CoChat
Sign Up
Cited by 21Breast Lesions and CarcinomasAI in cancer detectionBreast Cancer Treatment Studies

Concordance of breast fine needle aspiration cytology interpretation with subsequent surgical pathology: An 18‐year review from a single sub‐Saharan African institution

McHugh, Kelsey E., Bird, Peter, Sturgis, Charles D.·2019·Cytopathology
DOI 10.1111/cyt.12696
Open this paper in CoChat — free account

Abstract

Introduction: There are many merits to fine needle aspiration cytology (FNAC) in evaluation of palpable breast lesions. We set out to determine the concordance of breast FNAC interpretation with subsequent surgical pathology in the resource‐limited healthcare setting of rural Kenya. Methods: African Inland Church Kijabe Hospital electronic pathology files were retrospectively reviewed from 1/1999‐9/2017. All breast FNAC cases and subsequent surgical pathology specimens were identified. FNAC interpretations were categorised according to the International Academy of Cytology Yokohama codes: insufficient; benign; atypical favour benign; suspicious favour malignant; and malignant. Surgical pathology results were categorised as benign or malignant. Results: In total, 695 breast FNAC s were identified. A total of 219 (31.5%) had subsequent surgical pathology. Average patient age was 39 years (range 13‐88); 95% were female. Nearly all (98%) lesions were palpable. FNAC interpretive categorisation was as follows: 20 (9%) insufficient, 103 (47%) benign, 16 (7%) atypical, 24 (11%) suspicious and 56 (26%) malignant. On histopathology, there were 141 (64%) benign cases and 78 (36%) malignancies (Table 1). The sensitivity of FNAC for detecting malignancy was 85%; specificity was 75%. Positive and negative predictive values were 69% and 88%. Diagnostic concordance between FNAC and histopathology was 79%. For definitively diagnostic FNAC categories, diagnostic concordance was 89%. On histopathology, malignant diagnoses were given in 0 insufficient, 12 (12%) benign, 4 (25%) atypical, 11 (46%) suspicious and 51 (91%) malignant cases. There were five false‐positive cytopathology interpretations and 12 false‐negatives. Conclusions: FNAC remains a valuable tool in evaluation of palpable breast lesions in resource‐limited healthcare settings.

Integrity signals

Registry

Crossref · 10.1111/cyt.12696

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • FNAB has been further implemented in numerous LMICs for diagnosis and guiding clinical management of palpable breast lesions.

    “With the success of the FNAB in diagnosis and guiding clinical management of palpable breast lesions, this biopsy method has been further implemented in numerous LMICs.[30][31][32][33][34][35]”

    From Fine needle aspiration biopsy in low‐ and <scp>middle‐income</scp> countries (2024) · cites this paper as [34]

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Related

Authors
McHugh, K. E., Bird, P., & Sturgis, C. D.
Affiliations
  • Cleveland Clinic (US)
  • Kijabe Hospital (KE)
Corresponding author
McHugh, Kelsey E.
ORCID
Venue
Cytopathology
Publisher
Wiley
Published
2019-04-22
Volume
30
Issue
5
Pages
519-525
ISSN
  • 0956-5507 (ISSN-L)
  • 1365-2303
DOI
10.1111/cyt.12696
OpenAlex
W2928566108
Cited by
21
References
48
Citations by year
2026: 1 · 2025: 4 · 2024: 4 · 2023: 2 · 2022: 4 · 2021: 4 · 2020: 2
FWCI
1.84
Type
journal article
Language
en
Open access
closed
Licence
onlinelibrary.wiley.com/termsAndConditions#vor (vor)
Locations
  • Cytopathology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
  • Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
Keywords
breast fine needle aspiration cytology, diagnostic agreement, surgical pathology, breast cancer diagnosis, palpable breast lesions, diagnostic accuracy, resource-limited settings, rural Kenya
MeSH terms
Adenoma, Adolescent, Adult, Aged, Aged, 80 and over, Breast, Breast Neoplasms, Cytodiagnosis, Female, Humans, Middle Aged, Africa South of the Sahara, Biopsy, Fine-Needle, Young Adult

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review