Prostate cancer is the second most common cancer in men, and almost 300,000 individuals are diagnosed with it each year in the U.S. To develop a consistent method of estimating prostate cancer size, ...

Ideally, prostate MRI should not be performed for at least ... and overlap of diffusion values between benign and malignant lesions. [67] There is no ADC threshold value that will reliably ...

Expert answers to patients’ questions were offered as part of the CURE® Educated Patient® Prostate Cancer Summit.

Researchers determine whether artificial intelligence-based MRI data could predict prostate cancer patient outcomes.

Abnormal results on a prostate-specific antigen (PSA ... but none got a systematic biopsy. Men with suspicious lesions on MRI got a targeted biopsy. This initial screening round was followed by repeat ...

Researchers trained and validated an AI model based on MRI scans from more than 700 prostate cancer patients. The model was ...

Researchers have developed a three-dimensional mathematical model of prostate cancer. The model depicts various processes, including tumour growth, genetic evolution and tumour cell competition.

Adapt biopsy sampling in order to accurately detect prostate high grade targets identified by the image modality (MRI, PET…). Use KOELIS precise Elastic Tracking to Frame the lesions before ...

Most clinicians do not use ultrasound to detect prostate cancer or to target suspicious lesions for biopsy owing ... T2-weighted MRI is useful in the local staging of cancer and treatment planning ...