Evidence map›Paper›PMID 36760259›Full record

ArticleAnnals of translational medicine2023

Risk assessment of severe postpartum hemorrhage after invasive placenta accreta based on three-dimensional reconstruction of magnetic resonance imaging.

Liqun Liu, Xiaoli Yan, Jingjing Liu, Ping Yan, Mingshan Du, Runyuan Wang, Yi Wu, Dan Wang

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.2field-weighted citation impact, top 21% of its field
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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

8 authors at 2 institutions in 1 country.

Liqun Liu *Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Xiaoli Yan *Department of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Jingjing LiuDepartment of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
Ping YanDepartment of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Mingshan DuDepartment of Radiology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Runyuan WangDepartment of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
Yi WuDepartment of Digital Medicine, College of Biomedical Engineering and Medical Imaging, Army Medical University (Third Military Medical University), Chongqing, China.
Dan WangDepartment of Obstetrics and Gynecology, Southwest Hospital, Army Medical University (Third Military Medical University), Chongqing, China.
Army Medical University · CNSouthwest Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The aim of this study was to investigate the significance and feasibility of risk assessments based on the three-dimensional (3D) reconstruction of magnetic resonance imaging (MRI) of invasive placenta accreta (IPA) to create individualized surgical protocols and perioperative management plans in late pregnancy. Methods: MRI and clinical data of 36 pregnant women with IPA admitted to Southwest Hospital from January 2017 to June 2021 were retrospectively analyzed. The patients were divided into the following 4 groups: peripartum hysterectomy (PH), abdominal aortic balloon block (AABB), PH with AABB, and nonsurgical treatment. Each group was then divided into severe and nonsevere postpartum hemorrhage subgroups based on postpartum hemorrhage volumes of not more than 2,000 mL and more than 2,000 mL, respectively. The uteri, placentas, IPA, and urinary bladders in each group were segmented and 3-dimensionally reconstructed using Amira 5.2.2 (Visage Imaging, Richmond, Australia) software, and their surface areas and volumes were calculated. A multifactorial unconditional logistic regression analysis was performed to evaluate the 3D morphological parameters of postpartum hemorrhage and calculate the optimal threshold. Results: The bleeding volume, IPA area, placental area:uterine area ratio, IPA area:placental area ratio, maximum depth of IPA, placental position score, IPA position score, and implantation volume were greater in the severe postpartum hemorrhage subgroup than in the nonsevere postpartum hemorrhage subgroup of all groups. In the multifactorial regression analysis, the areas under the receiver operating characteristic curve of the implantation area, implantation volume, maximum depth of implantation, and implantation area:placental area ratio exceeded 0.9 and correlated strongly with severe postpartum hemorrhage, while those of the uterine area, uterine volume, placental area, placental volume, and placental area:uterine area ratio were between 0.5 and 0.7 and correlated with severe postpartum hemorrhage. The threshold (cutoff values) determining severe postpartum hemorrhage were 20,286.25 mm Conclusions: The MRI 3D reconstruction of IPA and its adjacent structures can accurately display the location, anatomical morphology, and spatial relationship of IPA, which can be used to improve the accuracy of IPA diagnosis, predict postpartum hemorrhage, and provide optimized treatment decisions for obstetricians.

Indexed as

3D reconstructioninvasive placenta accretaMagnetic resonance imaging (MRI)placenta accreta spectrumrisk assessment

Identifiers

PMID36760259
PMCPMC9906210
OpenAlexW4315487975

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.