Tina Tellum1, Staale Nygaard2, Else K Skovholt3, Erik Qvigstad4, Marit Lieng4. 1. Department of Gynecology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway. Electronic address: tina.tellum@gmail.com. 2. Department of Informatics, The Faculty of Mathematics and Natural Sciences, University of Oslo, Oslo, Norway. 3. Department of Pathology, Oslo University Hospital, Oslo, Norway. 4. Department of Gynecology, Oslo University Hospital, Oslo, Norway; Institute of Clinical Medicine, Faculty of Medicine, University of Oslo, Oslo, Norway.
Abstract
OBJECTIVE: To develop a multivariate prediction model for diagnosing adenomyosis using predictors available through transvaginal ultrasonography and clinical examinations. DESIGN: Prospective observational single-center study. SETTING: Teaching university hospital. PATIENT(S): One hundred consecutively enrolled premenopausal women aged 30-50 years, undergoing hysterectomy due to a benign condition and not using hormonal treatment. INTERVENTION(S): Preoperative 2-D and 3-D transvaginal ultrasonography investigations were performed, and the results were documented in a standardized form. Clinical information was collected using a questionnaire. Histopathology confirmed the outcome. MAIN OUTCOME MEASURE(S): Diagnostic performance (sensitivity, specificity, area under the curve (AUC)) of a multivariate prediction model for adenomyosis. Independent diagnostic performance of single predictors and their quantitative effect (β) in the final model. RESULT(S): The final model showed a good test quality (area under the curve [AUC] = 0.86, [95% confidence interval = 0.79-0.94], optimal cutoff 0.56, sensitivity of 85%, specificity 78%). The following nine predictors were included ([sensitivity, specificity, β] or [AUC, β]): presence of myometrial cysts (51%, 86%, β = 0.86), fan-shaped echo (36%, 92%, β = 0.54), hyperechoic islets (51%, 78%, β = 0.62), globular uterus (61%, 83%, β = 0.2), normal uterine shape (83%, 61%, β = -0.75), thickest/thinnest ratio for uterine wall (0.61, β = 0.26), maximum width of the junctional zone in sagittal plane (0.71, β = 0.1), regular appearance of junctional zone (31%, 92%, β = -1.0), and grade of dysmenorrhea measured on a verbal numerical rating scale (0.61, β = 0.08). CONCLUSION(S): We have presented a multivariate model for diagnosing adenomyosis that weights predictors based on their diagnostic significance. The reported findings could aid clinicians who are interpreting the heterogeneous appearance of adenomyosis in ultrasonography. CLINICAL TRIAL REGISTRATION NUMBER: NCT02201719.
OBJECTIVE: To develop a multivariate prediction model for diagnosing adenomyosis using predictors available through transvaginal ultrasonography and clinical examinations. DESIGN: Prospective observational single-center study. SETTING: Teaching university hospital. PATIENT(S): One hundred consecutively enrolled premenopausal women aged 30-50 years, undergoing hysterectomy due to a benign condition and not using hormonal treatment. INTERVENTION(S): Preoperative 2-D and 3-D transvaginal ultrasonography investigations were performed, and the results were documented in a standardized form. Clinical information was collected using a questionnaire. Histopathology confirmed the outcome. MAIN OUTCOME MEASURE(S): Diagnostic performance (sensitivity, specificity, area under the curve (AUC)) of a multivariate prediction model for adenomyosis. Independent diagnostic performance of single predictors and their quantitative effect (β) in the final model. RESULT(S): The final model showed a good test quality (area under the curve [AUC] = 0.86, [95% confidence interval = 0.79-0.94], optimal cutoff 0.56, sensitivity of 85%, specificity 78%). The following nine predictors were included ([sensitivity, specificity, β] or [AUC, β]): presence of myometrial cysts (51%, 86%, β = 0.86), fan-shaped echo (36%, 92%, β = 0.54), hyperechoic islets (51%, 78%, β = 0.62), globular uterus (61%, 83%, β = 0.2), normal uterine shape (83%, 61%, β = -0.75), thickest/thinnest ratio for uterine wall (0.61, β = 0.26), maximum width of the junctional zone in sagittal plane (0.71, β = 0.1), regular appearance of junctional zone (31%, 92%, β = -1.0), and grade of dysmenorrhea measured on a verbal numerical rating scale (0.61, β = 0.08). CONCLUSION(S): We have presented a multivariate model for diagnosing adenomyosis that weights predictors based on their diagnostic significance. The reported findings could aid clinicians who are interpreting the heterogeneous appearance of adenomyosis in ultrasonography. CLINICAL TRIAL REGISTRATION NUMBER: NCT02201719.
Authors: M J Harmsen; T Van den Bosch; R A de Leeuw; M Dueholm; C Exacoustos; L Valentin; W J K Hehenkamp; F Groenman; C De Bruyn; C Rasmussen; L Lazzeri; L Jokubkiene; D Jurkovic; J Naftalin; T Tellum; T Bourne; D Timmerman; J A F Huirne Journal: Ultrasound Obstet Gynecol Date: 2022-07 Impact factor: 8.678