Comparison of the O-RADS and ADNEX models regarding malignancy rate and validity in evaluating adnexal lesions
- PMID: 35583711
- DOI: 10.1007/s00330-022-08803-6
Comparison of the O-RADS and ADNEX models regarding malignancy rate and validity in evaluating adnexal lesions
Abstract
Objective: This study aimed to compare the ability of the O-RADS and ADNEX models to classify benign or malignant adnexal lesions.
Methods: This retrospective single-center study included women who underwent surgery for adnexal lesions. Two gynecologists independently categorized the adnexal lesions according to the O-RADS and ADNEX models. Four additional readers were included to validate the new quick-access O-RADS flowchart.
Results: Among the 322 patients included in this study, 264 (82.0%) had a benign diagnosis, and 58 (18.0%) had a malignant diagnosis. The malignant rates of O-RADS 2, O-RADS 3, O-RADS 4, and O-RADS 5 were 0%, 3.0%, 37.7%, and 78.9%, respectively. The AUC of the O-RADS in the 322 patients was 0.93. On comparing the O-RADS and ADNEX models in the remaining 281 patients, the AUCs of the O-RADS, ADNEX model with CA125, and ADNEX model without CA125 were 0.92, 0.95, and 0.94, respectively. When setting a uniform cutoff of ≥ 10% (≥ O-RADS 4) to predict malignancy, the O-RADS had higher sensitivity than the ADNEX model (96.6% vs. 91.4%), and relatively similar specificity. In addition, the readers with the quick-access flowchart spent less time categorizing O-RADS than the readers with only the original O-RADS table (mean analysis time: 99 min 15 s vs. 111 min 55 s).
Conclusions: The O-RADS classification of the adnexal lesions as benign or malignant was comparable to that of the ADNEX model and had higher sensitivity at the 10% cutoff value. A quick-access O-RADS flowchart was helpful in O-RADS categorization and might shorten the analysis time.
Key points: • Both O-RADS and ADNEX models had good diagnostic performance in distinguishing adnexal malignancy, and O-RADS had higher sensitivity than ADNEX model in uniform 10% cutoff to predict malignancy. • Quick-access O-RADS flowchart was developed to help review O-RADS classification and might help reduce the analysis time.
Keywords: Adnexal diseases; ROC curve; Sensitivity and specificity; Ultrasonography.
© 2022. The Author(s), under exclusive licence to European Society of Radiology.
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References
-
- American College of Obstetricians and Gynecologists’ Committee on Practice Bulletins—Gynecology (2016) Practice Bulletin No. 174: Evaluation and Management of Adnexal Masses. Obstet Gynecol 128:e210-e226
-
- Sadowski EA, Paroder V, Patel-Lippmann K et al (2018) Indeterminate adnexal cysts at US: prevalence and characteristics of ovarian cancer. Radiology 287:1041–1049 - DOI
-
- Siegel RL, Miller KD, Jemal A (2020) Cancer statistics, 2020. CA Cancer J Clin 70:7–30 - DOI
-
- Timmerman D, Valentin L, Bourne TH, Collins WP, Verrelst H, Vergote I (2000) Terms, definitions and measurements to describe the sonographic features of adnexal tumors: a consensus opinion from the International Ovarian Tumor Analysis (IOTA) Group. Ultrasound Obstet Gynecol 16:500–505 - DOI
-
- Timmerman D, Testa AC, Bourne T et al (2005) Logistic regression model to distinguish between the benign and malignant adnexal mass before surgery: a multicenter study by the International Ovarian Tumor Analysis Group. J Clin Oncol 23:8794–8801 - DOI
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