Literature DB >> 28735703

Ovarian mass-differentiating benign from malignant: the value of the International Ovarian Tumor Analysis ultrasound rules.

Jacques S Abramowicz1, Dirk Timmerman2.   

Abstract

Ovarian cancer, the fifth most common cause of cancer death among women, has the highest mortality rate of all gynecologic cancers. General survival rate is <50% but can reach 90% if disease is detected early. Ultrasound is presently the best modality to differentiate between benign and malignant status. The patient with a malignant mass should be referred to an oncology surgeon since results have been shown to be superior to treatment by a specialist. Several ultrasound-based scoring systems exist for assessing the risk of an ovarian tumor to be malignant. The International Ovarian Tumor Analysis group published 2 such systems: the ultrasound Simple Rules and the Assessment of Different NEoplasias in the adneXa model. The Simple Rules classifies a tumor as benign, malignant, or indeterminate and the Assessment of Different NEoplasias in the adneXa model determines the risk for a tumor to be benign or malignant and, if malignant, the risk of various stages. Sensitivity of the Simple Rules and Assessment of Different NEoplasias in the adneXa model (using a cut-off of 10% to predict malignancy) are 92% and 96.5%, respectively, and specificities are 96% and 71.3%, respectively. These models are the best predictive tests for the preoperative classification of adnexal tumors. Their intent is to help the specialist make management decisions when faced with a patient with a persistent ovarian mass. The models are simple, are easy to use, and have been validated in multiple reports but not in the United States. We suggest they should be validated and widely introduced into medical practice in the United States.
Copyright © 2017 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  ADNEX model; International Ovarian Tumor Analysis group; Simple Rules; ovarian cancer; scoring systems; ultrasound

Mesh:

Substances:

Year:  2017        PMID: 28735703     DOI: 10.1016/j.ajog.2017.07.019

Source DB:  PubMed          Journal:  Am J Obstet Gynecol        ISSN: 0002-9378            Impact factor:   8.661


  12 in total

1.  A machine learning approach applied to gynecological ultrasound to predict progression-free survival in ovarian cancer patients.

Authors:  Francesca Arezzo; Gennaro Cormio; Daniele La Forgia; Carla Mariaflavia Santarsiero; Michele Mongelli; Claudio Lombardi; Gerardo Cazzato; Ettore Cicinelli; Vera Loizzi
Journal:  Arch Gynecol Obstet       Date:  2022-05-09       Impact factor: 2.493

Review 2.  Current update on malignant epithelial ovarian tumors.

Authors:  Sherif B Elsherif; Priya R Bhosale; Chandana Lall; Christine O Menias; Malak Itani; Kristina A Butler; Dhakshinamoorthy Ganeshan
Journal:  Abdom Radiol (NY)       Date:  2021-06-05

3.  Validation of IOTA-ADNEX Model in Discriminating Characteristics of Adnexal Masses: A Comparison with Subjective Assessment.

Authors:  Soo Young Jeong; Byung Kwan Park; Yoo Young Lee; Tae-Joong Kim
Journal:  J Clin Med       Date:  2020-06-26       Impact factor: 4.241

4.  Unusual Case of Malignant Struma Ovarii and Cervical Thyroid Cancer Preceded by Ovarian Teratoma: Case Report and Review of the Literature.

Authors:  Elias G Tzelepis; Elena Barengolts; Steven Garzon; Joseph Shulan; Yuval Eisenberg
Journal:  Case Rep Endocrinol       Date:  2019-03-17

5.  Predicting Malignancy in Adnexal Masses by the International Ovarian Tumor Analysis-Simple Rules.

Authors:  Vrushti Solanki; Pratibha Singh; Charu Sharma; Navdeep Ghuman; Binit Sureka; Shashank Shekhar; Meenakshi Gothwal; Garima Yadav
Journal:  J Midlife Health       Date:  2021-01-21

6.  Sonographic Assessment of Complex Ultrasound Morphology Adnexal Tumors in Pregnant Women with the Use of IOTA Simple Rules Risk and ADNEX Scoring Systems

Authors:  Artur Czekierdowski; Norbert Stachowicz; Agata Smoleń; Tomasz Kluz; Tomasz Łoziński; Andrzej Miturski; Janusz Kraczkowski
Journal:  Diagnostics (Basel)       Date:  2021-02-28

7.  Ovarian Carcinosarcoma with Retroperitoneal Para-Aortic Lymph Node Dissemination Followed by an Unusual Postoperative Complication: A Case Report with a Brief Literature Review.

Authors:  Stoyan Kostov; Yavor Kornovski; Yonka Ivanova; Deyan Dzhenkov; George Stoyanov; Stanislav Stoilov; Stanislav Slavchev; Ekaterina Trendafilova; Angel Yordanov
Journal:  Diagnostics (Basel)       Date:  2020-12-11

Review 8.  Uncommon Metastasis of Ovarian Dysgerminoma: A Case Report and Review of the Literature.

Authors:  Mihaela Camelia Tîrnovanu; Irina Daniela Florea; Adina Tănase; Bogdan Florin Toma; Elena Cojocaru; Carmen Ungureanu; Ludmila Lozneanu
Journal:  Medicina (Kaunas)       Date:  2021-05-27       Impact factor: 2.430

Review 9.  Radiomics and radiogenomics in ovarian cancer: a literature review.

Authors:  S Nougaret; Cathal McCague; Hichem Tibermacine; Hebert Alberto Vargas; Stefania Rizzo; E Sala
Journal:  Abdom Radiol (NY)       Date:  2020-11-11

10.  Diagnostic Accuracy of the ADNEX Model for Ovarian Cancer at the 15% Cut-Off Value: A Systematic Review and Meta-Analysis.

Authors:  Xiaotong Huang; Ziwei Wang; Meiqin Zhang; Hong Luo
Journal:  Front Oncol       Date:  2021-06-17       Impact factor: 6.244

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