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A Multi-Institutional Feasibility Study on the Use of Automated Screening Systems for Quality Control Rescreening of
Yuko Sugiyama1, Hiroshi Sasaki, Kyoko Komatsu
1The Japanese Society of Clinical Cytology Study Group on the Use of Automated Screening Systems for Quality Control Purposes regarding Cervical Cytology, Cancer Institute Hospital, Tokyo, Japan.
Acta Cytologica
|September 28, 2016
Summary
The FocalPoint automated system effectively rescreens cervical cytology, identifying 1.19% abnormal cases, including high-grade squamous intraepithelial lesions (HSIL+). This automated quality control (QC) improves cervical cancer screening accuracy.
Area of Science:
- Cytopathology
- Medical Diagnostics
- Cancer Screening
Background:
- Quality control (QC) in cervical cytology is crucial for accurate cancer screening.
- Automated systems offer potential for enhancing QC efficiency and effectiveness.
Purpose of the Study:
- To evaluate the efficacy of the FocalPoint automated screening system for cervical cytology quality control (QC) rescreening.
- To determine the false-negative rates (FNRs) associated with FocalPoint in a multi-institutional retrospective study.
Main Methods:
- A retrospective study involving 12,000 cervical cytology slides (conventional and liquid-based cytology - LBC).
- Slides initially reported as negative for intraepithelial lesion or malignancy (NILM) were subjected to FocalPoint rescreening.
- Slides identified by FocalPoint with the highest probability of abnormality were reviewed by cytotechnologists and cytopathologists to determine false negatives.
Main Results:
- Of 9,826 satisfactory slides, FocalPoint identified 117 (1.19%) as abnormal (other than NILM).
- The overall false-negative rate (FNR) was 1.19%.
- Among the abnormal slides, 40 (0.41%) were classified as high-grade squamous intraepithelial lesion and greater (HSIL+).
Conclusions:
- The FocalPoint automated system demonstrated effectiveness in the QC rescreening of cervical cytology slides.
- The system successfully identified a significant proportion of abnormal cases, including HSIL+, indicating its value in improving screening accuracy.
