Evidence map›Paper›PMID 36754064›Full record

ArticleThrombosis and haemostasis2023

Thrombus Signal on T1-Weighted Black-Blood MR Predicts Outcomes of Catheter-Directed Thrombolysis in Acute Deep Vein Thrombosis.

Chen Huang, Xueping He, Yueyuan Xie, Hanwei Chen, Yufeng Ye, Yi Sun, Rohan Dharmakumar, Robert K Ryu, Debiao Li, Guoxi Xie and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Thrombosis and haemostasis, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it, 4 citations in OpenAlex.

  1. Pooled it
  2. Observational
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

11 authors at 5 institutions in 2 countries.

Chen HuangDepartment of Minimally Invasive Interventional Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
Xueping HeDepartment of Radiology, Medical Imaging Institute of Panyu, Guangzhou Panyu Central Hospital, Guangzhou, China.
Yueyuan XieDepartment of Anesthesiology, Mindong Hospital, Ningde, China.
Hanwei ChenDepartment of Minimally Invasive Interventional Radiology, Guangzhou Panyu Central Hospital, Guangzhou, China.
Yufeng YeDepartment of Radiology, Medical Imaging Institute of Panyu, Guangzhou Panyu Central Hospital, Guangzhou, China.
Yi SunSiemens Healthineers, Shanghai, China.
Rohan DharmakumarBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States.
Robert K RyuDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States.
Debiao LiBiomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, United States.
Guoxi XieDepartment of Biomedical Engineering, The Sixth Affiliated Hospital, Guangzhou Medical University, Guangzhou, China.
Zhaoyang FanDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, California, United States.
Panyu District Central Hospital · CNCedars-Sinai Medical Center · USUniversity of Southern California · USGuangzhou Medical University · CNSiemens (China) · CN

Funding

Guangdong Medical Science and Technology Research Foundation B2021376Guangzhou Science and Technology Planning Project 202103000002National Natural Science Foundation of China 81729003National Natural Science Foundation of China 81971607Panyu Major Science Technology Planning Project 2020-Z04-002
6 · The paper itself

Abstract

objectivesCatheter-directed thrombolysis (CDT) is an effective therapy for acute deep vein thrombosis (DVT). However, predicting the CDT outcomes remains elusive. We hypothesized that the thrombus signal on T1-weighted black-blood magnetic resonance (MR) can provide insight into CDT outcomes in acute DVT patients.

methodsA total of 117 patients with acute iliofemoral DVT were enrolled for T1-weighted black-blood MR before CDT in this prospective study. Based on the signal contrast between thrombus and adjacent muscle, patients were categorized into the iso-intense thrombus (Iso-IT), hyper-intense thrombus (Hyper-IT), and mixed iso-/hyper-intense thrombi (Mixed-IT) groups. Immediate treatment outcome (i.e., vein patency) and long-term treatment outcome (i.e., the incidence rate of postthrombotic syndrome) were accessed by the same expert. Histological analysis and iron quantification were performed on thrombus samples to characterize the content of fibrin, collagen, and the ratio of Fe

resultsCompared to Mixed-IT and Hyper-IT groups, the Iso-IT group had the best lytic effect (90.5 ± 1.6% vs. 78.4 ± 2.6% vs. 46.5 ± 3.3%,

conclusionThrombus signal characteristics on T1-weighted black-blood MR is associated with CDT outcomes and possesses potential to serve as a noninvasive approach to guide treatment decision making in acute DVT patients. KEY POINTS: · Thrombus signal on T1-weighted black-blood MR is associated with lytic therapeutic outcome in acute DVT patients.. · Presence of iso-intense thrombus revealed by T1-weighted black-blood MRI is associated with successful thrombolysis, low bleeding ratio, and low incidence of the postthrombotic syndrome.. · T1-weighted thrombus signal characteristics may serve as a noninvasive imaging marker to predict CDT treatment outcomes and therefore guide treatment decision making in acute DVT patients..

Indexed as

Postphlebitic SyndromePostthrombotic SyndromeVenous ThrombosisCathetersFemoral VeinFibrinHemorrhageHumansIliac VeinMagnetic Resonance ImagingMagnetic Resonance SpectroscopyProspective StudiesRetrospective StudiesThrombolytic TherapyTreatment OutcomeFibrin

Identifiers

PMID36754064
PMCPMC10060054
OpenAlexW4319462027

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.