Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 622

The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.

Müllerian Duct Anomalies: Imaging and Clinical Issues

Troiano, Robert N., McCarthy, Shirley M.·2004·Radiology

Abstract

While estimates of the frequency of müllerian duct anomalies vary widely owing to different patient populations, nonstandardized classification systems, and differences in diagnostic data acquisition, these anomalies are clinically important, particularly in women who present with infertility. An understanding of the differences between these uterovaginal anomalies, as outlined in the most widely accepted classification system-that published by the American Fertility Society (AFS) in 1988-is imperative given the respective clinical manifestations, different treatment regimens, and prognosis for fetal salvage. Although the AFS classification system serves as a framework for description of anomalies, communication among physicians, and comparison of therapeutic modalities, there often is confusion about appropriate reporting of certain anomalies, particularly those with features of more than one class. Many of the anomalies are initially diagnosed at hysterosalpingography and ultrasonography; however, further imaging is often required for definitive diagnosis and elaboration of secondary findings. At this time, magnetic resonance imaging is the study of choice because of its high accuracy and detailed elaboration of uterovaginal anatomy. Laparoscopy and hysteroscopy are reserved for women in whom interventional therapy is likely to be undertaken.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1148/radiol.2331020777

Cites

48 of 48 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 48 references

Cited by

See all 622

Metadata

Authors
Troiano, R. N., & McCarthy, S. M.
Venue
Radiology
Published
2004-10
Volume
233
Issue
1
Pages
19-34
ISSN
  • 0033-8419 (ISSN-L)
  • 1527-1315
OpenAlex
W2100148541
Cited by
622
References
48
FWCI
19.03
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Müllerian Duct Anomalies: Imaging and Clinical Issues. https://app.cochat.ai/papers/10.1148/radiol.2331020777
The paper
Troiano, R. N., & McCarthy, S. M. (2004). Müllerian Duct Anomalies: Imaging and Clinical Issues. Radiology. https://doi.org/10.1148/radiol.2331020777

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.