Discrepancy in the Location of Prostate Cancer Indicated on Biparametric Magnetic Resonance Imaging and Pathologically Diagnosed Using Surgical Specimens.
Masayuki TomiokaKeita NakaneMakoto KawaseKoji IinumaDaiki KatoKota KawaseTomoki TaniguchiYuki TobisawaFumiya SuginoTetsuro KagaHiroki KatoMasayuki MatsuoYusuke KitoChiemi SaigoNatsuko SuzuiTakayasu ItoTatsuhiko MiyazakiTamotsu TakeuchiTakuya KoiePublished in: Current oncology (Toronto, Ont.) (2024)
Accurate diagnosis of the localization of prostate cancer (PCa) on magnetic resonance imaging (MRI) remains a challenge. We aimed to assess discrepancy between the location of PCa pathologically diagnosed using surgical specimens and lesions indicated as possible PCa by the Prostate Imaging Reporting and Data System on MRI. The primary endpoint was the concordance rate between the site of probable clinically significant PCa (csPCa) identified using biparametric MRI (bpMRI) and location of PCa in the surgical specimen obtained using robot-assisted total prostatectomy. Among 85 lesions identified in 30 patients; 42 (49.4%) were identified as possible PCa on MRI. The 85 PCa lesions were divided into positive and negative groups based on the bpMRI results. None of the patients had missed csPCa. Although the diagnostic accuracy of bpMRI was relatively high for PCas located in the middle of the prostate ( p = 0.029), it was relatively low for PCa located at the base of the prostate, all of which were csPCas. Although current modalities can accurately diagnose PCa, the possibility that PCa is present with multiple lesions in the prostate should be considered, even if MRI does not detect PCa.
Keyphrases
- prostate cancer
- magnetic resonance imaging
- contrast enhanced
- robot assisted
- radical prostatectomy
- end stage renal disease
- diffusion weighted imaging
- computed tomography
- ejection fraction
- newly diagnosed
- chronic kidney disease
- prognostic factors
- high resolution
- emergency department
- minimally invasive
- mass spectrometry
- ultrasound guided
- data analysis
- patient reported