Reliability of IOTA score and ADNEX model in the screening of ovarian malignancy in postmenopausal women

Nohuz, E.; Simone, Luisa De; Chêne, Geneviève

doi:10.1016/j.jogoh.2018.04.012

Cited by 20 publications

(11 citation statements)

References 25 publications

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“…This study revealed excellent results for the ADNEX model either with or without CA125 at an AUC of 0.975 and 0.972. This is similar to the findings of a previous study, which had an AUC between 0.901 and 0.954 [12,13,[18][19][20][21][22][23][24]. Compared with the RMI score, which had a sensitivity of 78% and specificity of 87% [6], this model was better both in terms of its sensitivity and specificity at a cutoff value of 10%.…”

Section: Discussionsupporting

confidence: 88%

Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital

Poonyakanok

Tanmahasamut

Jaishuen

et al. 2021

Gynecol Obstet Invest

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Introduction: Distinguishing benign adnexal masses from malignant tumors plays an important role in preoperative planning and improving patients’ survival rates. The International Ovarian Tumor Analysis (IOTA) group developed a model termed the Assessment of Different NEoplasias in the adneXa (ADNEX). Objective: Our objective was to evaluate the performance of the ADNEX model in distinguishing between benign and malignant tumors at a cutoff value of 10%. Methods: This was a prospective diagnostic study. 357 patients with an adnexal mass who were scheduled for surgery at Siriraj Hospital were included from May 1, 2018, to May 30, 2019. All patients were undergoing ultrasonography, and serum CA125 was measured. Data were calculated by the ADNEX model via an IOTA ADNEX calculator. Results: Of the 357 patients, 296 had benign tumors and 61 had malignant tumors. The area under the receiver operating characteristic curve for using the ADNEX model was 0.975 (95% confidence interval, 0.953–0.988). At a 10% cutoff, the sensitivity was 98.4% and specificity was 87.2%. The best cutoff value was at 16.6% in our population. Conclusions: The performance of the ADNEX model in differentiating benign and malignant tumors was excellent.

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Section: Discussionsupporting

confidence: 88%

Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital

Poonyakanok

Tanmahasamut

Jaishuen

et al. 2021

Gynecol Obstet Invest

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“… 12 The ADNEX model is the first-known multi-classification prediction model for evaluating ovarian tumors. 13 , 14 Due to its ease of use, even inexperienced sonographers can give highly accurate diagnoses using the ADNEX model. 5 The best way to diagnose the benignity or malignancy of an adnexal mass is by subjective assessment by an expert gynecologic ultrasonographer.…”

Section: Discussionmentioning

confidence: 99%

Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors

Peng

Wang

et al. 2021

IJGM

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To investigate the diagnostic performance of the ADNEX model in the International Ovarian Tumor Analysis diagnostic models for ovarian tumors and further explore its application value in the staging of ovarian tumors. Methods: A total of 224 patients who underwent ultrasound for evaluation of adnexal masses and were treated surgically owing to adnexal masses from January 2018 to June 2020 in our hospital were selected for research on the diagnostic accuracy of the ADNEX model. The clinical information and ultrasonographic findings of the patients were collected, and the pathological diagnosis was taken as the gold standard. According to the ADNEX model, the ovarian tumors were divided into five subtypes: benign and borderline, stage I, stage II-IV, and metastatic cancer. The sensitivity, specificity, positive predictive value, negative predictive value, diagnostic odds ratio, and area under the receiver operating characteristics curve (AUC) of the ADNEX model were calculated. Results: Of the 224 patients, 119 (53.1%) developed benign tumors and 105 (46.9%) had malignant tumors. When the cut-off value for malignancy risk was 10%, the ADNEX model including CA 125 achieved a sensitivity of 94.3% (95% CI: 88.0-97.9%), specificity of 74.0% (95% CI: 65.1-81.6%), positive predictive value of 76.2% (95% CI: 70.2-81.3%), negative predictive value of 93.6% (95% CI: 87.0-97.0%), diagnostic odds ratio of 45.25, and an AUC of 0.94 (95% CI: 0.90-0.97) for differentiating between benign and malignant ovarian tumors. The AUC in the model excluding CA 125 was 0.93 (95% CI: 0.89-0.96), but the difference was not statistically significant (P=0.20). The accuracy of the ADNEX model for the diagnosis of ovarian tumors of all subtypes exceeds 80% when CA 125 measurements were included in the application, but the sensitivity for diagnosing borderline, stage I, and metastatic ovarian tumors was only 60.0% (95% CI:36.1-80.9%), 28.6% (95% CI:8.4-58.1%) and 45.5% (95% CI:16.7-76.6%). Conclusion:The ADNEX model shows good diagnostic performance in differentiating between benign and malignant ovarian tumors. The model has a certain clinical value in the diagnosis of all subtypes of ovarian tumors, but the sensitivity is unsatisfactory for the diagnosis of borderline, stage I, and metastatic ovarian tumors and needs to be verified.

