Association of the International Academy of Cytology category with the Breast Imaging Reporting and Data System score in relation to the diagnostic accuracy for breast lumps

Authors

  • Subhashish Das Das Department of Pathology, Sri Devaraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India
  • Kalyani Raju Department of Pathology, Sri Devaraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India https://orcid.org/0000-0003-1090-0558
  • Amrutha Tunuguntla Tunuguntla Department of Pathology, Sri Devaraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India
  • Anil Kumar Sakalecha Department of Radiodiagnosis, Sri Devaraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India
  • Sreeramulu Patrapalli Nadipanna Department of Surgery, Sri Devaraj Urs Medical College, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, Karnataka, India

DOI:

https://doi.org/10.15419/bmrat.v9i10.771

Keywords:

Breast lump, breast cancer, BIRADS, IAC category

Abstract

Background: Breast lumps are the commonest patient presentation in breast clinics. Initial diagnostic approaches, such as mammography and fine needle aspiration cytology (FNAC), help in prompting proper preoperative diagnosis and planning management.

Methods: This retrospective study included all patients who presented with breast lumps and underwent breast imaging (with Breast Imaging Reporting and Data System [BIRADS] scoring) and FNAC (with International Academy of Cytology [IAC] category assessment) in our hospital. The IAC category was compared with the BIRADS score. The FNAC and mammographic findings were compared with available histopathological findings. Data were entered into MS Excel worksheets, and statistical analysis was conducted using SPSS 22.0.

Results: A total of 60 patients were included in the study. The mean patient age was 40.11 years. Of the 60 cases, 35 benign cases and 15 malignant cases were concordant with the diagnosis according to the BIRADS score and IAC category. The association between the BIRADS score and IAC category was significant (p = 0.004). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of the BIRADS score in diagnosing breast lesions were 85.37%, 78.95%, 89.74%, 71.43%, and 83.33%, respectively, compared with those of the IAC category. The sensitivity, specificity, PPV, NPV, and accuracy of the IAC category were 82.35%, 92.31%, 93.33%, 80.0%, and 86.67%, respectively, compared with those of the available histopathological findings. The sensitivity, specificity, PPV, NPV, and accuracy of the BIRADS score were 76.92%, 76.47%, 71.43%, 81.25%, and 76.67%, respectively, compared with those of the available histopathological findings.

Conclusion: FNAC with IAC category assessment and mammography with BIRADS scoring can be used as first-line diagnostic tests for breast lumps. However, FNAC is more sensitive in diagnosing breast lumps than mammography.

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Published

2022-10-29

Issue

Section

Original Research

How to Cite

Association of the International Academy of Cytology category with the Breast Imaging Reporting and Data System score in relation to the diagnostic accuracy for breast lumps. (2022). Biomedical Research and Therapy, 9(10), 5332-5340. https://doi.org/10.15419/bmrat.v9i10.771

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