Academic Journal

Accuracy of four models and update strategies to estimate liver tumor motion from external respiratory motion

التفاصيل البيبلوغرافية
العنوان: Accuracy of four models and update strategies to estimate liver tumor motion from external respiratory motion
المؤلفون: Payam Samadi Miandoab, Esben Worm, Rune Hansen, Britta Weber, Morten Høyer, Shahyar Saramad, Saeed Setayeshi, Per Rugaard Poulsen
المصدر: Frontiers in Oncology, Vol 14 (2024)
بيانات النشر: Frontiers Media S.A., 2024.
سنة النشر: 2024
المجموعة: LCC:Neoplasms. Tumors. Oncology. Including cancer and carcinogens
مصطلحات موضوعية: tumor motion monitoring, intrafraction motion, external-internal motion correlation, real-time tumor tracking, liver radiotherapy, Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: BackgroundThis study investigates different strategies for estimating internal liver tumor motion during radiotherapy based on continuous monitoring of external respiratory motion combined with sparse internal imaging.MethodsFifteen patients underwent three-fraction stereotactic liver radiotherapy. The 3D internal tumor motion (INT) was monitored by electromagnetic transponders while a camera monitored the external marker block motion (EXT). The ability of four external-internal correlation models (ECM) to estimate INT as function of EXT was investigated: a simple linear model (ECM1), an augmented linear model (ECM2), an augmented quadratic model (ECM3), and an extended quadratic model (ECM4). Each ECM was constructed by fitting INT and EXT during the first 60s of each fraction. The fit accuracy was calculated as the root-mean-square error (RMSE) between ECM-estimated and actual tumor motion. Next, the RMSE of the ECM-estimated tumor motion throughout the fractions was calculated for four simulated ECM update strategies: (A) no update, 0.33Hz internal sampling with continuous update of either (B) all ECM parameters based on the last 2 minutes samples or (C) only the baseline term based on the last 5 samples, (D) full ECM update every minute using 20s continuous internal sampling.ResultsThe augmented quadratic ECM3 had best fit accuracy with mean (± SD)) RMSEs of 0.32 ± 0.11mm (left-right, LR), 0.79 ± 0.30mm (cranio-caudal, CC) and 0.56 ± 0.31mm (anterior-posterior, AP). However, the simpler augmented linear ECM2 combined with frequent baseline updates (update strategy C) gave best motion estimations with mean RMSEs of 0.41 ± 0.14mm (LR), 1.02 ± 0.33mm (CC) and 0.78 ± 0.48mm (AP). This was significantly better than all other ECM-update strategy combinations for CC motion (Wilcoxon signed rank p
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 2234-943X
Relation: https://www.frontiersin.org/articles/10.3389/fonc.2024.1470650/full; https://doaj.org/toc/2234-943X
DOI: 10.3389/fonc.2024.1470650
URL الوصول: https://doaj.org/article/6b585b119fbc4dd684077afa18f74f05
رقم الانضمام: edsdoj.6b585b119fbc4dd684077afa18f74f05
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:2234943X
DOI:10.3389/fonc.2024.1470650