Evaluation of hybrid DIR performance using controlling structures and points of interest in MR-guided adaptive radiotherapy for prostate cancer patients.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
25 patients treated with 30 Gy in five fractions on a 1.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
[CONCLUSION] CS improved geometric and dosimetric accuracy over intensity-only DIR, with CS + P providing further performance improvement, particularly for bladder. However, session image segmentation remains a challenge, which may be addressed with automated contouring.
[BACKGROUND] MR-guided adaptive radiotherapy (ART) allows for daily plan optimization based on patient-specific anatomy.
APA
Malkov V, Mansour IR, et al. (2026). Evaluation of hybrid DIR performance using controlling structures and points of interest in MR-guided adaptive radiotherapy for prostate cancer patients.. Journal of applied clinical medical physics, 27(1), e70437. https://doi.org/10.1002/acm2.70437
MLA
Malkov V, et al.. "Evaluation of hybrid DIR performance using controlling structures and points of interest in MR-guided adaptive radiotherapy for prostate cancer patients.." Journal of applied clinical medical physics, vol. 27, no. 1, 2026, pp. e70437.
PMID
41533320 ↗
Abstract 한글 요약
[BACKGROUND] MR-guided adaptive radiotherapy (ART) allows for daily plan optimization based on patient-specific anatomy. Accumulated doses, driven by deformable image registration (DIR), of daily fractions can provide cumulative dose metrics and insights into toxicity and tumor control. In prostate ART, inter- and intra-factional deformations, particularly due to bladder and rectum, pose a challenge to accurate DIR generation.
[PURPOSE] To quantify geometric and dosimetric accuracy of a proposed prostate MR-to-MR DIR approach to support MR-guided ART dose accumulation.
[METHODS] We evaluated DIR accuracy in 25 patients treated with 30 Gy in five fractions on a 1.5 T MR-linac using an adaptive workflow. For all patients, a reference MR was used for planning, with three images collected at each fraction: adapt MR for adaptive planning, verify MR for pretreatment position verification and beam-on for capturing anatomy during radiation delivery. We assessed three DIR approaches: intensity-based, intensity-based with controlling structures (CS), and intensity-based with controlling structures and points of interest (CS + P). DIRs were performed between the reference and fraction images and within fractions (adapt-to-verify and adapt-to-beam-on). For the evaluation, we propagated CTV, bladder, and rectum contours using the DIRs and compared each to manually delineated contours using Dice similarity coefficient, mean distance to agreement, and dose-volume metrics.
[RESULTS] CS and CS + P improved geometric agreement between manual and propagated contours over intensity-only DIR. For example, mean distance to agreement (DTA) for reference-to-beam-on intensity-only DIR was 0.131 ± 0.009 cm (CTV), 0.46 ± 0.08 cm (bladder), and 0.154 ± 0.013 cm (rectum). For the CS, the DTA values were 0.018 ± 0.002, 0.388 ± 0.14, and 0.036 ± 0.013 cm. Finally, for CS + P, these values were 0.015 ± 0.001, 0.025 ± 0.004, and 0.021 ± 0.002 cm. Dosimetrically, comparing CS and CS + P for reference to beam-on DIRs resulted in a change of CTV D98% from [-29 cGy, 19 cGy] to [-18 cGy, 26 cGy], bladder D5cc from [-51 cGy, 544 cGy] to [-79 cGy, 36 cGy], and rectum D1cc from [-106 cGy, 72 cGy] to [-52 cGy, 74 cGy].
[CONCLUSION] CS improved geometric and dosimetric accuracy over intensity-only DIR, with CS + P providing further performance improvement, particularly for bladder. However, session image segmentation remains a challenge, which may be addressed with automated contouring.
[PURPOSE] To quantify geometric and dosimetric accuracy of a proposed prostate MR-to-MR DIR approach to support MR-guided ART dose accumulation.
[METHODS] We evaluated DIR accuracy in 25 patients treated with 30 Gy in five fractions on a 1.5 T MR-linac using an adaptive workflow. For all patients, a reference MR was used for planning, with three images collected at each fraction: adapt MR for adaptive planning, verify MR for pretreatment position verification and beam-on for capturing anatomy during radiation delivery. We assessed three DIR approaches: intensity-based, intensity-based with controlling structures (CS), and intensity-based with controlling structures and points of interest (CS + P). DIRs were performed between the reference and fraction images and within fractions (adapt-to-verify and adapt-to-beam-on). For the evaluation, we propagated CTV, bladder, and rectum contours using the DIRs and compared each to manually delineated contours using Dice similarity coefficient, mean distance to agreement, and dose-volume metrics.
[RESULTS] CS and CS + P improved geometric agreement between manual and propagated contours over intensity-only DIR. For example, mean distance to agreement (DTA) for reference-to-beam-on intensity-only DIR was 0.131 ± 0.009 cm (CTV), 0.46 ± 0.08 cm (bladder), and 0.154 ± 0.013 cm (rectum). For the CS, the DTA values were 0.018 ± 0.002, 0.388 ± 0.14, and 0.036 ± 0.013 cm. Finally, for CS + P, these values were 0.015 ± 0.001, 0.025 ± 0.004, and 0.021 ± 0.002 cm. Dosimetrically, comparing CS and CS + P for reference to beam-on DIRs resulted in a change of CTV D98% from [-29 cGy, 19 cGy] to [-18 cGy, 26 cGy], bladder D5cc from [-51 cGy, 544 cGy] to [-79 cGy, 36 cGy], and rectum D1cc from [-106 cGy, 72 cGy] to [-52 cGy, 74 cGy].
[CONCLUSION] CS improved geometric and dosimetric accuracy over intensity-only DIR, with CS + P providing further performance improvement, particularly for bladder. However, session image segmentation remains a challenge, which may be addressed with automated contouring.
🏷️ 키워드 / MeSH 📖 같은 키워드 OA만
- Humans
- Male
- Prostatic Neoplasms
- Radiotherapy Planning
- Computer-Assisted
- Radiotherapy
- Image-Guided
- Radiotherapy Dosage
- Magnetic Resonance Imaging
- Intensity-Modulated
- Organs at Risk
- Image Processing
- Algorithms
- DIR
- MR‐linac
- adaptive radiotherapy
- deformable image registration
- dose accumulation
- prostate SBRT
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