Literature DB >> 31899654

Histogram analysis from stretched exponential model on diffusion-weighted imaging: evaluation of clinically significant prostate cancer.

EunJu Kim1,2, Chan Kyo Kim3,4,5, Hyun Soo Kim6, Dong Pyo Jang1, In Young Kim1, Jinwoo Hwang2.   

Abstract

OBJECTIVE: To evaluate the usefulness of histogram analysis of stretched exponential model (SEM) on diffusion-weighted imaging in evaluating clinically significant prostate cancer (CSC).
METHODS: A total of 85 patients with prostate cancer underwent 3 T multiparametric MRI, followed by radical prostatectomy. Histogram parameters of the tumor from the SEM [distributed diffusion coefficient (DDC) and α] and the monoexponential model [MEM; apparent diffusion coefficient (ADC)] were evaluated. The associations between parameters and Gleason score or Prostate Imaging Reporting and Data System v. 2 were evaluated. The area under the receiver operating characteristics curve was calculated to evaluate diagnostic performance of parameters in predicting CSC.
RESULTS: The values of histogram parameters of DDC and ADC were significantly lower in patients with CSC than in patients without CSC (p < 0.05), except for skewness and kurtosis. The value of the 25th percentile of α was significantly lower in patients with CSC than in patients without CSC (p = 0.014). Histogram parameters of ADC and DDC had significant weak to moderate negative associations with Gleason score or Prostate Imaging Reporting and Data System v. 2 (p < 0.001), except for skewness and kurtosis. For predicting CSC, the area under the curves of mean ADC (0.856), 50th percentile DDC (0.852), and 25th percentile α (0.707) yielded the highest values compared to other histogram parameters from each group.
CONCLUSION: Histogram analysis of the SEM on diffusion-weighted imaging may be a useful quantitative tool for evaluating CSC. However, the SEM did not outperform the MEM. ADVANCES IN KNOWLEDGE: Histogram parameters of SEM may be useful for evaluating CSC.

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Year:  2020        PMID: 31899654      PMCID: PMC7055435          DOI: 10.1259/bjr.20190757

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  32 in total

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6.  Clinically insignificant prostate cancer suitable for active surveillance according to Prostate Cancer Research International: Active surveillance criteria: Utility of PI-RADS v2.

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9.  A Whole-Tumor Histogram Analysis of Apparent Diffusion Coefficient Maps for Differentiating Thymic Carcinoma from Lymphoma.

Authors:  Wei Zhang; Yue Zhou; Xiao-Quan Xu; Ling-Yan Kong; Hai Xu; Tong-Fu Yu; Hai-Bin Shi; Qing Feng
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10.  Performance of transperineal template-guided mapping biopsy in detecting prostate cancer in the initial and repeat biopsy setting.

Authors:  A V Taira; G S Merrick; R W Galbreath; H Andreini; W Taubenslag; R Curtis; W M Butler; E Adamovich; K E Wallner
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