| Content Provider | Springer Nature : BioMed Central |
|---|---|
| Author | Xin, Xin Tang, Bin Wu, Fan Lang, Jinyi Li, Jie Wang, Xianliang Liu, Min Zhang, Qingxian Liao, Xiongfei Yang, Feng Orlandini, Lucia Clara |
| Abstract | Magnetic resonance-guided adaptive radiotherapy (MRgART) at MR-Linac allows for plan optimisation on the MR-based synthetic CT (sCT) images, adjusting the target and organs at risk according to the patient’s daily anatomy. Conversely, conventional linac image-guided radiotherapy (IGRT) involves rigid realignment of regions of interest to the daily anatomy, followed by the delivery of the reference computed tomography (CT) plan. This study aims to evaluate the effectiveness of MRgART versus IGRT for rectal cancer patients undergoing short-course radiotherapy, while also assessing the dose accumulation process to support the findings and determine its usefulness in enhancing treatment accuracy. Nineteen rectal cancer patients treated with a 1.5 Tesla MR-Linac with a prescription dose of 25 Gy (5 Gy x 5) and undergoing daily adapted radiotherapy by plan optimization based on online MR-based sCT images, were included in this retrospective study. For each adapted plan ( $\:{\text{T}\text{P}}_{\text{a}\text{d}\text{a}\text{p}}$ ), a second plan ( $\:{\text{T}\text{P}}_{\text{I}\text{G}\text{R}\text{T}}$ ) was generated by recalculating the reference CT plan on the daily MR-based sCT images after rigid registration with the reference CT images to simulate the IGRT workflow. Dosimetry of $\:{\text{T}\text{P}}_{\text{a}\text{d}\text{a}\text{p}}$ and $\:\:{\text{T}\text{P}}_{\text{I}\text{G}\text{R}\text{T}}$ was compared for each fraction. Cumulative doses on the first and last fractions were evaluated for both workflows. The dosimetry per single fraction and the cumulative doses were compared using dose-volume histogram parameters. Ninety-five fractions delivered with MRgART were compared to corresponding simulated IGRT fractions. All MRgART fractions fulfilled the target clinical requirements. IGRT treatments did not meet the expected target coverage for 63 out of 94 fractions (67.0%), with 13 fractions showing a V95 median point percentage decrease of 2.78% (range, 1.65-4.16%), and 55 fractions exceeding the V107% threshold with a median value of 15.4 cc (range, 6.0-43.8 cc). For the bladder, the median $\:{\text{D}}_{15\text{c}\text{c}}$ values were 18.18 Gy for the adaptive fractions and 19.60 Gy for the IGRT fractions. Similarly the median $\:{\text{D}}_{5\text{c}\text{c}}$ values for the small bowel were 23.40 Gy and 25.69 Gy, respectively. No statistically significant differences were observed in the doses accumulated on the first or last fraction for the adaptive workflow, with results consistent with the single adaptive fractions. In contrast, accumulated doses in the IGRT workflow showed significant variations mitigating the high dose constraint, nevertheless, more than half of the patients still did not meet clinical requirements. MRgART for short-course rectal cancer treatments ensures that the dose delivered matches each fraction of the planned dose and the results are confirmed by the dose accumulation process, which therefore seems redundant. In contrast, IGRT may lead to target dose discrepancies and non-compliance with organs at risk constraints and dose accumulation can still highlight notable dosimetric differences. |
| Related Links | https://ro-journal.biomedcentral.com/counter/pdf/10.1186/s13014-024-02508-4.pdf |
| Ending Page | 8 |
| Page Count | 8 |
| Starting Page | 1 |
| File Format | HTM / HTML |
| DOI | 10.1186/s13014-024-02508-4 |
| Journal | Radiation Oncology |
| Issue Number | 1 |
| Volume Number | 19 |
| Language | English |
| Publisher | BioMed Central |
| Publisher Date | 2024-09-02 |
| Access Restriction | Open |
| Subject Keyword | Cancer Research Oncology Radiotherapy Imaging Radiology Adaptive radiotherapy MR-linac Dose tracking Synthetic CT Rectal cancer Dose accumulation |
| Content Type | Text |
| Resource Type | Article |
| Subject | Radiology, Nuclear Medicine and Imaging Oncology |
| Journal Impact Factor | 3.3/2023 |
| 5-Year Journal Impact Factor | 3.6/2023 |
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