Evidence map›Paper›PMID 42022041›Full record

ArticleCytoJournal2026

Diagnostic accuracy of the Yokohama system for reporting breast fine-needle aspiration cytology and breast imaging-reporting and data system in breast lesions.

Shakthivel V, Sana Ahuja, Sufian Zaheer, Swarna Swarna, Mukul Singh, Chintamani Chintamani

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Article in CytoJournal, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Shakthivel VDepartment of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Sana AhujaDepartment of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Sufian ZaheerDepartment of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Swarna SwarnaDepartment of Radiology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Mukul SinghDepartment of Pathology, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.
Chintamani ChintamaniDepartment of Surgery, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The Yokohama system standardizes fine-needle aspiration cytology (FNAC) reporting for breast lesions, while the breast imaging-reporting and data system (BI-RADS) categorizes lesions based on imaging risk assessment. This study aimed to evaluate the diagnostic accuracy of FNAC using the Yokohama System in correlation with BI-RADS classifications. Material and Methods: A retrospective analysis was conducted on 188 breast lesion cases that underwent FNAC and were categorized using the BI-RADS system. The breast FNAs were classified according to the Yokohama System and compared with histopathological diagnoses to calculate the risk of malignancy (ROM). The ROM for the BI-RADS categories was also determined. Sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for both. Results: According to the Yokohama classification, 5.9%, 52.1%, 4.8%, 8.5%, and 28.7% were classified as non-diagnostic, benign, atypical, suspicious, and malignant, respectively. The majority of cases were classified as BIRADS 3 (23.9%) and 5 (23.9%), followed by 4a (22.3%). Higher Yokohama and BI-RADS categories were more prevalent among malignant cases, with 64.9% in Yokohama category 5 and 51.9% in BI-RADS 5. Sensitivity was highest in Yokohama Scenario C (81.8%), while specificity (96.4%) and PPV (92.6%) were highest in Scenario A. When BI-RADS 4b, 4c, 5, and 6 were considered malignant, Scenario C had the highest sensitivity (87.0%) and NPV (90.4%), while Scenario B demonstrated the highest diagnostic accuracy (87.7%). Conclusion: FNAC using the Yokohama System and imaging-based BI-RADS classification both show high diagnostic accuracy for breast lesions. While their individual performance is comparable, further studies are needed to explore whether combining these modalities improves diagnostic outcomes in clinically indeterminate cases.

Indexed as

BreastBreast imaging-reporting and data systemRisk of malignancySensitivityYokohama

Identifiers

PMID42022041
PMCPMC13098381

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