Amide proton transfer (APT) imaging of breast cancers and its correlation with biological status

Takeshi Kamitani, Koji Sagiyama, Yuzo Yamasaki, Takuya Hino, Tatsuhiro Wada, Makoto Kubo, Sayuri Akiyoshi, Hidetaka Yamamoto, Hidetake Yabuuchi, Kousei Ishigami

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To assess the usefulness of amide proton transfer (APT) imaging to predict the biological status of breast cancers. Method: Sixty-six patients (age range 31–85 years, mean 58.9 years) with histopathologically proven invasive ductal carcinomas of 2 cm or larger in diameter were included in this study. 3D APT weighted imaging was conducted on a 3 T scanner. Mean APT signal intensity (SI) was analyzed in relation to biological subtypes, Ki-67 labeling index, and nuclear grades (NGs). Results: The triple-negative (TN) cancers (n = 10; 2.75 ± 0.42%) showed significantly higher APT SI than the luminal type cancers (n = 48; 1.74 ± 0.83) and HER2 cancers (n = 8; 1.83 ± 0.21) (P = 0.0007, 0.03). APT SI had weakly positive correlation with the Ki-67 labeling index (r = 0.38, P = 0.002). The mean APT SIs were significantly higher for high-Ki-67 (>30%) (n = 31; 2.25 ± 0.70) than low-Ki-67 (≤30%) cancers (n = 35; 1.60 ± 0.79) (P = 0.0007). There was no significant difference in the APT SIs between NG 1–2 (n = 31; 1.71 ± 0.84) and NG 3 (n = 35; 2.08 ± 0.76%) cancers (P = 0.06). Conclusions: TN and high-Ki-67 breast cancers showed high APT SIs. APT imaging can help to predict the biological status of breast cancers.

Original languageEnglish
Pages (from-to)38-43
Number of pages6
JournalClinical Imaging
Volume96
DOIs
Publication statusPublished - Apr 2023

All Science Journal Classification (ASJC) codes

  • Radiology Nuclear Medicine and imaging

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