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Cervical cell lift: A novel triage method for the spatial mapping and grading of precancerous cervical lesions
- Source :
- EBioMedicine, Vol 82, Iss , Pp 104157- (2022)
- Publication Year :
- 2022
- Publisher :
- Elsevier, 2022.
-
Abstract
- Summary: Background: Primary HPV screening, due to its low specificity, requires an additional liquid-based cytology (LBC) triage test. However, even with LBC triage there has been a near doubling in the number of patients referred for colposcopy in recent years, the majority having low-grade disease. Methods: To counter this, a triage test that generates a spatial map of the cervical surface at a molecular level has been developed which removes the subjectivity associated with LBC by facilitating identification of lesions in their entirety. 50 patients attending colposcopy were recruited to participate in a pilot study to evaluate the test. For each patient, cells were lifted from the cervix onto a membrane (cervical cell lift, CCL) and immunostained with a biomarker of precancerous cells, generating molecular maps of the cervical surface. These maps were analysed to detect high-grade lesions, and the results compared to the final histological diagnosis. Findings: We demonstrated that spatial molecular mapping of the cervix has a sensitivity of 90% (95% CI 69-98) (positive predictive value 81% (95% CI 60-92)) for the detection of high-grade disease, and that AI-based analysis could aid disease detection through automated flagging of biomarker-positive cells. Interpretation: Spatial molecular mapping of the CCL improved the rate of detection of high-grade disease in comparison to LBC, suggesting that this method has the potential to decisively identify patients with clinically relevant disease that requires excisional treatment. Funding: CRUK Early Detection Project award, Jordan-Singer BSCCP award, Addenbrooke's Charitable Trust, UK-MRC, Janssen Pharmaceuticals/Advanced Sterilisation Products, and NWO.
Details
- Language :
- English
- ISSN :
- 23523964 and 07303866
- Volume :
- 82
- Issue :
- 104157-
- Database :
- Directory of Open Access Journals
- Journal :
- EBioMedicine
- Publication Type :
- Academic Journal
- Accession number :
- edsdoj.0730386696d4a3ea2475e99548ec729
- Document Type :
- article
- Full Text :
- https://doi.org/10.1016/j.ebiom.2022.104157