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Background: Comparative performance of various ultrasound models in diagnosing ovarian lesions has not been adequately studied. This study aimed to evaluate the diagnostic performance of the International Ovarian Tumor Analysis (IOTA) simple rules and Assessment of Different NEoplasias in the adneXa (ADNEX) models in women with ovarian lesions.
Methods: Women 18-80 years, with an ovarian lesion planned for surgery were recruited in this prospective observational cohort study. Preoperative risk stratification was done by both IOTA simple rules and the ADNEX model. The diagnostic performance of both models was estimated using histopathology as the gold standard.
Results: A total of 90 women were recruited into the study. The IOTA simple rules were applicable to 77 (85.5%) participants and the ADNEX model on 100% women. Both the simple rules and the ADNEX model had good diagnostic performance. The sensitivity and specificity of the IOTA simple rules for predicting malignancy was 66.6% and 91%, while that of the ADNEXA model was 80% and 94%, respectively. The maximum diagnostic accuracy for prediction of both benign and malignant tumors was obtained when cancer antigen-125 (CA-125) was combined with the IOTA ADNEX model (91.0%), but for Stage I malignancy, the maximum diagnostic accuracy was for ADNEX without CA-125 (91.0%).
Conclusion: Both the IOTA models have a good diagnostic accuracy and are of paramount importance in differentiating benign from malignant tumors and predicting the stage of the malignant disease.
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http://dx.doi.org/10.1089/whr.2022.0072 | DOI Listing |
Langmuir
September 2025
Department of Mechanical and Industrial Engineering, Montana State University, Bozeman, Montana 59717, United States.
Global challenges posed by freshwater scarcity and the water-energy nexus drive demand for novel macromolecular design of tailored nanostructures endowed with a variety of hydrophilic and hydrophobic features. Offering potential to meet this demand, metal-organic framework (MOF) materials are synthesized from coordinated formations that create versatile reticular structures with variable water adsorption affinities. However, advances in the fundamental understanding of water interactions within these structures are impeded by the failure of classical analyses to identify mechanisms of interaction, connect fundamental isotherm types, and provide appropriate benchmarks for assessment.
View Article and Find Full Text PDFBMJ Public Health
August 2025
Hamilton Social Medicine Response Team, Hamilton, Ontario, Canada.
Introduction: Emergency shelters offer temporary accommodation to people deprived of housing. Service restriction is the practice of limiting or denying access to emergency shelters in response to behaviours deemed harmful to staff, community members or other clients. This community-based qualitative study describes the characteristics, healthcare utilisation and morbidity of people experiencing service restrictions.
View Article and Find Full Text PDFChaos
September 2025
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI), Leipzig University, Leipzig, Germany.
Machine learning (ML) is widely used to model chaotic systems. Among ML approaches, echo state networks (ESNs) have received considerable attention due to their simple construction and fast training. However, ESN performance is highly sensitive to hyperparameter choices and to its random initialization.
View Article and Find Full Text PDFPLoS Comput Biol
September 2025
Australian Research Data Commons (ARDC), Melbourne, Victoria, Australia.
Cranio
September 2025
Department of Neurosciences, University of Padua, Padua, Italy.
Background: Alternobaric facial palsy (AFP) is a rare peripheral facial nerve palsy resulting from transient neurapraxia when sudden ambient-pressure changes disrupt middle-ear equilibrium. Common precipitants include scuba diving, air travel, and altitude. AFP triggered by routine activities is exceedingly uncommon.
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