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Your search keyword '"Petkovska, Iva"' showing total 279 results
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279 results on '"Petkovska, Iva"'

1. Imaging in pelvic exenteration—a multidisciplinary practice guide from the ESGAR-SAR-ESUR-PelvEx collaborative group

Author

Nougaret, Stephanie, Lambregts, Doenja M. J., Beets, Geerard L., Beets-Tan, Regina G. H., Blomqvist, Lennart, Burling, David, Denost, Quentin, Gambacorta, Maria A., Gui, Benedetta, Klopp, Ann, Lakhman, Yulia, Maturen, Kate E., Manfredi, Riccardo, Petkovska, Iva, Russo, Luca, Shinagare, Atul B., Stephenson, James A., Tolan, Damian, Venkatesan, Aradhana M., Quyn, Aaron J., and Forstner, Rosemarie

Published
2024
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2. A primer on rectal MRI in patients on watch-and-wait treatment for rectal cancer.

Author

Gollub, Marc, Costello, James, Ernst, Randy, Lee, Sonia, Maheshwari, Ekta, Petkovska, Iva, Wasnik, Ashish, and Horvat, Natally

Subjects
Magnetic resonance imaging, Neoadjuvant therapy, Rectal cancer, Watch and Wait, Humans, Rectal Neoplasms, Rectum, Neoadjuvant Therapy, Endoscopy, Gastrointestinal, Magnetic Resonance Imaging, Neoplasm Recurrence, Local, Treatment Outcome
Abstract

Total neoadjuvant treatment (TNT) for rectal cancer is becoming an accepted treatment paradigm and is changing the landscape of this disease, wherein up to 50% of patients who undergo TNT are able to avoid surgery. This places new demands on the radiologist in terms of interpreting degrees of response to treatment. This primer summarizes the Watch-and-Wait approach and the role of imaging, with illustrative atlas-like examples as an educational guide for radiologists. We present a brief literature summary of the evolution of rectal cancer treatment, with a focus on magnetic resonance imaging (MRI) assessment of response. We also discuss recommended guidelines and standards. We outline the common TNT approach entering mainstream practice. A heuristic and algorithmic approach to MRI interpretation is also offered. To illustrate management and common scenarios, we arranged the illustrative figures as follows: (I) Clinical complete response (cCR) achieved at the immediate post-TNT decision point scan time; (II) cCR achieved at some point during surveillance, later than the first post-TNT MRI; (III) near clinical complete response (nCR); (IV) incomplete clinical response (iCR); (V) discordant findings between MRI and endoscopy where MRI is falsely positive, even at follow-up; (VI) discordant cases where MRI seems to be falsely positive but is proven truly positive on follow-up endoscopy; (VII) cases where MRI is falsely negative; (VIII) regrowth of tumor in the primary tumor bed; (IX) regrowth outside the primary tumor bed; and (X) challenging scenarios, i.e., mucinous cases. This primer is offered to achieve its intended goal of educating radiologists on how to interpret MRI in patients with rectal cancer undergoing treatment using a TNT-type treatment paradigm and a Watch-and-Wait approach.

Published
2023

7. Meaningful words in rectal MRI synoptic reports: How “polypoid” may be prognostic

Author

Golia Pernicka, Jennifer S, Bates, David DB, Fuqua, James L, Knezevic, Andrea, Yoon, Joongchul, Nardo, Lorenzo, Petkovska, Iva, Paroder, Viktoriya, Nash, Garrett M, Markowitz, Arnold J, and Gollub, Marc J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Clinical Research, Digestive Diseases, Rare Diseases, Biomedical Imaging, Humans, Magnetic Resonance Imaging, Neoplasm Staging, Polyploidy, Prognosis, Rectal Neoplasms, Retrospective Studies, Rectal cancer, Rectal polyp, Rectal MRI, Polypoid rectal tumor, Partially circumferential rectal tumor, Circumferential rectal tumor, Clinical Sciences, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

PurposeThis study explored the clinicopathologic outcomes of rectal tumor morphological descriptors used in a synoptic rectal MRI reporting template and determined that prognostic differences were observed.MethodsThis retrospective study was conducted at a comprehensive cancer center. Fifty patients with rectal tumors for whom the synoptic descriptor "polypoid" was chosen by three experienced radiologists were compared with ninety comparator patients with "partially circumferential" and "circumferential" rectal tumors. Two radiologists re-evaluated all cases. The outcome measures were agreement among two re-interpreting radiologists, clinical T staging with MRI (mrT) and descriptive nodal features, and degrees of wall attachment of tumors (on MRI) compared with pathological (p) T and N stage when available.ResultsRe-evaluation by two radiologists showed moderate to excellent agreement in tumor morphology, presence of a pedicle, and degree of wall attachment (k = 0.41-0.76) and excellent agreement on lymph node presence and size (ICC = 0.83-0.91). Statistically significant lower mrT stage was noted for polypoid morphology, wherein 98% were mrT1/2, while only 7% and 2% of partially circumferential and circumferential tumors respectively were mrT1/2. Pathologic T and N stages among the three morphologies also differed significantly, with only 14% of polypoid cases higher than stage pT2 compared to 48% of partially circumferential cases and 60% of circumferential cases.ConclusionUsing a "polypoid" morphology in rectal cancer MRI synoptic reports revealed a seemingly distinct phenotype with lower clinical and pathologic T and N stages when compared with alternative available descriptors.Precis"Polypoid" morphology in rectal cancer confers a lower clinical and pathologic T and N stage and may be useful in determining whether to proceed with surgery versus neoadjuvant treatment.

