Evidence map›Paper›PMID 39252735›Full record

ArticleCureus2024

Application of the International Endometrial Tumor Analysis (IETA) in Ultrasound Evaluation of Abnormal Uterine Bleeding.

Yashraj Patil, Aryaman Dhande, Sanjay M Khaladkar, Prajakta P Kirdat Patil

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

4 authors.

Yashraj PatilRadiodiagnosis, Dr. D. Y. Patil Medical College, Hospital & Research Centre, Pune, IND.
Aryaman DhandeRadiodiagnosis, Dr. D. Y. Patil Medical College, Hospital & Research Centre, Pune, IND.
Sanjay M KhaladkarRadiodiagnosis, Dr. D. Y. Patil Medical College, Hospital & Research Centre, Pune, IND.
Prajakta P Kirdat PatilRadiodiagnosis, Dr. D. Y. Patil Medical College, Hospital & Research Centre, Pune, IND.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionAbnormal uterine bleeding (AUB) affects a significant proportion of women, particularly around the ages of menarche and menopause. While ultrasonography is a primary diagnostic tool for AUB, techniques like the International Endometrial Tumor Analysis (IETA) scoring system have enhanced diagnostic accuracy for endometrial abnormalities. IETA provides a standardized approach to evaluating endometrial features, which aids in distinguishing benign from malignant lesions.

methodsThis study applied the IETA scoring system to the ultrasound evaluation of 50 women presenting with AUB. The study assessed various endometrial characteristics, including thickness, echogenicity, midline appearance, junction regularity, and vascular patterns. Data were analyzed to correlate IETA scores with histopathological findings and to compare the ultrasound features of benign and malignant lesions.

resultsThe study found that non-uniform endometrial characteristics and irregular midline appearances were more common in malignant lesions. Specifically, interrupted or irregular endometrial-myometrial junctions, absence of the bright edge, higher color scores, and complex vascular patterns were significantly associated with malignancy. Mean endometrial thickness was notably higher in malignant cases compared to benign ones, with a statistically significant difference. The most frequent IETA scores were 7, 12, and 13.

conclusionIntegrating the IETA scoring system into ultrasound evaluation enhances the detection of endometrial abnormalities, improving the differentiation between benign and malignant lesions. This approach provides a reliable framework for diagnosing and managing AUB, potentially reducing the need for invasive procedures and facilitating better clinical decision-making.

Indexed as

abnormal uterine bleedingendometrial pathologyietainternational endometrial tumor analysisultrasonography

Identifiers

PMID39252735
PMCPMC11382330

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