Evidence map›Paper›PMID 41737409›Full record

ArticleFrontiers in medicine2026

Magnetic resonance imaging-based classification of cesarean scar pregnancy: prediction of intraoperative blood loss and the role of preoperative uterine artery embolization.

Xiang Li, Tiankuan Li, Mujun Dong, Jiahuan Liu, Fei Wang, Xiaojun Yang

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

6 authors.

Xiang Li *Department of Radiology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, Zhejiang, China.
Tiankuan Li *Department of Radiology, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mujun DongDepartment of Radiology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, Zhejiang, China.
Jiahuan LiuDepartment of Radiology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, Zhejiang, China.
Fei WangDepartment of Radiology, Quzhou Maternal and Child Health Care Hospital, Quzhou, Zhejiang, China.
Xiaojun YangDepartment of Radiology, Quzhou People's Hospital, The Quzhou Affiliated Hospital of Wenzhou Medical University, Quzhou, Zhejiang, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: To establish a magnetic resonance imaging (MRI)-based classification system for cesarean scar pregnancy (CSP), assess its ability to predict intraoperative blood loss, and evaluate the effectiveness of prophylactic uterine artery embolization (UAE). Methods: Ninety-eight women diagnosed with CSP who underwent MRI evaluation between May 2016 and September 2023, and CSP was classified into three subtypes according to sac morphology, vascular characteristics, and scar myometrial thickness. Subgroups were further stratified by preoperative UAE status. Intraoperative blood loss during pregnancy termination, evaluated by regression analysis and intergroup comparison. Results: Thirty-five patients were classified as type I, 35 as type II, and 28 as type III. Type I CSPs typically showed simple cystic sacs with minimal vascularity, while type II exhibited moderate vascularity and mixed cystic-solid features. Type III was characterized by large mixed cystic-solid sacs with prominent vascular flow voids, vascular lakes, and arteriovenous fistulas. Median intraoperative blood loss was 20 mL for type I, 50 mL for type II, and 265 mL for type III ( Conclusion: Magnetic resonance imaging classification provides a reliable framework to stratify hemorrhage risk in CSP. Type III is associated with substantial intraoperative bleeding, and preoperative UAE is highly effective in mitigating this risk. Incorporating MRI classification into routine assessment may guide individualized management and improve surgical outcomes.

Indexed as

cesarean scar pregnancydilation and curettageintraoperative hemorrhagemagnetic resonance imaginguterine artery embolization

Identifiers

PMID41737409
PMCPMC12926364

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.