Published
2021

10. MRI restaging of rectal cancer: The RAC (Response–Anal canal–CRM) analysis joint consensus guidelines of the GRERCAR and GRECCAR groups

Author

Nougaret, Stephanie, Rousset, Pascal, Lambregts, Doenja M.J., Maas, Monique, Gormly, Kirsten, Lucidarme, Oliver, Brunelle, Serge, Milot, Laurent, Arrivé, Lionel, Salut, Celine, Pilleul, Franck, Hordonneau, Constance, Baudin, Guillaume, Soyer, Philippe, Brun, Vanessa, Laurent, Valérie, Savoye-Collet, Celine, Petkovska, Iva, Gerard, Jean-Pierre, Cotte, Eddy, Rouanet, Philippe, Catalano, Onofrio, Denost, Quentin, Tan, Regina Beets, Frulio, Nora, and Hoeffel, Christine

Published
2023
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11. Update to the structured MRI report for primary staging of rectal cancer: Perspective from the SAR Disease Focused Panel on Rectal and Anal Cancer

Author

Kassam, Zahra, Lang, Rebecca, Arya, Supreeta, Bates, David D. B., Chang, Kevin J., Fraum, Tyler J., Friedman, Kenneth A., Golia Pernicka, Jennifer S., Gollub, Marc J., Harisinghani, Mukesh, Khatri, Gaurav, Korngold, Elena, Lall, Chandana, Lee, Sonia, Magnetta, Michael, Moreno, Courtney, Nougaret, Stephanie, Paroder, Viktoriya, Paspulati, Raj M., Petkovska, Iva, Pickhardt, Perry J., Shaish, Hiram, Sheedy, Shannon, Weiser, Martin R., Xuan, Lisa, and Kim, David H.

Published
2022
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12. Combined artificial intelligence and radiologist model for predicting rectal cancer treatment response from magnetic resonance imaging: an external validation study

Author

Horvat, Natally, Veeraraghavan, Harini, Nahas, Caio S. R., Bates, ‬David D. B., Ferreira, Felipe R., Zheng, Junting, Capanu, Marinela, Fuqua, III, James L., Fernandes, Maria Clara, Sosa, Ramon E., Jayaprakasam, Vetri Sudar, Cerri, Giovanni G., Nahas, Sergio C., and Petkovska, Iva

Published
2022
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14. Mucinous rectal cancer: concepts and imaging challenges

Author

Horvat, Natally, Hope, Thomas A, Pickhardt, Perry J, and Petkovska, Iva

Subjects
Biomedical and Clinical Sciences, Clinical Sciences, Oncology and Carcinogenesis, Cancer, Rare Diseases, Clinical Research, Biomedical Imaging, Digestive Diseases, Prevention, Adenocarcinoma, Mucinous, Chemoradiotherapy, Humans, Neoadjuvant Therapy, Neoplasm Staging, Rectal Neoplasms, Rectal neoplasms, Mucin, Magnetic resonance imaging, Computed tomography, Positron emission tomography, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

Rectal adenocarcinoma with mucinous components is an uncommon type of rectal cancer with two distinct histologic subtypes: mucinous adenocarcinoma and signet-ring cell carcinoma. Mucin can also be identified as pattern of response after neoadjuvant treatment. On imaging modalities, mucin typically demonstrates high signal intensity on T2-weighted images, low attenuation on computed tomography, and may be negative on 18-fluorodeoxyglucose positron emission tomography. After neoadjuvant CRT, cellular and acellular mucin share similar imaging features, and differentiating them is currently the main challenge faced by radiologists. Radiologists should be aware of pros, cons, and limitations of each imaging modality in the primary staging and restaging to avoid misinterpretation of the radiological findings.

