This study evaluates how new magnetic resonance imaging (MRI) and artificial intelligence techniques improve the image quality and quantitative information for future prostate MRI exams in patients with suspicious of confirmed prostate cancer. The MRI and artificial intelligence techniques developed in this study may improve the accuracy in diagnosing prostate cancer in the future using less invasive techniques than what is currently used.
Prostate Carcinoma
This study evaluates how new magnetic resonance imaging (MRI) and artificial intelligence techniques improve the image quality and quantitative information for future prostate MRI exams in patients with suspicious of confirmed prostate cancer. The MRI and artificial intelligence techniques developed in this study may improve the accuracy in diagnosing prostate cancer in the future using less invasive techniques than what is currently used.
Integrating Quantitative MRI and Artificial Intelligence to Improve Prostate Cancer Classification
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UCLA / Jonsson Comprehensive Cancer Center, Los Angeles, California, United States, 90095
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
For general information about clinical research, read Learn About Studies.
18 Years to
MALE
No
Jonsson Comprehensive Cancer Center,
Kyung H Sung, PhD, PRINCIPAL_INVESTIGATOR, UCLA / Jonsson Comprehensive Cancer Center
2027-06-01