Related Experiment Video
Updated: Jul 26, 2026

Using 22C3 Anti-PD-L1 Antibody Concentrate on Biopsy and Cytology Samples from Non-small Cell Lung Cancer Patients
Published on: September 25, 2018
[Quality assurance for histodiagnosis and cytodiagnosis with a model of proficiency testing]
M Takahashi1, O Shimada, K Shirasawa
1SRL Cytopath Science, Hachioji.
Abstract:
A quality assurance (QA) program for histopathology and cytology has not yet been completed although an inhouse quality control for technical standardization is being tested. The fact that a strict Performance Improvement Program of CAP (College of American Pathologists) for cytology is required separately from other laboratory tests emphasizes the importance of cytology, since erroneous cytology reports would directly cause incorrect clinical diagnosis. The results of questionnaires gathered by the QA Committee of the Japan Association of Registered Clinical Laboratories on preparation techniques, workload limits of pathologists and technologists, double diagnostic systems, error detection programs, and specialization of personnel are presented. In addition to pathology and cytology proficiency testing provided by CAP survey, a model of blind QC (quality control) in our laboratory is discussed; for diagnostic standardization of histopathology, reexamination of randomly selected cases by another pathologist and reexamination of previously diagnosed cases by the same doctor are periodically performed. For error detection of cytoscreening, cytologists are obligated to reexamine random samples of 1 to 10% of negative gynecological slides. Evaluation of sufficiency of slides as required by the Bethesda System is referred to diagnostic interpretation.
More Related Videos
Related Concept Videos
Quality Control
Quality control helps track data, visualize trends, and identify variations, making it easier to detect deviations that may affect the accuracy of an analysis. One way to do this is by generating a quality control chart, which...
Quality Assurance
Accuracy and Errors in Hypothesis Testing
In hypothesis testing, the probability of making a Type I error, denoted as α, is commonly set at 0.05. This significance level indicates a 5% chance...
Automated Microbial Diagnostics

