Evidence map›Paper›PMID 33102634›Full record

ArticleEuropean journal of radiology open2020

Three cases of pulmonary tumor thrombotic microangiopathy (PTTM): Challenge in antemortem diagnosis using lung perfusion blood volume images by dual-energy computed tomography.

Hiroki Kamada, Hideki Ota, Yosuke Terui, Koichiro Sugimura, Shigefumi Fukui, Hiroaki Shimokawa, Kei Takase

Open access · goldAbstract readCase Reports
In one paragraph

Article in European journal of radiology open, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.4field-weighted citation impact, top 43% 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

10 citing papers in PubMed, 12 citations in OpenAlex.

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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

7 authors at 2 institutions in 1 country.

Hiroki KamadaDepartment of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan.
Hideki OtaDepartment of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan.
Yosuke TeruiDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Koichiro SugimuraDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Shigefumi FukuiDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Hiroaki ShimokawaDepartment of Cardiovascular Medicine, Tohoku University Graduate School of Medicine, Sendai, Japan.
Kei TakaseDepartment of Diagnostic Radiology, Tohoku University Hospital, Sendai, Japan.
Tohoku University · JPTohoku University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary tumor thrombotic microangiopathy (PTTM) is a specific type of tumor embolism in the small and medium pulmonary arteries, leading to rapid progressive pulmonary hypertension. Antemortem diagnosis of PTTM is extremely difficult. We encountered three patients who were histopathologically or clinically diagnosed with PTTM. In all cases, lung perfused blood volume (PBV) images on dual-energy computed tomography (CT) demonstrated multiple subpleural wedge-shaped defects with no evidence of pulmonary embolism on CT pulmonary angiography. The lung PBV images demonstrated small pulmonary arterial obstruction reflecting the pathology of PTTM. Therefore, lung PBV imaging would be useful for antemortem diagnosis of PTTM.

Indexed as

Dual-energy computed tomography (CT)Lung perfused blood volume (PBV) imagesPulmonary hypertensionPulmonary tumor thrombotic microangiopathy (PTTM)

Identifiers

PMID33102634
PMCPMC7569404
OpenAlexW3004041589

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.