574 results on '"Bianchi, T"'
Search Results
2. Low-Volume Metastases in Cervical Cancer: Does Size Matter?
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Bianchi, T, Grassi, T, Di Martino, G, Negri, S, Trezzi, G, Fruscio, R, Landoni, F, Bianchi T., Grassi T., Di Martino G., Negri S., Trezzi G., Fruscio R., Landoni F., Bianchi, T, Grassi, T, Di Martino, G, Negri, S, Trezzi, G, Fruscio, R, Landoni, F, Bianchi T., Grassi T., Di Martino G., Negri S., Trezzi G., Fruscio R., and Landoni F.
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Simple Summary The reported incidence of low-volume metastases (LVM) in early-stage cervical cancer ranges from 4 to 20%. Given the conflicting results of prospective and retrospective studies, their prognostic value is still debated, especially for isolated tumor cells (ITC). This narrative review aims to highlight current evidence, controversies, and unanswered questions about the definition and prognostic role of LVM.Abstract The implementation of sentinel lymph node (SLN) biopsy is changing the scenario in the surgical treatment of early-stage cervical cancer, and the oncologic safety of replacing bilateral pelvic lymphadenectomy with SLN biopsy is currently under investigation. Part of the undisputed value of SLN biopsy is its diagnostic accuracy in detecting low-volume metastases (LVM) via pathologic ultrastaging. In early-stage cervical cancer, the reported incidence of LVM ranges from 4 to 20%. The prognostic impact and the role of adjuvant treatment in patients with LVM is still unclear. Some non-prespecified analyses in prospective studies showed no impact on the oncologic outcomes compared to node-negative disease. However, the heterogeneity of the studies, the differences in the disease stage and the use of adjuvant treatment, and the concomitant pelvic lymphadenectomy (PLND) make reaching any conclusions on this topic hard. Current guidelines suggest considering micrometastases (MIC) as a node-positive disease, while considering isolated tumor cells (ITC) as a node-negative disease with a low level of evidence. This review aims to highlight the unanswered questions about the definition, identification, and prognostic and therapeutic roles of LVM and to underline the present and future challenges we are facing. We hope that this review will guide further research, giving robust evidence on LVM and their impacts on clinical practice.
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- 2024
3. SUrgical Access and Pattern of Recurrence of Endometrial Cancer: The SUPeR Study, a Multicenter Retrospective Observational Study
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Puppo, A, Migliaretti, G, Landoni, F, Uccella, S, Camanni, M, Ceccaroni, M, Delpiano, E, Mantovani, G, Roviglione, G, Bianchi, T, Grassi, T, Maggi, V, Garzon, S, Galli, L, Calandra, V, Olearo, E, Puppo A., Migliaretti G., Landoni F., Uccella S., Camanni M., Ceccaroni M., Delpiano E. M., Mantovani G., Roviglione G., Bianchi T., Grassi T., Maggi V., Garzon S., Galli L., Calandra V., Olearo E., Puppo, A, Migliaretti, G, Landoni, F, Uccella, S, Camanni, M, Ceccaroni, M, Delpiano, E, Mantovani, G, Roviglione, G, Bianchi, T, Grassi, T, Maggi, V, Garzon, S, Galli, L, Calandra, V, Olearo, E, Puppo A., Migliaretti G., Landoni F., Uccella S., Camanni M., Ceccaroni M., Delpiano E. M., Mantovani G., Roviglione G., Bianchi T., Grassi T., Maggi V., Garzon S., Galli L., Calandra V., and Olearo E.
- Abstract
Study Objective: To evaluate recurrence rate and pattern in apparently early-stage endometrial cancer (EC) treated with minimally invasive surgery (MIS) and compare it to the “historical” populations treated by laparotomy. Secondary outcomes were to establish if, among MIS recurrent patients, intermediate-high/high-risk patients presented the same recurrence pattern compared to those at low/intermediate-risk and to evaluate time to first recurrence (TTR) of the study population. Design: Multicenter retrospective observational study. Setting: Five Italian Gynecologic Oncology referral centers. Patients: All patients with proven recurrence of apparently early-stage EC treated with MIS from January 2017 to June 2022 . The laparotomic historical cohort was obtained from Laparoscopy Compared With Laparotomy for Comprehensive Surgical Staging of Uterine Cancer: Gynecologic Oncology Group Study (LAP2) and Laparoscopic Approach to Cancer of the Endometrium trials. Interventions: Evaluation of recurrence rate and pattern. Measurements and Main Results: Seventy-seven recurrences occurred on the total of 1028 patients treated with MIS for apparently early-stage EC during a median follow-up time of 36 months. The rate of recurrence in our cohort did not differ significantly from the rate of the historical cohort (7.4% vs 7.9%, odds ratio 0.9395, 95% CI 0.6901–1.2792). No significant differences were noticed for local, abdominal, nodal, and multiple site recurrence patterns; distant site recurrence appeared more likely in patients from the historical cohort. Postoperative low/intermediate risk patients had a higher likelihood of local recurrence compared to intermediate-high/high risk patients. Mean TTR was 19 months. No significant difference of TTR was observed for each pattern of recurrence compared to others. Conclusion: MIS appears to be safe for the treatment of early-stage EC. We did not identify any recurrence pattern specifically associated with MIS in early-stage EC.
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- 2024
4. The paradigm shift in advanced ovarian cancer: Outcomes of extensive primary cytoreductive surgery. A single-center retrospective analysis
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Bianchi, T, Grassi, T, Bazzurini, L, Testa, F, Corti, J, Pecis Cavagna, G, Bombelli, M, Lissoni, A, Di Martino, G, Trezzi, G, De Ponti, E, Fruscio, R, Landoni, F, Bianchi T., Grassi T., Bazzurini L., Testa F., Corti J., Pecis Cavagna G., Bombelli M., Lissoni A. A., Di Martino G., Trezzi G., De Ponti E., Fruscio R., Landoni F., Bianchi, T, Grassi, T, Bazzurini, L, Testa, F, Corti, J, Pecis Cavagna, G, Bombelli, M, Lissoni, A, Di Martino, G, Trezzi, G, De Ponti, E, Fruscio, R, Landoni, F, Bianchi T., Grassi T., Bazzurini L., Testa F., Corti J., Pecis Cavagna G., Bombelli M., Lissoni A. A., Di Martino G., Trezzi G., De Ponti E., Fruscio R., and Landoni F.
- Abstract
Objective: The standard surgical treatment of advanced ovarian carcinoma is primary debulking surgery (PDS) aiming to complete cytoreduction. The need to achieve complete cytoreduction has shifted the surgical paradigm to more complex procedures, whose impact on morbidity is controversial. The objective of this retrospective analysis is to explore the impact of extensive PDS on morbidity and oncologic outcomes in a real-world scenario. Methods: A retrospective single-center analysis was performed on 137 patients with advanced high-grade ovarian carcinoma (HGOC) who received PDS in 2015–2020. Patients treated in 2015–2017 (Group 1) were compared to patients treated in 2018–2020 (Group 2). The two periods were chosen according to the higher complexity of surgical procedures introduced in 2018. Results: The increase in complete cytoreduction observed in Group2 (RD 0: 33 % vs 61 %, p = 0,008) was related to a higher surgical complexity (Aletti Score: 4 vs 6, p = 0,003) and did not reflect an increase in peri-operative complications (CCI: 20,9 vs 20,9, p = 0,11). After a median FUP of 44 months, PFS and OS at 24 months were 33,60 % vs 47,33 % (p = 0,288) and 72,10 % vs 80,37 % (p = 0,022) in Group 1 and 2, respectively. Conclusions: An extensive surgical effort leads to a significant increase in complete cytoreduction with acceptable morbidity. Arm-in-arm with novel maintenance therapies, it contributes to increasing the outcomes of patients with advanced HGOC.
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- 2024
5. Synthetic Data Pretraining for Hyperspectral Image Super-Resolution
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Aiello, E, Agarla, M, Valsesia, D, Napoletano, P, Bianchi, T, Magli, E, Schettini, R, Aiello E., Agarla M., Valsesia D., Napoletano P., Bianchi T., Magli E., Schettini R., Aiello, E, Agarla, M, Valsesia, D, Napoletano, P, Bianchi, T, Magli, E, Schettini, R, Aiello E., Agarla M., Valsesia D., Napoletano P., Bianchi T., Magli E., and Schettini R.
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Large-scale self-supervised pretraining of deep learning models is known to be critical in several fields, such as language processing, where its has led to significant breakthroughs. Indeed, it is often more impactful than architectural designs. However, the use of self-supervised pretraining lags behind in several domains, such as hyperspectral images, due to data scarcity. This paper addresses the challenge of data scarcity in the development of methods for spatial super-resolution of hyperspectral images (HSI-SR). We show that state-of-the-art HSI-SR methods are severely bottlenecked by the small paired datasets that are publicly available, also leading to unreliable assessment of the architectural merits of the models. We propose to capitalize on the abundance of high resolution (HR) RGB images to develop a self-supervised pretraining approach that significantly improves the quality of HSI-SR models. In particular, we leverage advances in spectral reconstruction methods to create a vast dataset with high spatial resolution and plausible spectra from RGB images, to be used for pretraining HSI-SR methods. Experimental results, conducted across multiple datasets, report large gains for state-of-the-art HSI-SR methods when pretrained according to the proposed procedure, and also highlight the unreliability of ranking methods when training on small datasets.
