Nomogram-based predictive model for intra-myometrial contrast agent reflux using imaging features from 4D hysterosalpingo-contrast sonography.

The nomogram model, based on infertility type, endometrial thickness, contrast agent dose, and discomfort symptoms, effectively predicts intra-myometrial contrast agent reflux after 4D HyCoSy. It provides a valuable tool for clinicians to implement early preventive measures and reduce the risk of contrast leakage and associated complications.

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Publication Details

Journal
PubMed
Published
2025-01-28
DOI
https://doi.org/10.11817/j.issn.1672-7347.2025.240094
Primary Topic
Gynecological conditions and treatments
Type
article
Field-Weighted Citation Impact
0.00
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article

Nomogram-based predictive model for intra-myometrial contrast agent reflux using imaging features from 4D hysterosalpingo-contrast sonography.

Long Pan, Xia Yang, Jingjia Yi, Baiyun Zhang et al.
PubMed
Gynecological conditions and treatments
article

Nomogram-based predictive model for intra-myometrial contrast agent reflux using imaging features from 4D hysterosalpingo-contrast sonography.

Long Pan, Xia Yang, Jingjia Yi, Baiyun Zhang, Lin Wang, Xingping Zhao
article en

Abstract

The nomogram model, based on infertility type, endometrial thickness, contrast agent dose, and discomfort symptoms, effectively predicts intra-myometrial contrast agent reflux after 4D HyCoSy. It provides a valuable tool for clinicians to implement early preventive measures and reduce the risk of contrast leakage and associated complications.

PubMedVol. 50(1)
Central South University (CN), Hunan Children's Hospital (CN), Hunan Provincial People's Hospital (CN), Third Xiangya Hospital (CN), Hunan Provincial Maternal and Child Health Hospital (CN)
Openalex Percentile: Top 83%
Gynecological conditions and treatments
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