Dataset Information

Usefulness of Bi-Parametric Magnetic Resonance Imaging with b=1,800 s/mm² Diffusion-Weighted Imaging for Diagnosing Clinically Significant Prostate Cancer.

ABSTRACT:

Purpose

This study was conducted to compare the accuracy of bi-parametric magnetic resonance imaging (bpMRI) with high b-value (b=1,000 s/mm², b1000) diffusion-weighted imaging (DWI) to that of bpMRI with ultra-high b-value (b=1,800 s/mm², b1800) DWI to detect clinically significant prostate cancer (csPCa).

Materials and methods

A total of 408 patients with suspected PCa were evaluated by bpMRI prior to biopsy. One reader retrospectively reviewed all images for confirmation of Prostate Imaging-Reporting and Data System (PI-RADS) score. Cognitive magnetic resonance/ultrasound fusion target biopsy was done for all visible lesions (PI-RADS 3-5). Systematic biopsy was done for all cases. The csPCa detection rates were compared according to the bpMRI protocol (with/without b1800 DWI) or PI-RADS score. The accuracy of PI-RADS score was estimated using receiver operating characteristics curve. The signal intensity (SI) ratio (visible lesion/surrounding background) was evaluated.

Results

Among 164 men confirmed having PCa, 102 had csPCa (Gleason score≥7). Proportions of PI-RADS score 1-2/3/4/5 without b1800 DWI (n=133) and with b1800 DWI (n=275) were 19.5%/57.9%/15.8%/6.8% and 21.1%/48.7%/22.2%/8.0%, respectively. csPCa detection rates with/without b1800 DWI were 27.6%/19.5% (p=0.048), respectively. Areas under the curve of PI-RADS grading with/without b1800 DWI for csPCa detection were 0.885 and 0.705, respectively. The SI ratio in b1800 DWI was higher than that in b1000 DWI (p<0.001).

Conclusions

Adding b1800 DWI to bpMRI protocol improved the diagnostic accuracy and detection rate of csPCa. The higher SI ratio (lesion/background) in b1800 DWI enabled clearer identification of lesions.

SUBMITTER: Lee SS

PROVIDER: S-EPMC7308233 | biostudies-literature | 2020 Jul

REPOSITORIES: biostudies-literature

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Publications

Usefulness of Bi-Parametric Magnetic Resonance Imaging with b=1,800 s/mm² Diffusion-Weighted Imaging for Diagnosing Clinically Significant Prostate Cancer.

Lee Seung Soo SS Lee Dong Hoon DH Song Won Hoon WH Nam Jong Kil JK Han Ji Yeon JY Lee Hyun Jung HJ Kim Tae Un TU Park Sung Woo SW

The world journal of men's health 20190730 3

<h4>Purpose</h4>This study was conducted to compare the accuracy of bi-parametric magnetic resonance imaging (bpMRI) with high b-value (b=1,000 s/mm², b1000) diffusion-weighted imaging (DWI) to that of bpMRI with ultra-high b-value (b=1,800 s/mm², b1800) DWI to detect clinically significant prostate cancer (csPCa).<h4>Materials and methods</h4>A total of 408 patients with suspected PCa were evaluated by bpMRI prior to biopsy. One reader retrospectively reviewed all images for confirmation of Pro ...[more]

PMID: 31385479

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Project description:BackgroundAmide proton transfer-weighted magnetic resonance imaging (APTw-MRI) and apparent diffusion coefficient (ADC) values can effectively differentiate clinically significant prostate cancer (csPCa). However, their added value in Prostate Imaging Reporting and Data System version 2.1 (PI-RADS v. 2.1) remains uncertain. This study aimed to investigate the added value of APTw-MRI and ADC to PI-RADS v. 2.1 in differentiating csPCa.MethodsThis study included 161 participants who underwent prostate biopsy or radical prostatectomy within 1 month following MRI. Six magnetic resonance (MR) parameters [minimum APT value (APTmin), maximum APT value (APTmax), mean APT value (APTmean), minimum ADC value (ADCmin), maximum ADC value (ADCmax), and mean ADC value (ADCmean)] and the PI-RADS score were acquired by two radiologists. Receiver operating characteristic (ROC) curve analysis was performed to evaluate and select parameters with the greatest performance from the APT and ADC values. Multivariate logistic regression analysis was conducted to construct models based on selected MR parameters and the PI-RADS score. The Delong test was applied to compare the area under the ROC curve (AUC) between models.ResultsThe lesions of csPCa exhibited higher APT values and lower ADC values than not clinically significant prostate cancer (ncsPCa). The greatest comprehensive performance in differentiating csPCa was achieved by APTmean (AUC: 0.723; cutoff value: >1.644) and ADCmean (AUC: 0.759; cutoff value: <0.656). The addition of APTmean significantly improved the performance of the model based on the PI-RADS score (AUC: APT PI-RADS 0.867 vs. PI-RADS 0.813; P=0.002). The introduction of ADCmean further improved the performance of the model based on APTmean and PI-RADS (AUC: combined model 0.875 vs. PI-RADS 0.867, P=0.69), and it retained high diagnostic efficacy (AUC: 0.835) in the validation cohort. Further verification through calibration curve and decision curve analysis demonstrated that the adjusted PI-RADS model exhibited remarkable precision and practicality.ConclusionsAPTw-MRI and ADC are valuable parameters for differentiating csPCa and can provide additional value for improving the efficiency and clinical benefit of PI-RADS v. 2.1.

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Dataset Information

Usefulness of Bi-Parametric Magnetic Resonance Imaging with b=1,800 s/mm² Diffusion-Weighted Imaging for Diagnosing Clinically Significant Prostate Cancer.

Purpose

Materials and methods

Results

Conclusions

Publications

Usefulness of Bi-Parametric Magnetic Resonance Imaging with b=1,800 s/mm² Diffusion-Weighted Imaging for Diagnosing Clinically Significant Prostate Cancer.

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