Evidence map›Paper›PMID 40520668›Full record

ArticleJournal of cytology

The Impact of International Academy of Cytology Yokohama System in Breast Fine-Needle Aspiration Biopsy Cytology and its Correlation With BI-RADS: A 6-Year Single-Institutional Experience.

Priyanka Munjal, Meeta Singh, Vipul Ranjan Bhatt, Rashmi Gautam, Ankita, Gurmeet Singh, Nita Khurana, Shyama Jain, Nidhi Verma, Lovenish Bains and 4 more

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Article in Journal of cytology. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Priyanka MunjalDepartment of Pathology, ESIC Hospital & PGIMSR, Basaidarapur, New Delhi, India.
Meeta SinghDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Vipul Ranjan BhattDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Rashmi GautamDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
AnkitaDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Gurmeet SinghDepartment of Preventive and Social Medicine, Maulana Azad Medical College, New Delhi, India.
Nita KhuranaDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Shyama JainDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Nidhi VermaDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Lovenish BainsDepartment of Surgery, Maulana Azad Medical College, New Delhi, India.
Lavanya GoelDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Ritwik BawejaDepartment of Pathology, Maulana Azad Medical College, New Delhi, India.
Radhika BatraDepartment of Radiology, Maulana Azad Medical College, New Delhi, India.
Pawanindra LalDepartment of Surgery, Maulana Azad Medical College, New Delhi, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The International Academy of Cytology (IAC) Yokohama System has developed a standardized system of reporting breast cytology. The current study aimed to apply the newly proposed YOKOHAMA classification system along with American College of Radiology Breast Imaging Reporting and Data system (ACR-BI-RADS) scoring to breast fine-needle aspiration cytology (FNAC) cases from the department archives and to assess the risk of malignancy (ROM) for each category. Materials and Methods: All breast FNACs done between January 20017 and June 2023 were reclassified according to the proposed IAC Yokohama reporting system. Histopathological correlation of the IAC Yokohama system and BI-RADS was done wherever available. A three-category approach was followed based on benign versus malignant, and sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were calculated using histopathology as the gold standard. Results: A total of 2130 breast FNACs were performed, of which 469 had a histopathological correlation and 892 had a BI-RADS correlation. The ROM for insufficient, benign, atypical, suspicious, and malignant categories were 29.16%, 3.28%, 28.57%, 100%, and 92.18%, respectively. Maximum specificity (96.8%) was observed when only malignant (cat A) and when both suspicious and malignant cases (Cat B) were taken as positive test results. Highest sensitivity (92.7%) was achieved when atypical, suspicious, and malignant cases were taken as positive test results (Cat C) and highest diagnostic accuracy (94.8%) was seen in category B. The sensitivity, specificity, PPV, NPV, and diagnostic accuracy of BI-ADS were 78.67%, 92%, 85.5%, 87.8%, and 87%, respectively. Conclusion: FNAC and imaging are the key modalities for diagnosing breast lesions. The IAC Yokohama system along with ACR-BI-RADS provides a simple yet useful approach for effectively categorizing the different breast lesions, which is useful for patient management and risk stratification.

Indexed as

Acknowledgments-nonebreast cancerFNACrisk of malignancy

Identifiers

PMID40520668
PMCPMC12165619

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