Value of Assessment of Different Neoplasias in the Adnexa in the Differential Diagnosis of Malignant Ovarian Tumor and Benign Ovarian Tumor: A Meta-analysis

Araujo, 2017, Performance of the IOTA ADNEX model in preoperative discrimination of adnexal masses in a gynecological oncology center, Ultrasound Obstet Gynecol, 49, 778, 10.1002/uog.15963 Barnett, 2016, Ovarian cancer, Lancet, 387, 1265, 10.1016/S0140-6736(16)30024-1 Chen, 2019, Performance of IOTA ADNEX model in evaluating adnexal masses in a gynecological oncology center in China, Ultrasound Obstet Gynecol, 54, 815, 10.1002/uog.20363 Czekierdowski, 2021, Sonographic assessment of complex ultrasound morphology adnexal tumors in pregnant women with the use of IOTA Simple Rules Risk and ADNEX Scoring Systems, Diagnostics (Basel), 11, 414, 10.3390/diagnostics11030414 Di Legge, 2012, Lesion size affects diagnostic performance of IOTA logistic regression models, IOTA simple rules and risk of malignancy index in discriminating between benign and malignant adnexal masses, Ultrasound Obstet Gynecol, 40, 345, 10.1002/uog.11167 Esquivel Villabona, 2022, Two-step strategy for optimizing the preoperative classification of adnexal masses in a university hospital, using international ovarian tumor analysis models: Simple Rules and Assessment of Different NEoplasias in the adneXa model, J Ultrasound Med, 41, 471, 10.1002/jum.15728 Froyman, 2017, Validation of the performance of International Ovarian Tumor Analysis (IOTA) methods in the diagnosis of early stage ovarian cancer in a non-screening population, Diagnostics (Basel), 7, 32, 10.3390/diagnostics7020032 Giampaolino, 2019, Unraveling a difficult diagnosis: The tricks for early recognition of ovarian cancer, Minerva Med, 110, 279, 10.23736/S0026-4806.19.06086-5 Greenhalgh, 2014, Evidence based medicine: A movement in crisis?, BMJ, 348, g3725, 10.1136/bmj.g3725 He, 2021, Estimating the risk of malignancy of adnexal masses: Validation of the ADNEX model in the hands of nonexpert ultrasonographers in a gynaecological oncology centre in China, J Ovarian Res, 14, 169, 10.1186/s13048-021-00922-w Hellstrom, 2008, SMRP and HE4 as biomarkers for ovarian carcinoma when used alone and in combination with CA125 and/or each other, Adv Exp Med Biol, 622, 15, 10.1007/978-0-387-68969-2_2 Hiett, 2021, Performance of IOTA Simple Rules, Simple Rules Risk assessment, ADNEX model and O-RADS in discriminating between benign and malignant adnexal lesions in North American population, Ultrasound Obstet Gynecol Huang, 2021, Diagnostic accuracy of the ADNEX model for ovarian cancer at the 15% cut-off value: A systematic review and meta-analysis, Front Oncol, 11 Jeong, 2020, Validation of IOTA–ADNEX model in discriminating characteristics of adnexal masses: A comparison with subjective assessment, J Clin Med, 9, 2010, 10.3390/jcm9062010 Joyeux, 2016, [Before surgery predictability of malignant ovarian tumors based on ADNEX model and its use in clinical practice], Gynecol Obstet Fertil, 44, 557, 10.1016/j.gyobfe.2016.07.007 Lee, 2021, Ultrasonographic evaluation of ovarian mass for predicting malignancy in pregnant women, Gynecol Oncol, 163, 385, 10.1016/j.ygyno.2021.09.007 Meys, 2016, Subjective assessment versus ultrasound models to diagnose ovarian cancer: A systematic review and meta-analysis, Eur J Cancer, 58, 17, 10.1016/j.ejca.2016.01.007 Meys, 2017, Estimating risk of malignancy in adnexal masses: External validation of the ADNEX model and comparison with other frequently used ultrasound methods, Ultrasound Obstet Gynecol, 49, 784, 10.1002/uog.17225 Nam, 2021, Assessment of Different NEoplasias in the adneXa model for differentiation of benign and malignant adnexal masses in Korean women, Obstet Gynecol Sci, 64, 293, 10.5468/ogs.21012 Nunes, 2014, Use of IOTA simple rules for diagnosis of ovarian cancer: Meta-analysis, Ultrasound Obstet Gynecol, 44, 503, 10.1002/uog.13437 Peng, 2021, Evaluation of the diagnostic value of the ultrasound ADNEX model for benign and malignant ovarian tumors, Int J Gen Med, 14, 5665, 10.2147/IJGM.S328010 