Frontiers in Oncology (Mar 2023)

The utility of diffusion-weighted imaging for differentiation of phyllodes tumor from fibroadenoma and breast cancer

  • Jinzhi Fang,
  • Yuzhong Zhang,
  • Ruifeng Li,
  • Lanlan Liang,
  • Lanlan Liang,
  • Juan Yu,
  • Ziqi Hu,
  • Lingling Zhou,
  • Renwei Liu

DOI
https://doi.org/10.3389/fonc.2023.938189
Journal volume & issue
Vol. 13

Abstract

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ObjectiveTo evaluate the utility of apparent diffusion coefficient (ADC) values for differentiating breast tumors.MethodsThe medical records of 17 patients with phyllodes tumor [PT; circular regions of interest (ROI-cs) n = 171], 74 patients with fibroadenomas (FAs; ROI-cs, n = 94), and 57 patients with breast cancers (BCs; ROI-cs, n = 104) confirmed by surgical pathology were retrospectively reviewed.ResultsThere were significant differences between PTs, FAs, and BCs in ADCmean, ADCmax, and ADCmin values. The cutoff ADCmean for differentiating PTs from FAs was 1.435 × 10−3 mm2/s, PTs from BCs was 1.100 × 10−3 mm2/s, and FAs from BCs was 0.925 × 10−3 mm2/s. There were significant differences between benign PTs, borderline PTs, and malignant PTs in ADCmean, ADCmax, and ADCmin values. The cutoff ADCmean for differentiating benign PTs from borderline PTs was 1.215 × 10−3 mm2/s, and borderline PTs from malignant PTs was 1.665 × 10−3 mm2/s.ConclusionDWI provides quantitative information that can help distinguish breast tumors.

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