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- 2024
6. Genomic instability analysis in DNA from Papanicolaou test provides proof-of-principle early diagnosis of high-grade serous ovarian cancer
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Paracchini, L, Mannarino, L, Romualdi, C, Zadro, R, Beltrame, L, Nerini, I, Zola, P, Laudani, M, Pagano, E, Giordano, L, Fruscio, R, Landoni, F, Franceschi, S, Dalessandro, M, Canzonieri, V, Bocciolone, L, Lorusso, D, Bosetti, C, Raspagliesi, F, Garassino, I, D'Incalci, M, Marchini, S, Grassi, T, Bianchi, T, Cursano, G, Mangili, G, Scambia, G, Marchetti, C, Boldorini, R, De Rosa, G, Ferrero, A, Feyles, E, Goia, M, Manini, C, Orlassino, R, Surico, D, Volante, M, Greggi, S, Jaconi, M, Bella, C, Vitobello, D, di Loreto, C, Pizzolitto, S, Zanconati, F, Ciccone, G, Armaroli, P, Larato, C, Rizzolo, R, Paracchini L., Mannarino L., Romualdi C., Zadro R., Beltrame L., Nerini I. F., Zola P., Laudani M. E., Pagano E., Giordano L., Fruscio R., Landoni F., Franceschi S., Dalessandro M. L., Canzonieri V., Bocciolone L., Lorusso D., Bosetti C., Raspagliesi F., Garassino I. M. G., D'Incalci M., Marchini S., Grassi T., Bianchi T., Cursano G., Mangili G., Scambia G., Marchetti C., Boldorini R., De Rosa G., Ferrero A., Feyles E., Goia M., Manini C., Orlassino R., Surico D., Volante M., Greggi S., Jaconi M., Bella C. D., Vitobello D., di Loreto C., Pizzolitto S., Zanconati F., Ciccone G., Armaroli P., Larato C., Rizzolo R., Paracchini, L, Mannarino, L, Romualdi, C, Zadro, R, Beltrame, L, Nerini, I, Zola, P, Laudani, M, Pagano, E, Giordano, L, Fruscio, R, Landoni, F, Franceschi, S, Dalessandro, M, Canzonieri, V, Bocciolone, L, Lorusso, D, Bosetti, C, Raspagliesi, F, Garassino, I, D'Incalci, M, Marchini, S, Grassi, T, Bianchi, T, Cursano, G, Mangili, G, Scambia, G, Marchetti, C, Boldorini, R, De Rosa, G, Ferrero, A, Feyles, E, Goia, M, Manini, C, Orlassino, R, Surico, D, Volante, M, Greggi, S, Jaconi, M, Bella, C, Vitobello, D, di Loreto, C, Pizzolitto, S, Zanconati, F, Ciccone, G, Armaroli, P, Larato, C, Rizzolo, R, Paracchini L., Mannarino L., Romualdi C., Zadro R., Beltrame L., Nerini I. F., Zola P., Laudani M. E., Pagano E., Giordano L., Fruscio R., Landoni F., Franceschi S., Dalessandro M. L., Canzonieri V., Bocciolone L., Lorusso D., Bosetti C., Raspagliesi F., Garassino I. M. G., D'Incalci M., Marchini S., Grassi T., Bianchi T., Cursano G., Mangili G., Scambia G., Marchetti C., Boldorini R., De Rosa G., Ferrero A., Feyles E., Goia M., Manini C., Orlassino R., Surico D., Volante M., Greggi S., Jaconi M., Bella C. D., Vitobello D., di Loreto C., Pizzolitto S., Zanconati F., Ciccone G., Armaroli P., Larato C., and Rizzolo R.
- Abstract
Late diagnosis and the lack of screening methods for early detection define high-grade serous ovarian cancer (HGSOC) as the gynecological malignancy with the highest mortality rate. In the work presented here, we investigated a retrospective and multicentric cohort of 250 archival Papanicolaou (Pap) test smears collected during routine gynecological screening. Samples were taken at different time points (from 1 month to 13.5 years before diagnosis) from 113 presymptomatic women who were subsequently diagnosed with HGSOC (pre-HGSOC) and from 77 healthy women. Genome instability was detected through low-pass whole-genome sequencing of DNA derived from Pap test samples in terms of copy number profile abnormality (CPA). CPA values of DNA extracted from Pap test samples from pre-HGSOC women were substantially higher than those in samples from healthy women. Consistently with the longitudinal analysis of clonal pathogenic TP53 mutations, this assay could detect HGSOC presence up to 9 years before diagnosis. This finding confirms the continual shedding of tumor cells from fimbriae toward the endocervical canal, suggesting a new path for the early diagnosis of HGSOC. We integrated the CPA score into the EVA (early ovarian cancer) test, the sensitivity of which was 75% (95% CI, 64.97 to 85.79), the specificity 96% (95% CI, 88.35 to 100.00), and the accuracy 81%. This proof-of-principle study indicates that the early diagnosis of HGSOC is feasible through the analysis of genomic alterations in DNA from endocervical smears.
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- 2023
7. Radical Hysterectomy in Early-Stage Cervical Cancer: Abandoning the One-Fits-All Concept
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Bianchi, T, Grassi, T, Bazzurini, L, Di Martino, G, Negri, S, Fruscio, R, Trezzi, G, Landoni, F, Bianchi T., Grassi T., Bazzurini L., Di Martino G., Negri S., Fruscio R., Trezzi G., Landoni F., Bianchi, T, Grassi, T, Bazzurini, L, Di Martino, G, Negri, S, Fruscio, R, Trezzi, G, Landoni, F, Bianchi T., Grassi T., Bazzurini L., Di Martino G., Negri S., Fruscio R., Trezzi G., and Landoni F.
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Two pillars in modern oncology are treatment personalization and the reduction in treatment-related morbidity. For decades, the one-fits-all concept of radical hysterectomy has been the cornerstone of early-stage cervical cancer surgical treatment. However, no agreement exists about the prevalent method of parametrial invasion, and the literature is conflicting regarding the extent of parametrectomy needed to achieve adequate surgical radicality. Therefore, authors started investigating if less radical surgery was feasible and oncologically safe in these patients. Two historical randomized controlled trials (RCTs) compared classical radical hysterectomy (RH) to modified RH and simple hysterectomy. Less radical surgery showed a drastic reduction in morbidity without jeopardizing oncological outcomes. However, given the high frequency of adjuvant radiotherapy, the real impact of reduced radicality could not be estimated. Subsequently, several retrospective studies investigated the chance of tailoring parametrectomy according to the tumor's characteristics. Parametrial involvement was shown to be negligible in early-stage low-risk cervical cancer. An observational prospective study and a phase II exploratory RCT have recently confirmed the feasibility and safety of simple hysterectomy in this subgroup of patients. The preliminary results of a large prospective RCT comparing simple vs. radical surgery for early-stage low-risk cervical cancer show strong probability of giving a final answer on this topic.
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- 2023
8. An Overview of PARP Resistance in Ovarian Cancer from a Molecular and Clinical Perspective
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Cordani, N, Bianchi, T, Ammoni, L, Cortinovis, D, Cazzaniga, M, Lissoni, A, Landoni, F, Canova, S, Cordani N., Bianchi T., Ammoni L. C., Cortinovis D. L., Cazzaniga M. E., Lissoni A. A., Landoni F., Canova S., Cordani, N, Bianchi, T, Ammoni, L, Cortinovis, D, Cazzaniga, M, Lissoni, A, Landoni, F, Canova, S, Cordani N., Bianchi T., Ammoni L. C., Cortinovis D. L., Cazzaniga M. E., Lissoni A. A., Landoni F., and Canova S.
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Epithelial ovarian cancer (EOC), a primarily high-grade serous carcinoma (HGSOC), is one of the major causes of high death-to-incidence ratios of all gynecological cancers. Cytoreductive surgery and platinum-based chemotherapy represent the main treatments for this aggressive disease. Molecular characterization of HGSOC has revealed that up to 50% of cases have a deficiency in the homologous recombination repair (HRR) system, which makes these tumors sensitive to poly ADP-ribose inhibitors (PARP-is). However, drug resistance often occurs and overcoming it represents a big challenge. A number of strategies are under investigation, with the most promising being combinations of PARP-is with antiangiogenetic agents and immune checkpoint inhibitors. Moreover, new drugs targeting different pathways, including the ATR-CHK1-WEE1, the PI3K-AKT and the RAS/RAF/MEK, are under development both in phase I and II–III clinical trials. Nevertheless, there is still a long way to go, and the next few years promise to be exciting.
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- 2023
9. Lymph node staging in grade 1–2 endometrioid ovarian carcinoma apparently confined to the ovary: Is it worth?
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Bizzarri, N, Imterat, M, Fruscio, R, Giannarelli, D, Perrone, A, Mancari, R, Traut, A, Rosati, A, du Bois, A, Ferrari, D, De Iaco, P, Ergasti, R, Ataseven, B, Bianchi, T, Di Stanislao, M, Perri, M, Heitz, F, Concin, N, Fanfani, F, Vizza, E, Scambia, G, Harter, P, Fagotti, A, Bizzarri N., Imterat M., Fruscio R., Giannarelli D., Perrone A. M., Mancari R., Traut A., Rosati A., du Bois A., Ferrari D., De Iaco P., Ergasti R., Ataseven B., Bianchi T., Di Stanislao M., Perri M. T., Heitz F., Concin N., Fanfani F., Vizza E., Scambia G., Harter P., Fagotti A., Bizzarri, N, Imterat, M, Fruscio, R, Giannarelli, D, Perrone, A, Mancari, R, Traut, A, Rosati, A, du Bois, A, Ferrari, D, De Iaco, P, Ergasti, R, Ataseven, B, Bianchi, T, Di Stanislao, M, Perri, M, Heitz, F, Concin, N, Fanfani, F, Vizza, E, Scambia, G, Harter, P, Fagotti, A, Bizzarri N., Imterat M., Fruscio R., Giannarelli D., Perrone A. M., Mancari R., Traut A., Rosati A., du Bois A., Ferrari D., De Iaco P., Ergasti R., Ataseven B., Bianchi T., Di Stanislao M., Perri M. T., Heitz F., Concin N., Fanfani F., Vizza E., Scambia G., Harter P., and Fagotti A.
- Abstract
Objective: The aim of this study was to assess the disease-free survival (DFS) and overall survival (OS) of patients with grade 1–2 endometrioid ovarian carcinoma apparently confined to the ovary, according to surgical staging. Methods: Multicenter, retrospective, observational cohort study. Patients with endometrioid ovarian carcinoma, surgical procedure performed between May 1985 and December 2019, stage pT1 N0/N1/Nx, grade 1–2 were included. Patients were stratified according to lymphadenectomy (defined as removal of any lymph node versus no lymph node assessment), and subgroup analyses according to tumor grade were performed. Kaplan-Meier curves and cox regression analyses were used to perform survival analyses. Results: 298 patients were included. 199 (66.8 %) patients underwent lymph node assessment. Of these, 166 (83.4 %) had unilateral/bilateral pelvic and para-aortic/caval lymphadenectomy. Eleven (5.5 %) patients of those who underwent lymph node assessment showed pathologic metastatic lymph nodes (FIGO stage IIIA1). Twenty-seven patients (9.1 %) had synchronous endometrioid endometrial cancer. After a median follow up of 45 months (95 %CI:37.5–52.5), 5-year DFS and OS of the entire cohort were 89.8 % and 96.2 %, respectively. Age ≤ 51 years (HR=0.24, 95 %CI:0.06–0.91; p = 0.036) and performance of lymphadenectomy (HR=0.25, 95 %CI: 0.07–0.82; p = 0.022) represented independent protective factors toward risk of death. Patients undergoing lymphadenectomy had better 5-year DFS and OS compared to those not receiving lymphadenectomy, 92.0 % versus 85.6 % (p = 0.016) and 97.7 % versus 92.8 % (p = 0.013), respectively. This result was confirmed after exclusion of node-positive patients. When stratifying according to tumor grade (node-positive excluded), patients with grade 2 who underwent lymphadenectomy had better 5-year DFS and OS than those without lymphadenectomy (93.0 % versus 83.1 %, p = 0.040 % and 96.5 % versus 90.6 %, p = 0.037, respectively). Conclusion
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- 2023
10. Recent trophic state changes of selected Florida lakes inferred from bulk sediment geochemical variables and biomarkers
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Arnold, T. E., Brenner, M., Kenney, W. F., and Bianchi, T. S.
