Related Experiment Video
Updated: Jan 19, 2026
An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
Published on: November 28, 2010
Diagnostic value of the International Ovarian Tumor Analysis (IOTA) simple rules versus pattern recognition to
Dina M R Dakhly1, Hassan M Gaafar1, Mona M Sediek1
1Department of Obstetrics and Gynecology, Cairo University, Giza, Egypt.
Objective:
To compare the efficacy of the International Ovarian Tumor Analysis (IOTA) simple rules versus pattern recognition to differentiate between benign and malignant ovarian masses.
Methods:
A prospective cross-sectional study conducted at Kasr El Aini Hospital, Cairo, between April 2016 and October 2018 of 396 women with ovarian masses measuring more than 5 cm who were candidates for surgery. All patients underwent two-dimensional transvaginal sonography: level 2 with IOTA simple rules followed by level 3 with pattern recognition. Patients subsequently underwent ovarian cystectomy or oophorectomy and the specimens were examined histopathologically. Accuracy was measured by comparing sensitivity, specificity, positive predictive value, negative predictive value, and accuracy.
Results:
IOTA simple rules specified 44/50 cases as malignant and 220/242 as benign (sensitivity and specificity of 88.0% and 90.9%, respectively). Pattern recognition identified 83/94 cases as malignant and 281/302 as benign (sensitivity and specificity of 88.3% and 92.7%, respectively). No statistically significant difference in accuracy was found between the two methods.
Conclusion:
IOTA simple rules are an effective tool for detecting ovarian malignancy when performed by nonexpert sonographers. When results are inconclusive, pattern recognition should be performed additionally by an expert sonographer.
Clinical Trials Registration:
NCT02800031.
More Related Videos
11:37In vitro Enrichment of Ovarian Cancer Tumor-initiating Cells
Published on: February 18, 2015
04:13Modeling Ovarian Cancer Communication for Imaging Mass Spectrometry Analysis: A Method to Identify Small Molecule Chemical Communicators in Metastatic Ovarian Tumor Development
Published on: April 30, 2023
Related Concept Videos
10:35An Orthotopic Model of Serous Ovarian Cancer in Immunocompetent Mice for in vivo Tumor Imaging and Monitoring of Tumor Immune Responses
11:37In vitro Enrichment of Ovarian Cancer Tumor-initiating Cells
04:13Modeling Ovarian Cancer Communication for Imaging Mass Spectrometry Analysis: A Method to Identify Small Molecule Chemical Communicators in Metastatic Ovarian Tumor Development
04:35Obtaining Primary Ovarian Cancer Cells from Solid Specimens: A Method to Culture Epithelial Ovarian Cancer Cells from Ovarian Tumor Specimens
11:51Preparation of Mitochondria from Ovarian Cancer Tissues and Control Ovarian Tissues for Quantitative Proteomics Analysis
10:21A Coregistered Ultrasound and Photoacoustic Imaging Protocol for the Transvaginal Imaging of Ovarian Lesions