Peer-Reviewed Publication
Pediatr Radiol2023;53(12):2492-2501.November 1, 2023Journal Article
Pediatric body composition based on automatic segmentation of computed tomography scans: a pilot study.
Atia Samim1,2, Suzanne Spijkers3, Pim Moeskops4,5, Annemieke S Littooij3,6, Pim A de Jong3, Wouter B Veldhuis3,4, Bob D de Vos4,7, Hanneke M van Santen6,8, Rutger A J Nievelstein3,6
1Department of Radiology and Nuclear Medicine, University Medical Center Utrecht and Wilhelmina Children's Hospital, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands. atiasamim@gmail.com.
2Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands. atiasamim@gmail.com.
3Department of Radiology and Nuclear Medicine, University Medical Center Utrecht and Wilhelmina Children's Hospital, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands.
4Quantib-U, Utrecht, The Netherlands.
5Image Sciences Institute, University Medical Center Utrecht and Utrecht University, Utrecht, The Netherlands.
6Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands.
7Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers - location AMC, Amsterdam, The Netherlands.
8Department of Pediatric Endocrinology, Wilhelmina Children's Hospital, University Medical Center Utrecht, Utrecht, The Netherlands.
Abstract
BACKGROUND: Body composition during childhood may predispose to negative health outcomes later in life. Automatic segmentation may assist in quantifying pediatric body composition in children.
OBJECTIVE: To evaluate automatic segmentation for body composition on pediatric computed tomography (CT) scans and to provide normative data on muscle and fat areas throughout childhood using automatic segm…
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