Evidence map›Paper›PMID 38940890›Full record

ArticleJournal of imaging informatics in medicine2024

Myocardial Transit Time Mapping by CMR: A Novel Indicator of Microcirculatory Dysfunction in Cardiac Amyloidosis.

Jinxiu Yang, Zhen Wang, Huimin Wang, Peiyang Zheng, Wei Deng, Hui Gao, Kaixuan Yao, Yong Cheng, Mingkuan Wu, Rong He and 4 more

Abstract read
In one paragraph

Article in Journal of imaging informatics in medicine, 2024. 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

14 authors.

Jinxiu Yang *Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Zhen Wang *Department of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Huimin WangDepartment of Cardiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Peiyang ZhengDepartment of Cardiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Wei DengDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Hui GaoDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Kaixuan YaoDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Yong ChengDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Mingkuan WuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Rong HeDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Xiuzheng YuePhilips Healthcare, Beijing, 100000, China.
Yongqiang YuDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China.
Ren ZhaoDepartment of Cardiology, The First Affiliated Hospital of Anhui Medical University, No.218 Jixi Road, Hefei, Anhui, 230022, China. zhaoren@ahmu.edu.cn.
Xiaohu LiDepartment of Radiology, The First Affiliated Hospital of Anhui Medical University, Research Center of Clinical Medical Imaging, Anhui Province Clinical Image Quality Control Center, No.218 Jixi Road, Hefei, Anhui, 230022, China. lixiaohu@ahmu.edu.cn.ORCID 0000-0002-9084-1254

Funding

Anhui Provincial Natural Science Foundation 202304295107020027Anhui Provincial Natural Science Foundation 202304295107020028Anhui Provincial Natural Science Foundation 202304295107020029Anhui Provincial Natural Science Foundation 2308085Y48National Natural Science Foundation of China 81970446National Natural Science Foundation of China 82071897National Natural Science Foundation of China 82371949National Natural Science Foundation of China 82371959Science Fund for Distinguished Young Scholars of Anhui Province 2022AH020071
6 · The paper itself

Abstract

Cardiac amyloidosis (CA) is characterized by the deposition of amyloid fibrils within the myocardium, resulting in a restrictive physiology. Although microvascular dysfunction is a common feature, it is difficult to assess. This study aimed to explore myocardial transit time (MyoTT) by cardiovascular magnetic resonance (CMR) as a potential novel parameter of microcirculatory dysfunction in CA. This prospective study enrolled 20 CA patients and 20 control subjects. CMR acquisition included cine imaging, pre- and post-contrast T1 mapping, and MyoTT assessment, which was calculated from the time delay in contrast agent arrival between the aortic root and coronary sinus (CS). Compared to the control group, patients with CA exhibited significantly reduced left ventricular (LV) ejection fraction and myocardial strain, an increase in LV global peak wall thickness (LVGPWT), extracellular volume fraction (ECV), and prolonged MyoTT (14.4 ± 3.8 s vs. 7.7 ± 1.5 s, p < 0.001). Moreover, patients at Mayo stage III had a significantly longer MyoTT compared to those at stage I/II. MyoTT showed a positive correlation with the ECV, LVGPWT, and LV global longitudinal strain (LV-GLS) (p < 0.05). The area under the curve (AUC) for MyoTT was 0.962, demonstrating diagnostic performance comparable to that of the ECV (AUC 0.995) and LV-GLS (AUC 0.950) in identifying CA. MyoTT is significantly prolonged in patients with CA, correlating with fibrosis markers, remodeling, and dysfunction. As a novel parameter of coronary microvascular dysfunction (CMD), MyoTT has the potential to be an integral biomarker in multiparametric CMR assessment of CA.

Indexed as

AmyloidosisMicrocirculationAgedCardiomyopathiesCase-Control StudiesFemaleHumansMagnetic Resonance Imaging, CineMaleMiddle AgedMyocardiumProspective StudiesCardiac amyloidosisCardiovascular magnetic resonanceCoronary microvascular dysfunctionExtracellular volume fractionMyocardial transit-time

Identifiers

PMID38940890
PMCPMC11612126

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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.