This study was conducted to evaluate the diagnostic accuracy of the cervical biopsy under colposcopic vision. This retrospective study was performed on 190 women, who were selected from a total of 412 cases referring for colposcopy in one year. All patients underwent colposcopy and loop electrosurgical excision procedure (LEEP). After the investigation of demographic characteristics and data confirmation, colposcopic characteristics were examined. Then, the diagnostic indicators and diagnostic accuracy of the cervical biopsy under colposcopic vision were determined. The mean age of patients was 35.51± 5.91 years. In smokers, the percentage of cancer and CIN3 cases was higher than in normal individuals, and this difference was statistically significant in terms of the frequency of cancerous lesions (P = 0.2). A comparison of colposcopic biopsy with LEEP has shown that the frequency of advanced cases in LEEP has been detected more, and the correlation coefficient (kappa) indicated the weak agreement between the findings of colposcopically directed biopsy (CDB) and LEEP methods. (k = 0.23). The diagnostic accuracy of the cervical biopsy under colposcopic vision for cervical cancer is effectively high. It is recommended that this procedure be performed to diagnose cancerous lesions; however, contrary to what is seen in colposcopy, malignant cases may be spreading and follow-up of patients can affect therapeutic performance.
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http://dx.doi.org/10.4081/ejtm.2022.10670 | DOI Listing |
Sci Rep
December 2024
Department of Pharmaceutics, College of Pharmacy, University of Ha'il, Ha'il, 81442, Saudi Arabia.
This research article presents a thorough and all-encompassing examination of predictive models utilized in the estimation of viscosity for ionic liquid solutions. The study focuses on crucial input parameters, namely the type of cation, the type of anion, the temperature (measured in Kelvin), and the concentration of the ionic liquid (expressed in mol%). This study assesses three influential machine learning algorithms that are based on the Decision Tree methodology.
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December 2024
Department of Biochemistry and Molecular Biology, Medical University of Lublin, 20-093, Lublin, Poland.
Using Fourier Transform Infrared spectroscopy (FTIR), it is possible to show chemical composition of materials and / or profile chemical changes occurring in tissues, cells, and body fluids during onset and progression of diseases. For diagnostic application, the use of blood would be the most appropriate in biospectroscopy studies since, (i) it is easily accessible and, (ii) enables frequent analyses of biochemical changes occurring in pathological states. At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR.
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December 2024
Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, Canada.
Accurate diagnosis of oral lesions, early indicators of oral cancer, is a complex clinical challenge. Recent advances in deep learning have demonstrated potential in supporting clinical decisions. This paper introduces a deep learning model for classifying oral lesions, focusing on accuracy, interpretability, and reducing dataset bias.
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December 2024
Cereal Disease Laboratory, Agricultural Research Service, US Department of Agriculture, St. Paul, MN, 55108, USA.
Fusarium graminearum is a primary cause of Fusarium head blight (FHB) on wheat and barley. The fungus produces trichothecene mycotoxins that render grain unsuitable for food, feed, or malt. Isolates of F.
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December 2024
School of Pharmacy, Jiangxi Medical College, Nanchang University, Nanchang, 330006, People's Republic of China.
Cuproptosis, a newly identified form of cell death, has drawn increasing attention for its association with various cancers, though its specific role in colorectal cancer (CRC) remains unclear. In this study, transcriptomic and clinical data from CRC patients available in the TCGA database were analyzed to investigate the impact of cuproptosis. Differentially expressed genes linked to cuproptosis were identified using Weighted Gene Co-Expression Network Analysis (WGCNA).
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