Poonyakanok, 2021, Preoperative evaluation of the ADNEX Model for the prediction of the ovarian cancer risk of adnexal masses at Siriraj Hospital, Gynecol Obstet Invest, 86, 132, 10.1159/000513517 Prat, 2014, Staging classification for cancer of the ovary, fallopian tube, and peritoneum, Int J Gynaecol Obstet, 124, 1, 10.1016/j.ijgo.2013.10.001 Qian, 2021, Comparison of the diagnostic performances of ultrasound-based models for predicting malignancy in patients with adnexal masses, Front Oncol, 11, 10.3389/fonc.2021.673722 Reid, 2017, Epidemiology of ovarian cancer: A review, Cancer Biol Med, 14, 9, 10.20892/j.issn.2095-3941.2016.0084 Ruiz de Gauna, 2015, Diagnostic performance of IOTA simple rules for adnexal masses classification: A comparison between two centers with different ovarian cancer prevalence, Eur J Obstet Gynecol Reprod Biol, 191, 10, 10.1016/j.ejogrb.2015.05.024 Sayasneh, 2016, Evaluating the risk of ovarian cancer before surgery using the ADNEX model: A multicentre external validation study, Br J Cancer, 115, 542, 10.1038/bjc.2016.227 Stukan, 2019, Development and validation of a model that includes two ultrasound parameters and the plasma D-dimer level for predicting malignancy in adnexal masses: An observational study, BMC Cancer, 19, 564, 10.1186/s12885-019-5629-x Szubert, 2016, External validation of the IOTA ADNEX model performed by two independent gynecologic centers, Gynecol Oncol, 142, 490, 10.1016/j.ygyno.2016.06.020 Timmerman, 2007, Inclusion of CA-125 does not improve mathematical models developed to distinguish between benign and malignant adnexal tumors, J Clin Oncol, 25, 4194, 10.1200/JCO.2006.09.5943 Tug, 2020, Preoperative discriminating performance of the IOTA-ADNEX model and comparison with Risk of Malignancy Index: An external validation in a non-gynecologic oncology tertiary center, Eur J Gynaecol Oncol, 41, 200, 10.31083/j.ejgo.2020.02.4971 Valentin, 1999, Pattern recognition of pelvic masses by gray-scale ultrasound imaging: The contribution of Doppler ultrasound, Ultrasound Obstet Gynecol, 14, 338, 10.1046/j.1469-0705.1999.14050338.x Valentin, 2001, Comparison of 'pattern recognition' and logistic regression models for discrimination between benign and malignant pelvic masses: A prospective cross validation, Ultrasound Obstet Gynecol, 18, 357, 10.1046/j.0960-7692.2001.00500.x Van Calster, 2014, Evaluating the risk of ovarian cancer before surgery using the ADNEX model to differentiate between benign, borderline, early and advanced stage invasive, and secondary metastatic tumours: Prospective multicentre diagnostic study, BMJ, 349, g5920, 10.1136/bmj.g5920 Van Calster, 2015, Practical guidance for applying the ADNEX model from the IOTA group to discriminate between different subtypes of adnexal tumors, Facts Views Vis Obgyn, 7, 32 Van Calster, 2020, Validation of models to diagnose ovarian cancer in patients managed surgically or conservatively: Multicentre cohort study, BMJ, 370, m2614, 10.1136/bmj.m2614 Viora, 2020, The ADNEX model to triage adnexal masses: An external validation study and comparison with the IOTA two-step strategy and subjective assessment by an experienced ultrasound operator, Eur J Obstet Gynecol Reprod Biol, 247, 207, 10.1016/j.ejogrb.2020.02.022 Westwood, 2018, Risk scores to guide referral decisions for people with suspected ovarian cancer in secondary care: A systematic review and cost-effectiveness analysis, Health Technol Assess, 22, 1, 10.3310/hta22440 Whiting, 2011, QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies, Ann Intern Med, 155, 529, 10.7326/0003-4819-155-8-201110180-00009 Wynants, 2017, Clinical utility of risk models to refer patients with adnexal masses to specialized oncology care: Multicenter external validation using decision curve analysis, Clin Cancer Res, 23, 5082, 10.1158/1078-0432.CCR-16-3248 Zhang, 2021, External validation of the Assessment of Different NEoplasias in the adneXa model performance in evaluating the risk of ovarian carcinoma before surgery in China: A tertiary center study, J Ultrasound Med, 10.1002/jum.15920