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- 2019
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11. Biogeochemical Characteristics of the Lower Mississippi River, USA, during June 2003
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Dagg, M. J., Bianchi, T. S., Breed, G. A., Duan, S., Liu, H., McKee, B. A., Powell, R. T., and Stewart, C. M.
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- 2005
12. Effects of Estuarine Organic Matter Biogeochemistry on the Bioaccumulation of PAHs by Two Epibenthic Species
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Mitra, S., Klerks, P. L., Bianchi, T. S., Means, J., and Carman, K. R.
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- 2000
13. Copy number alterations in stage I epithelial ovarian cancer highlight three genomic patterns associated with prognosis
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Pesenti, C, Beltrame, L, Velle, A, Fruscio, R, Jaconi, M, Borella, F, Cribiu, F, Calura, E, Venturini, L, Lenoci, D, Agostinis, F, Katsaros, D, Panini, N, Bianchi, T, Landoni, F, Miozzo, M, D'Incalci, M, Brenton, J, Romualdi, C, Marchini, S, Pesenti C., Beltrame L., Velle A., Fruscio R., Jaconi M., Borella F., Cribiu F. M., Calura E., Venturini L. V., Lenoci D., Agostinis F., Katsaros D., Panini N., Bianchi T., Landoni F., Miozzo M., D'Incalci M., Brenton J. D., Romualdi C., Marchini S., Pesenti, C, Beltrame, L, Velle, A, Fruscio, R, Jaconi, M, Borella, F, Cribiu, F, Calura, E, Venturini, L, Lenoci, D, Agostinis, F, Katsaros, D, Panini, N, Bianchi, T, Landoni, F, Miozzo, M, D'Incalci, M, Brenton, J, Romualdi, C, Marchini, S, Pesenti C., Beltrame L., Velle A., Fruscio R., Jaconi M., Borella F., Cribiu F. M., Calura E., Venturini L. V., Lenoci D., Agostinis F., Katsaros D., Panini N., Bianchi T., Landoni F., Miozzo M., D'Incalci M., Brenton J. D., Romualdi C., and Marchini S.
- Abstract
Background: Stage I epithelial ovarian cancer (EOC) encompasses five histologically different subtypes of tumors confined to the ovaries with a generally favorable prognosis. Despite the intrinsic heterogeneity, all stage I EOCs are treated with complete resection and adjuvant therapy in most of the cases. Owing to the lack of robust prognostic markers, this often leads to overtreatment. Therefore, a better molecular characterization of stage I EOCs could improve the assessment of the risk of relapse and the refinement of optimal treatment options. Materials and methods: 205 stage I EOCs tumor biopsies with a median follow-up of eight years were gathered from two independent Italian tumor tissue collections, and the genome distribution of somatic copy number alterations (SCNAs) was investigated by shallow whole genome sequencing (sWGS) approach. Results: Despite the variability in SCNAs distribution both across and within the histotypes, we were able to define three common genomic instability patterns, namely stable, unstable, and highly unstable. These patterns were based on the percentage of the genome affected by SCNAs and on their length. The genomic instability pattern was strongly predictive of patients’ prognosis also with multivariate models including currently used clinico-pathological variables. Conclusions: The results obtained in this study support the idea that novel molecular markers, in this case genomic instability patterns, can anticipate the behavior of stage I EOC regardless of tumor subtype and provide valuable prognostic information. Thus, it might be propitious to extend the study of these genomic instability patterns to improve rational management of this disease.
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- 2022
14. Advanced low grade serous ovarian cancer: A retrospective analysis of surgical and chemotherapeutic management in two high volume oncological centers
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Di Lorenzo, P, Conteduca, V, Scarpi, E, Adorni, M, Multinu, F, Garbi, A, Betella, I, Grassi, T, Bianchi, T, Di Martino, G, Amadori, A, Maniglio, P, Strada, I, Carinelli, S, Jaconi, M, Aletti, G, Zanagnolo, V, Maggioni, A, Savelli, L, De Giorgi, U, Landoni, F, Colombo, N, Fruscio, R, Di Lorenzo P., Conteduca V., Scarpi E., Adorni M., Multinu F., Garbi A., Betella I., Grassi T., Bianchi T., Di Martino G., Amadori A., Maniglio P., Strada I., Carinelli S., Jaconi M., Aletti G., Zanagnolo V., Maggioni A., Savelli L., De Giorgi U., Landoni F., Colombo N., Fruscio R., Di Lorenzo, P, Conteduca, V, Scarpi, E, Adorni, M, Multinu, F, Garbi, A, Betella, I, Grassi, T, Bianchi, T, Di Martino, G, Amadori, A, Maniglio, P, Strada, I, Carinelli, S, Jaconi, M, Aletti, G, Zanagnolo, V, Maggioni, A, Savelli, L, De Giorgi, U, Landoni, F, Colombo, N, Fruscio, R, Di Lorenzo P., Conteduca V., Scarpi E., Adorni M., Multinu F., Garbi A., Betella I., Grassi T., Bianchi T., Di Martino G., Amadori A., Maniglio P., Strada I., Carinelli S., Jaconi M., Aletti G., Zanagnolo V., Maggioni A., Savelli L., De Giorgi U., Landoni F., Colombo N., and Fruscio R.
- Abstract
Background: Low-grade serous ovarian cancer (LGSOC) is a rare entity with different behavior compared to high-grade serous (HGSOC). Because of its general low chemosensitivity, complete cytoreductive surgery with no residual disease is crucial in advanced stage LGSOC. We evaluated the impact of optimal cytoreduction on survival outcome both at first diagnosis and at recurrence. Methods: We retrospectively studied consecutive patients diagnosed with advanced LGSOCs who underwent cytoreductive surgery in two oncological centers from January 1994 to December 2018. Survival curves were estimated by the Kaplan–Meier method, and 95% confidence intervals (95% CI) were estimated using the Greenwood formula. Results: A total of 92 patients were included (median age was 47 years, IQR 35–64). The median overall survival (OS) was 142.3 months in patients with no residual disease (RD), 86.4 months for RD 1–10 mm and 35.2 months for RD >10 mm (p = 0.002). Progression-free survival (PFS) was inversely related to RD after primary cytoreductive surgery (RD = 0 vs RD = 1–10 mm vs RD >10 mm, p = 0.002). On multivariate analysis, RD 1–10 mm (HR = 2.30, 95% CI 1.30–4.06, p = 0.004), RD >10 mm (HR = 3.89, 95% CI 1.92–7.88, p = 0.0004), FIGO stage IV (p = 0.001), and neoadjuvant chemotherapy (NACT) (p = 0.010) were independent predictors of PFS. RD >10 mm (HR = 3.13, 95% CI 1.52–6.46, p = 0.004), FIGO stage IV (p <0.0001) and NACT (p = 0.030) were significantly associated with a lower OS. Conclusions: Optimal cytoreductive surgery improves survival outcomes in advanced stage LGSOCs. When complete debulking is impossible, a RD <10 mm confers better OS compared to an RD >10 mm in this setting of patients.
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- 2022
15. Lymph node staging in grade 1–2 endometrioid ovarian carcinoma apparently confined to the ovary: Is it worth?
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Bizzarri, Nicolo', Imterat, M., Fruscio, R., Giannarelli, Diana, Perrone, A. M., Mancari, R., Traut, A., Rosati, A., du Bois, A., Ferrari, D., De Iaco, P., Ergasti, R., Ataseven, B., Bianchi, T., Di Stanislao, M., Perri, M. T., Heitz, F., Concin, N., Fanfani, Francesco, Vizza, E., Scambia, Giovanni, Harter, P., Fagotti, Anna, Bizzarri N., Giannarelli D., Fanfani F. (ORCID:0000-0003-1991-7284), Scambia G. (ORCID:0000-0003-2758-1063), Fagotti A. (ORCID:0000-0001-5579-335X), Bizzarri, Nicolo', Imterat, M., Fruscio, R., Giannarelli, Diana, Perrone, A. M., Mancari, R., Traut, A., Rosati, A., du Bois, A., Ferrari, D., De Iaco, P., Ergasti, R., Ataseven, B., Bianchi, T., Di Stanislao, M., Perri, M. T., Heitz, F., Concin, N., Fanfani, Francesco, Vizza, E., Scambia, Giovanni, Harter, P., Fagotti, Anna, Bizzarri N., Giannarelli D., Fanfani F. (ORCID:0000-0003-1991-7284), Scambia G. (ORCID:0000-0003-2758-1063), and Fagotti A. (ORCID:0000-0001-5579-335X)
- Abstract
Objective: The aim of this study was to assess the disease-free survival (DFS) and overall survival (OS) of patients with grade 1–2 endometrioid ovarian carcinoma apparently confined to the ovary, according to surgical staging. Methods: Multicenter, retrospective, observational cohort study. Patients with endometrioid ovarian carcinoma, surgical procedure performed between May 1985 and December 2019, stage pT1 N0/N1/Nx, grade 1–2 were included. Patients were stratified according to lymphadenectomy (defined as removal of any lymph node versus no lymph node assessment), and subgroup analyses according to tumor grade were performed. Kaplan-Meier curves and cox regression analyses were used to perform survival analyses. Results: 298 patients were included. 199 (66.8 %) patients underwent lymph node assessment. Of these, 166 (83.4 %) had unilateral/bilateral pelvic and para-aortic/caval lymphadenectomy. Eleven (5.5 %) patients of those who underwent lymph node assessment showed pathologic metastatic lymph nodes (FIGO stage IIIA1). Twenty-seven patients (9.1 %) had synchronous endometrioid endometrial cancer. After a median follow up of 45 months (95 %CI:37.5–52.5), 5-year DFS and OS of the entire cohort were 89.8 % and 96.2 %, respectively. Age ≤ 51 years (HR=0.24, 95 %CI:0.06–0.91; p = 0.036) and performance of lymphadenectomy (HR=0.25, 95 %CI: 0.07–0.82; p = 0.022) represented independent protective factors toward risk of death. Patients undergoing lymphadenectomy had better 5-year DFS and OS compared to those not receiving lymphadenectomy, 92.0 % versus 85.6 % (p = 0.016) and 97.7 % versus 92.8 % (p = 0.013), respectively. This result was confirmed after exclusion of node-positive patients. When stratifying according to tumor grade (node-positive excluded), patients with grade 2 who underwent lymphadenectomy had better 5-year DFS and OS than those without lymphadenectomy (93.0 % versus 83.1 %, p = 0.040 % and 96.5 % versus 90.6 %, p = 0.037, respectively). Conclusion
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- 2023
16. Advanced low grade serous ovarian cancer: A retrospective analysis of surgical and chemotherapeutic management in two high volume oncological centers
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Di Lorenzo P., Conteduca V., Scarpi E., Adorni M., Multinu F., Garbi A., Betella I., Grassi T., Bianchi T., Di Martino G., Amadori A., Maniglio P., Strada I., Carinelli S., Jaconi M., Aletti G., Zanagnolo V., Maggioni A., Savelli L., De Giorgi U., Landoni F., Colombo N., Fruscio R., Di Lorenzo, P, Conteduca, V, Scarpi, E, Adorni, M, Multinu, F, Garbi, A, Betella, I, Grassi, T, Bianchi, T, Di Martino, G, Amadori, A, Maniglio, P, Strada, I, Carinelli, S, Jaconi, M, Aletti, G, Zanagnolo, V, Maggioni, A, Savelli, L, De Giorgi, U, Landoni, F, Colombo, N, and Fruscio, R
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low-grade serous ovarian cancer ,Cancer Research ,Oncology ,primary cytoreduction ,adjuvant treatment ,residual disease ,secondary cytoreductive surgery ,neoadjuvant chemotherapy - Abstract
