Development of a clinical prediction model for diagnosing adenomyosis

Tina Tellum, Nygaard S, Staale Nygaard, Skovholt EK, E. Skovholt, Else K Skovholt, Qvigstad E, Erik Qvigstad, Marit Lieng, Lieng M
Fertility and sterility · 2018 · vol. 110(5) , pp. 957–964.e3 · doi:10.1016/j.fertnstert.2018.06.009 · PMID:30316443 · W2896973113
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This study aimed to develop a clinical prediction model to diagnose adenomyosis, and it identified key factors contributing to the diagnosis.

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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.

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Condition tags

adenomyosis

MeSH descriptors

Adenomyosis Adenomyosis Models, Theoretical Models, Theoretical Uterus Adenomyosis Adenomyosis Adenomyosis Adult Adult Female Female Humans Humans Middle Aged Middle Aged Norway Norway Norway Predictive Value of Tests

Citation neighborhood (2-hop)

Papers in the corpus that this work cites (lower rings, blue) and that cite this one (upper rings, green). Dot size scales with the paper's in-corpus citation count — bigger dot = more influential within the endo/adeno field. Click a dot to open that paper. Outer rings show 2-hop neighbours — papers reached through the immediate citers/citees. [ collapse to 1-hop ]

References (41)

Cited by (35)

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