Evidence map›Paper›PMID 39525949›Full record

ArticlePulmonary circulation2024

Quantitative pulmonary perfusion in acute pulmonary embolism and chronic thromboembolic pulmonary hypertension.

Jacob V Hansen, Mette W Poulsen, Jens E Nielsen-Kudsk, Mannudeep K Kalra, Mads D Lyhne, Asger Andersen

Abstract read
In one paragraph

Article in Pulmonary circulation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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.

Jacob V HansenDepartment of Cardiology Aarhus University Hospital Aarhus N Denmark.ORCID https://orcid.org/0000-0002-7017-575X
Mette W PoulsenDepartment of Cardiology Aarhus University Hospital Aarhus N Denmark.
Jens E Nielsen-KudskDepartment of Cardiology Aarhus University Hospital Aarhus N Denmark.
Mannudeep K KalraDepartment of Radiology Massachusetts General Hospital Boston Massachusetts USA.
Mads D LyhneDepartment of Clinical Medicine Aarhus University Aarhus N Denmark.
Asger AndersenDepartment of Cardiology Aarhus University Hospital Aarhus N Denmark.ORCID 0000-0002-9102-3130

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Current methods for quantifying perfusion from computed tomography pulmonary angiography (CTPA) often rely on semi-quantitative scoring systems and requires an experienced evaluator. Few studies report on absolute quantitative variables derived from the images, and the methods are varied with mixed results. Dual-energy CTPA (DE-CTPA) enables automatic quantification of lung and lobar perfusion with minimal user interaction by utilizing machine learning based software. We aimed to evaluate differences in DE-CTPA derived quantitative perfusion variables between patients with acute pulmonary embolism (PE) and chronic thromboembolic pulmonary hypertension (CTEPH). This retrospective, single-center, observational study included 162 adult patients diagnosed with PE (

Indexed as

cardiovascular diseasecomputed tomography pulmonary angiographydual‐energy computed tomographymachine learningpulmonary circulation

Identifiers

PMID39525949
PMCPMC11544464

What OpenQuestion holds

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Registered trials

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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.