Details

Autor(en) / Beteiligte

• Nketiah, Gabriel A
• Elschot, Mattijs
• Scheenen, Tom W
• Maas, Marnix C
• Bathen, Tone F
• Selnæs, Kirsten M

Titel

Utility of T 2 -weighted MRI texture analysis in assessment of peripheral zone prostate cancer aggressiveness: a single-arm, multicenter study

Ist Teil von

• Scientific reports, 2021-01, Vol.11 (1), p.2085

Ort / Verlag

England

Erscheinungsjahr

2021

Quelle

Free E-Journal (出版社公開部分のみ）

Beschreibungen/Notizen

• T -weighted (T W) MRI provides high spatial resolution and tissue-specific contrast, but it is predominantly used for qualitative evaluation of prostate anatomy and anomalies. This retrospective multicenter study evaluated the potential of T W image-derived textural features for quantitative assessment of peripheral zone prostate cancer (PCa) aggressiveness. A standardized preoperative multiparametric MRI was performed on 87 PCa patients across 6 institutions. T W intensity and apparent diffusion coefficient (ADC) histogram, and T W textural features were computed from tumor volumes annotated based on whole-mount histology. Spearman correlations were used to evaluate association between textural features and PCa grade groups (i.e. 1-5). Feature utility in differentiating and classifying low-(grade group 1) vs. intermediate/high-(grade group ≥ 2) aggressive cancers was evaluated using Mann-Whitney U-tests, and a support vector machine classifier employing "hold-one-institution-out" cross-validation scheme, respectively. Textural features indicating image homogeneity and disorder/complexity correlated significantly (p < 0.05) with PCa grade groups. In the intermediate/high-aggressive cancers, textural homogeneity and disorder/complexity were significantly lower and higher, respectively, compared to the low-aggressive cancers. The mean classification accuracy across the centers was highest for the combined ADC and T W intensity-textural features (84%) compared to ADC histogram (75%), T W histogram (72%), T W textural (72%) features alone or T W histogram and texture (77%), T W and ADC histogram (79%) combined. Texture analysis of T W images provides quantitative information or features that are associated with peripheral zone PCa aggressiveness and can augment their classification.