Diagnostic value of [18F]AlF-NOTA-FAPI-04 PET/CT in breast cancer: comparison with conventional imaging

Background Conventional imaging has limitations in differentiating benign from malignant breast lesions and in staging breast cancer (BC). This study compared the diagnostic and staging performance of [ 18 F]AlF-NOTA-FAPI-04 PET/CT with conventional imaging in suspected breast lesions. Methods This single-center post hoc retrospective analysis included therapy-naïve participants with suspected breast lesions who underwent [ 18 F]AlF-NOTA-FAPI-04 PET/CT between July 2023 and February 2025. All patients underwent ultrasonography, mammography, breast MRI, whole-body CT, and bone scan. Conventional imaging results were based on consensus visual interpretation integrating these modalities. PET/CT images were assessed visually and semi-quantitatively to assess the diagnostic accuracy. Lesions were confirmed by histopathology and follow-up (median, 4.5 months). Diagnostic performance for primary breast lesions, regional lymph nodes metastases (LNM), and distant metastases was evaluated on lesion-based, whereas visual scoring and staging (the AJCC eighth edition) comparisons were patient-based. Receiver operating characteristic/Delong and McNemar χ² analyses were performed using SPSS Statistics 29.0. A two-sided P < 0.05 was statistically significant. Results Sixty-nine women (median age, 50 years) with 81 breast lesions, 797 regional lymph nodes, and 94 distant metastases were included, and all 69 patients underwent ultrasonography, mammography, breast MRI, whole-body CT, and bone scan. For primary breast lesions, conventional imaging showed sensitivity and specificity of 93.75% and 100.00%, whereas visual PET/CT showed 98.44% and 70.59%. Although LBR breast achieved the highest area under the curve (AUC), its AUC was not significantly different from that of conventional imaging (1.000 vs. 0.970, P = 0.078). In contrast, visual PET/CT showed a significantly lower AUC than conventional imaging (0.845 vs. 0.970, P = 0.034). For regional LNM detection, visual PET/CT achieved sensitivity and specificity of 95.95% and 97.60%, which were significantly higher than the corresponding values of conventional imaging (73.99% and 95.41%, all P < 0.05). PET/CT detected all 94 distant metastases, and patient-based visual scores favored PET/CT over conventional imaging (52 vs. 34). PET/CT also improved the accuracy in predicting pathological N staging (91.43% vs. 65.71%, P = 0.008) and final staging (74.29% vs. 45.71%, P = 0.009). Conclusions [ 18 F]AlF-NOTA-FAPI-04 PET/CT outperforms conventional imaging in detecting regional LNM and improving pathological staging accuracy in BC.

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Journal
Frontiers in Oncology
Published
2026-04-28
DOI
https://doi.org/10.3389/fonc.2026.1795128
Primary Topic
Peptidase Inhibition and Analysis
Type
article
Field-Weighted Citation Impact
0.00

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article

Diagnostic value of [18F]AlF-NOTA-FAPI-04 PET/CT in breast cancer: comparison with conventional imaging

Yizhen Pang, Jingru Liu, Yanluan Guo, Yi-Xiang Wang et al.
Frontiers in Oncology
Peptidase Inhibition and Analysis
article

Diagnostic value of [18F]AlF-NOTA-FAPI-04 PET/CT in breast cancer: comparison with conventional imaging

Yizhen Pang, Jingru Liu, Yanluan Guo, Yi-Xiang Wang, Tianxin Liu, Jinming Yu, Wanhu Li, Shengnan Xu, Shijie Wang, Jinli Pei, Jie Liu
article en

Abstract

Background Conventional imaging has limitations in differentiating benign from malignant breast lesions and in staging breast cancer (BC). This study compared the diagnostic and staging performance of [ 18 F]AlF-NOTA-FAPI-04 PET/CT with conventional imaging in suspected breast lesions. Methods This single-center post hoc retrospective analysis included therapy-naïve participants with suspected breast lesions who underwent [ 18 F]AlF-NOTA-FAPI-04 PET/CT between July 2023 and February 2025. All patients underwent ultrasonography, mammography, breast MRI, whole-body CT, and bone scan. Conventional imaging results were based on consensus visual interpretation integrating these modalities. PET/CT images were assessed visually and semi-quantitatively to assess the diagnostic accuracy. Lesions were confirmed by histopathology and follow-up (median, 4.5 months). Diagnostic performance for primary breast lesions, regional lymph nodes metastases (LNM), and distant metastases was evaluated on lesion-based, whereas visual scoring and staging (the AJCC eighth edition) comparisons were patient-based. Receiver operating characteristic/Delong and McNemar χ² analyses were performed using SPSS Statistics 29.0. A two-sided P < 0.05 was statistically significant. Results Sixty-nine women (median age, 50 years) with 81 breast lesions, 797 regional lymph nodes, and 94 distant metastases were included, and all 69 patients underwent ultrasonography, mammography, breast MRI, whole-body CT, and bone scan. For primary breast lesions, conventional imaging showed sensitivity and specificity of 93.75% and 100.00%, whereas visual PET/CT showed 98.44% and 70.59%. Although LBR breast achieved the highest area under the curve (AUC), its AUC was not significantly different from that of conventional imaging (1.000 vs. 0.970, P = 0.078). In contrast, visual PET/CT showed a significantly lower AUC than conventional imaging (0.845 vs. 0.970, P = 0.034). For regional LNM detection, visual PET/CT achieved sensitivity and specificity of 95.95% and 97.60%, which were significantly higher than the corresponding values of conventional imaging (73.99% and 95.41%, all P < 0.05). PET/CT detected all 94 distant metastases, and patient-based visual scores favored PET/CT over conventional imaging (52 vs. 34). PET/CT also improved the accuracy in predicting pathological N staging (91.43% vs. 65.71%, P = 0.008) and final staging (74.29% vs. 45.71%, P = 0.009). Conclusions [ 18 F]AlF-NOTA-FAPI-04 PET/CT outperforms conventional imaging in detecting regional LNM and improving pathological staging accuracy in BC.

Frontiers in OncologyVol. 16
Academy of Medical Sciences (GB), Wuhan University (CN), Shandong Tumor Hospital (CN), Renmin Hospital of Wuhan University (CN), Shandong First Medical University (CN)
National Natural Science Foundation of China
Good health and well-being
Openalex Percentile: Top 14%
Peptidase Inhibition and Analysis
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