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9 results on '"Cambi, Francesco"'

3. MRI in pregnant patients with suspected abdominal and pelvic cancer: a practical guide for radiologists

Author

Gui, Benedetta, Cambi, Francesco, Micco', Maura, Sbarra, Martina, Petta, Federica, Autorino, Rosa, De Vincenzo, Rosa Pasqualina, Valentini, Vincenzo, Scambia, Giovanni, Manfredi, Riccardo, Micco, Maura, De Vincenzo, Rosa Pasqualina (ORCID:0000-0001-7408-0435), Valentini, Vincenzo (ORCID:0000-0003-4637-6487), Scambia, Giovanni (ORCID:0000-0003-2758-1063), Manfredi, Riccardo (ORCID:0000-0002-4972-9500), Gui, Benedetta, Cambi, Francesco, Micco', Maura, Sbarra, Martina, Petta, Federica, Autorino, Rosa, De Vincenzo, Rosa Pasqualina, Valentini, Vincenzo, Scambia, Giovanni, Manfredi, Riccardo, Micco, Maura, De Vincenzo, Rosa Pasqualina (ORCID:0000-0001-7408-0435), Valentini, Vincenzo (ORCID:0000-0003-4637-6487), Scambia, Giovanni (ORCID:0000-0003-2758-1063), and Manfredi, Riccardo (ORCID:0000-0002-4972-9500)

Abstract

N/A

Published
2020

4. Prospective multimodal imaging assessment of locally advanced cervical cancer patients administered by chemoradiation followed by radical surgery-the 'PRICE' study 2: role of conventional and DW-MRI

Author

Gui, Benedetta, Micco', Maura, Valentini, A L, Cambi, Francesco, Pasciuto, Tina, Testa, Antonia Carla, Autorino, R, Zannoni, Gian Franco, Rufini, Vittoria, Gambacorta, Maria Antonietta, Giordano, Alessandro, Scambia, Giovanni, Manfredi, Riccardo, Gui, B, Miccò, M, Pasciuto, T (ORCID:0000-0003-2959-8571), Testa, A (ORCID:0000-0003-2217-8726), Zannoni, G F (ORCID:0000-0003-1809-129X), Rufini, V (ORCID:0000-0002-2052-8078), Gambacorta, M A (ORCID:0000-0001-5455-8737), Giordano, A (ORCID:0000-0002-6978-0880), Scambia, G (ORCID:0000-0003-2758-1063), Manfredi, R (ORCID:0000-0002-4972-9500), Gui, Benedetta, Micco', Maura, Valentini, A L, Cambi, Francesco, Pasciuto, Tina, Testa, Antonia Carla, Autorino, R, Zannoni, Gian Franco, Rufini, Vittoria, Gambacorta, Maria Antonietta, Giordano, Alessandro, Scambia, Giovanni, Manfredi, Riccardo, Gui, B, Miccò, M, Pasciuto, T (ORCID:0000-0003-2959-8571), Testa, A (ORCID:0000-0003-2217-8726), Zannoni, G F (ORCID:0000-0003-1809-129X), Rufini, V (ORCID:0000-0002-2052-8078), Gambacorta, M A (ORCID:0000-0001-5455-8737), Giordano, A (ORCID:0000-0002-6978-0880), Scambia, G (ORCID:0000-0003-2758-1063), and Manfredi, R (ORCID:0000-0002-4972-9500)

Abstract

N/A

Published
2018

5. Analyzing and comparing on-line news sources via (Two-Layer) incremental clustering

Author

Cambi, Francesco, Crescenzi, Pierluigi, Pagli, Linda, Bridge Consulting S.r.l., Equipe de recherche européenne en algorithmique et biologie formelle et expérimentale (ERABLE), Inria Grenoble - Rhône-Alpes, Institut National de Recherche en Informatique et en Automatique (Inria)-Institut National de Recherche en Informatique et en Automatique (Inria), Dipartimento di Sistemi e Informatica (DSI), Università degli Studi di Firenze = University of Florence (UniFI), Dipartimento di Informatica [Pisa] (DI), University of Pisa - Università di Pisa, and Università degli Studi di Firenze = University of Florence [Firenze] (UNIFI)

Subjects
000 Computer science, knowledge, general works, On-line news, Text mining, Computer Science, [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], Incremental clustering, Software
Abstract

International audience; In this paper, we analyse the contents of the web site of two Italian news agencies and of fourof the most popular Italian newspapers, in order to answer questions such as what are the mostrelevant news, what is the average life of news, and how much different are different sites. To thisaim, we have developed a web-based application which hourly collects the articles in the maincolumn of the six web sites, implements an incremental clustering algorithm for grouping thearticles into news, and finally allows the user to see the answer to the above questions. We havealso designed and implemented a two-layer modification of the incremental clustering algorithmand executed some preliminary experimental evaluation of this modification: it turns out thatthe two-layer clustering is extremely efficient in terms of time performances, and it has quitegood performances in terms of precision and recall.

