Non-Invasive Screening of AI-Assisted DNA Aneuploidy Cytology by Image Cytometry for the Early Diagnosis of Malignant Transformation of OPMDs.
Artificial intelligence-assisted DNA cytology detected oral dysplasia with AUC of 0.840
Non-Invasive Screening of AI-Assisted DNA Aneuploidy Cytology by Image Cytometry for the Early Diagnosis of Malignant Transformation of OPMDs.
Oral exfoliative DNA aneuploidy cytology by image cytometry (DNA-ICM) has been introduced for the early diagnosis of malignant transformation.
This study aimed to investigate the optimal cut-off values of DNA content and assess the diagnostic accuracy of artificial intelligence (artificial intelligence)-assisted DNA-ICM for detecting the risk of malignant transformation in oral potentially malignant disorders (oral potentially malignant disorders).
In this study, both oral exfoliative cytobrushing and surgical biopsy samples were obtained from 415 patients with oral potentially malignant disorders and then allocated by artificial intelligence-assisted DNA-ICM and histopathological examination, respectively.
AUROC 0.840 for detecting dysplasia, closer to 1.0 means better discrimination
For the DNA content ≥6.2c, the AUC was 0.766 (sensitivity, 80.52%; specificity, 64.38%) for detecting carcinoma from oral potentially malignant disorders.
Notably, OR analysis by logistic regression suggested that ages ≥60 years and the areca nut chewing habit were significantly associated with dysplasia or worse in oral potentially malignant disorders.
In addition, DNA aneuploidy criteria and their diagnostic accuracy vary among different subtypes of oral potentially malignant disorders.
This diagnostic study optimised the criteria of DNA aneuploidy cytology for detecting malignant transformation of oral potentially malignant disorders.
artificial intelligence-assisted DNA-ICM may be an efficient noninvasive diagnostic tool for screening different high-risk oral potentially malignant disorders and early-stage oral cancers.