Evidence map›Paper›PMID 37568881›Full record

ReviewDiagnostics (Basel, Switzerland)2023

Area-Detector Computed Tomography for Pulmonary Functional Imaging.

Yoshiharu Ohno, Yoshiyuki Ozawa, Hiroyuki Nagata, Shuji Bando, Shang Cong, Tomoki Takahashi, Yuka Oshima, Nayu Hamabuchi, Takahiro Matsuyama, Takahiro Ueda and 3 more

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. Review
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

13 authors at 2 institutions in 1 country.

Yoshiharu OhnoDepartment of Diagnostic Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.ORCID 0000-0002-4431-1084
Yoshiyuki OzawaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Hiroyuki NagataJoint Research Laboratory of Advanced Medical Imaging, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Shuji BandoDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Shang CongDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Tomoki TakahashiDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Yuka OshimaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Nayu HamabuchiDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Takahiro MatsuyamaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Takahiro UedaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.ORCID 0000-0003-2577-3619
Takeshi YoshikawaDepartment of Diagnostic Radiology, Hyogo Cancer Center, Akashi 673-0021, Hyogo, Japan.
Daisuke TakenakaDepartment of Diagnostic Radiology, Hyogo Cancer Center, Akashi 673-0021, Hyogo, Japan.ORCID 0000-0002-9432-7180
Hiroshi ToyamaDepartment of Radiology, Fujita Health University School of Medicine, Toyoake 470-1192, Aichi, Japan.
Fujita Health University · JPHyogo Prefectural Cancer Center · JP

Funding

Canon Medical System Corporation N/ASmoking Research Foundation N/A
6 · The paper itself

Abstract

An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic scanning for the qualitative or quantitative evaluation of regional perfusion within nodules, lymph nodes, or tumors. Moreover, this system can obtain CT data with not only helical but also step-and-shoot or wide-volume scanning for body CT imaging. ADCT also has the potential to use dual-energy CT and subtraction CT to enable contrast-enhanced visualization by means of not only iodine but also xenon or krypton for functional evaluations. Therefore, systems using ADCT may be able to function as a pulmonary functional imaging tool. This review is intended to help the reader understand, with study results published during the last a few decades, the basic or clinical evidence about (1) newly applied reconstruction methods for radiation dose reduction for functional ADCT, (2) morphology-based pulmonary functional imaging, (3) pulmonary perfusion evaluation, (4) ventilation assessment, and (5) biomechanical evaluation.

Indexed as

area-detector CTlungmultidetector computed tomographypulmonary functionradiation dose

Identifiers

PMID37568881
PMCPMC10416899
OpenAlexW4385347160

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.