Published
2019

15. Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation

Author

Golia Pernicka, Jennifer S, Gagniere, Johan, Chakraborty, Jayasree, Yamashita, Rikiya, Nardo, Lorenzo, Creasy, John M, Petkovska, Iva, Do, Richard RK, Bates, David DB, Paroder, Viktoriya, Gonen, Mithat, Weiser, Martin R, Simpson, Amber L, and Gollub, Marc J

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Colo-Rectal Cancer, Biomedical Imaging, Cancer, Digestive Diseases, Detection, screening and diagnosis, 4.2 Evaluation of markers and technologies, Good Health and Well Being, Adult, Aged, Aged, 80 and over, Colorectal Neoplasms, Contrast Media, Female, Humans, Male, Microsatellite Instability, Middle Aged, Radiographic Image Interpretation, Computer-Assisted, Retrospective Studies, Sensitivity and Specificity, Tomography, X-Ray Computed, Colon, Colonic neoplasms, Microsatellite repeats, Microsatellite instability, Immunotherapy, Clinical Sciences, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

PURPOSE:To predict microsatellite instability (MSI) status of colon cancer on preoperative CT imaging using radiomic analysis. METHODS:This retrospective study involved radiomic analysis of preoperative CT imaging of patients who underwent resection of stage II-III colon cancer from 2004 to 2012. A radiologist blinded to MSI status manually segmented the tumor region on CT images. 254 Intensity-based radiomic features were extracted from the tumor region. Three prediction models were developed with (1) only clinical features, (2) only radiomic features, and (3) "combined" clinical and radiomic features. Patients were randomly separated into training (n = 139) and test (n = 59) sets. The model was constructed from training data only; the test set was reserved for validation only. Model performance was evaluated using AUC, sensitivity, specificity, PPV, and NPV. RESULTS:Of the total 198 patients, 134 (68%) patients had microsatellite stable tumors and 64 (32%) patients had MSI tumors. The combined model performed slightly better than the other models, predicting MSI with an AUC of 0.80 for the training set and 0.79 for the test set (specificity = 96.8% and 92.5%, respectively), whereas the model with only clinical features achieved an AUC of 0.74 and the model with only radiomic features achieved an AUC of 0.76. The model with clinical features alone had the lowest specificity (70%) compared with the model with radiomic features alone (95%) and the combined model (92.5%). CONCLUSIONS:Preoperative prediction of MSI status via radiomic analysis of preoperative CT adds specificity to clinical assessment and could contribute to personalized treatment selection.

Published
2019

16. Rectal cancer lexicon: consensus statement from the society of abdominal radiology rectal & anal cancer disease-focused panel

Author

Hope, Thomas A, Gollub, Marc J, Arya, Supreeta, Bates, David DB, Ganeshan, Dhakshinamoorthy, Harisinghani, Mukesh, Jhaveri, Kartik S, Kassam, Zahra, Kim, David H, Korngold, Elena, Lalwani, Neeraj, Moreno, Courtney C, Nougaret, Stephanie, Paroder, Viktoriya, Paspulati, Raj M, Golia Pernicka, Jennifer S, Petkovska, Iva, Pickhardt, Perry J, Rauch, Gaiane M, Rosenthal, Michael H, Sheedy, Shannon P, and Horvat, Natally

Subjects
Biomedical and Clinical Sciences, Oncology and Carcinogenesis, Cancer, Rare Diseases, Digestive Diseases, Biomedical Imaging, Anal Canal, Anus Neoplasms, Consensus, Humans, Lymphatic Metastasis, Neoplasm Staging, Rectal Neoplasms, Rectum, Societies, Medical, Terminology as Topic, Rectal cancer, Lexicon, Staging, MRI, Society of Abdominal Radiology Rectal & Anal Cancer Disease-Focused Panel, Clinical Sciences, Nuclear Medicine & Medical Imaging, Clinical sciences
Abstract

Standardized terminology is critical to providing consistent reports to referring clinicians. This lexicon aims to provide a reference for terminology frequently used in rectal cancer and reflects the consensus of the Society of Abdominal Radiology Disease Focused Panel in Rectal cancer. This lexicon divided the terms into the following categories: primary tumor staging, nodal staging, treatment response, anal canal anatomy, general anatomy, and treatments.

Published
2019

18. Structured and shared MRI staging lexicon and report of rectal cancer: A consensus proposal by the French Radiology Group (GRERCAR) and Surgical Group (GRECCAR) for rectal cancer

Author

Nougaret, Stephanie, Rousset, Pascal, Gormly, Kirsten, Lucidarme, Oliver, Brunelle, Serge, Milot, Laurent, Salut, Cécile, Pilleul, Franck, Arrivé, Lionel, Hordonneau, Constance, Baudin, Guillaume, Soyer, Philippe, Brun, Vanessa, Laurent, Valérie, Savoye-Collet, Celine, Petkovska, Iva, Gerard, Jean Pierre, Rullier, Eric, Cotte, Eddy, Rouanet, Philippe, Beets-Tan, Regina G.H., Frulio, Nora, and Hoeffel, Christine

Published
2022
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20. A phase II study of fulvestrant and abemaciclib in hormone receptor positive advanced or recurrent endometrial cancer.