Simple summaryLow-grade serous ovarian cancer (LGSOC) represents an uncommon histotype of serous ovarian cancer (accounting for approximately 5% of all ovarian cancer) with a distinct behavior compared to its high-grade serous counterpart, characterized by a better prognosis and low response rate to chemotherapeutic agents. Similar to high-grade serous ovarian cancer, cytoreductive surgery is considered crucial for patient survival. This retrospective study aimed to analyze the outcomes of women affected by advanced stages (III–IV FIGO) of LGSOC from two high-volume oncological centers for ovarian neoplasm. In particular, we sought to evaluate the impact on survival outcomes of optimal cytoreductive surgery [i.e., residual disease (RD) BackgroundLow-grade serous ovarian cancer (LGSOC) is a rare entity with different behavior compared to high-grade serous (HGSOC). Because of its general low chemosensitivity, complete cytoreductive surgery with no residual disease is crucial in advanced stage LGSOC. We evaluated the impact of optimal cytoreduction on survival outcome both at first diagnosis and at recurrence.MethodsWe retrospectively studied consecutive patients diagnosed with advanced LGSOCs who underwent cytoreductive surgery in two oncological centers from January 1994 to December 2018. Survival curves were estimated by the Kaplan–Meier method, and 95% confidence intervals (95% CI) were estimated using the Greenwood formula.ResultsA total of 92 patients were included (median age was 47 years, IQR 35–64). The median overall survival (OS) was 142.3 months in patients with no residual disease (RD), 86.4 months for RD 1–10 mm and 35.2 months for RD >10 mm (p = 0.002). Progression-free survival (PFS) was inversely related to RD after primary cytoreductive surgery (RD = 0 vs RD = 1–10 mm vs RD >10 mm, p = 0.002). On multivariate analysis, RD 1–10 mm (HR = 2.30, 95% CI 1.30–4.06, p = 0.004), RD >10 mm (HR = 3.89, 95% CI 1.92–7.88, p = 0.0004), FIGO stage IV (p = 0.001), and neoadjuvant chemotherapy (NACT) (p = 0.010) were independent predictors of PFS. RD >10 mm (HR = 3.13, 95% CI 1.52–6.46, p = 0.004), FIGO stage IV (p ConclusionsOptimal cytoreductive surgery improves survival outcomes in advanced stage LGSOCs. When complete debulking is impossible, a RD 10 mm in this setting of patients.
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- 2022
17. INTEGRATED PATHWAY ANALYSIS IDENTIFIES A 3-GENE SIGNATURE PREDICTING PLATINUM RESPONSE AND OUTCOME OF HIGH GRADE SEROUS OVARIAN CARCINOMA PATIENTS: EP1116
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Bignotti, E, Benvenuto, G, Paracchini, L, Zanotti, L, Romani, C, Tognon, G, Calura, E, Vicini, D, Adorni, M, Paderno, M C, Bianchi, T, Odicino, F, Sartori, E, Ravaggi, A, DʼIncalci, M, Marchini, S, Todeschini, P, and Romualdi, C
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- 2019
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18. Enhancing Privacy in Remote Data Classification
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Piva, A., Orlandi, C., Caini, M., Bianchi, T., Barni, M., Jajodia, Sushil, Series editor, Samarati, Pierangela, Series editor, and Cimato, Stelvio, Series editor
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- 2008
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19. Diagnosis and Management of Intravenous Drug Users’ Chronic Wounds: A Case Series Collection of a Single Center
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Starace, M., primary, Viviani, F., additional, Carpanese, M. A., additional, Alessandrini, A., additional, Sechi, A., additional, Patrizi, A., additional, and Bianchi, T., additional
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- 2022
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20. Detection of TP53 Clonal Variants in Papanicolaou Test Samples Collected up to 6 Years Prior to High-Grade Serous Epithelial Ovarian Cancer Diagnosis
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Paracchini, L, Pesenti, C, Delle Marchette, M, Beltrame, L, Bianchi, T, Grassi, T, Buda, A, Landoni, F, Ceppi, L, Bosetti, C, Paderno, M, Adorni, M, Vicini, D, Perego, P, Leone, B, D'Incalci, M, Marchini, S, Fruscio, R, Paracchini L., Pesenti C., Delle Marchette M., Beltrame L., Bianchi T., Grassi T., Buda A., Landoni F., Ceppi L., Bosetti C., Paderno M., Adorni M., Vicini D., Perego P., Leone B. E., D'Incalci M., Marchini S., Fruscio R., Paracchini, L, Pesenti, C, Delle Marchette, M, Beltrame, L, Bianchi, T, Grassi, T, Buda, A, Landoni, F, Ceppi, L, Bosetti, C, Paderno, M, Adorni, M, Vicini, D, Perego, P, Leone, B, D'Incalci, M, Marchini, S, Fruscio, R, Paracchini L., Pesenti C., Delle Marchette M., Beltrame L., Bianchi T., Grassi T., Buda A., Landoni F., Ceppi L., Bosetti C., Paderno M., Adorni M., Vicini D., Perego P., Leone B. E., D'Incalci M., Marchini S., and Fruscio R.
- Abstract
Importance: The low 5-year survival rate of women with high-grade serous epithelial ovarian cancer (HGS-EOC) is related to its late diagnosis; thus, improvement in diagnosis constitutes a crucial step to increase the curability of this disease. Objective: To determine whether the presence of the clonal pathogenic TP53 variant detected in matched primary tumor biopsies can be identified in DNA purified from Papanicolaou test samples collected from women with HGS-EOC years before the diagnosis. Design, Setting, and Participants: This cohort study was conducted among a single-center cohort of women with histologically confirmed diagnosis of HGS-EOC recruited at San Gerardo Hospital, Monza, Italy, from October 15, 2015, to January 4, 2019. Serial dilutions of DNA derived from tumor samples and DNA extracted from healthy women's Papanicolaou test samples were analyzed to define the sensitivity and specificity of droplet digital polymerase chain reaction assays designed to detect the TP53 variants identified in tumors. All available brush-based Papanicolaou test slides performed up to 6 years before diagnosis were investigated at the Mario Negri Institute, Milano, Italy. Data were analyzed from October 2018 to December 2019. Main Outcomes and Measures: The presence of tumor pathogenic TP53 variants was assessed by the droplet digital polymerase chain reaction approach in DNA purified from Papanicolaou test samples obtained from the same patients before diagnosis during cervical cancer screenings. Results: Among 17 included patients (median [interquartile range] age at diagnosis, 60 [53-69] years), Papanicolaou tests withdrawn before diagnosis presented tumor-matched TP53 variants in 11 patients (64%). In 2 patients for whom longitudinal Papanicolaou tests were available, including 1 patient with Papanicolaou tests from 25 and 49 months before diagnosis and 1 patient with Papanicolaou tests from 27 and 68 months before diagnosis, the TP53 clonal variant was detected at all
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- 2020
21. Deep motion‐compensation enhancement in video compression
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Prette, N., primary, Valsesia, D., additional, Bianchi, T., additional, Magli, E., additional, Naccari, M., additional, and Fiandrotti, A., additional
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- 2022
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22. Molecular characterization of Giardia lamblia and risk factors for giardiasis among immunocompromised patients in southern Brazil
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Jeske, S. T., primary, Macedo, M. R. P., additional, Bianchi, T., additional, Leon, Í. F., additional, Pinheiro, N. B., additional, Borsuk, S., additional, and Villela, M., additional
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- 2022
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23. Seroprevalence of Chagas disease in Southern Brazilian cardiac patients and their knowledge about the parasitosis and vectors
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Dutra, A. S., primary, Stauffert, D., additional, Bianchi, T. F., additional, Ribeiro, D. R. P., additional, and Villela, M. M., additional
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- 2021
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24. An introduction to the biogeochemistry of river-coastal systems
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Bianchi, T. S., primary, Bianchi, T. S., additional, Allison, M. A., additional, and Cai, W.-J., additional
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- 2013
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25. A Novel Satellite Architecture for the Next Generation of Earth Observation Satellites Supporting Rapid Alerts
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Kerr, M., Tonetti, S., Cornara, S., Bravo, J. I., Hinz, R., Latorre, A., Membibre, F., Ramos, A., Moron, A., Solimini, C., Wiehle, S., Breit, H., Günzel, D., Mandapati, S., Tings, B., Balss, U., Koudelka, O., Teschl, F., Magli, E., Bianchi, T., Migliorati, A., Ros, P. Motto, Caon, M., Martina, M., Freddi, R., Milani, F., Curci, G., Fraile, S., and Marcos, C.
- Abstract
The EO-ALERT European Commission H2020 project proposes the definition, development, and verification and validation through ground hardware testing, of a next-generation Earth Observation (EO) data processing chain. The proposed data processing chain is based on a novel flight segment architecture that moves EO data processing elements traditionally executed in the ground segment to on-board the satellite, with the aim of delivering EO products to the end user with very low latency. EO-ALERT achieves, globally, latencies below five minutes for EO products delivery, and below one minute in realistic scenarios. The proposed EO-ALERT architecture is enabled by on-board processing, recent improvements in processing hardware using Commercial Off-The-Shelf (COTS) components, and persistent space-to-ground communications links. EO-ALERT combines innovations in the on-board elements of the data chain and the communications, namely: on-board reconfigurable data handling, on-board image generation and processing for the generation of alerts (EO products) using Machine Learning (ML) and Artificial Intelligence (AI), on-board AI-based data compression and encryption, high-speed on-board avionics, and reconfigurable high data rate communication links to ground, including a separate chain for alerts with minimum latency and global coverage. This paper presents the proposed architecture, its hardware realization for the ground testing in a representative environment and its performance. The architecture’s performance is evaluated considering two different user scenarios where very low latency (almost-real-time) EO product delivery is required: ship detection and extreme weather monitoring/nowcasting. The hardware testing results show that, when implemented using COTS components and available communication links, the proposed architecture can deliver alerts to the end user with a latency below five minutes, for both SAR and Optical missions, demonstrating the viability of the EO-ALERT architecture. In particular, in several test scenarios, for both the TerraSAR-X SAR and DEIMOS-2 Optical Very High Resolution (VHR) missions, hardware testing of the proposed architecture has shown it can deliver EO products and alerts to the end user globally, with latency lower than one-point-five minutes.
