Planning CT Identifies Patients at Risk of High Prostate Intrafraction Motion.
Hendrik BallhausenMinglun LiElia LombardoGuillaume LandryClaus BelkaPublished in: Cancers (2023)
Prostate motion (standard deviation, range of motion, and diffusion coefficient) was calculated from 4D ultrasound data of 1791 fractions of radiation therapy in N = 100 patients. The inner diameter of the lesser pelvis was obtained from transversal slices through the pubic symphysis in planning CTs. On the lateral and craniocaudal axes, motility increases significantly ( t -test, p < 0.005) with the inner diameter of the lesser pelvis. A diameter of >106 mm (ca. 6th decile) is a good predictor for high prostate intrafraction motion (ca. 9th decile). The corresponding area under the receiver operator curve (AUROC) is 80% in the lateral direction, 68% to 80% in the craniocaudal direction, and 62% to 70% in the vertical direction. On the lateral x-axis, the proposed test is 100% sensitive and has a 100% negative predictive value for all three characteristics (standard deviation, range of motion, and diffusion coefficient). On the craniocaudal z-axis, the proposed test is 79% to 100% sensitive and reaches 95% to 100% negative predictive value. On the vertical axis, the proposed test still delivers 98% negative predictive value but is not particularly sensitive. Overall, the proposed predictor is able to help identify patients at risk of high prostate motion based on a single planning CT.
Keyphrases
- prostate cancer
- high speed
- benign prostatic hyperplasia
- radiation therapy
- minimally invasive
- computed tomography
- end stage renal disease
- magnetic resonance imaging
- optic nerve
- chronic kidney disease
- dual energy
- electronic health record
- dna methylation
- genome wide
- peritoneal dialysis
- diffusion weighted imaging
- squamous cell carcinoma
- cystic fibrosis
- optical coherence tomography
- locally advanced
- artificial intelligence
- data analysis