Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment

Improved Deep Learning Segmentation of Pediatric Diffuse Midline Gliomas After Treatment.

John Zielke¹, Francesca Romana Mussa¹, Anna Zapaishchykova¹, Divyanshu Tak¹, Atlas Haddadi Avval¹, Reza Mojahed-Yazdi¹, Zezhong Ye¹, Vanessa Rameh¹, Rajath Ramegowda¹, Andrew G Schneider¹, Abdelrahman Hanafy¹, Cesar Alves¹, Sridhar Vajapeyam¹, Sabine Mueller¹, Daphne A Haas-Kogan¹, Hugo J W L Aerts¹, Andreas M Rauschecker¹, Marius George Linguraru¹, Tina Y Poussaint¹, Omar Arnaout¹, Benjamin H Kann²

¹From the Artificial Intelligence in Medicine (AIM) Program (J.K., F.R.M., A.Z., D.T., R. M.-Y., Z.Y., S.V., H.J.W.L.A., B.H.K.), Mass General Brigham, Radiation Oncology (J.K., F.R.M., A.Z., D.T., R.M.-Y., Z.Y., R.R., D.A.H.-K., H.J.W.L.A., T.Y.P., B.H.K.), Dana-Farber Cancer Institute and Brigham and Women's Hospital, Neurosurgery (O.A.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Radiology and Nuclear Medicine (J.K., F.R.M., A.Z., D.T., R.M.-Y., H.J.W.L.A.), CARIM & GROW, Maastricht University, Maastricht, the Netherlands; Center for Intelligent Imaging, Department of Radiology and Biomedical Imaging (A.H.A., A.M.R.), Neurology, Neurosurgery and Pediatrics (S.M.), University of California San Francisco, San Francisco, California, USA; Department of Radiology (V.R., R.R., C.A., S.V., T.Y.P.), Boston Children's Hospital, Department of Radiology (A.G.S., A.H.), Brigham and Women's Hospital, Boston, MA, United States and Sheikh Zayed Institute for Pediatric Surgical Innovation (M.G.L.), Children's National Hospital, Departments of Pediatrics and Radiology (M.G.L.), George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA.

²From the Artificial Intelligence in Medicine (AIM) Program (J.K., F.R.M., A.Z., D.T., R. M.-Y., Z.Y., S.V., H.J.W.L.A., B.H.K.), Mass General Brigham, Radiation Oncology (J.K., F.R.M., A.Z., D.T., R.M.-Y., Z.Y., R.R., D.A.H.-K., H.J.W.L.A., T.Y.P., B.H.K.), Dana-Farber Cancer Institute and Brigham and Women's Hospital, Neurosurgery (O.A.), Brigham and Women's Hospital, Harvard Medical School, Boston, MA, United States; Radiology and Nuclear Medicine (J.K., F.R.M., A.Z., D.T., R.M.-Y., H.J.W.L.A.), CARIM & GROW, Maastricht University, Maastricht, the Netherlands; Center for Intelligent Imaging, Department of Radiology and Biomedical Imaging (A.H.A., A.M.R.), Neurology, Neurosurgery and Pediatrics (S.M.), University of California San Francisco, San Francisco, California, USA; Department of Radiology (V.R., R.R., C.A., S.V., T.Y.P.), Boston Children's Hospital, Department of Radiology (A.G.S., A.H.), Brigham and Women's Hospital, Boston, MA, United States and Sheikh Zayed Institute for Pediatric Surgical Innovation (M.G.L.), Children's National Hospital, Departments of Pediatrics and Radiology (M.G.L.), George Washington University School of Medicine and Health Sciences, Washington, District of Columbia, USA. bkann@bwh.harvard.edu.

Abstract

PURPOSE: To develop and validate a pediatric diffuse midline glioma (DMG) auto-segmentation tool optimized for longitudinal treatment response assessment across the disease course. MATERIALS AND METHODS: In this multi-institutional retrospective study, we included patients aged 1-30 years with DMG from an institutional pediatric cancer center, BraTS-PEDs 2024, and PNOC007, a prospective trial of…

Abstract

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