Evidence map›Paper›PMID 32809166›Full record

ArticleEuropean radiology2021

Comparison of O-RADS, GI-RADS, and IOTA simple rules regarding malignancy rate, validity, and reliability for diagnosis of adnexal masses.

Mohammad Abd Alkhalik Basha, Maha Ibrahime Metwally, Shrif A Gamil, Hamada M Khater, Sameh Abdelaziz Aly, Ahmed A El Sammak, Mohamed M A Zaitoun, Enass M Khattab, Taghreed M Azmy, Nader Ali Alayouty and 9 more

Abstract readMulticenter Study
PubMed Publisher
In one paragraph

Article in European radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 5 pooled it
13.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

62 citing papers in PubMed, 5 syntheses or guidelines pooled it, 115 citations in OpenAlex.

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  15. Integrating O-RADS US v2022, CEUS, and CA125 to enhance the diagnostic differentiation of ovarian masses: development of the OCC-US model.Cancer imaging : the official publication of the International Cancer Imaging Society · 2025
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2 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors at 2 institutions in 1 country.

Mohammad Abd Alkhalik BashaDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt. Mohammad_basha76@yahoo.com.ORCID https://orcid.org/0000-0002-9075-8020
Maha Ibrahime MetwallyDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Shrif A GamilDepartment of Radio-diagnosis, Al-Ahrar Teaching Hospital, Zagazig, Egypt.
Hamada M KhaterDepartment of Radio-diagnosis, Benha University, Benha, Egypt.
Sameh Abdelaziz AlyDepartment of Radio-diagnosis, Benha University, Benha, Egypt.
Ahmed A El SammakDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Mohamed M A ZaitounDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Enass M KhattabDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Taghreed M AzmyDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Nader Ali AlayoutyDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Nesreen MoheyDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Hosam Nabil AlmassryDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Hala Y YousefDepartment of Radio-diagnosis, Zagazig University, Zagazig, Egypt.
Safaa A IbrahimDepartment of Obstetrics & Gynecology, Zagazig University, Zagazig, Egypt.
Ekramy A MohamedDepartment of Obstetrics & Gynecology, Zagazig University, Zagazig, Egypt.
Abd El Motaleb MohamedDepartment of Clinical Oncology, Zagazig University, Zagazig, Egypt.
Amira Hamed Mohamed AfifiDepartment of Clinical Pathology, Zagazig University, Zagazig, Egypt.
Ola A HarbDepartment of Pathology, Zagazig University, Zagazig, Egypt.
Hesham Youssef AlgazzarDepartment of Radio-diagnosis, Benha University, Benha, Egypt.
Zagazig University · EGBenha University · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe American College of Radiology (ACR) recently published the ovarian-adnexal reporting and data system (O-RADS) to provide guidelines to physicians who interpret ultrasound (US) examinations of adnexal masses (AM). This study aimed to compare the O-RADS with two other well-established US classification systems for diagnosis of AM.

methodsThis retrospective multicenter study between May 2016 and December 2019 assessed consecutive women with AM detected by the US. Five experienced consultant radiologists independently categorized each AM according to O-RADS, gynecologic imaging reporting and data system (GI-RADS), and international ovarian tumor analysis (IOTA) simple rules. Pathology and adequate follow-up were used as reference standards for calculating the validity of three US classification systems for diagnosis of AM. Kappa statistics were used to assess the inter-reviewer agreement (IRA).

resultsA total of 609 women (mean age, 48 ± 13.7 years; range, 18-72 years) with 647 AM were included. Of the 647 AM, 178 were malignant and 469 were benign. Malignancy rates were comparable to recommended rates by previous literature in O-RADS and IOTA, but higher in GI-RADS. O-RADS had significantly higher sensitivity for malignancy than GI-RAD and IOTA (p = 0.003 and 0.0007, respectively), but non-significant slightly lower specificity (p > 0.05). O-RADS, GI-RADS, and IOTA showed similar overall IRA (κ = 0.77, 0.69, and 0.63, respectively) with a tendency toward higher IRA with O-RADS than with GI-RADS and IOTA.

conclusionsO-RADS compares favorably with GI-RADS and IOTA. O-RADS had higher sensitivity than GI-RADS and IOTA simple rules with relatively similar specificity and reliability. KEY POINTS: • The malignancy rates were comparable to recommended rates by previous literature in O-RADS and IOTA, but higher in GI-RADS. • The O-RADS had significantly higher sensitivity for malignancy than GI-RADS and IOTA (96.8% vs 92.7% and 92.1%; p = 0.003 and 0.0007, respectively), but non-significant slightly lower specificity (92.8% vs 93.6% and 93.2%, respectively; p > 0.05). • The O-RADS, GI-RADS, and IOTA showed similar overall inter-reviewer agreement (IRA) (κ = 0.77, 0.69, and 0.63, respectively), with a tendency toward higher IRA with O-RADS than with GI-RADS and IOTA.

Indexed as

Adnexal DiseasesOvarian NeoplasmsAdultData SystemsFemaleHumansMiddle AgedReproducibility of ResultsRetrospective StudiesSensitivity and SpecificityUltrasonographyAdnexal diseasesData systemsReproducibility of resultsSensitivity and specificityUltrasonography

Identifiers

PMID32809166
OpenAlexW3064847105

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.