Aims: To explore the usefulness of a new binary system of grading dysplasia proposed by the World Health Organization and to identify significant risk factors for malignant transformation in a long-term follow-up cohort of patients with oral epithelial dysplasia.
Methods And Results: A total of 138 patients with histologically confirmed oral dysplasia between 1978 and 2008 were reviewed retrospectively in our department. The mean follow-up period was 5.1 years. Of these dysplasias, 37 (26.8%) developed into cancer, with a mean duration of 4.6 years. Cox regression analysis revealed that high-grade dysplasia was an independent risk factor for transition, but age, gender, lesion site, diet habit, smoking and alcohol intake were not risk factors. High-grade dysplasia was associated with a 2.78-fold (95% confidence interval 1.44-5.38; P = 0.002) increased risk of transition, as compared with low-grade dysplasia. Consistently, high-grade dysplasia had a significantly higher incidence of malignancy than low-grade dysplasia by Kaplan-Meier analysis (log-rank test, P = 0.001).
Conclusions: The utilization of high-grade dysplasia as a significant indicator for evaluating malignant transformation risk in patients with potentially malignant lesions is suggested; this may be helpful to guide treatment selection in clinical practice.
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http://dx.doi.org/10.1111/j.1365-2559.2011.03938.x | DOI Listing |
Clin Cancer Res
January 2025
University Medical Center Groningen, Groningen, Netherlands.
Purpose: Human papillomavirus (HPV) infection is the major cause of (pre)malignant cervical lesions. We previously demonstrated that Vvax001, a replication-incompetent Semliki Forest virus (SFV) vaccine encoding HPV type 16 (HPV16) E6 and E7, induced potent anti-E6 and -E7 cytotoxic T-cell responses. Here, we investigated the clinical efficacy of Vvax001 in patients with HPV16-positive cervical intraepithelial neoplasia grade 3 (CIN3).
View Article and Find Full Text PDFKorean J Gastroenterol
January 2025
Department of Internal Medicine, School of Medicine, Kyung Hee University, Seoul, Korea.
Background/aims: Studies on the clinical outcomes after detecting low-grade dysplasia (LGD) in patients with inflammatory bowel disease (IBD) are insufficient. This study evaluated the clinical features, frequency, and risk factors for advanced neoplasia in patients with IBD after an LGD diagnosis.
Methods: The medical records of 166 patients with IBD from six university hospitals in Korea from 2010 to 2019 were reviewed retrospectively.
Introduction: Inflammatory bowel disease (IBD) patients have an increased risk of developing colorectal cancer. High-risk colorectal colitis-associated neoplasia (HR-CAN) can be difficult to treat using traditional endoscopic resection methods. Aim of the study is to evaluate the outcomes of endoscopic submucosal dissection (ESD) on IBD patients with HR-CANs.
View Article and Find Full Text PDFBMC Womens Health
January 2025
Hunan Provincial Key Laboratory of Regional Hereditary Birth Defects Prevention and Control, Changsha, China.
Background: Persistent infection with high-risk human papillomavirus (HPV) is a significant risk factor for cervical cancer. HPV typing and cytology are conducted in women of appropriate age to assess the risk of cervical lesions and to guide the need for further diagnostic procedures such as colposcopy, cervical biopsy, or treatment. This article explores methods to predict the risks of high-grade precancerous cervical lesions based on high-risk HPV typing.
View Article and Find Full Text PDFSci Rep
January 2025
Melbourne Dental School, University of Melbourne, Level 5, 720 Swanston Street, Carlton, Melbourne, VIC, 3053, Australia.
Oral cancer detection is based on biopsy histopathology, however with digital microscopy imaging technology there is real potential for rapid multi-site imaging and simultaneous diagnostic analysis. Fifty-nine patients with oral mucosal abnormalities were imaged in vivo with a confocal laser endomicroscope using the contrast agents acriflavine and fluorescein for the detection of oral epithelial dysplasia and oral cancer. To analyse the 9168 images frames obtained, three tandem applied pre-trained Inception-V3 convolutional neural network (CNN) models were developed using transfer learning in the PyTorch framework.
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