Status
Conditions
Treatments
About
The goal of this observational study is to compare 5.0T and 3.0T biparametric magnetic resonance imaging in the diagnosis of prostate cancer. The main aims of this study are:
The data of participants was collected prospectively.
Full description
The methods currently recommended by the guidelines for early diagnosis of prostate cancer mainly include rectal examination, serum prostate-specific antigen detection, transrectal prostate ultrasound, and multi-parameter magnetic resonance imaging. However, these methods lack sufficient specificity for the diagnosis of prostate cancer. Therefore, prostate biopsy is still the gold standard for the diagnosis of prostate cancer. mpMRI has good accuracy in detecting clinically significant prostate cancer, but mpMRI is difficult to identify lesions with a tumor diameter of less than 5 mm, and false positive results may occur for benign diseases such as prostatitis. The magnetic field strength of mpMRI magnetic resonance scanners commonly used in clinical practice is mostly 1.5T or 3.0T. The application of 3.0T magnetic resonance allows patients to no longer accept the use of rectal coils and makes the examination images clearer, making it the most commonly used magnetic field strength for mpMRI. The main problems of 3.0T prostate magnetic resonance examinations are low specificity (false positive results) and insufficient accuracy in determining tumor staging. At present, there is no research and exploration on the use of 5.0T magnetic resonance in the diagnosis of prostate cancer in the world. This study intends to analyze and compare the differences between 5.0TbpMRI and 3.0TbpMRI in the diagnosis of prostate cancer through a prospective, paired-design diagnostic trial, and try to explore whether 5.0TbpMRI can improve the limitations of 3.0TbpMRI in the diagnosis of prostate cancer.
Enrollment
Sex
Ages
Volunteers
Inclusion criteria
Exclusion criteria
150 participants in 1 patient group
Loading...
Central trial contact
Changming Wang, M.D.; Jun Xiao, M.D.
Data sourced from clinicaltrials.gov
Clinical trials
Research sites
Resources
Legal