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应用弥散张量成像测量比值评估外周带前列腺癌侵袭性。

Evaluation of Peripheral Zone Prostate Cancer Aggressiveness Using the Ratio of Diffusion Tensor Imaging Measures.

机构信息

Department of Radiology, Koç University School of Medicine, Istanbul, Turkey.

Department of Biomedical Engineering, Yeditepe University, Istanbul, Turkey.

出版信息

Contrast Media Mol Imaging. 2017 Sep 26;2017:5678350. doi: 10.1155/2017/5678350. eCollection 2017.

Abstract

PURPOSE

To evaluate the aggressiveness of peripheral zone prostate cancer by correlating the Gleason score (GS) with the ratio of the diffusion tensor imaging (DTI) measures.

MATERIALS AND METHODS

Forty-two peripheral zone prostate tumors were imaged using DTI. Regions of interest focusing on the center of tumor foci and noncancerous tissue were used to extract statistical measures of mean diffusivity (MD) and fractional anisotroy (FA). Measure ratio was calculated by dividing tumor measure by noncancerous tissue measure.

RESULTS

Strong correlations are observable between GS and MD measures while weak correlations are present between GS and FA measures. Minimum tumor MD (MD) and the ratio of minimum MD (rMD) show the same highest correlation with GS (both = -0.73). Between GS ≤ 7 (3 + 4) and GS ≥ 7 (4 + 3), differences are significant for all MD measures but for some FA measures. MD measures perform better than FA measures in discriminating GS ≥ 7 (4 + 3).

CONCLUSION

Ratios of MD measures can be used in evaluation of peripheral zone prostate cancer aggressiveness; however tumor MD measures alone perform similarly.

摘要

目的

通过将 Gleason 评分(GS)与扩散张量成像(DTI)测量的比值相关联,来评估外周区前列腺癌的侵袭性。

材料和方法

对 42 个外周区前列腺肿瘤进行 DTI 成像。在肿瘤焦点和非癌组织的中心使用感兴趣区域(ROI)来提取平均扩散度(MD)和分数各向异性(FA)的统计测量值。通过将肿瘤测量值除以非癌组织测量值来计算测量比。

结果

GS 与 MD 测量值之间存在较强的相关性,而 GS 与 FA 测量值之间存在较弱的相关性。最小肿瘤 MD(MD)和最小 MD 比(rMD)与 GS 具有相同的最高相关性(均为-0.73)。在 GS≤7(3+4)和 GS≥7(4+3)之间,所有 MD 测量值均存在显著差异,但某些 FA 测量值除外。MD 测量值在区分 GS≥7(4+3)方面优于 FA 测量值。

结论

MD 测量值的比值可用于评估外周区前列腺癌的侵袭性;然而,仅肿瘤 MD 测量值表现相似。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/14cf/5635474/955c8c8f03a3/CMMI2017-5678350.001.jpg

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