Court, Laurence E; Aggarwal, Ajay; Jhingran, Anuja; Naidoo, Komeela; Netherton, Tucker; Olanrewaju, Adenike; Peterson, Christine; Parkes, Jeannette; Simonds, Hannah; Trauernicht, Christoph; +3 more... Zhang, Lifei; Beadle, Beth M; Radiation Planning Assistant Consortium; (2024) Artificial Intelligence-Based Radiotherapy Contouring and Planning to Improve Global Access to Cancer Care. JCO Global Oncology, 10 (10). e2300376-. ISSN 2687-8941 DOI: https://doi.org/10.1200/GO.23.00376
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Abstract
PURPOSE: Increased automation has been identified as one approach to improving global cancer care. The Radiation Planning Assistant (RPA) is a web-based tool offering automated radiotherapy (RT) contouring and planning to low-resource clinics. In this study, the RPA workflow and clinical acceptability were assessed by physicians around the world. METHODS: The RPA output for 75 cases was reviewed by at least three physicians; 31 radiation oncologists at 16 institutions in six countries on five continents reviewed RPA contours and plans for clinical acceptability using a 5-point Likert scale. RESULTS: For cervical cancer, RPA plans using bony landmarks were scored as usable as-is in 81% (with minor edits 93%); using soft tissue contours, plans were scored as usable as-is in 79% (with minor edits 96%). For postmastectomy breast cancer, RPA plans were scored as usable as-is in 44% (with minor edits 91%). For whole-brain treatment, RPA plans were scored as usable as-is in 67% (with minor edits 99%). For head/neck cancer, the normal tissue autocontours were acceptable as-is in 89% (with minor edits 97%). The clinical target volumes (CTVs) were acceptable as-is in 40% (with minor edits 93%). The volumetric-modulated arc therapy (VMAT) plans were acceptable as-is in 87% (with minor edits 96%). For cervical cancer, the normal tissue autocontours were acceptable as-is in 92% (with minor edits 99%). The CTVs for cervical cancer were scored as acceptable as-is in 83% (with minor edits 92%). The VMAT plans for cervical cancer were acceptable as-is in 99% (with minor edits 100%). CONCLUSION: The RPA, a web-based tool designed to improve access to high-quality RT in low-resource settings, has high rates of clinical acceptability by practicing clinicians around the world. It has significant potential for successful implementation in low-resource clinics.
Item Type | Article |
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Faculty and Department | Faculty of Public Health and Policy > Dept of Health Services Research and Policy |
PubMed ID | 38484191 |
Elements ID | 217288 |
Official URL | http://dx.doi.org/10.1200/go.23.00376 |