MRI assessment of seminal vesicle involvement by prostate cancer using T2 signal intensity and volume.

Jeries Paolo ZawaidehIztok CaglicNikita SushentsevAndrew N PriestAnne Y WarrenLuca CarmiscianoTristan Barrett

Published in: Abdominal radiology (New York) (2024)

While signal intensity measurements in T2-weighted images may provide insight into T3b disease, our findings suggest that this data alone is insufficient to reliably predict SVI, indicating the need for further investigation and complementary diagnostic approaches.

Keyphrases

prostate cancer
contrast enhanced
high intensity
radical prostatectomy
magnetic resonance imaging
deep learning
magnetic resonance
electronic health record
convolutional neural network
optical coherence tomography
big data
computed tomography
diffusion weighted imaging
machine learning