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- 2021
26. Validation of a documentary on Chagas disease by a population living in an endemic area
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Bianchi, T. F., primary, Jeske, S., additional, Sartori, A., additional, Grala, A. P., additional, and Villela, M. M., additional
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- 2021
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27. Un microenvironnement tumoral riche en lymphocytes T CD8 et macrophages prédit l’efficacité des anti-PD-1 dans les carcinomes épidermoïdes cutanés
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Lebas, F., Gerbert-Ferrendier, T., Fourcade, L., Nihous, H., Beaufrere, A., Bianchi, T., Garcia, M.E., Richard, M.A., Gaudy-Marqueste, C., Macagno, N., Delaporte, E., and Amatore, F.
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- 2023
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28. Reviews and Syntheses: Carbon biogeochemistry of Indian estuaries.
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Dutta, Manab Kumar, Sreelash, K., Padmalal, D., Ward, N. D., and Bianchi, T. S.
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ESTUARIES ,DISSOLVED organic matter ,BIOGEOCHEMISTRY ,ANAEROBIC metabolism ,FRESHWATER algae ,ATMOSPHERE ,CARBON cycle ,CHEMICAL weathering - Abstract
The goal of this review is to provide a comprehensive overview of the magnitude and drivers of carbon cycling dynamics in the major estuaries of India. Data from a total of 32 estuaries along the Bay of Bengal (BB) and the Arabian Sea (AS) were compiled from the literature and re-analysed based on changes in season (wet vs. dry) and marine end-members (e.g., BB vs. AS). The estuaries are generally undersaturated in dissolved oxygen relative to the atmosphere and strongly influenced by local and regional precipitation patterns. Speciation of the dissolved inorganic carbon (DIC) pool is dominated by bicarbonate and primarily variability in DIC is controlled by a combination of carbonate weathering, the degree of precipitation, the length of the estuaries, in situ respiration, and mixing. Carbonate dissolution had the largest influence on DIC during the wet season, while respiration was the primary control of DIC variability in the estuaries connected with BB during the dry season. Interestingly, the influence of anaerobic metabolism on DIC is observed in the oxygenated mangrove dominated estuaries, which we hypothesize is driven by porewater exchange in intertidal sediments. Dissolved organic carbon (DOC) generally behaves non-conservatively in the studied estuaries. The DOC-particulate organic carbon (POC) inter-conversion and DOC mineralization are evident in the BB during the dry season and AS estuaries, respectively. The wet season δ
13 CPOC shows dominance of freshwater algae, C3 plant material, as well as marine organic matter in POC. However, anthropogenic inputs are evident in some estuaries in eastern India during the dry season. POC respiration was identified in the AS; however, a link between POC and CH4 is identified throughout both the regions. pCO2 is controlled principally by respiration with freshwater discharge only playing a marginal important role in the BB. The AS estuaries act as a CO2 source to the atmosphere; however, the BB estuaries vary between a source and sink. POC together with methanotrophy and dam abundance appear to control CH4 concentrations, and all of the studied estuaries act as a CH4 source to the atmosphere. Additionally, anthropogenic inputs and groundwater exchange also show potential influences in some cases. The Indian estuaries contribute 2.62% and 1.09% to the global riverine DIC and DOC exports to the ocean, respectively. The total CO2 and CH4 fluxes from Indian estuaries are estimated as ~9718 Gg yr-1 and 3.27 Gg yr-1 , which contributes ~0.67% and ???0.12%, respectively, to global estimates of estuarine greenhouse gas emissions. While a qualitative idea on the major factors controlling the carbon biogeochemistry in India is presented through this work, a more thorough investigation including rate quantification of the above-mentioned mechanisms is essential for precise accounting of the C budget of Indian estuaries. [ABSTRACT FROM AUTHOR]- Published
- 2022
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29. Search for B+→K+νν¯ decays using an inclusive tagging method at Belle II
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F. Abudinén, I. Adachi, K. Adamczyk, P. Ahlburg, H. Aihara, N. Akopov, A. Aloisio, N. Anh Ky, D. M. Asner, H. Atmacan, T. Aushev, V. Aushev, A. Baur, V. Babu, S. Baehr, P. Bambade, Sw. Banerjee, S. Bansal, J. Baudot, J. Becker, P. K. Behera, J. V. Bennett, E. Bernieri, F. U. Bernlochner, M. Bertemes, E. Bertholet, M. Bessner, S. Bettarini, F. Bianchi, T. Bilka, D. Biswas, A. Bozek, M. Bračko, P.
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- 2021
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30. Controls on Organic Carbon Burial in the Eastern China Marginal Seas: A Regional Synthesis
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Zhao, B., primary, Yao, P., additional, Bianchi, T. S., additional, and Yu, Z. G., additional
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- 2021
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31. The tumor suppressor p16Ink4a regulates T lymphocyte survival
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Bianchi, T, Rufer, N, MacDonald, H R, and Migliaccio, M
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- 2006
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32. Sedimentary carbon dynamics of the Atchafalaya and Mississippi River Delta system and associated margin
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Bianchi, T. S., primary, Goñi, M., additional, Allison, M. A., additional, Chen, N., additional, and McKee, B. A., additional
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- 2013
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33. Test of a MAPS realized in standard non-epitaxial CMOS [formula omitted] technology
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Servoli, L., Bilei, G.M., Passeri, D., Placidi, P., Biagetti, D., Bianchi, T., Ciampolini, P., Marras, A., and Delfanti, A.
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- 2007
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34. Use of electrical neuromuscular stimulation to preserve the morphology of abdominal and chest muscles of critical patients: randomized clinical trial
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Santos, LJ, Dall' Acqua, AM, Sachetti, A, Lemos, FA, Bianchi, T, Naue, WS, Sbruzzi, G, Dias, AS, Vieira, SR, and MoVe-ICU Group
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- 2015
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35. Polarization diversity for multiband UWB systems
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Argenti, F., Bianchi, T., Mucchi, L., and Ronga, L.S.
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- 2006
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36. Neoplastic patients’ knowledge about intestinal parasitoses in southern Brazil
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Jeske, S., primary, Bianchi, T. F., additional, Leon, Í. F., additional, and Villela, M. M., additional
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- 2020
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37. Carbon Cycling in the World's Deepest Blue Hole
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Yao, P., primary, Wang, X. C., additional, Bianchi, T. S., additional, Yang, Z. S., additional, Fu, L., additional, Zhang, X. H., additional, Chen, L., additional, Zhao, B., additional, Morrison, E. S., additional, Shields, M. R., additional, Liu, Y. N., additional, Bi, N. S., additional, Qi, Y. Z., additional, Zhou, S., additional, Liu, J. W., additional, Zhang, H. H., additional, Zhu, C. J., additional, and Yu, Z. G., additional
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- 2020
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38. Tidal Wetland Gross Primary Production Across the Continental United States, 2000–2019
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Feagin, R. A., primary, Forbrich, I., additional, Huff, T. P., additional, Barr, J. G., additional, Ruiz‐Plancarte, J., additional, Fuentes, J. D., additional, Najjar, R. G., additional, Vargas, R., additional, Vázquez‐Lule, A., additional, Windham‐Myers, L., additional, Kroeger, K. D., additional, Ward, E. J., additional, Moore, G. W., additional, Leclerc, M., additional, Krauss, K. W., additional, Stagg, C. L., additional, Alber, M., additional, Knox, S. H., additional, Schäfer, K. V. R., additional, Bianchi, T. S., additional, Hutchings, J. A., additional, Nahrawi, H., additional, Noormets, A., additional, Mitra, B., additional, Jaimes, A., additional, Hinson, A. L., additional, Bergamaschi, B., additional, King, J. S., additional, and Miao, G., additional
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- 2020
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39. EO-ALERT: A Novel Flight Segment Architecture for EO Satellites Providing Very Low Latency Data Products
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Kerr, M., Cornara, S., Latorre, A., Tonetti, S., Fiengo, A., Gomez de Aguero, S., Bravo, J. I., Velotto, D., Breit, H., Balss, U., Koudelka, O., Teschl, F., Magli, E., Bianchi, T., Freddi, R., Benetti, M., Fabrizi, R., Fraile, S., and Marcos, C.
