Diagnostic performance of core needle biopsy in identifying breast phyllodes tumors.

J Thorac Dis

Department of Radiation Oncology, Fudan University Shanghai Cancer Center, Shanghai 200032, China;; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai 200032, China.

Published: November 2016

AI Article Synopsis

  • - A study analyzed data from 128 patients at Fudan University Shanghai Cancer Center to evaluate the effectiveness of preoperative core needle biopsy (CNB) in diagnosing phyllodes tumors of the breast (PTB) before surgery.
  • - The findings revealed that CNB had a low overall accuracy of 13.3%, with specific sensitivity rates for benign (4.9%), borderline (4.2%), and malignant (25.0%) PTBs, while maintaining high specificity across classifications.
  • - The study concludes that although CNB can provide some pathology information, its poor accuracy necessitates integrating clinical features and imaging assessments for better diagnosis of PTB.

Article Abstract

Background: A retrospective analysis of diagnoses was performed in patients with phyllodes tumors of the breast (PTB) who received preoperative core needle biopsy (CNB) and had breast surgery at Fudan University Shanghai Cancer Center from January 1, 2002 to April 1, 2013. The resulting data allowed us to compare the accordance between CNB and excision diagnoses of PTB patients and evaluate the accuracy of CNB in preoperative diagnosis.

Methods: Data from 128 patients with PTB who had undergone preoperative CNB and breast surgery were retrospectively analyzed. We reviewed the medical history, clinical follow-up data, and CNB diagnostic data. A diagnostic test was used to evaluate the sensitivity and specificity of CNB in diagnosing benign, borderline, and malignant phyllodes tumors.

Results: The accuracy of CNB for diagnosing PTB was 13.3% (17/128). Of the remaining patients, 98 (75.5% of the PTB patients) were diagnosed with fibroadenoma or fibroepithelial lesions. The sensitivity of CNB at diagnosing benign, borderline, and malignant phyllodes tumors were 4.9% (2/41), 4.2% (3/71), and 25.0% (4/16), respectively, whereas the corresponding specificity were 92.0%, 98.2%, and 100%, respectively. Some clinical features, such as large tumor size, rapid growth, or surgical history of fibroadenomas, were indicative of an increased possibility of PTB.

Conclusions: CNB provides a pathological basis for the preoperative diagnosis of PTB, but it has a poor accuracy and offers limited guidance for surgical decisions. Considering CNB along with multiple histologic features may improve the ability to accurately diagnose PTB. An integrated assessment using CNBs in combination with clinical data and imaging features is suggested as a reliable strategy to assist PTB diagnosis.

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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5179415PMC
http://dx.doi.org/10.21037/jtd.2016.10.109DOI Listing

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