Published
2016
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7. Shining light in a dark landscape: MRI evaluation of unusual localization of endometriosis

Author

Gui, Benedetta, Valentini, Anna Lia, Ninivaggi, Valeria, Micco', Maura, Zecchi, Viola, Grimaldi, Pier Paolo, Cambi, Francesco, Guido, Maurizio, Bonomo, Lorenzo, Valentini, Anna Lia (ORCID:0000-0001-6746-692X), Micco,Maura, Guido, Maurizio (ORCID:0000-0001-6554-0874), Bonomo, Lorenzo (ORCID:0000-0001-5101-9367), Gui, Benedetta, Valentini, Anna Lia, Ninivaggi, Valeria, Micco', Maura, Zecchi, Viola, Grimaldi, Pier Paolo, Cambi, Francesco, Guido, Maurizio, Bonomo, Lorenzo, Valentini, Anna Lia (ORCID:0000-0001-6746-692X), Micco,Maura, Guido, Maurizio (ORCID:0000-0001-6554-0874), and Bonomo, Lorenzo (ORCID:0000-0001-5101-9367)

Abstract

Endometriosis is a disease distinguished by the presence of endometrial tissue outside the uterine cavity with intralesional recurrent bleeding and resulting fibrosis. The most common locations for endometriosis are the ovaries, pelvic peritoneum, uterosacral ligaments, and torus uterinus. Typical symptoms are secondary dysmenorrhea and cyclic or chronic pelvic pain. Unusual sites of endometriosis may be associated with specific symptoms depending on the localization. Atypical pelvic endometriosis localizations can occur in the cervix, vagina, round ligaments, ureter, and nerves. Moreover, rare extrapelvic endometriosis implants can be localized in the upper abdomen, subphrenic fold, or in the abdominal wall. Magnetic resonance imaging (MRI) represents a problem-solving tool among other imaging modalities. MRI is an advantageous technique, because of its multiplanarity, high contrast resolution, and lack of ionizing radiation. Our purpose is to remind the radiologists the possibility of atypical pelvic and extrapelvic endometriosis localizations and to illustrate the specific MRI findings. Endometriotic tissue with hemorrhagic content can be distinguished from adherences and fibrosis on MRI imaging. Radiologists should keep in mind these atypical localizations in patients with suspected endometriosis, in order to achieve the diagnosis and to help the clinicians in planning a correct and complete treatment strategy.

Published
2017

8. Analyzing and Comparing On-Line News Sources via (Two-Layer) Incremental Clustering

Author

Francesco Cambi and Pierluigi Crescenzi and Linda Pagli, Cambi, Francesco, Crescenzi, Pierluigi, Pagli, Linda, Francesco Cambi and Pierluigi Crescenzi and Linda Pagli, Cambi, Francesco, Crescenzi, Pierluigi, and Pagli, Linda

Abstract

In this paper, we analyse the contents of the web site of two Italian press agencies and of four of the most popular Italian newspapers, in order to answer questions such as what are the most relevant news, what is the average life of news, and how much different are different sites. To this aim, we have developed a web-based application which hourly collects the articles in the main column of the six web sites, implements an incremental clustering algorithm for grouping the articles into news, and finally allows the user to see the answer to the above questions. We have also designed and implemented a two-layer modification of the incremental clustering algorithm and executed some preliminary experimental evaluation of this modification: it turns out that the two-layer clustering is extremely efficient in terms of time performances, and it has quite good performances in terms of precision and recall.

Published
2016
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9. MRI in pregnant patients with suspected abdominal and pelvic cancer: a practical guide for radiologists.

Author

Gui B, Cambi F, Micco M, Sbarra M, Petta F, Autorino R, De Vincenzo R, Valentini V, Scambia G, and Manfredi R

Subjects
Abdominal Neoplasms epidemiology, Abdominal Neoplasms pathology, Adult, Contrast Media, Female, Gestational Age, Humans, Incidence, Magnetic Resonance Imaging statistics & numerical data, Neoplasm Staging methods, Patient Positioning methods, Patient Preference psychology, Pelvic Neoplasms epidemiology, Pelvic Neoplasms pathology, Precision Medicine methods, Pregnancy, Radiologists statistics & numerical data, Safety, Watchful Waiting standards, Abdomen pathology, Abdominal Neoplasms diagnostic imaging, Magnetic Resonance Imaging methods, Pelvic Neoplasms diagnostic imaging, Pelvis pathology, Radiologists education
Abstract

The incidence of abdominal and pelvic cancer in pregnancy is low, but it is rising as the population of pregnant women gets older. Depending on disease stage, gestational age and patient's preference, active surveillance as well as surgery and chemotherapy are feasible options during pregnancy. Correct diagnosis and staging of the tumor is crucial for choosing the best therapeutic approach. Moreover, a reproducible modality to assess the treatment response is requested. Magnetic resonance imaging (MRI) is commonly used with good results for the local staging and treatment response evaluation of most abdominal and pelvic cancers in nonpregnant patients, and it is considered relatively safe during pregnancy. The purpose of this article is to analyze the most relevant topics regarding the use of MRI in pregnant women with abdominal and pelvic cancer. We discuss MRI safety during pregnancy, including the use of gadolinium-based contrast agents (GBCAs), how to prepare the patient for the exam and MRI technique. This will be followed by a brief review on the most common malignancies diagnosed during pregnancy and their MRI appearance.

Published
2020
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