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Mammographically detected breast clustered microcalcifications localized by chest thin-section computed tomography
Xinjie Liu1, Yuhan Bao2, Laijian Sui3
1Surgery Department of West Area, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, 20 Yuhuangding East Road, Yantai, Shandong, 264001, P.R. China.
World Journal of Surgical Oncology
|February 28, 2024
Summary
Thin-section computed tomography (CT) successfully localized nearly 60% of mammographically detected clustered microcalcifications. Larger microcalcification cluster diameter, particularly in the mediolateral oblique view, predicts successful CT localization, aiding surgical biopsy.
Area of Science:
- Radiology
- Medical Imaging
- Oncology
Background:
- Mammography (MG) is standard for detecting clustered microcalcifications.
- Accurate localization is crucial for biopsy and diagnosis.
- Thin-section CT offers potential for improved localization.
Purpose of the Study:
- To evaluate the capability and clinical significance of chest thin-section CT for localizing mammographically detected clustered microcalcifications.
- To identify factors predicting successful CT localization.
Main Methods:
- 69 patients with 71 mammographically detected clustered microcalcifications underwent surgical biopsy.
- CT was used for localization, combined with MG when feasible.
- Intraoperative specimen mammography confirmed microcalcification removal.
Main Results:
- CT + MG localized 59.15% of calcifications; MG alone guided 40.85%.
- All suspicious calcifications were successfully removed.
- Larger microcalcification cluster diameter (MLO view) significantly predicted CT localization (P=.001).
- CT+MG group had older patients and larger calcification clusters.
Conclusions:
- Thin-section CT is effective for localizing approximately half of mammographically detected clustered microcalcifications.
- Maximum cluster diameter (MLO view) is a key predictor of CT visibility.
- CT can be valuable for localizing calcifications, especially those visible in only one mammographic view.
