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

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

PMC · DOI: 10.3389/fmed.2026.1734573 · Frontiers in Medicine · 2026-02-09

## TL;DR

This study introduces an MRI-based classification system for cesarean scar pregnancy that predicts blood loss during surgery and evaluates the effectiveness of preoperative uterine artery embolization.

## Contribution

A novel MRI-based classification system for cesarean scar pregnancy that predicts intraoperative blood loss and guides preoperative intervention.

## Key findings

- Type III CSP is associated with significantly higher intraoperative blood loss compared to other types.
- Preoperative UAE significantly reduces blood loss in type III CSP patients.
- MRI classification can guide individualized management and improve surgical outcomes for CSP.

## Abstract

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).

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.

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 (p < 0.001). Multiple linear regression confirmed type III as the strongest independent predictor of hemorrhage (β = 327.2, p < 0.001). Among type III patients, preoperative UAE significantly reduced blood loss (p < 0.001), whereas, based on the limited data from this study, no significant benefit of preoperative UAE was observed in patients with type I or type II.

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.

## Full-text entities

- **Diseases:** uterine injury (MESH:D014591), artery embolization (MESH:D004617), allergy (MESH:D004342), Vaginal (MESH:D014627), Type III (MESH:C536044), necrotic (MESH:D009336), ovarian artery occlusion (MESH:D010049), CSP (MESH:D011254), intra-abdominal bleeding (MESH:D000082122), arteriovenous fistula (MESH:D001164), vaginal bleeding (MESH:D014592), II (MESH:C537730), III (MESH:C537189), blood (MESH:D006402), infection (MESH:D007239), coagulation disorders (MESH:D001778), dizziness (MESH:D004244), hemorrhagic shock (MESH:D012771), bleeding (MESH:D006470), placenta accreta (MESH:D010921), contrast allergies (MESH:D005119), I (MESH:D006969), cesarean scar (MESH:D002921), fever (MESH:D005334), vomiting (MESH:D014839), Amenorrhea (MESH:D000568), hematoma (MESH:D006406), CSeP (MESH:D011271), pain (MESH:D010146), uterine rupture (MESH:D014597), pseudoaneurysm (MESH:D017541), aneurysms (MESH:D000783), blood loss (MESH:D016063)
- **Chemicals:** anisodamine (MESH:C003922), Gadopentetate dimeglumine (MESH:D019786), MTX (MESH:D008727), water (MESH:D014867)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

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## References

21 references — full list in the complete paper: https://tomesphere.com/paper/PMC12926364/full.md

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Source: https://tomesphere.com/paper/PMC12926364