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Clinical Trial Details — Status: Not yet recruiting

Administrative data

NCT number NCT04579575
Other study ID # O-RADS value in ovarian lesion
Secondary ID
Status Not yet recruiting
Phase
First received
Last updated
Start date December 20, 2021
Est. completion date October 1, 2022

Study information

Verified date December 2021
Source Assiut University
Contact Mahmoud Abdel Maged Mohamed
Phone 01013703870
Email mahmoudmaged94@yahoo.com
Is FDA regulated No
Health authority
Study type Observational

Clinical Trial Summary

To detect added value of O-RADS in evaluation of ovarian lesions and compare O-RADS with GI-RADS regarding malignancy rate, the validity and reliability through pathological results and other modalities


Description:

Ultrasound (US) continues to be the initial imaging modality of choice for the identification and characterization of adnexal masses (AM) . Structured reporting of AM findings was identified by a Society of Radiologists in Ultrasound consensus working group as a target for the investigation to improve the management of women with AM . Many established guidelines and structured reporting have been developed using sonography to characterize AM, including subjective assessment, simple scoring systems, and statistically derived scoring systems . In 2008, the International Ovarian Tumor Analysis (IOTA) group proposed the use of US simple rules for the diagnosis of ovarian malignancy. These are based on a set of five US features indicative for a benign tumor (B features), and five US features indicative for a malignant tumor (M features) . In 2009, the Gynecology Imaging Reporting and Data System (GI-RADS) was designed as an attempt allowing standardized reporting of AM. This system is based on recognition patterns and criteria provided by the IOTA. The American College of Radiology (ACR) published the Ovarian-Adnexal Reporting and Data System (O-RADS), which provides an up-to-date suggestion to stratify the AM according to sonographic features. The O-RADS offers a comprehensive algorithm that categorizes AM by their possibility of being normal (O-RADS 1), to high risk of malignancy (O-RADS 5) . For the application of the US classification system of AM in clinical settings, it is essential to evaluate their validity and reproducibility. Several studies have investigated the validity of these risk stratification systems in the assessment of AM. However, data on the comparability and reproducibility of the systems are limited. The purpose of this study is To detect added value of O-RADS in evaluation of ovarian lesions and compare O-RADS with GI-RADS regarding malignancy rate , the validity and reliability through pathological results.


Recruitment information / eligibility

Status Not yet recruiting
Enrollment 30
Est. completion date October 1, 2022
Est. primary completion date January 1, 2022
Accepts healthy volunteers
Gender Female
Age group 17 Years to 75 Years
Eligibility Inclusion Criteria: - All newly diagnosed patients with ovarian lesions referred to the radiology department. - Must be able to be examined. Exclusion Criteria: - Patients younger than 17 years old - Patient who refused to be a part of the study and undergo examination.

Study Design


Related Conditions & MeSH terms


Intervention

Device:
Trans-abdominal Ultrasound
All patients will undergo trans- abdominal and trans-vaginal examination (The trans-abdominal US was performed for virgin patients or patients with large tumors that cannot be completely seen by the TV route) performed on the devices available in South Egypt Cancer Institute in supine position. The most important b-mode parameters (such as gain, frequency, number of foci and their depth, etc.) of the US machines were manually adjusted to obtain similar image impressions. The morphological features of each AM, and independently categorized the US images of each AM according to the O-RADS published by ACR and GI-RADS simple rules . The results of consensus reviewing were used to calculate the validity of each US classification system. The definite diagnoses of AM were preferentially established based on Histo-pathological findings and other modalities.

Locations

Country Name City State
n/a

Sponsors (1)

Lead Sponsor Collaborator
Assiut University

References & Publications (11)

Amor F, Alcázar JL, Vaccaro H, León M, Iturra A. GI-RADS reporting system for ultrasound evaluation of adnexal masses in clinical practice: a prospective multicenter study. Ultrasound Obstet Gynecol. 2011 Oct;38(4):450-5. doi: 10.1002/uog.9012. — View Citation

Amor F, Vaccaro H, Alcázar JL, León M, Craig JM, Martinez J. Gynecologic imaging reporting and data system: a new proposal for classifying adnexal masses on the basis of sonographic findings. J Ultrasound Med. 2009 Mar;28(3):285-91. — View Citation

