Utility of radiomics features of diffusion-weighted magnetic resonance imaging for differentiation of fat-poor angiomyolipoma from clear cell renal cell carcinoma: model development and external validation

Shunya Matsumoto, Yuki Arita, Soichiro Yoshida, Hiroshi Fukushima, Koichiro Kimura, Ichiro Yamada, Hajime Tanaka, Fumiko Yagi, Minato Yokoyama, Yoh Matsuoka, Mototsugu Oya, Ukihide Tateishi, Masahiro Jinzaki, Yasuhisa Fujii

研究成果: Article査読

抄録

Purpose: To investigate the utility of radiomics features of diffusion-weighted magnetic resonance imaging (DW-MRI) to differentiate fat-poor angiomyolipoma (fpAML) from clear cell renal cell carcinoma (ccRCC). Materials and methods: This multi-institutional study included two cohorts with pathologically confirmed renal tumors: 65 patients with ccRCC and 18 with fpAML in the model development cohort, and 17 with ccRCC and 13 with fpAML in the external validation cohort. All patients underwent magnetic resonance imaging (MRI) including DW-MRI. Radiomics analysis was used to extract 39 imaging features from the apparent diffusion coefficient (ADC) map. The radiomics features were analyzed with unsupervised hierarchical cluster analysis. A random forest (RF) model was used to identify radiomics features important for differentiating fpAML from ccRCC in the development cohort. The diagnostic performance of the RF model was evaluated in the development and validation cohorts. Results: The cases in the developmental cohort were classified into three groups with different frequencies of fpAML by cluster analysis of radiomics features. RF analysis of the development cohort showed that the mean ADC value was important for differentiating fpAML from ccRCC, as well as higher-texture features including gray-level run length matrix (GLRLM)_long-run low gray-level enhancement (LRLGE), and GLRLM_low gray-level run emphasis (LGRE). The area under the curve values of the development [0.90, 95% confidence interval (CI) 0.80–1.00] and validation cohorts (0.87, 95% CI 0.74–1.00) were similar (P = 0.91). Conclusion: The radiomics features of ADC maps are useful for differentiating fpAML from ccRCC. Graphical abstract: [Figure not available: see fulltext.]

本文言語English
ページ(範囲)2178-2186
ページ数9
ジャーナルAbdominal Radiology
47
6
DOI
出版ステータスPublished - 2022 6月

ASJC Scopus subject areas

  • 放射線技術および超音波技術
  • 放射線学、核医学およびイメージング
  • 消化器病学
  • 泌尿器学

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