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- 2019
40. The role of the intensive care unit in real-time surveillance of emerging pandemics: the Italian GiViTI experience
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Bertolini, G, Nattino, G, Langer, M, Tavola, M, Crespi, D, Mondini, M, Rossi, C, Previtali, C, Marshall, J, Poole, D, Abascià, A, Acquarolo, A, Adorni, A, Agnelli, V, Agostini, F, Alampi, D, Alberti, A, Alborghetti, A, Alleva, S, Ambrosoni, S, Antonini, B, Arditi, E, Avalli, L, Babini, M, Bagalini, G, Balata, A, Balicco, B, Barbagallo, M, Bartoli, T, Bassi, G, Becarelli, S, Beck, E, Bellin, M, Bellonzi, A, Bellorini, M, Benanti, C, Bensi, M, Bernasconi, Mo, Berruto, F, Bertolini, R, Besozzi, A, Biamino, C, Bianchi, T, Bianchin, A, Boccalatte, D, Bocchi, A, Bonaccorso, G, Bonazzi, M, Balsamo, C, Bonicalzi, V, Boniotti, C, Bonizzoli, M, Bottazzi, A, Breschi, C, Brizio, E, Brunetti, B, Brunori, E, Bubbico, G, Buscaglia, G, Calicchio, G, Calligaro, P, Calva, S, Candido, M, Capitanio, G, Caroleo, S, Casagli, S, Casalini, P, Castiglione, G, Cerana, M, Chiani, C, Chierego, G, Ciani, A, Ciceri, R, Cigada, Mg, Cima, M, Cingolani, E, Cinque, E, Coletta, Rp, Colombo, L, Colombo, R, Converso, M, Corrado, A, Cortis, G, Costagli, V, Crema, L, Crestan, E, Da, D, Cero, Pd, Ferro, Md, De Blasi RA, De Blasio, E, De Cristofaro MG, De Luca, A, Di Pasquale, D, Doroni, L, Fabi, Mc, Facondini, F, Fagoni, Nazzareno, Falzetti, G, Faraldi, L, Fiore, G, Fiume, C, Galeotti, E, Galleschi, N, Gallo, M, Gamberini, E, Garelli, A, Giacomello, S, Gianni, M, Giudici, R, Giuntini, R, Gnesin, P, Gorietti, A, Grassitelli, S, Greco, M, Irpino, A, Guadagna, A, Guadagnucci, A, Guagliardi, C, Laici, C, Lain, G, Lanza, G, Lefons, U, Leggieri, C, Lembo, R, Librenti, M, Liverani, C, Longobardo, A, Madeira, Sm, Madonna, R, Magatti, Mf, Mamprin, F, Mannolini, G, Marafon, S, Marchesi, G, Marifoglou, D, Martinelli, P, Martinelli, S, Escobar, Rm, Mastroianni, A, Mastropierro, R, Mediani, Ts, Messina, M, Milan, B, Molesi, A, Alberto, Cm, Mongelli, P, Morigi, A, Mosti, G, Muttini, S, Nardini, M, Nascimben, E, Natalini, G, Negri, G, Negro, G, Neri, M, Netto, R, Nonini, S, Odetto, L, Olivieri, C, Candida, Mo, Osti, D, Palmer, M, Parnigotto, A, Parrini, V, Pasculli, M, Pasetti, G, Passafiume, M, Pastorini, S, Patrignani, L, Pedeferri, M, Pegoraro, M, Pelati, E, Pelosi, G, Pera, L, Perino, P, Pero, A, Perzolla, D, Peta, M, Pinna, C, Pizzali, M, Postiglione, M, Potalivo, A, Raffaeli, M, Randellini, R, Rech, A, Renda, B, Ricciardi, G, Rizzi, S, Romagnoli, S, Rossi, G, Rossi, M, Rutta, C, Sagliaschi, U, Salcuni, R, Salvi, G, Scalera, M, Scarrone, S, Schiavuzzi, M, Aurelio, Ps, Selvaggi, P, Sicignano, A, Sorbara, C, Spagarino, E, Sparicio, D, Spinazzola, Ar, Sucre, Mj, Terzitta, M, Tetamo, R, Tibaldi, G, Todesco, L, Tomaselli, P, Torta, M, Turriziani, I, Ughi, L, Vaccari, C, Vaj, M, Vanzino, R, Vardanega, A, Vecchiarelli, P, Vedovati, S, Zanni, V, Zappa, S, Zardin, M, Zaro, G, Zuccaro, F, Barattini, M, Chieregato, A, Fumagalli, R, Livigni, S, Mengoli, F, Nardi, G, Palma, D, Portolani, L, Radrizzani, D, Terzitta, M., Bertolini, G, Nattino, G, Langer, M, Tavola, M, Crespi, D, Mondini, M, Rossi, C, Previtali, C, Marshall, J, Poole, D, Abascia, A, Acquarolo, A, Adorni, A, Agnelli, V, Agostini, F, Alampi, D, Alberti, A, Alborghetti, A, Alleva, S, Ambrosoni, S, Antonini, B, Arditi, E, Avalli, L, Babini, M, Bagalini, G, Balata, A, Balicco, B, Barbagallo, M, Bartoli, T, Bassi, G, Becarelli, S, Beck, E, Bellin, M, Bellonzi, A, Bellorini, M, Benanti, C, Bensi, M, Bernasconi, M, Berruto, F, Besozzi, A, Biamino, C, Bianchi, T, Bianchin, A, Boccalatte, D, Bocchi, A, Bonaccorso, G, Bonazzi, M, Balsamo, C, Bonicalzi, V, Boniotti, C, Bonizzoli, M, Bottazzi, A, Breschi, C, Brizio, E, Brunetti, B, Brunori, E, Bubbico, G, Buscaglia, G, Calicchio, G, Calligaro, P, Calva, S, Candido, M, Capitanio, G, Caroleo, S, Casagli, S, Casalini, P, Castiglione, G, Cerana, M, Chiani, C, Chierego, G, Ciani, A, Ciceri, R, Cigada, M, Cima, M, Cingolani, E, Cinque, E, Coletta, R, Colombo, L, Colombo, R, Converso, M, Corrado, A, Cortis, G, Costagli, V, Crema, L, Crestan, E, Da, D, Cero, P, Ferro, M, De Blasi, R, De Blasio, E, De Cristofaro, M, De Luca, A, Di Pasquale, D, Doroni, L, Fabi, M, Facondini, F, Fagoni, N, Falzetti, G, Faraldi, L, Fiore, G, Fiume, C, Galeotti, E, Galleschi, N, Gallo, M, Gamberini, E, Garelli, A, Giacomello, S, Gianni, M, Giudici, R, Giuntini, R, Gnesin, P, Gorietti, A, Grassitelli, S, Greco, M, Irpino, A, Guadagna, A, Guadagnucci, A, Guagliardi, C, Laici, C, Lain, G, Lanza, G, Lefons, U, Leggieri, C, Lembo, R, Librenti, M, Liverani, C, Longobardo, A, Madeira, S, Madonna, R, Magatti, M, Mamprin, F, Mannolini, G, Marafon, S, Marchesi, G, Marifoglou, D, Martinelli, P, Martinelli, S, Escobar, R, Mastroianni, A, Mastropierro, R, Mediani, T, Messina, M, Milan, B, Molesi, A, Alberto, C, Mongelli, P, Morigi, A, Mosti, G, Muttini, S, Nardini, M, Nascimben, E, Natalini, G, Negri, G, Negro, G, Neri, M, Netto, R, Nonini, S, Odetto, L, Olivieri, C, Candida, M, Osti, D, Palmer, M, Parnigotto, A, Parrini, V, Pasculli, M, Pasetti, G, Passafiume, M, Pastorini, S, Patrignani, L, Pedeferri, M, Pegoraro, M, Pelati, E, Pelosi, G, Pera, L, Perino, P, Pero, A, Perzolla, D, Peta, M, Pinna, C, Pizzali, M, Postiglione, M, Potalivo, A, Raffaeli, M, Randellini, R, Rech, A, Renda, B, Ricciardi, G, Rizzi, S, Romagnoli, S, Rossi, G, Rossi, M, Rutta, C, Sagliaschi, U, Salcuni, R, Salvi, G, Scalera, M, Scarrone, S, Schiavuzzi, M, Aurelio, P, Selvaggi, P, Sicignano, A, Sorbara, C, Spagarino, E, Sparicio, D, Spinazzola, A, Sucre, M, Terzitta, M, Tetamo, R, Tibaldi, G, Todesco, L, Tomaselli, P, Torta, M, Turriziani, I, Ughi, L, Vaccari, C, Vaj, M, Vanzino, R, Vardanega, A, Vecchiarelli, P, Vedovati, S, Zanni, V, Zappa, S, Zardin, M, Zaro, G, Zuccaro, F, Barattini, M, Chieregato, A, Fumagalli, R, Livigni, S, Mengoli, F, Nardi, G, Palma, D, Portolani, L, and Radrizzani, D
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medicine.medical_specialty ,Epidemiology ,surveillance system ,law.invention ,03 medical and health sciences ,Influenza A Virus, H1N1 Subtype ,0302 clinical medicine ,Public health surveillance ,law ,Infectious disease epidemiology ,influenza ,pandemic ,Humans ,Influenza, Human ,Intensive Care Units ,Italy ,Public Health Surveillance ,Pandemics ,Pandemic ,medicine ,human ,030212 general & internal medicine ,medicine (all) ,Intensive care medicine ,business.industry ,Public health ,Outbreak ,030208 emergency & critical care medicine ,Monitoring system ,medicine.disease ,Intensive care unit ,infectious disease epidemiology ,humans ,influenza a virus ,h1n1 subtype ,intensive care units ,italy ,public health surveillance ,pandemics ,infectious diseases ,epidemiology ,Infectious Diseases ,Human mortality from H5N1 ,Medical emergency ,business - Abstract
SUMMARYThe prompt availability of reliable epidemiological information on emerging pandemics is crucial for public health policy-makers. Early in 2013, a possible new H1N1 epidemic notified by an intensive care unit (ICU) to GiViTI, the Italian ICU network, prompted the re-activation of the real-time monitoring system developed during the 2009–2010 pandemic. Based on data from 216 ICUs, we were able to detect and monitor an outbreak of severe H1N1 infection, and to compare the situation with previous years. The timely and correct assessment of the severity of an epidemic can be obtained by investigating ICU admissions, especially when historical comparisons can be made.
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- 2015
41. Early ambulation using a cycle ergometer on quadriceps muscle morphology in mechanically ventilated critically ILL patients in the intensive care unit: a randomized controlled trial
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Santos, LJ, Lemos, FA, Bianchi, T, Sachetti, A, Dall' Acqua, AM, Naue, WS, Dias, AS, Vieira, SR, and MoVe-ICU Study Group
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- 2015
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42. KNOWLEDGE-BASED, PATIENT MANAGEMENT AND DECISION SUPPORT SYSTEM FOR THE MANAGEMENT OF PAIN USING NEUROSTIMULATION THERAPY: 939
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Bianchi, T., Zanden, Vander J., Goessens, L., Hammoud, A., and Gehring, M.
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- 2006
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43. Human papillomavirus in melanoma: reply from authors
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LA PLACA, M., AMBRETTI, S., BONVICINI, F., VENTUROLI, S., BIANCHI, T., VAROTTI, C., ZERBINI, M., and MUSIANI, M.
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- 2006
44. Treatment of bile leaks from the cystohepatic ducts after laparoscopic cholecystectomy
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Jenkins, M. A., Ponsky, J. L., Lehman, G. A., Fanelli, R., and Bianchi, T.
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- 1994
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45. Presence of high-risk mucosal human papillomavirus genotypes in primary melanoma and in acquired dysplastic melanocytic naevi
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Placa, M. La, Ambretti, S., Bonvicini, F., Venturoli, S., Bianchi, T., Varotti, C., Zerbini, M., and Musiani, M.
