1994
DOI: 10.1159/000292467
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Ovarian Tumors: Prediction of the Probability of Malignancy by Using Patient’s Age and Tumor Morphologic Features with a Logistic Model

Abstract: An attempt was made to predict the probability of malignancy of a given ovarian tumor in a certain patient by using the age and simple morphologic features of the tumor. A cohort of 959 patients with ovarian tumors was analysed retrospectively according to the patient’s age and tumor characteristics such as greatest diameter, consistency, bilaterality and diagnosis as malignant (271 patients) or benign (688 patients). All variables were entered unconditionally in a logistic regression. The presence of solid/mu… Show more

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Cited by 12 publications
(12 citation statements)
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“…From a literature search, we identified 12 models to estimate the risk of malignancy in adnexal masses that contained variables for which information had been prospectively collected in the IOTA studies: the original RMI from the study of Jacobs and colleagues (7) and 3 variations of the RMI (8, 28, 29), 6 logistic regression models (9)(10)(11)(12)(13)(14), and 2 ANNs (more specifically, multilayer perceptrons; ref. 12).…”
Section: The Non-iota Modelsmentioning
confidence: 99%
See 1 more Smart Citation
“…From a literature search, we identified 12 models to estimate the risk of malignancy in adnexal masses that contained variables for which information had been prospectively collected in the IOTA studies: the original RMI from the study of Jacobs and colleagues (7) and 3 variations of the RMI (8, 28, 29), 6 logistic regression models (9)(10)(11)(12)(13)(14), and 2 ANNs (more specifically, multilayer perceptrons; ref. 12).…”
Section: The Non-iota Modelsmentioning
confidence: 99%
“…Several mathematical models or scoring systems have been developed to be used for discrimination between benign and malignant adnexal masses with encouraging results (7)(8)(9)(10)(11)(12)(13)(14). Unfortunately, when tested prospectively, most models did worse than in the studies where they had been created, and they did not achieve the performance of experienced sonologists using subjective assessment of the ultrasound image (4,(15)(16)(17)(18).…”
Section: Introductionmentioning
confidence: 99%
“…Bilateral abnormal adnexal masses on an ultrasound scan increase the risk of malignancy 2.8‐fold in a mixed population of pre‐ and postmenopausal women (22).…”
Section: Diagnosismentioning
confidence: 99%
“…Solid parts, semisolid, mixed tumors are often related to malignancy (15,16,(21)(22)(23). In premenopausal women, cysts with solid parts and semisolid and mixed tumors are found to be malignant in around 2-17% of cases (15,17).…”
Section: Ultrasonographic Featuresmentioning
confidence: 99%
“…Transvaginal ultrasound can help differentiate neoplastic versus non-neoplastic tumors [3] , while Doppler can be used to differentiate between benign and malignant lesions [4] . However, the detection of ovarian cancer in its early stages by using ultrasound remains controversial due to the low prevalence of this disease in the general population and the challenges associated with the detection of tumors at an early stage [1] .…”
Section: Introductionmentioning
confidence: 99%