Cytology Assay – mCyTEz
- AI-Enabled Molecular Cytology for Early Oral Cancer Detection
- Cytology Assay – mCyTEz
MSCTR | Cancer Research |Translational Research
The assays are designed to fit a hub-and-spoke care model, where initial screening can be performed in community or primary care settings, and high-risk cases are referred to specialized centers for confirmation and treatment. This approach expands access while ensuring timely expert care.
mCyTEz (Molecular Cytology Test using Explainable-AI) is a minimally invasive cytology assay for early detection and risk stratification of OPMDs and oral squamous cell carcinoma.
The multiplexed assay combines molecular biomarkers with AI-driven image analysis, using a dual-marker panel (CD44 and SNA-1 commercially available ) to capture dysplastic and malignant cellular changes. Automated image segmentation and classification enable objective assessment across cells and cell clusters.
By addressing the subjectivity and limited sensitivity of conventional cytology, mCyTEz demonstrates high performance in detecting high-grade dysplasia and early-stage oral cancer and is currently undergoing multi-centric clinical validation across leading institutions in India.
Minimally invasive, pathology-based approach
Detects high-risk lesion and early cancer
AI-enabled interpretation reduces observer variability
Sunny SP, D. R. R, Hariharan A, Mukhia N, Gurudath S, G. K, et al. (2023) CD44-SNA1 integrated cytopathology for delineation of high-grade dysplastic and neoplastic oral lesions.
https://doi.org/10.1371/journal.pone.0291972
Sunny SP, Khan AI, Rangarajan M, Hariharan A, Birur PN, Pandya HJ, Shah N, Kuriakose MA, Suresh A. Oral epithelial cell segmentation from fluorescent multichannel cytology images using deep learning. Computer Methods and Programs in Biomedicine. 2022;227:107205.
https://doi.org/10.1016/j.cmpb.2022.107205
Molecular Marker Based Oral Cytology For Detection Of Potentially Malignant And Malignant Oral Lesion (No :391264)
