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Peer-Reviewed Publication
NPJ Digit Med2025;8(1):312.May 27, 2025Journal Article

Multicentre evaluation of deep learning CT autosegmentation of the head and neck region for radiotherapy.

Eric Pei Ping Pang1,2, Hong Qi Tan3,4,5, Fuqiang Wang1,2, Jarkko Niemelä6, Gregory Bolard6, Susan Ramadan7, Timo Kiljunen7, Marta Capala8, Steven Petit8, Jan Seppälä9, Kristiina Vuolukka9, Ingrid Kiitam10, Danil Zolotuhhin10, Eduard Gershkevitsh10, Kaisa Lehtiö11, Juha Nikkinen11,12, Jani Keyriläinen13,14,15, Miia Mokka13, Melvin Lee Kiang Chua1,2,16
1Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, 158683, Singapore.
2Oncology Academic Clinical Programme, Duke-NUS Graduate Medical School, Singapore, 169857, Singapore.
3Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, 158683, Singapore. tan.hong.qi@nccs.com.sg.
4Oncology Academic Clinical Programme, Duke-NUS Graduate Medical School, Singapore, 169857, Singapore. tan.hong.qi@nccs.com.sg.
5Division of Physics and Applied Physics, School of Physical and Mathematical Science, Nanyang Technological University, Singapore, Singapore. tan.hong.qi@nccs.com.sg.
6MVision Ai, c/o Terkko Health hub, FI-00290, Helsinki, Finland.
7Docrates Cancer Center, 00180, Helsinki, Finland.
8Department of Radiotherapy, Erasmus MC Cancer Institute, University Medical Center Rotterdam, Rotterdam, Netherlands.
9Kuopio University Hospital, Center of Oncology, FI-70210, Kuopio, Finland.
10North Estonia Medical Centre, 13419, Tallinn, Estonia.
11Oulu University Hospital, Department of Oncology and Radiotherapy, 90220, Oulu, Finland.
12Research Unit of Health Sciences and Technology, Faculty of Medicine, University of Oulu, 90220, Oulu, Finland.
13Turku University Hospital, Department of Oncology and Radiotherapy, FI-20521, Turku, Finland.
14Turku University Hospital, Department of Medical Physics, FI-20521, Turku, Finland.
15University of Helsinki, Faculty of Science, Department of Physics University of Helsinki, FI-00014, Helsinki, Finland.
16Division of Medical Sciences, National Cancer Centre Singapore, Singapore, 169610, Singapore.
PubMed PMC DOI PDF

Abstract

This is a multi-institutional study to evaluate a head-and-neck CT auto-segmentation software across seven institutions globally. 11 lymph node levels and 7 organs-at-risk contours were evaluated in a two-phase study design. Time savings were measured in both phases, and the inter-observer variability across the seven institutions was quantified in phase two. Overall time savings were found to be…

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