Evidence map›Paper›PMID 41081238›Full record

ArticleQuantitative imaging in medicine and surgery2025

Multimodal image fusion guidance for the treatment of structural heart disease and aortic dissection in hybrid operation room: a single-center case series in a hybrid operating room.

Liang Zhao, Jidong Liu, Zhiqing Qiao, Yi Qiu, Yan Zhou, Ji Wang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. 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
–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

1 citing paper in PubMed.

  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

6 authors.

Liang Zhao *Department of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Jidong Liu *Department of Cardiovascular Surgery, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Zhiqing Qiao *Department of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0009-0001-2471-8119
Yi QiuAdvanced Therapies, Siemens Healthineers Ltd., Shanghai, China.ORCID https://orcid.org/0009-0003-1002-6861
Yan ZhouDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
Ji WangDepartment of Radiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.ORCID https://orcid.org/0000-0002-7037-4652

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Angiography and transesophageal echocardiography are limited by the lack of providing detailed three-dimensional (3D) cardiovascular stereo-anatomy intraoperatively. Currently, numerous researchers have utilized advanced functionalities from various imaging manufacturers to integrate multimodal images for intraoperative navigation. Nevertheless, the clinical application of such techniques is often compromised by suboptimal registration accuracy, primarily attributable to positional changes of the patient across preoperative imaging and intraoperative settings. This study aimed to propose a novel multimodal image fusion method to guide cardiovascular interventions. Methods: In this retrospective study, we introduce the image fusion method that integrates preoperative computed tomography angiography (CTA) and intraoperative cone-beam computed tomography (CBCT) to improve 3D real-time fusion navigation in treating structural heart diseases and aortic dissection. Furthermore, this study provides a comprehensive description of the technical details for this method and retrospectively reviews the specific applications of this method in a single-center setting. Results: Seven cases demonstrated the effectiveness of this technique in enhancing procedural accuracy and outcomes. In these cases, the 3D fusion roadmap provided important navigational information for minimally invasive procedures to accurately implant prosthetic valves and stents. All procedures achieved satisfactory outcomes with reduced fluoroscopic radiation exposure. Conclusions: The multimodal image fusion roadmap offers detailed and stereoscopic guidance of cardiovascular minimally invasive treatments. It has great potential to help improve procedural efficiency and reduce complication rates.

Indexed as

3D roadmapcase seriesImage fusionmulti-volumestructural heart disease (SHD)

Identifiers

PMID41081238
PMCPMC12514664

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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.