Interobserver Agreement in Histopathologic Diagnosis of Skin Lesions

Background: The concept of obtaining a second opinion is very popular in anatomical pathology, and multiple studies have shown its cost-effective benefits. This study aimed to determine the diagnostic discrepancy rate in skin biopsies in general pathology practice between first and second pathologists. Materials and Methods: A retrospective study was conducted on 760 consecutive patients who underwent skin biopsies and subsequent pathologic review over a one-year period. Based on the initial pathologist’s diagnosis, histopathological findings were primarily categorized as neoplastic or non-neoplastic. Neoplastic lesions were further divided into benign or malignant. A second pathologist reviewed all slides after codifying and without knowing the original diagnosis. Finally, the diagnoses provided by both pathologists were compared. Results: According to a primary pathologist, 243 cases (31.97%) were non-neoplastic and 517 (68.02%) were neoplastic. Of the 517 neoplastic lesions, 218 cases (42.16%) were benign and 299 (58.83%) were malignant. The major discrepancies were observed in 1.23%, 5.5%, and 1.01% of non-neoplastic, benign neoplastic, and malignant neoplastic groups, respectively. Kappa coefficient was 0.908 for non-neoplastic, 0.857 for benign, and 0.878 for malignant lesions. Conclusion: There was a high level of interobserver concordance in the histopathologic diagnosis of skin lesions in our study. We concluded that routine re-evaluation of all skin biopsies by a second pathologist may not be generally recommended except for cases needing aggressive therapeutic interventions to improve patient outcomes and quality of life.

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Publication Details

Journal
hormozgan medical journal
Published
2025-04-15
DOI
https://doi.org/10.34172/hmj.8180
Primary Topic
AI in cancer detection
Type
article
Field-Weighted Citation Impact
0.00

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article

Interobserver Agreement in Histopathologic Diagnosis of Skin Lesions

Ata Abbasi, Siamak Naji, Fariba Abbasi, M. Safa et al.
hormozgan medical journal
AI in cancer detection
article

Interobserver Agreement in Histopathologic Diagnosis of Skin Lesions

Ata Abbasi, Siamak Naji, Fariba Abbasi, M. Safa, Hadis Kheradju
article en

Abstract

Background: The concept of obtaining a second opinion is very popular in anatomical pathology, and multiple studies have shown its cost-effective benefits. This study aimed to determine the diagnostic discrepancy rate in skin biopsies in general pathology practice between first and second pathologists. Materials and Methods: A retrospective study was conducted on 760 consecutive patients who underwent skin biopsies and subsequent pathologic review over a one-year period. Based on the initial pathologist’s diagnosis, histopathological findings were primarily categorized as neoplastic or non-neoplastic. Neoplastic lesions were further divided into benign or malignant. A second pathologist reviewed all slides after codifying and without knowing the original diagnosis. Finally, the diagnoses provided by both pathologists were compared. Results: According to a primary pathologist, 243 cases (31.97%) were non-neoplastic and 517 (68.02%) were neoplastic. Of the 517 neoplastic lesions, 218 cases (42.16%) were benign and 299 (58.83%) were malignant. The major discrepancies were observed in 1.23%, 5.5%, and 1.01% of non-neoplastic, benign neoplastic, and malignant neoplastic groups, respectively. Kappa coefficient was 0.908 for non-neoplastic, 0.857 for benign, and 0.878 for malignant lesions. Conclusion: There was a high level of interobserver concordance in the histopathologic diagnosis of skin lesions in our study. We concluded that routine re-evaluation of all skin biopsies by a second pathologist may not be generally recommended except for cases needing aggressive therapeutic interventions to improve patient outcomes and quality of life.

hormozgan medical journalVol. 29(2)
Urmia University (IR), Urmia University of Medical Sciences (IR)
Urmia University, Urmia University of Medical Sciences
Openalex Percentile: Top 89%
AI in cancer detection
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