Evidence map›Paper›PMID 33817412›Full record

ArticleAdvances in radiation oncology

Investigating the SPECT Dose-Function Metrics Associated With Radiation-Induced Lung Toxicity Risk in Patients With Non-small Cell Lung Cancer Undergoing Radiation Therapy.

Daniel R Owen, Yilun Sun, Philip S Boonstra, Matthew McFarlane, Benjamin L Viglianti, James M Balter, Issam El Naqa, Matthew J Schipper, Caitlin A Schonewolf, Randall K Ten Haken and 3 more

Open access · goldAbstract read
In one paragraph

Article in Advances in radiation oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
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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

13 authors at 3 institutions in 2 countries.

Daniel R OwenDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Yilun SunDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Philip S BoonstraDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Matthew McFarlaneDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Benjamin L VigliantiDepartment of Radiology, University of Michigan, Ann Arbor, Michigan.
James M BalterDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Issam El NaqaDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Matthew J SchipperDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Caitlin A SchonewolfDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Randall K Ten HakenDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Feng-Ming S KongHong Kong University Shenzhen Hospital and Queen Mary Hospital, Hong Kong University Li Ka Shing Medical School, Department of Clinical Oncology, Hong Kong.
Shruti JollyDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Martha M MatuszakDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
University of Michigan · USQueen Mary Hospital · CNUnited States Department of Veterans Affairs · US

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
FUNCTIONAL IMAGE AND MOLECULAR MARKER TO INDIVIDUALIZE ADAPTIVE RADIATION DOSE ESR01CA142840 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI KONG, FENG-MING P. · 2010 to 2015
$2.0M
NCI NIH HHS P30 CA046592NCI NIH HHS R01 CA142840
6 · The paper itself

Abstract

purposeDose to normal lung has commonly been linked with radiation-induced lung toxicity (RILT) risk, but incorporating functional lung metrics in treatment planning may help further optimize dose delivery and reduce RILT incidence. The purpose of this study was to investigate the impact of the dose delivered to functional lung regions by analyzing perfusion (Q), ventilation (V), and combined V/Q single-photon-emission computed tomography (SPECT) dose-function metrics with regard to RILT risk in patients with non-small cell lung cancer (NSCLC) patients who received radiation therapy (RT). METHODS AND MATERIALS: SPECT images acquired from 88 patients with locally advanced NSCLC before undergoing conventionally fractionated RT were retrospectively analyzed. Dose was converted to the nominal dose equivalent per 2 Gy fraction, and SPECT intensities were normalized. Regional lung segments were defined, and the average dose delivered to each lung region was quantified. Three functional categorizations were defined to represent low-, normal-, and high-functioning lungs. The percent of functional lung category receiving ≥20 Gy and mean functional intensity receiving ≥20 Gy (iV

resultsBy analyzing V/Q normalized intensities and functional distributions across the population, a wide range in functional capability (especially in the ipsilateral lung) was observed in patients with NSCLC before RT. Through multivariable regression models, global lung average dose to the lower lung was found to be significantly associated with RILT, and Q and V iV

conclusionsIrradiation of the inferior lung appears to be a locational sensitivity for RILT risk. The multivariable correlation between ipsilateral lung iV

Identifiers

PMID33817412
PMCPMC8010578
OpenAlexW3127191741

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.