Evidence map›Paper›PMID 33529053›Full record

ReviewThe British journal of radiology2022

Overview of MRI for pulmonary functional imaging.

Yoshiharu Ohno, Satomu Hanamatsu, Yuki Obama, Takahiro Ueda, Hirotaka Ikeda, Hidekazu Hattori, Kazuhiro Murayama, Hiroshi Toyama

Open access · bronzeAbstract readReview
In one paragraph

Review in The British journal of radiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 6% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Deep learning-based lung volume estimation with dynamic chest radiography.Journal of applied clinical medical physics · 2026
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  18. The British journal of radiology · 2022
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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

8 authors at 1 institution in 1 country.

Yoshiharu OhnoDepartment of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.
Satomu HanamatsuDepartment of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.
Yuki ObamaDepartment of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.
Takahiro UedaDepartment of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.
Hirotaka IkedaDepartment of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.
Hidekazu HattoriDepartment of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.
Kazuhiro MurayamaJoint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake, Japan.
Hiroshi ToyamaDepartment of Radiology, Fujita Health University, School of Medicine, Toyoake, Japan.
Fujita Health University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Morphological evaluation of the lung is important in the clinical evaluation of pulmonary diseases. However, the disease process, especially in its early phases, may primarily result in changes in pulmonary function without changing the pulmonary structure. In such cases, the traditional imaging approaches to pulmonary morphology may not provide sufficient insight into the underlying pathophysiology. Pulmonary imaging community has therefore tried to assess pulmonary diseases and functions utilizing not only nuclear medicine, but also CT and MR imaging with various technical approaches. In this review, we overview state-of-the art MR methods and the future direction of: (1) ventilation imaging, (2) perfusion imaging and (3) biomechanical evaluation for pulmonary functional imaging.

Indexed as

LungMagnetic Resonance ImagingHumansRadionuclide ImagingRespirationThorax

Identifiers

PMID33529053
PMCPMC9153702
OpenAlexW3126503924

What OpenQuestion holds

Textmetadata
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.