Cancer Imaging (Oct 2022)

Diagnostic value of apparent diffusion coefficient in predicting pathological T stage in patients with thymic epithelial tumor

  • Chao-Chun Chang,
  • Chia-Ying Lin,
  • Li-Ting Huang,
  • Ming-Tsung Chuang,
  • Ying-Hung Lu,
  • Wei-Li Huang,
  • Ying-Yuan Chen,
  • Wu-Wei Lai,
  • Yau-Lin Tseng,
  • Yi-Ting Yen

DOI
https://doi.org/10.1186/s40644-022-00495-x
Journal volume & issue
Vol. 22, no. 1
pp. 1 – 9

Abstract

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Abstract Purposes This study aimed to evaluate the diagnostic capacity of apparent diffusion coefficient (ADC) in predicting pathological Masaoka and T stages in patients with thymic epithelial tumors (TETs). Methods Medical records of 62 patients who were diagnosed with TET and underwent diffusion-weighted imaging (DWI) prior to surgery between August 2017 and July 2021 were retrospectively analyzed. ADC values were calculated from DWI images using b values of 0, 400, and 800 s/mm2. Pathological stages were determined by histological examination of surgical specimens. Cut-off points of ADC values were calculated via receiver operating characteristic (ROC) analysis. Results Patients had a mean age of 56.3 years. Mean ADC values were negatively correlated with pathological Masaoka and T stages. Higher values of the area under the ROC curve suggested that mean ADC values more accurately predicated pathological T stages than pathological Masaoka stages. The optimal cut-off points of mean ADC were 1.62, 1.31, and 1.48 × 10–3 mm2/sec for distinguishing pathological T2-T4 from pathological T1, pathological T4 from pathological T1-T3, and pathological T3-T4 from pathological T2, respectively. Conclusion ADC seems to more precisely predict pathological T stages, compared to pathological Masaoka stage. The cut-off values of ADC identified may be used to preoperatively predict pathological T stages of TETs.

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