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Obstetrics and Gynecology

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Full-Text Articles in Medicine and Health Sciences

Contemporary Analysis Of Reexcision And Conversion To Mastectomy Rates And Associated Healthcare Costs For Women Undergoing Breast-Conserving Surgery, Youngran Kim, Cecilia Ganduglia-Cazaban, Nina Tamirisa, Anthony Lucci, Trudy Millard Krause Jun 2024

Contemporary Analysis Of Reexcision And Conversion To Mastectomy Rates And Associated Healthcare Costs For Women Undergoing Breast-Conserving Surgery, Youngran Kim, Cecilia Ganduglia-Cazaban, Nina Tamirisa, Anthony Lucci, Trudy Millard Krause

Journal Articles

PURPOSE: This study was designed to provide a comprehensive and up-to-date understanding of population-level reoperation rates and incremental healthcare costs associated with reoperation for patients who underwent breast-conserving surgery (BCS).

METHODS: This is a retrospective cohort study using Merative™ MarketScan

RESULTS: The commercial cohort included 17,129 women with a median age of 55 (interquartile range [IQR] 49-59) years, and the Medicare cohort included 6977 women with a median age of 73 (IQR 69-78) years. Overall reoperation rates were 21.1% (95% confidence interval [CI] 20.5-21.8%) for the commercial cohort and 14.9% (95% CI 14.1-15.7%) for the Medicare cohort. In both cohorts, …


Breast Multiparametric Mri For Prediction Of Neoadjuvant Chemotherapy Response In Breast Cancer: The Bmmr2 Challenge, Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyunghyun Sung, Anum S Kazerouni, Julie C Dicarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton Jan 2024

Breast Multiparametric Mri For Prediction Of Neoadjuvant Chemotherapy Response In Breast Cancer: The Bmmr2 Challenge, Wen Li, Savannah C Partridge, David C Newitt, Jon Steingrimsson, Helga S Marques, Patrick J Bolan, Michael Hirano, Benjamin Aaron Bearce, Jayashree Kalpathy-Cramer, Michael A Boss, Xinzhi Teng, Jiang Zhang, Jing Cai, Despina Kontos, Eric A Cohen, Walter C Mankowski, Michael Liu, Richard Ha, Oscar J Pellicer-Valero, Klaus Maier-Hein, Simona Rabinovici-Cohen, Tal Tlusty, Michal Ozery-Flato, Vishwa S Parekh, Michael A Jacobs, Ran Yan, Kyunghyun Sung, Anum S Kazerouni, Julie C Dicarlo, Thomas E Yankeelov, Thomas L Chenevert, Nola M Hylton

Journal Articles

Purpose To describe the design, conduct, and results of the Breast Multiparametric MRI for prediction of neoadjuvant chemotherapy Response (BMMR2) challenge. Materials and Methods The BMMR2 computational challenge opened on May 28, 2021, and closed on December 21, 2021. The goal of the challenge was to identify image-based markers derived from multiparametric breast MRI, including diffusion-weighted imaging (DWI) and dynamic contrast-enhanced (DCE) MRI, along with clinical data for predicting pathologic complete response (pCR) following neoadjuvant treatment. Data included 573 breast MRI studies from 191 women (mean age [±SD], 48.9 years ± 10.56) in the I-SPY 2/American College of Radiology Imaging …