Evidence map›Paper›PMID 35573260›Full record

ArticleCancer management and research2022

Risk of Malignancy in Breast FNAB Categories, Classified According to the Newly Proposed International Academy of Cytology (IAC) Yokohama System.

Mahwish Niaz, Azmat Ali Khan, Safina Ahmed, Rabia Rafi, Hassan Salim, Kashaf Khalid, Faiza Kazi, Awais Anjum, Yasir Waheed

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Article in Cancer management and research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 28% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 5 institutions in 2 countries.

Mahwish NiazDepartment of Pathology, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan.
Azmat Ali KhanPharmaceutical Biotechnology Laboratory, Department of Pharmaceutical Chemistry, College of Pharmacy, King Saud University, Riyadh, Saudi Arabia.ORCID 0000-0001-5955-3783
Safina AhmedDepartment of Pathology, Shifa Tameer-e-Millat University, Islamabad, Pakistan.
Rabia RafiDepartment of Pathology, Isfand Bukhari District Hospital, Attock, Pakistan.
Hassan SalimDepartment of Medicine, Fauji Foundation Hospital, Rawalpindi, Pakistan.
Kashaf KhalidClinical and Biomedical Research Center, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan.
Faiza KaziDepartment of Pathology, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan.
Awais AnjumParkinElmer Inc., Newport, UK.
Yasir WaheedClinical and Biomedical Research Center, Foundation University Medical College, Foundation University Islamabad, Islamabad, Pakistan.ORCID 0000-0002-5789-4215
Foundation University Islamabad · PKFoundation University Medical College · PKKing Saud University · SAPakistan Atomic Energy Commission · PKShifa Tameer-e-Millat University · PK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: A new category system comprising five classes (C1-insufficient material, C2-benign, C3-atypical, C4-suspicious, and C5-malignant) has been proposed by the International Academy of Cytology (IAC) for fine needle aspiration biopsy cytology (FNAB) for proper diagnosis of breast cancer. Aims and Objectives: This study is designed to categorize institutional FNAB data according to the new system and calculation of the absolute risk of malignancy (ROM), sensitivity, specificity, positive predictive values, false negative and false-positive rate. Study Design: We conducted a retrospective cross-sectional study involving 2133 cases collected between June, 2008 and August, 2019, at Foundation University Medical College's Department of Histopathology and the Surgery and Oncology Department at the Fauji Foundation Hospital. All cases fulfilling the inclusion and exclusion criteria were retrieved from the archives and reviewed by two expert pathologists. Matching histopathology was compared with the cytology reports for concordance or discordance of results. Findings: We found 6.9% (n = 147) insufficient, 65.8% (n = 1403) benign, 7.2% (n = 153) atypical, 7.5% (n = 160) suspicious and 12.6% (n = 270) malignant cases. Cyto-histological correlation was found in 421 cases from the year 2014 to 2019 with 370 concordant and 51 discordant cases. The maximum number of concordant cases was 151 in the C5 category and discordant cases had a diagnosis of C3 and C4 on cytology with 16 cases in each category. The calculated values of ROM were 45.45%, 10.3%, 30.6%, 82.79% and 99.34% from C1 to C5, respectively. We calculated 83.42% absolute sensitivity and 85.24% specificity. The positive predictive value for category 3, 4 and 5 was 67.34%, 82.7% and 99.34%, respectively, while false-negative rate was 7.9% and false-positive rate was 0.66%. Conclusion: The ROM for C1 category calculated from this study is quite high (45.45%) compared to previous studies; therefore, it is recommended to perform core needle biopsy in all these cases. The higher sensitivity and specificity of this method of diagnosing malignant lesions supports its use.

Indexed as

benigncore needle biopsyfine needle aspiration biopsyIAC Yokohama systemrapid onsite evaluationrisk of malignancy

Identifiers

PMID35573260
PMCPMC9093610
OpenAlexW4229041811

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.