ESTRO 2024 - Abstract Book

S4984

Physics - Radiomics, functional and biological imaging and outcome prediction

ESTRO 2024

Figure 2 demonstrates the image and T 2 -map quality that can be obtained with our method. The iterative method recovers the values estimated by the full dataset. Slight differences can be attributed to both noise and differences in prostate positioning between PCs. Mean T 2 values in muscle, prostate central zone and prostate peripheral zone were 36, 71 and 204 ms respectively. Literature values for these tissues are 35, 61 and 67 ms [10], [11].

Conclusion:

We have developed a fast (~4 min) and accurate (15%) method for high-resolution (0.7x0.7x2 mm 3 ), full pelvic FOV T 1 & T 2 mapping for the 1.5 T Unity MRL. The same sequence can be used to acquire images that are suitable for online position verification and replanning. Future work will focus on testing this method on patients to assess its added value in response monitoring and OAR and target definition. Based on our results, it is plausible that our method is sensitive enough to distinguish T 2 differences between healthy prostate tissue, prostatitis and intraprostatic cancer lesions.

Keywords: MRL, relaxometry, prostate

References:

[1] R. Shiradkar et al., “T1 and T2 MR fingerprinting measurements of prostate cancer and prostatitis correlate with deep learning-derived estimates of epithelium, lumen, and stromal composition on corresponding whole mount histopathology.,” Eur. Radiol., vol. 31, no. 3, pp. 1336–1346, Mar. 2021, doi: 10.1007/s00330-020-07214-9.