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- 2005
46. Occupational risks in midwifery. From Bernardino Ramazzini to modern times
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Bianchi, T, Belingheri, M, Nespoli, A, De Vito, G, Riva, M, Riva, MA, Bianchi, T, Belingheri, M, Nespoli, A, De Vito, G, Riva, M, and Riva, MA
- Abstract
Occupational risks are often underestimated in midwifery. It is not commonly known that they were originally described by the Italian physician Bernardino Ramazzini (1633-1714) at the beginning of the eighteenth century. Our aim was to describe occupational risks in midwifery from Ramazzini to modern times. The original text by Bernardino Ramazzini was analyzed. A review of modern scientific papers on occupational risks in midwifery was conducted. Ramazzini identified two major occupational risks in midwifery: infections and awkward postures. Modern literature seems to agree with his considerations, focusing on infection, use of universal protection and personal protective equipment, and musculoskeletal problems. Modern studies also evidenced Post-Traumatic Stress Disorder that was probably postulated by Ramazzini himself. The poor number of papers in literature on midwives’ occupational risks evidences a lack of interest towards this issue. Prevention should therefore be emphasized in this field, so high-quality studies on occupational risks in midwifery are needed
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- 2019
47. Oncologic and fertility impact of surgical approach for borderline ovarian tumours treated with fertility sparing surgery
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DELLE MARCHETTE, M, Ceppi, L, Andreano, A, Bonazzi, C, Buda, A, Grassi, T, Giuliani, D, Sina, F, Lamanna, M, Bianchi, T, Lissoni, A, Landoni, F, Valsecchi, M, Fruscio, R, DELLE MARCHETTE, MARTINA, Ceppi, Lorenzo, Andreano, Anita, Bonazzi, Cristina Maria, Buda, Alessandro, GRASSI, TOMMASO, Giuliani, Daniela, Sina, Federica, Lamanna, Maria, Bianchi, Tommaso, Lissoni, Andrea Alberto, Landoni, Fabio, Valsecchi, Maria Grazia, Fruscio, Robert, DELLE MARCHETTE, M, Ceppi, L, Andreano, A, Bonazzi, C, Buda, A, Grassi, T, Giuliani, D, Sina, F, Lamanna, M, Bianchi, T, Lissoni, A, Landoni, F, Valsecchi, M, Fruscio, R, DELLE MARCHETTE, MARTINA, Ceppi, Lorenzo, Andreano, Anita, Bonazzi, Cristina Maria, Buda, Alessandro, GRASSI, TOMMASO, Giuliani, Daniela, Sina, Federica, Lamanna, Maria, Bianchi, Tommaso, Lissoni, Andrea Alberto, Landoni, Fabio, Valsecchi, Maria Grazia, and Fruscio, Robert
- Abstract
Background: Even if borderline ovarian tumours (BOTs) in young women treated with fertility-sparing treatment (FST) have an excellent outcome, the type of surgery might affect relapse and fertility. We investigated the effect of surgical approach (open surgery vs. laparoscopy) and type of surgery (salpingo-oophorectomy [SO] vs. cystectomy [Cy]) on oncologic and fertility outcomes in patients with BOT. Patients and methods: Patients with BOT treated at San Gerardo Hospital, Monza, with FST in 1978–2013 period were included. Cox models, stratified by decade of surgery, were used to investigate the association between time to first recurrence or conception and clinical factors. Results: Among 535 patients included, 271 underwent unilateral SO and 264 underwent Cy. Median follow-up was 13.5 years. Ten-year (10-yr) recurrence rate was 23% (95% confidence interval [CI]: 18–29%) for SO and 31% (95% CI: 24–38%) for Cy group (P = 0.10) in patients with unilateral tumour, whereas it was 62% (95% CI: 44–79%) and 72% (95% CI: 59–84%), respectively, (P = 0.35) in patients with bilateral tumour. Multivariable analysis showed no association between recurrence and surgical approach (P = 0.44), type of surgery (P = 0.06) and a negative association with advanced stage (hazard ratio [HR] = 3.18; 95% CI: 2.11–4.78; P < 0.001) and bilateral tumours (HR = 2.48; 95% CI: 1.78–3.47; P < 0.001). Among 252 patients (47.1%) with pregnancy desire, multivariable analysis showed no association between conception success and the type of surgery, surgical approach, histology and tumour laterality. Fertility after surgery was positively associated with prior pregnancy (HR = 1.68; 95% CI: 1.17–2.41; P = 0.005) and negatively associated with the number of surgical procedures (HR = 0.62; 95% CI: 0.53–0.73; P < 0.001). Conclusions: The type of surgical procedures did not influence recurrence rate or fertility. However, additional surgical procedures decreased the fertility potential. These data can supp
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- 2019
48. The role of the intensive care unit in real-time surveillance of emerging pandemics: The Italian GiViTI experience
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Bertolini, G, Nattino, G, Langer, M, Tavola, M, Crespi, D, Mondini, M, Rossi, C, Previtali, C, Marshall, J, Poole, D, Abascia, A, Acquarolo, A, Adorni, A, Agnelli, V, Agostini, F, Alampi, D, Alberti, A, Alborghetti, A, Alleva, S, Ambrosoni, S, Antonini, B, Arditi, E, Avalli, L, Babini, M, Bagalini, G, Balata, A, Balicco, B, Barbagallo, M, Bartoli, T, Bassi, G, Becarelli, S, Beck, E, Bellin, M, Bellonzi, A, Bellorini, M, Benanti, C, Bensi, M, Bernasconi, M, Berruto, F, Besozzi, A, Biamino, C, Bianchi, T, Bianchin, A, Boccalatte, D, Bocchi, A, Bonaccorso, G, Bonazzi, M, Balsamo, C, Bonicalzi, V, Boniotti, C, Bonizzoli, M, Bottazzi, A, Breschi, C, Brizio, E, Brunetti, B, Brunori, E, Bubbico, G, Buscaglia, G, Calicchio, G, Calligaro, P, Calva, S, Candido, M, Capitanio, G, Caroleo, S, Casagli, S, Casalini, P, Castiglione, G, Cerana, M, Chiani, C, Chierego, G, Ciani, A, Ciceri, R, Cigada, M, Cima, M, Cingolani, E, Cinque, E, Coletta, R, Colombo, L, Colombo, R, Converso, M, Corrado, A, Cortis, G, Costagli, V, Crema, L, Crestan, E, Da, D, Cero, P, Ferro, M, De Blasi, R, De Blasio, E, De Cristofaro, M, De Luca, A, Di Pasquale, D, Doroni, L, Fabi, M, Facondini, F, Fagoni, N, Falzetti, G, Faraldi, L, Fiore, G, Fiume, C, Galeotti, E, Galleschi, N, Gallo, M, Gamberini, E, Garelli, A, Giacomello, S, Gianni, M, Giudici, R, Giuntini, R, Gnesin, P, Gorietti, A, Grassitelli, S, Greco, M, Irpino, A, Guadagna, A, Guadagnucci, A, Guagliardi, C, Laici, C, Lain, G, Lanza, G, Lefons, U, Leggieri, C, Lembo, R, Librenti, M, Liverani, C, Longobardo, A, Madeira, S, Madonna, R, Magatti, M, Mamprin, F, Mannolini, G, Marafon, S, Marchesi, G, Marifoglou, D, Martinelli, P, Martinelli, S, Escobar, R, Mastroianni, A, Mastropierro, R, Mediani, T, Messina, M, Milan, B, Molesi, A, Alberto, C, Mongelli, P, Morigi, A, Mosti, G, Muttini, S, Nardini, M, Nascimben, E, Natalini, G, Negri, G, Negro, G, Neri, M, Netto, R, Nonini, S, Odetto, L, Olivieri, C, Candida, M, Osti, D, Palmer, M, Parnigotto, A, Parrini, V, Pasculli, M, Pasetti, G, Passafiume, M, Pastorini, S, Patrignani, L, Pedeferri, M, Pegoraro, M, Pelati, E, Pelosi, G, Pera, L, Perino, P, Pero, A, Perzolla, D, Peta, M, Pinna, C, Pizzali, M, Postiglione, M, Potalivo, A, Raffaeli, M, Randellini, R, Rech, A, Renda, B, Ricciardi, G, Rizzi, S, Romagnoli, S, Rossi, G, Rossi, M, Rutta, C, Sagliaschi, U, Salcuni, R, Salvi, G, Scalera, M, Scarrone, S, Schiavuzzi, M, Aurelio, P, Selvaggi, P, Sicignano, A, Sorbara, C, Spagarino, E, Sparicio, D, Spinazzola, A, Sucre, M, Terzitta, M, Tetamo, R, Tibaldi, G, Todesco, L, Tomaselli, P, Torta, M, Turriziani, I, Ughi, L, Vaccari, C, Vaj, M, Vanzino, R, Vardanega, A, Vecchiarelli, P, Vedovati, S, Zanni, V, Zappa, S, Zardin, M, Zaro, G, Zuccaro, F, Barattini, M, Chieregato, A, Fumagalli, R, Livigni, S, Mengoli, F, Nardi, G, Palma, D, Portolani, L, Radrizzani, D, Bertolini G., Nattino G., Langer M., Tavola M., Crespi D., Mondini M., Rossi C., Previtali C., Marshall J., Poole D., Abascia A., Acquarolo A., Adorni A., Agnelli V., Agostini F., Alampi D., Alberti A., Alborghetti A., Alleva S., Ambrosoni S., Antonini B., Arditi E., Avalli L., Babini M., Bagalini G., Balata A., Balicco B., Barbagallo M., Bartoli T., Bassi G., Becarelli S., Beck E., Bellin M., Bellonzi A., Bellorini M., Benanti C., Bensi M., Bernasconi M. O., Berruto F., Besozzi A., Biamino C., Bianchi T., Bianchin A., Boccalatte D., Bocchi A., Bonaccorso G., Bonazzi M., Balsamo C., Bonicalzi V., Boniotti C., Bonizzoli M., Bottazzi A., Breschi C., Brizio E., Brunetti B., Brunori E., Bubbico G., Buscaglia G., Calicchio G., Calligaro P., Calva S., Candido M., Capitanio G., Caroleo S., Casagli S., Casalini P., Castiglione G., Cerana M., Chiani C., Chierego G., Ciani A., Ciceri R., Cigada M. G., Cima M., Cingolani E., Cinque E., Coletta R. P., Colombo L., Colombo R., Converso M., Corrado A., Cortis G., Costagli V., Crema L., Crestan E., Da D., Cero P. D., Ferro M. D., De Blasi R. A., De Blasio E., De Cristofaro M. G., De Luca A., Di Pasquale D., Doroni L., Fabi M. C., Facondini F., Fagoni N., Falzetti G., Faraldi L., Fiore G., Fiume C., Galeotti E., Galleschi N., Gallo M., Gamberini E., Garelli A., Giacomello S., Gianni M., Giudici R., Giuntini R., Gnesin P., Gorietti A., Grassitelli