Evidence map›Paper›PMID 42824308›Full record

ArticleCureus2026

Standardized Reporting in Gynecological Ultrasonography in India: The Need of the Hour.

Gaurav Khastgir, Sujata Siwatch

Abstract readEditorial
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Gaurav KhastgirObstetrics and Gynecology, Bengal Infertility & Reproductive Therapy Hospital (BIRTH), Kolkata, IND.
Sujata SiwatchObstetrics and Gynecology, Post Graduate Institute of Medical Education and Research, Chandigarh, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gynecological ultrasonography (USG) is integral to evaluating adnexal masses, adenomyosis, endometriosis, and other pelvic pathologies. Despite advances in imaging, substantial variability in terminology and reporting persists, potentially leading to inconsistent communication and clinical decision-making. Established frameworks, including the Ovarian-Adnexal Reporting and Data System (O-RADS) and International Ovarian Tumor Analysis (IOTA) Simple Rules (SR) for structured assessment of adnexal masses, the Assessment of Different NEoplasias in the adneXa (ADNEX) model for risk prediction, Morphological Uterus Sonographic Assessment (MUSA) terminology for adenomyosis, and International Federation of Gynecology and Obstetrics (FIGO) classifications, serve complementary roles in description, diagnosis, risk stratification, and classification. Standardized approaches may improve diagnostic consistency and facilitate clinical communication, research, audit, education, and the development of artificial intelligence-based tools. However, implementation requires appropriate training, familiarity with standardized terminology, and integration into routine clinical workflows. Drawing parallels with the widespread adoption of the Breast Imaging Reporting and Data System (BI-RADS) in breast imaging, this commentary highlights the importance of broader adoption of standardized terminology and structured reporting in gynecological ultrasonography. Greater engagement of national professional societies, aligned with established international frameworks and recommendations from the International Society of Ultrasound in Obstetrics and Gynecology (ISUOG), may help promote more consistent reporting practices and enhance patient care.

Indexed as

adenomyosisadnexal massesdiagnostic imagingendometriosisgynaecologyiota-adnex modeliota simple ruleso-rads ultrasoundstandardisationultrasonography

Identifiers

PMID42824308
PMCPMC13627784

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.