ReviewActa cytologica2026
Integration of Digital Cytology in Quality Assurance Programs for Cytopathology.
Review in Acta cytologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed.
- Diagnostic concordance of remote WSI-based thyroid cytology compared to conventional cytological diagnosis: a pilot study.Diagnostic pathology · 2026Article
- Pathology Foundation Models: Evolution, Current Landscape, Challenges and Opportunities from a Technical and Clinical Perspective.Bioengineering (Basel, Switzerland) · 2026Review
- Artificial Intelligence in Cervical Cytology: Opportunities and Limitations in Screening, Triage, and Diagnostic Support.Diagnostics (Basel, Switzerland) · 2026Review
- Explainable artificial intelligence with pyramid vision transformer model for multi-class malignant cell classification on cytology slides.Scientific reports · 2026Article
- Practice of Cytopathology in Korea: A 40-Year Evolution Through Standardization, Digital Transformation, and Global Partnership.Diagnostic cytopathology · 2026Review
- Quantitative Assessment of Focus Quality in Whole-Slide Imaging of Thyroid Liquid-Based Cytology Using Laplacian Variance.Endocrine pathology · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
<p>Background: Quality assurance (QA) and quality control (QC) are fundamental to maintaining high standards in cytopathologic diagnostics. The recent adoption of digital cytology (DC) has led to transformative changes in cytopathology workflows, including primary diagnosis, telecytopathology-based consultations, and rapid on-site evaluations (ROSEs). These technological developments call for a conceptual shift and redefinition of QA and QC frameworks in the DC era. Summary: This review explores the evolving landscape of QA and QC in cytopathology, with a focus on the integration of DC into existing quality systems. We examine the role of DC as both a QC tool and a platform for implementing DC-specific QA/QC protocols. Practical applications discussed include leveraging DC for conventional QA/QC tasks, such as education and training of laboratory staff and cytopathologists, and facilitating digital proficiency testing through cloud-based platforms. Additionally, we review current international recommendations for the adoption of DC in cytopathology and propose strategies for the safe and efficient management of digital environments. Key Messages: (i) DC is reshaping the practice of cytopathology and requires updated QA/QC strategies. (ii) DC can enhance QA/QC activities through improved training, proficiency testing, and collaborative diagnostics. (iii) The development and implementation of DC-specific protocols are essential for ensuring accuracy and reliability in digital cytopathologic practice. </p>.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.