Author

Green, Angela, primary, Zhou, Qin, additional, Iasonos, Alexia, additional, Zammarrelli, William, additional, Weigelt, Britta, additional, Ellenson, Lora H, additional, Chhetri-Long, Rashmi, additional, Shah, Pooja, additional, Hom, Vania, additional, Erinjeri, Joseph P., additional, Petkovska, Iva, additional, Chandarlapaty, Sarat, additional, Cohen, Seth M., additional, Grisham, Rachel N., additional, Konner, Jason A., additional, Rubinstein, Maria M, additional, Tew, William P., additional, Troso-Sandoval, Tiffany A., additional, Aghajanian, Carol, additional, and Makker, Vicky, additional

Published
2024
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34. A rectal cancer organoid platform to study individual responses to chemoradiation

Author

Ganesh, Karuna, Wu, Chao, O’Rourke, Kevin P., Szeglin, Bryan C., Zheng, Youyun, Sauvé, Charles-Etienne Gabriel, Adileh, Mohammad, Wasserman, Isaac, Marco, Michael R., Kim, Amanda S., Shady, Maha, Sanchez-Vega, Francisco, Karthaus, Wouter R., Won, Helen H., Choi, Seo-Hyun, Pelossof, Raphael, Barlas, Afsar, Ntiamoah, Peter, Pappou, Emmanouil, Elghouayel, Arthur, Strong, James S., Chen, Chin-Tung, Harris, Jennifer W., Weiser, Martin R., Nash, Garrett M., Guillem, Jose G., Wei, Iris H., Kolesnick, Richard N., Veeraraghavan, Harini, Ortiz, Eduardo J., Petkovska, Iva, Cercek, Andrea, Manova-Todorova, Katia O., Saltz, Leonard B., Lavery, Jessica A., DeMatteo, Ronald P., Massagué, Joan, Paty, Philip B., Yaeger, Rona, Chen, Xi, Patil, Sujata, Clevers, Hans, Berger, Michael F., Lowe, Scott W., Shia, Jinru, Romesser, Paul B., Dow, Lukas E., Garcia-Aguilar, Julio, Sawyers, Charles L., and Smith, J. Joshua

Published
2019
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36. Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers

Author

Veeraraghavan, Harini, Friedman, Claire F., DeLair, Deborah F., Ninčević, Josip, Himoto, Yuki, Bruni, Silvio G., Cappello, Giovanni, Petkovska, Iva, Nougaret, Stephanie, Nikolovski, Ines, Zehir, Ahmet, Abu-Rustum, Nadeem R., Aghajanian, Carol, Zamarin, Dmitriy, Cadoo, Karen A., Diaz, Jr., Luis A., Leitao, Jr., Mario M., Makker, Vicky, Soslow, Robert A., Mueller, Jennifer J., Weigelt, Britta, and Lakhman, Yulia

Published
2020
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48. MRI radiomics features of mesorectal fat can predict response to neoadjuvant chemoradiation therapy and tumor recurrence in patients with locally advanced rectal cancer

Author

Jayaprakasam, Vetri Sudar, primary, Paroder, Viktoriya, additional, Gibbs, Peter, additional, Bajwa, Raazi, additional, Gangai, Natalie, additional, Sosa, Ramon E., additional, Petkovska, Iva, additional, Golia Pernicka, Jennifer S., additional, Fuqua, James Louis, additional, Bates, David D. B., additional, Weiser, Martin R., additional, Cercek, Andrea, additional, and Gollub, Marc J., additional

Published
2021
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50. Metastatic melanoma concurrent to the urinary bladder and endometrium: Case report.

Author

Fernandes, Maria Clara, Shoushtari, Alexander, Leitao Jr, Mario M, Chui, M. Herman, Al‐Ahmadie, Hikmat, and Petkovska, Iva

Abstract

Summary: We report a case of a 47‐year‐old woman with a history of acral lentiginous melanoma, left great toe subungual primary, metastatic to the lungs, brain, and spleen, presenting with lower urinary tract symptoms. She had also palpated and removed a dark mass from her vaginal canal. Magnetic resonance imaging (MRI) showed polypoidal lesions within the urinary bladder and the endometrium. The suspected differential diagnosis was endometrial and bladder melanoma metastases, based on her cancer history and MRI findings. The patient underwent cystoscopy with transurethral resection of the bladder tumor and endometrial biopsy, and pathology was consistent with metastatic melanoma. Bladder and endometrial metastatic lesions are exceedingly rare. Herein, we describe an unusual case of metastatic melanoma concurrent to the urinary bladder and endometrium. [ABSTRACT FROM AUTHOR]

Published
2022
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