Evidence map›Paper›PMID 37152713›Full record

ArticleMolecular and clinical oncology2023

Measurements of target volumes and organs at risk using DW‑MRI in patients with central lung cancer accompanied with atelectasis.

Xinli Zhang, Tong Liu, Hong Zhang, Mingbin Zhang

Open access · diamondAbstract read
In one paragraph

Article in Molecular and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 86% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

4 authors at 2 institutions in 1 country.

Xinli ZhangDepartment of Medical Oncology, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, Shandong 271000, P.R. China.
Tong LiuDepartment of Stomatology, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, Shandong 271000, P.R. China.
Hong ZhangDepartment of Medical Oncology, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, Shandong 271000, P.R. China.
Mingbin ZhangDepartment of Stomatology, The Affiliated Tai'an City Central Hospital of Qingdao University, Tai'an, Shandong 271000, P.R. China.
Qingdao University · CNTaian City Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate imaging-based tumor delineation is crucial for guiding the radiotherapy treatments of various solid tumors. Currently, several imaging procedures, including diffusion-weighted magnetic resonance imaging (DW-MRI), intensified computed tomography and positron emission tomography are routinely used for targeted tumor delineation. However, the performance of these imaging procedures has not yet been comprehensively evaluated. In order to address this matter, the present study was conducted in an aim to assess the use of DW-MRI in guiding radiotherapy treatments, by comparing its performance to that of other imaging procedures. Specifically, the exposure dosages to organs at risk, including the lungs, heart and spinal mencord, were evaluated using various radiotherapy regimes. The findings of the present study demonstrated that DW-MRI is a non-invasive and cost-effective imaging procedure that can be used to reduce lung exposure doses, minimizing the risk of radiation pneumonitis. The data further demonstrate the immense potential of the DW-MRI procedure in the precision radiotherapy of lung cancers.

Indexed as

atelectasiscentral lung cancerdiffusion-weighted magnetic resonance imagingorgans at riskradiotherapy

Identifiers

PMID37152713
PMCPMC10155240
OpenAlexW4365447655

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.