Online Adaptive MRI-Guided Stereotactic Body Radiotherapy for Pancreatic and Other Intra-Abdominal Cancers.
Danny LeePaul RenzSeungjong OhMin-Sig HwangDaniel PavordKyung Lim YunColleen ColluraMary McCauleyAthanasios Tom ColoniasMark TrombettaAlexander KirichenkoPublished in: Cancers (2023)
A 1.5T MRI combined with a linear accelerator (Unity ® , Elekta; Stockholm, Sweden) is a device that shows promise in MRI-guided stereotactic body radiation treatment (SBRT). Previous studies utilized the manufacturer's pre-set MRI sequences (i.e., T2 Weighted (T2W)), which limited the visualization of pancreatic and intra-abdominal tumors and organs at risk (OAR). Here, a T1 Weighted (T1W) sequence was utilized to improve the visualization of tumors and OAR for online adapted-to-position (ATP) and adapted-to-shape (ATS) during MRI-guided SBRT. Twenty-six patients, 19 with pancreatic and 7 with intra-abdominal cancers, underwent CT and MRI simulations for SBRT planning before being treated with multi-fractionated MRI-guided SBRT. The boundary of tumors and OAR was more clearly seen on T1W image sets, resulting in fast and accurate contouring during online ATP/ATS planning. Plan quality in 26 patients was dependent on OAR proximity to the target tumor and achieved 96 ± 5% and 92 ± 9% in gross tumor volume D 90% and planning target volume D 90% . We utilized T1W imaging (about 120 s) to shorten imaging time by 67% compared to T2W imaging (about 360 s) and improve tumor visualization, minimizing target/OAR delineation uncertainty and the treatment margin for sparing OAR. The average time-consumption of MRI-guided SBRT for the first 21 patients was 55 ± 15 min for ATP and 79 ± 20 min for ATS.
Keyphrases
- contrast enhanced
- magnetic resonance imaging
- radiation therapy
- diffusion weighted imaging
- magnetic resonance
- computed tomography
- end stage renal disease
- high resolution
- newly diagnosed
- prognostic factors
- ejection fraction
- chronic kidney disease
- social media
- healthcare
- health information
- early stage
- locally advanced
- minimally invasive
- deep learning
- rectal cancer
- dual energy
- molecular dynamics
- replacement therapy
- smoking cessation
- image quality