CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum

James D. Dormer; Michael Villordon; Maysam Shahedi; Ka'Toria Leitch; Quyen N. Do; Yin Xi; Matthew A. Lewis; Ananth J. Madhuranthakam; Christina L. Herrera; Catherine Y. Spong; Diane M. Twickler; Baowei Fei

doi:10.1117/12.2611580

4 April 2022 CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum

James D. Dormer, Michael Villordon, Maysam Shahedi, Ka'Toria Leitch, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Christina L. Herrera, Catherine Y. Spong, Diane M. Twickler, Baowei Fei

Author Affiliations +

Proceedings Volume 12032, Medical Imaging 2022: Image Processing; 120320N (2022) https://doi.org/10.1117/12.2611580
Event: SPIE Medical Imaging, 2022, San Diego, California, United States

Abstract

In severe cases, placenta accreta spectrum (PAS) requires emergency hysterectomy, endangering the life of both mother and fetus. Early prediction may reduce complications and aid in management decisions in these high-risk pregnancies. In this work, we developed a novel convolutional network architecture to combine MRI volumes, radiomic features, and custom feature maps to predict PAS severe enough to result in hysterectomy after fetal delivery in pregnant women. We trained, optimized, and evaluated the networks using data from 241 patients, in groups of 157, 24, and 60 for training, validation, and testing, respectively. We found the network using all three paths produced the best performance, with an AUC of 87.8, accuracy 83.3%,sensitivity of 85.0, and specificity of 82.5. This deep learning algorithm, deployed in clinical settings, may identify women at risk before birth, resulting in improved patient outcomes.

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James D. Dormer, Michael Villordon, Maysam Shahedi, Ka'Toria Leitch, Quyen N. Do, Yin Xi, Matthew A. Lewis, Ananth J. Madhuranthakam, Christina L. Herrera, Catherine Y. Spong, Diane M. Twickler, and Baowei Fei "CascadeNet for hysterectomy prediction in pregnant women due to placenta accreta spectrum", Proc. SPIE 12032, Medical Imaging 2022: Image Processing, 120320N (4 April 2022); https://doi.org/10.1117/12.2611580

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