Related Experiment Video
Updated: Nov 26, 2025
A Rapid Method for Multispectral Fluorescence Imaging of Frozen Tissue Sections
Published on: March 30, 2020
The Diagnostic Accuracy of Frozen Section Compared to Permanent Section: Single Center Study
1Department of Pathology, Kathmandu University School of Medical Sciences, Dhulikhel, Kavre, Nepal.
This study evaluated how accurate frozen section analysis is compared to permanent section analysis in diagnosing tissue samples. The research focused on 47 cases from a single hospital, comparing intraoperative frozen section results with final diagnoses from permanent sections. The overall accuracy was found to be 91.4%, with 8.5% of cases showing false negatives and no false positives. The study also calculated diagnostic metrics like sensitivity, specificity, and predictive values. The authors suggest that pathologist experience may influence diagnostic accuracy and that training could help reduce errors. These findings provide insights into the reliability of frozen section analysis in surgical decision-making.
Area of Science:
- Pathology diagnostic techniques
- Surgical pathology outcomes research
Background:
Frozen section analysis is a key diagnostic tool during surgery, but its accuracy varies by anatomical site and pathology expertise. Prior research has shown that frozen sections are widely used for intraoperative decision-making, especially in cancer cases. However, the exact accuracy rates remain unclear in certain settings. This gap motivated the study to assess diagnostic accuracy at a single hospital. No prior work had resolved the error rates specific to this institution. The study aimed to address this uncertainty by comparing frozen section results with final permanent section diagnoses. The goal was to evaluate diagnostic reliability in a real-world clinical context. This approach allows for a localized assessment of diagnostic performance. The findings could help refine surgical decision-making protocols.
Purpose Of The Study:
The study aimed to evaluate the diagnostic accuracy of frozen section analysis at a single hospital by comparing it with permanent section results. The focus was on determining how often frozen section results matched the final diagnosis. This comparison helps identify potential diagnostic discrepancies. The study also sought to calculate sensitivity, specificity, and predictive values. These metrics provide a quantitative measure of diagnostic accuracy. The motivation was to assess whether frozen section performance met international standards. The hospital's specific error rate was of particular interest. This data could inform training and procedural improvements.
Main Methods:
The study used a retrospective design at Dhulikhel Hospital. A total of 47 frozen section cases were reviewed. The time frame covered January 2017 to December 2018. Each case was compared with its corresponding permanent section diagnosis. No cases were deferred for paraffin section analysis. The primary outcome was diagnostic agreement between the two methods. Secondary outcomes included sensitivity, specificity, and predictive values. Data collection focused on anatomical site and diagnostic category.
Main Results:
The overall diagnostic accuracy of frozen sections was 91.4% (43 cases). Four cases (8.5%) were discordant, reported as false negatives. No false positives were recorded in the study period. Sensitivity was measured at 85.18% compared to permanent sections. Specificity reached 100% in this cohort. Positive predictive value was also 100%. Negative predictive value was 83.33%. The highest agreement occurred in neoplasm typing cases.
Conclusions:
The diagnostic accuracy of frozen sections at this hospital was 91.4%. This rate is comparable to national and international benchmarks. However, the error rate was higher than previously reported studies. The absence of false positives is a notable finding. Sensitivity and specificity metrics support clinical utility. The study highlights the importance of pathologist expertise. Training and experience may reduce diagnostic errors. These findings suggest room for quality improvement initiatives.
Frequently Asked Questions
The study found 91.4% diagnostic accuracy of frozen sections compared to permanent sections, with 8.5% false negatives and no false positives.
Neoplasm typing was the most common indication (80.75%), followed by margin clearance (17%) and Hirschsprung's disease diagnosis (2.1%).
All 47 cases were evaluated using frozen sections, and none required deferral to permanent section analysis during the study period.
Sensitivity (85.18%), specificity (100%), positive predictive value (100%), and negative predictive value (83.33%) were calculated using frozen section results.
The 8.5% error rate is higher than previously published studies, suggesting room for improvement in diagnostic accuracy.
The authors propose that pathologist experience and training may reduce diagnostic error rates, based on the observed discrepancy between this study and prior reports.
