Diagnostic Performance of Multiparametric MR Imaging at 3.0 Tesla in Discriminating Prostate Cancer from Prostatitis: A Histopathologic Correlation

Peker, Elif; Sönmez, Didem Yasemin; Akkaya, Habip Eser; Hayme, Serhat; Erden, M Ilhan; Erden, Ayşe

doi:10.5152/eurasianjmed.2018.18195

Cited by 5 publications

(2 citation statements)

References 11 publications

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“…Peker et al reported that nT2SI was significantly higher in the prostatitis group than in the PCa group 27 , and Wang et al reported that nT2SI negatively correlated with GS 18 . T2 has been reported to negatively correlate with cell density, percentage area of nuclei, and percentage area of cytoplasm and positively correlate with the percentage area of luminal space 13 , 28 .…”

Section: Discussionmentioning

confidence: 99%

MR imaging features to predict the type of bone metastasis in prostate cancer

Kôyama

Kurokawa

Kato

et al. 2023

Sci Rep

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Bone metastases (BMs) of prostate cancer (PCa) have been considered predominantly osteoblastic, but non-osteoblastic (osteolytic or mixed osteoblastic and osteolytic) BMs can occur. We investigated the differences in prostate MRI and clinical findings between patients with osteoblastic and non-osteoblastic BMs. Between 2014 and 2021, patients with pathologically proven PCa without a history of other malignancies were included in this study. Age, Gleason score, prostate-specific antigen (PSA) density, normalized mean apparent diffusion coefficient and normalized T2 signal intensity (nT2SI) of PCa, and Prostate Imaging Reporting and Data System category on MRI were compared between groups. A multivariate logistic regression analysis using factors with P-values < 0.2 was performed to detect the independent parameters for predicting non-osteoblastic BM group. Twenty-five (mean 73 ± 6.6 years) and seven (69 ± 13.1 years) patients were classified into the osteoblastic and non-osteoblastic groups, respectively. PSA density and nT2SI were significantly higher in the non-osteoblastic group than in the osteoblastic group. nT2SI was an independent predictive factor for non-osteoblastic BMs in the multivariate logistic regression analysis. These results indicated that PCa patients with high nT2SI and PSA density should be examined for osteolytic BMs.

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Section: Discussionmentioning

confidence: 99%

MR imaging features to predict the type of bone metastasis in prostate cancer

Kôyama

Kurokawa

Kato

et al. 2023

Sci Rep

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“…[ 16 , 17 ] ADC values were significantly lower in the PCa group than that in prostatitis, and ADC value alone showed high sensitivity in detecting PCa. [ 18 ] However, the specificity of MRI for PCa is limited, and MRI likely missed some prostatic and extraprostatic lesions.…”

Section: Discussionmentioning

confidence: 99%

68Ga-PSMA-11 PET/CT combining ADC value of MRI in the diagnosis of naive prostate cancer

Wang¹,

Yu²,

Zang³

et al. 2020

Medicine

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68 Ga-PSMA-11 positron emission computed tomography /computed tomography (PET/CT) is more sensitive than magnetic resonance imaging (MRI) in detecting prostate cancer (PCa). We evaluated the value of 68 Ga-PSMA-11 PET/CT with MRI in treatment-naive PCa. This retrospective study was approved by the hospital ethics committee. The MRI and 68 Ga-PSMA-11 PET/CT imaging data of 63 cases of highly suspected PCa were enrolled in this study. The SUV max and apparent diffusion coefficient (ADC), and their ratio, were assessed as diagnostic markers to distinguish PCa from benign disease. There were 107 prostate lesions detected in 63 cases. Forty cases with 64 malignant primary lesions were confirmed PCa, whereas 23 cases had 43 benign lesions. PSMA-avid lesions correlated with hypointense signal on ADC maps and hyperintense signal on diffusion-weighted imaging. The ADC of PCa was lower than that of benign lesions, and SUV max and SUV max /ADC of PCa was higher than that of benign lesions ( P < .01). ADC had significant negative correlation with Gleason score (GS) and SUV max , SUV max , and SUV max /ADC positively correlated with GS. From ROC analysis, we established cutoff values of ADC, SUV max , and SUV max /ADC at 1.02 × 10 −3 mm 2 /s, 11.72, and 12.35, respectively, to differentiate PCa from benign lesions. The sensitivity, specificity, and AUC were 90.6%, 58.1%, and 0.816 for ADC, 67.2%, 97.7%, and 0.905 for SUV max , and 81.2%, 88.4%, and 0.929 for SUV max /ADC, respectively. 68 Ga-PSMA-11 PET/CT combined with MRI offers higher diagnostic efficacy in the detection of PCa than either modality alone.

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