S., Greco M., Irpino A., Guadagna A., Guadagnucci A., Guagliardi C., Laici C., Lain G., Lanza G., Lefons U., Leggieri C., Lembo R., Librenti M., Liverani C., Longobardo A., Madeira S. M., Madonna R., Magatti M. F., Mamprin F., Mannolini G., Marafon S., Marchesi G., Marifoglou D., Martinelli P., Martinelli S., Escobar R. M., Mastroianni A., Mastropierro R., Mediani T. S., Messina M., Milan B., Molesi A., Alberto C. M., Mongelli P., Morigi A., Mosti G., Muttini S., Nardini M., Nascimben E., Natalini G., Negri G., Negro G., Neri M., Netto R., Nonini S., Odetto L., Olivieri C., Candida M. O., Osti D., Palmer M., Parnigotto A., Parrini V., Pasculli M., Pasetti G., Passafiume M., Pastorini S., Patrignani L., Pedeferri M., Pegoraro M., Pelati E., Pelosi G., Pera L., Perino P., Pero A., Perzolla D., Peta M., Pinna C., Pizzali M., Postiglione M., Potalivo A., Raffaeli M., Randellini R., Rech A., Renda B., Ricciardi G., Rizzi S., Romagnoli S., Rossi G., Rossi M., Rutta C., Sagliaschi U., Salcuni R., Salvi G., Scalera M., Scarrone S., Schiavuzzi M., Aurelio P. S., Selvaggi P., Sicignano A., Sorbara C., Spagarino E., Sparicio D., Spinazzola A. R., Sucre M. J., Terzitta M., Tetamo R., Tibaldi G., Todesco L., Tomaselli P., Torta M., Turriziani I., Ughi L., Vaccari C., Vaj M., Vanzino R., Vardanega A., Vecchiarelli P., Vedovati S., Zanni V., Zappa S., Zardin M., Zaro G., Zuccaro F., Barattini M., Chieregato A., Fumagalli R., Livigni S., Mengoli F., Nardi G., Palma D., Portolani L., Radrizzani D., Bertolini, G, Nattino, G, Langer, M, Tavola, M, Crespi, D, Mondini, M, Rossi, C, Previtali, C, Marshall, J, Poole, D, Abascia, A, Acquarolo, A, Adorni, A, Agnelli, V, Agostini, F, Alampi, D, Alberti, A, Alborghetti, A, Alleva, S, Ambrosoni, S, Antonini, B, Arditi, E, Avalli, L, Babini, M, Bagalini, G, Balata, A, Balicco, B, Barbagallo, M, Bartoli, T, Bassi, G, Becarelli, S, Beck, E, Bellin, M, Bellonzi, A, Bellorini, M, Benanti, C, Bensi, M, Bernasconi, M, Berruto, F, Besozzi, A, Biamino, C, Bianchi, T, Bianchin, A, Boccalatte, D, Bocchi, A, Bonaccorso, G, Bonazzi, M, Balsamo, C, Bonicalzi, V, Boniotti, C, Bonizzoli, M, Bottazzi, A, Breschi, C, Brizio, E, Brunetti, B, Brunori, E, Bubbico, G, Buscaglia, G, Calicchio, G, Calligaro, P, Calva, S, Candido, M, Capitanio, G, Caroleo, S, Casagli, S, Casalini, P, Castiglione, G, Cerana, M, Chiani, C, Chierego, G, Ciani, A, Ciceri, R, Cigada, M, Cima, M, Cingolani, E, Cinque, E, Coletta, R, Colombo, L, Colombo, R, Converso, M, Corrado, A, Cortis, G, Costagli, V, Crema, L, Crestan, E, Da, D, Cero, P, Ferro, M, De Blasi, R, De Blasio, E, De Cristofaro, M, De Luca, A, Di Pasquale, D, Doroni, L, Fabi, M, Facondini, F, Fagoni, N, Falzetti, G, Faraldi, L, Fiore, G, Fiume, C, Galeotti, E, Galleschi, N, Gallo, M, Gamberini, E, Garelli, A, Giacomello, S, Gianni, M, Giudici, R, Giuntini, R, Gnesin, P, Gorietti, A, Grassitelli, S, Greco, M, Irpino, A, Guadagna, A, Guadagnucci, A, Guagliardi, C, Laici, C, Lain, G, Lanza, G, Lefons, U, Leggieri, C, Lembo, R, Librenti, M, Liverani, C, Longobardo, A, Madeira, S, Madonna, R, Magatti, M, Mamprin, F, Mannolini, G, Marafon, S, Marchesi, G, Marifoglou, D, Martinelli, P, Martinelli, S, Escobar, R, Mastroianni, A, Mastropierro, R, Mediani, T, Messina, M, Milan, B, Molesi, A, Alberto, C, Mongelli, P, Morigi, A, Mosti, G, Muttini, S, Nardini, M, Nascimben, E, Natalini, G, Negri, G, Negro, G, Neri, M, Netto, R, Nonini, S, Odetto, L, Olivieri, C, Candida, M, Osti, D, Palmer, M, Parnigotto, A, Parrini, V, Pasculli, M, Pasetti, G, Passafiume, M, Pastorini, S, Patrignani, L, Pedeferri, M, Pegoraro, M, Pelati, E, Pelosi, G, Pera, L, Perino, P, Pero, A, Perzolla, D, Peta, M, Pinna, C, Pizzali, M, Postiglione, M, Potalivo, A, Raffaeli, M, Randellini, R, Rech, A, Renda, B, Ricciardi, G, Rizzi, S, Romagnoli, S, Rossi, G, Rossi, M, Rutta, C, Sagliaschi, U, Salcuni, R, Salvi, G, Scalera, M, Scarrone, S, Schiavuzzi, M, Aurelio, P, Selvaggi, P, Sicignano, A, Sorbara, C, Spagarino, E, Sparicio, D, Spinazzola, A, Sucre, M, Terzitta, M, Tetamo, R, Tibaldi, G, Todesco, L, Tomaselli, P, Torta, M, Turriziani, I, Ughi, L, Vaccari, C, Vaj, M, Vanzino, R, Vardanega, A, Vecchiarelli, P, Vedovati, S, Zanni, V, Zappa, S, Zardin, M, Zaro, G, Zuccaro, F, Barattini, M, Chieregato, A, Fumagalli, R, Livigni, S, Mengoli, F, Nardi, G, Palma, D, Portolani, L, Radrizzani, D, Bertolini G., Nattino G., Langer M., Tavola M., Crespi D., Mondini M., Rossi C., Previtali C., Marshall J., Poole D., Abascia A., Acquarolo A., Adorni A., Agnelli V., Agostini F., Alampi D., Alberti A., Alborghetti A., Alleva S., Ambrosoni S., Antonini B., Arditi E., Avalli L., Babini M., Bagalini G., Balata A., Balicco B., Barbagallo M., Bartoli T., Bassi G., Becarelli S., Beck E., Bellin M., Bellonzi A., Bellorini M., Benanti C., Bensi M., Bernasconi M. O., Berruto F., Besozzi A., Biamino C., Bianchi T., Bianchin A., Boccalatte D., Bocchi A., Bonaccorso G., Bonazzi M., Balsamo C., Bonicalzi V., Boniotti C., Bonizzoli M., Bottazzi A., Breschi C., Brizio E., Brunetti B., Brunori E., Bubbico G., Buscaglia G., Calicchio G., Calligaro P., Calva S., Candido M., Capitanio G., Caroleo S., Casagli S., Casalini P., Castiglione G., Cerana M., Chiani C., Chierego G., Ciani A., Ciceri R., Cigada M. G., Cima M., Cingolani E., Cinque E., Coletta R. P., Colombo L., Colombo R., Converso M., Corrado A., Cortis G., Costagli V., Crema L., Crestan E., Da D., Cero P. D., Ferro M. D., De Blasi R. A., De Blasio E., De Cristofaro M. G., De Luca A., Di Pasquale D., Doroni L., Fabi M. C., Facondini F., Fagoni N., Falzetti G., Faraldi L., Fiore G., Fiume C., Galeotti E., Galleschi N., Gallo M., Gamberini E., Garelli A., Giacomello S., Gianni M., Giudici R., Giuntini R., Gnesin P., Gorietti A., Grassitelli S., Greco M., Irpino A., Guadagna A., Guadagnucci A., Guagliardi C., Laici C., Lain G., Lanza G., Lefons U., Leggieri C., Lembo R., Librenti M., Liverani C., Longobardo A., Madeira S. M., Madonna R., Magatti M. F., Mamprin F., Mannolini G., Marafon S., Marchesi G., Marifoglou D., Martinelli P., Martinelli S., Escobar R. M., Mastroianni A., Mastropierro R., Mediani T. S., Messina M., Milan B., Molesi A., Alberto C. M., Mongelli P., Morigi A., Mosti G., Muttini S., Nardini M., Nascimben E., Natalini G., Negri G., Negro G., Neri M., Netto R., Nonini S., Odetto L., Olivieri C., Candida M. O., Osti D., Palmer M., Parnigotto A., Parrini V., Pasculli M., Pasetti G., Passafiume M., Pastorini S., Patrignani L., Pedeferri M., Pegoraro M., Pelati E., Pelosi G., Pera L., Perino P., Pero A., Perzolla D., Peta M., Pinna C., Pizzali M., Postiglione M., Potalivo A., Raffaeli M., Randellini R., Rech A., Renda B., Ricciardi G., Rizzi S., Romagnoli S., Rossi G., Rossi M., Rutta C., Sagliaschi U., Salcuni R., Salvi G., Scalera M., Scarrone S., Schiavuzzi M., Aurelio P. S., Selvaggi P., Sicignano A., Sorbara C., Spagarino E., Sparicio D., Spinazzola A. R., Sucre M. J., Terzitta M., Tetamo R., Tibaldi G., Todesco L., Tomaselli P., Torta M., Turriziani I., Ughi L., Vaccari C., Vaj M., Vanzino R., Vardanega A., Vecchiarelli P., Vedovati S., Zanni V., Zappa S., Zardin M., Zaro G., Zuccaro F., Barattini M., Chieregato A., Fumagalli R., Livigni S., Mengoli F., Nardi G., Palma D., Portolani L., and Radrizzani D.
- Abstract
The prompt availability of reliable epidemiological information on emerging pandemics is crucial for public health policy-makers. Early in 2013, a possible new H1N1 epidemic notified by an intensive care unit (ICU) to GiViTI, the Italian ICU network, prompted the re-activation of the real-time monitoring system developed during the 2009-2010 pandemic. Based on data from 216 ICUs, we were able to detect and monitor an outbreak of severe H1N1 infection, and to compare the situation with previous years. The timely and correct assessment of the severity of an epidemic can be obtained by investigating ICU admissions, especially when historical comparisons can be made.
- Published
- 2016
49. EO-ALERT: NEXT GENERATION SATELLITE PROCESSING CHAIN FOR RAPID CIVIL ALERTS
- Author
-
Kerr, M., Cornara, S., Latorre, A., Tonetti, S., Fiengo, A., Guardabrazo, T., Bravo, J. I., Velotto, D., Eineder, M., Jacobsen, S., Breit, H., Koudelka, O., Teschl, F., Magli, E., Bianchi, T., Freddi, R., Benetti, M., Fabrizi, R., Fraile, S., and Marcos, C.
- Published
- 2018
50. EP1116 Integrated pathway analysis identifies a 3-gene signature predicting platinum response and outcome of high grade serous ovarian carcinoma patients
- Author
-
Bignotti, E, primary, Benvenuto, G, additional, Paracchini, L, additional, Zanotti, L, additional, Romani, C, additional, Tognon, G, additional, Calura, E, additional, Vicini, D, additional, Adorni, M, additional, Paderno, MC, additional, Bianchi, T, additional, Odicino, F, additional, Sartori, E, additional, Ravaggi, A, additional, D'Incalci, M, additional, Marchini, S, additional, Todeschini, P, additional, and Romualdi, C, additional
- Published
- 2019
- Full Text
- View/download PDF
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