Scoring systems for the evaluation of adnexal masses nature: current knowledge and clinical applications
Terzic M. Aimagambetova G. Norton M. Della Corte L. Marín-Buck A. Lisón J.F. Amer-Cuenca J.J. Zito G. Garzon S. Caruso S. Rapisarda A.M.C. Cianci A.
2021Taylor and Francis Ltd.
Journal of Obstetrics and Gynaecology
2021#41Issue 3340 - 347 pp.
Adnexal masses are a common finding in women, with 20% of them developing at least one pelvic mass during their lifetime. There are more than 30 different subtypes of adnexal tumours, with multiple different subcategories, and the correct characterisation of the pelvic masses is of paramount importance to guide the correct management. On that basis, different algorithms and scoring systems have been developed to guide the clinical assessment. The first scoring system implemented into the clinical practice was the Risk of Malignancy Index, which combines ultrasound evaluation, menopausal status, and serum CA-125 levels. Today, current guidelines regarding female patients with adnexal masses include the application of International Ovarian Tumours Analysis simple rules, logistic regression model 1 (LR1) and LR2, OVERA, cancer ovarii non-invasive assessment of treating strategy, and assessment of Different Neoplasias in the adnexa. In this scenario, the choice of the scoring system for the discrimination between benign and malignant ovarian tumours can be complex when approaching patients with adnexal masses. This review aims to summarise the available evidence regarding the different scoring systems to provide a complete overview of the topic.
Adnexal mass , CPH-I , IOTA , OVA1 , ovarian cancer , RMI
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Department of Medicine, Nazarbayev University School of Medicine, Astana, Kazakhstan
Department of Obstetrics and Gynecology, National Research Center of Mother and Child Health, University Medical Center, Astana, Kazakhstan
Department of Obstetrics, Gynecology and Reproductive Sciences, University of Pittsburgh School of Medicine, Pittsburgh, PA, United States
Department of Biomedical Sciences, Nazarbayev University School of Medicine, Astana, Kazakhstan
Department of Urogynaecology, Whittington Hospital, London, United Kingdom
Department of Neuroscience, Reproductive Sciences and Dentistry, School of Medicine, University of Naples Federico II, Naples, Italy
Department of Surgery, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
Department of Gynecology, Hospital Provincial de Castellón, Castellón, Spain
Department of Medicine, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
CIBER of Physiopathology of Obesity and Nutrition CIBERobn, CB06/03 Carlos III Health Institute, Madrid, Spain
Department of Physiotherapy, Universidad Cardenal Herrera-CEU, CEU Universities, Valencia, Spain
Department of Obstetrics and Gynecology, Institute for Maternal and Child Health, IRCCS “Burlo Garofolo”, Trieste, Italy
Department of Obstetrics and Gynecology, “Filippo Del Ponte” Hospital, University of Insubria, Varese, Italy
Obstetrics and Gynecology Unit, Department of General Surgery and Medical Surgical Specialties, University of Catania, Catania, Italy
Department of Medicine
Department of Obstetrics and Gynecology
Department of Obstetrics
Department of Biomedical Sciences
Department of Urogynaecology
Department of Neuroscience
Department of Surgery
Department of Gynecology
Department of Medicine
CIBER of Physiopathology of Obesity and Nutrition CIBERobn
Department of Physiotherapy
Department of Obstetrics and Gynecology
Department of Obstetrics and Gynecology
Obstetrics and Gynecology Unit
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