A deep learning model was as effective as radiologists in detecting clinically significant prostate cancer on multiparametric MRI, a retrospective study suggested. In an internal test set of 400 ...
The clinical impact of germline variants in DNA repair genes in patients who underwent curative surgery for localized prostate cancer. Multivariable logistic regression model for predicting ...
About The Study: In men with suspected prostate cancer, provided image quality is adequate, an abbreviated biparametric magnetic resonance imaging (MRI) scan, with or without targeted biopsy, could ...
Biparametric MRI, which omits the dynamic contrast enhancement sequence, can detect clinically significant prostate cancer as well as multiparametric MRI. Biparametric MRI performs as well as ...
In a cohort of US veterans with prostate cancer who were on active surveillance, negative multiparametric MRI had a 75% negative predictive value for ruling out disease of grade group 2 or higher at ...
Sequential flotufolastat-F18 PSMA-PET scans to enhance detection of prostate cancer in patients with early PSA recurrence following radical prostatectomy. Prevalence of treatment-acquired homozygous ...
A quicker, cheaper MRI scan was just as accurate at diagnosing prostate cancer as the current 30-40 minute scan and should be rolled out to make MRI scans more accessible to men who need one, ...
AI-driven MRI analysis offers new insights into prostate cancer prognosis, accurately predicting metastasis risk and treatment outcomes for improved patient care. Study: AI-derived Tumor Volume from ...
Noninvasive monitoring of low-grade prostate cancer with a urinary biomarker test could reduce the need for biopsies and serial imaging, according to a study ...
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