Andreotti RF, Timmerman D, Benacerraf BR, Bennett GL, Bourne T, Brown DL, Coleman BG, Frates MC, Froyman W, Goldstein SR, Hamper UM, Horrow MM, Hernanz-Schulman M, Reinhold C, Strachowski LM, Glanc P. Ovarian-Adnexal Reporting Lexicon for Ultrasound: A White Paper of the ACR Ovarian-Adnexal Reporting and Data System Committee. J Am Coll Radiol. 2018 Oct;15(10):1415-1429. doi: 10.1016/j.jacr.2018.07.004. Epub 2018 Aug 24. Erratum in: J Am Coll Radiol. 2019 Mar;16(3):403-406. — View Citation

Andreotti RF, Timmerman D, Strachowski LM, Froyman W, Benacerraf BR, Bennett GL, Bourne T, Brown DL, Coleman BG, Frates MC, Goldstein SR, Hamper UM, Horrow MM, Hernanz-Schulman M, Reinhold C, Rose SL, Whitcomb BP, Wolfman WL, Glanc P. O-RADS US Risk Stratification and Management System: A Consensus Guideline from the ACR Ovarian-Adnexal Reporting and Data System Committee. Radiology. 2020 Jan;294(1):168-185. doi: 10.1148/radiol.2019191150. Epub 2019 Nov 5. — View Citation

Kaijser J, Sayasneh A, Van Hoorde K, Ghaem-Maghami S, Bourne T, Timmerman D, Van Calster B. Presurgical diagnosis of adnexal tumours using mathematical models and scoring systems: a systematic review and meta-analysis. Hum Reprod Update. 2014 May-Jun;20(3):449-62. doi: 10.1093/humupd/dmt059. Epub 2013 Dec 9. Review. — View Citation

Levine D, Brown DL, Andreotti RF, Benacerraf B, Benson CB, Brewster WR, Coleman B, DePriest P, Doubilet PM, Goldstein SR, Hamper UM, Hecht JL, Horrow M, Hur HC, Marnach M, Patel MD, Platt LD, Puscheck E, Smith-Bindman R; Society of Radiologists in Ultrasound. Management of asymptomatic ovarian and other adnexal cysts imaged at US Society of Radiologists in Ultrasound consensus conference statement. Ultrasound Q. 2010 Sep;26(3):121-31. doi: 10.1097/RUQ.0b013e3181f09099. Review. — View Citation

Liu J, Xu Y, Wang J. Ultrasonography, computed tomography and magnetic resonance imaging for diagnosis of ovarian carcinoma. Eur J Radiol. 2007 Jun;62(3):328-34. Epub 2007 Apr 11. — View Citation

Timmerman D, Valentin L, Bourne TH, Collins WP, Verrelst H, Vergote I; International Ovarian Tumor Analysis (IOTA) Group. 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. 2000 Oct;16(5):500-5. Review. — View Citation

Timmerman D, Van Calster B, Testa A, Savelli L, Fischerova D, Froyman W, Wynants L, Van Holsbeke C, Epstein E, Franchi D, Kaijser J, Czekierdowski A, Guerriero S, Fruscio R, Leone FPG, Rossi A, Landolfo C, Vergote I, Bourne T, Valentin L. Predicting the risk of malignancy in adnexal masses based on the Simple Rules from the International Ovarian Tumor Analysis group. Am J Obstet Gynecol. 2016 Apr;214(4):424-437. doi: 10.1016/j.ajog.2016.01.007. Epub 2016 Jan 19. — View Citation

Van Calster B, Timmerman D, Valentin L, McIndoe A, Ghaem-Maghami S, Testa AC, Vergote I, Bourne T. Triaging women with ovarian masses for surgery: observational diagnostic study to compare RCOG guidelines with an International Ovarian Tumour Analysis (IOTA) group protocol. BJOG. 2012 May;119(6):662-71. doi: 10.1111/j.1471-0528.2012.03297.x. Epub 2012 Mar 6. — View Citation

Van Calster B, Van Hoorde K, Valentin L, Testa AC, Fischerova D, Van Holsbeke C, Savelli L, Franchi D, Epstein E, Kaijser J, Van Belle V, Czekierdowski A, Guerriero S, Fruscio R, Lanzani C, Scala F, Bourne T, Timmerman D; International Ovarian Tumour Analysis Group. 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. 2014 Oct 15;349:g5920. doi: 10.1136/bmj.g5920. — View Citation

* Note: There are 11 references in allClick here to view all references

Outcome

Type Measure Description Time frame Safety issue
Primary Added value of Ovarian-Adnexal Reporting and Data System in evaluation of 30 participants with ovarian lesions regarding malignancy rate ,the validity and reliability after comparison with pathology specimens results . Evaluation of the ovarian lesions by Trans-abdominal and Trans-vaginal Ultrasound for diagnosis of ovarian malignancy as early as possible for further management Baseline
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