دورية أكاديمية

Automated contouring and planning pipeline for hippocampal-avoidant whole-brain radiotherapy

التفاصيل البيبلوغرافية
العنوان: Automated contouring and planning pipeline for hippocampal-avoidant whole-brain radiotherapy
المؤلفون: Feng, Christine H., Cornell, Mariel, Moore, Kevin L., Karunamuni, Roshan, Seibert, Tyler M.
المصدر: Radiation Oncology ; volume 15, issue 1 ; ISSN 1748-717X
بيانات النشر: Springer Science and Business Media LLC
سنة النشر: 2020
مصطلحات موضوعية: Radiology, Nuclear Medicine and imaging, Oncology
الوصف: Background Whole-brain radiotherapy (WBRT) remains an important treatment for over 200,000 cancer patients in the United States annually. Hippocampal-avoidant WBRT (HA-WBRT) reduces neurocognitive toxicity compared to standard WBRT, but HA-WBRT contouring and planning are more complex and time-consuming than standard WBRT. We designed and evaluated a workflow using commercially available artificial intelligence tools for automated hippocampal segmentation and treatment planning to efficiently generate clinically acceptable HA-WBRT radiotherapy plans. Methods We retrospectively identified 100 consecutive adult patients treated for brain metastases outside the hippocampal region. Each patient’s T1 post-contrast brain MRI was processed using NeuroQuant, an FDA-approved software that provides segmentations of brain structures in less than 8 min. Automated hippocampal segmentations were reviewed for accuracy, then converted to files compatible with a commercial treatment planning system, where hippocampal avoidance regions and planning target volumes (PTV) were generated. Other organs-at-risk (OARs) were previously contoured per clinical routine. A RapidPlan knowledge-based planning routine was applied for a prescription of 30 Gy in 10 fractions using volumetric modulated arc therapy (VMAT) delivery. Plans were evaluated based on NRG CC001 dose-volume objectives (Brown et al. in J Clin Oncol, 2020). Results Of the 100 cases, 99 (99%) had acceptable automated hippocampi segmentations without manual intervention. Knowledge-based planning was applied to all cases; the median processing time was 9 min 59 s (range 6:53–13:31). All plans met per-protocol dose-volume objectives for PTV per the NRG CC001 protocol. For comparison, only 65.5% of plans on NRG CC001 met PTV goals per protocol, with 26.1% within acceptable variation. In this study, 43 plans (43%) met OAR constraints, and the remaining 57 (57%) were within acceptable variation, compared to 42.5% and 48.3% on NRG CC001, respectively. No plans in this study ...
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1186/s13014-020-01689-y
DOI: 10.1186/s13014-020-01689-y.pdf
DOI: 10.1186/s13014-020-01689-y/fulltext.html
الإتاحة: https://doi.org/10.1186/s13014-020-01689-yTest
حقوق: http://creativecommons.org/licenses/by/4.0Test/ ; http://creativecommons.org/licenses/by/4.0Test/
رقم الانضمام: edsbas.47315CF5
قاعدة البيانات: BASE