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“…En estudios publicados anteriormente, las reglas ecográficas simples IOTA no fueron aplicadas directamente durante el examen ecográfico. Los datos ecográficos fueron recogidos posteriormente de las pacientes y evaluados según los modelos de predicción (10)(11)(12)(13)(14) . Nuestro estudio supera esta limitación mediante la aplicación directa de las reglas simples de ultrasonido IOTA en las pacientes.…”

Section: Discussionunclassified

Validación de los criterios ecográficos IOTA en la práctica clínica con marcadores tumorales y patología

Famada¹,

Pérez²,

Seguer³

et al. 2020

Rev peru ginecol obstet.

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Objetivos. Correlacionar la ecografía prequirúrgica de las masas anexiales aplicando los criterios IOTA y el diagnóstico anatomopatológico tras intervención quirúrgica. Valorar la utilidad de los marcadores tumorales bioquímicos. Método. Estudio observacional prospectivo en 102 pacientes con diagnóstico ecográfico de tumoración anexial, intervenidas quirúrgicamente entre enero 2017 y febrero 2020. El análisis estadístico se realizó con SPSS 17.0. Las variables categóricas se analizaron mediante pruebas de Fisher y chi-cuadrado, las variables cuantitativasmediante prueba t-student. La concordancia entre la valoración de la ecografía transvaginal mediante criterios IOTA y el resultado anatomopatológico, se estudió con el coeficiente de contingencia y el índice kappa. Resultados. Según criterios IOTA, se clasificó como benignas a 48% de las tumoraciones, como malignas 24,5%, y 27,5% resultaron no clasificables. La anatomía patológica confirmó que 68,1% de las benignas y 72,8% de las malignas fueron correctamente filiadas por la ecografía. La concordancia entre la ecografía transvaginal prequirúrgica y la anatomía patológica fue significativa, con coeficiente de contingencia 0,58, índice kappa 0,47, p <0,05 y con sensibilidad 94,1% y especificidad 92,1%. Los valores de la proteína epididimal humana 4 (HE4) y el antígeno del cáncer 125 (CA 125) tuvieron correlación con la anatomía patológica, también con significación estadística, siendo mayor en las pacientes menopáusicas. Conclusiones. Los criterios IOTA discriminaron de forma satisfactoria las masas benignas de las malignas. La proteína HE4 resultó mejor marcador bioquímico que el CA125.

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Reliability of IOTA score and ADNEX model in the screening of ovarian malignancy in postmenopausal women

Abstract: On the basis of our findings, the IOTA classification and the ADNEX multimodal algorithm used as risks prediction models can improve the performance of pelvic ultrasound and discriminate between benign and malignant cysts in postmenopausal women, especially for undetermined lesions.

Cited by 20 publications

References 25 publications

Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital

Preoperative Evaluation of the ADNEX Model for the Prediction of the Ovarian Cancer Risk of Adnexal Masses at Siriraj Hospital

Evaluation of the Diagnostic Value of the Ultrasound ADNEX Model for Benign and Malignant Ovarian Tumors

Validación de los criterios ecográficos IOTA en la práctica clínica con marcadores tumorales y patología

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