Virtual monochromatic spectral CT imaging in preoperative evaluations for intraductal spread of breast cancer: comparison with conventional CT and MRI

Yuko Matsuura, Takeshi Kamitani, Koji Sagiyama, Yuzo Yamasaki, Takuya Hino, Makoto Kubo, Hideki Ijichi, Hidetaka Yamamoto, Hidetake Yabuuchi, Kousei Ishigami

研究成果: ジャーナルへの寄稿学術誌査読

抄録

Purpose: To investigate the efficacy of virtual monochromatic spectral computed tomography imaging (VMI) in the preoperative evaluation for intraductal spread of breast cancer. Materials and methods: Twenty-four women who underwent spectral CT and were pathologically diagnosed with ductal carcinoma with a ≥ 2-cm noninvasive component were retrospectively enrolled in Group 1. Twenty-two women with 22 lesions pathologically diagnosed with ductal carcinoma in situ or microinvasive carcinoma were enrolled in Group 2. We compared the contrast-to-noise ratios (CNRs) of the lesions on conventional 120-kVp CT images and 40-keV VMIs in Group 1. Two board-certified radiologists measured the maximum diameters of enhancing areas on 120-kVp CT, 40-keV VMI, and MRI in Group 2 and compared with histopathological sizes. Results: The quantitative assessment of Group 1 revealed that the mean ± SD of the CNRs in the 40-keV images were significantly greater than those in the 120-kVp images (5.5 ± 1.9 vs. 3.6 ± 1.5, p < 0.0001). The quantitative assessment of Group 2 demonstrated that the lesion size observed in the conventional 120-kVp CT images by both readers was significantly underestimated as compared to the histopathological size (p = 0.017, 0.048), whereas both readers identified no significant differences between the lesion size measured on 40-keV VMI and the histopathological data. In a comparison with MRI, 40-keV VMI provided measurement within a 10-mm error range in more lesions as compared to the conventional 120-kVp CT. Conclusion: VMI improves the evaluation of intraductal spread and is useful for the preoperative evaluations of breast cancer.

本文言語英語
ページ(範囲)733-740
ページ数8
ジャーナルJapanese Journal of Radiology
41
7
DOI
出版ステータス出版済み - 7月 2023

!!!All Science Journal Classification (ASJC) codes

  • 放射線学、核医学およびイメージング

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