Evidence map›Paper›PMID 34754612›Full record

ArticleAmerican journal of nuclear medicine and molecular imaging2021

Implementation of FDG-PET/CT imaging methodology for quantification of inflammatory response in patients with locally advanced non-small cell lung cancer: results from the ACRIN 6668/RTOG 0235 trial.

Pegah Jahangiri, Alexandra D Dreyfuss, Fenghai Duan, Bradley S Snyder, Austin J Borja, Kamyar Pournazari, Esha Kothekar, Leila Arani, Abdullah Al-Zaghal, Siavash Mehdizadeh Seraj and 9 more

Open access · greenAbstract read
In one paragraph

Article in American journal of nuclear medicine and molecular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
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

19 authors at 1 institution in 1 country.

Pegah JahangiriDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Alexandra D DreyfussDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Fenghai DuanDepartment of Biostatistics and Center for Statistical Sciences, Brown University School of Public Health Providence 02912, RI, USA.
Bradley S SnyderCenter for Statistical Sciences, Brown University School of Public Health Providence 02912, RI, USA.
Austin J BorjaDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Kamyar PournazariDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Esha KothekarDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Leila AraniDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Abdullah Al-ZaghalDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Siavash Mehdizadeh SerajDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Emily C HancinDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Benjamin PinheiroDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Thomas J WernerDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Samuel Swisher-McClureDepartment of Radiation Oncology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Steven J FeigenbergDepartment of Radiation Oncology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Drew A TorigianDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Mona-Elisabeth RevheimDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Charles B SimoneDepartment of Radiation Oncology, New York Proton Center New York 10035, NY, USA.
Abass AlaviDepartment of Radiology, Hospital of The University of Pennsylvania Philadelphia 19104, PA, USA.
Hospital of the University of Pennsylvania · US

Funding

Project-006U10CA180820 · NCI · ECOG-ACRIN MEDICAL RESEARCH FOUNDATION · PI Peter J ODwyer · 2014 to 2026
$167.6M
Network Lead Academic Participating Site: Memorial Sloan Kettering Cancer CenterUG1CA233290 · NCI · SLOAN-KETTERING INST CAN RESEARCH · PI CAROL AGHAJANIAN, Darren Feldman · 2019 to 2026
$10.2M
NCI NIH HHS U10 CA180820NCI NIH HHS UG1 CA233290
6 · The paper itself

Abstract

We measured changes in 18F-fluorodeoxyglucose (FDG) uptake on positron emission tomography/computed tomography (PET/CT) images in the lung parenchyma to quantify the degree of lung inflammation in patients with locally advanced non-small cell lung cancer (NSCLC) who received radiotherapy (RT). The goal of this study was to demonstrate successful implementation of this imaging methodology on NSCLC patients and to report quantitative statistics between pre-RT and post-RT. Seventy-one patients with NSCLC underwent FDG-PET/CT imaging before and after RT in a prospective study (ACRIN 6668/RTOG 0235). Comparisons between pre-RT and post-RT PET/CT were conducted for partial volume corrected (PVC)-mean standardized uptake value (SUVmean), PVC-global lung parenchymal glycolysis (GLPG), and lung volume for both ipsilateral and contralateral lungs using the nonparametric Wilcoxon signed-rank test. Regression modeling was conducted to associate clinical characteristics with post-RT PET/CT parameters. There was a significant increase in average SUVmean and GLPG of the ipsilateral lung (relative change 40% and 20%) between pre-RT and post-RT PET/CT scans (P<0.0001 and P=0.004). Absolute increases in PVC-SUVmean and PVC-GLPG were more pronounced (ΔPVC-SUVmean 0.32 versus ΔSUVmean 0.28; ΔPVC-GLPG 463.34 cc versus ΔGLPG 352.90 cc) and highly significant (P<0.0001). In contrast, the contralateral lung demonstrated no significant difference between pre-RT to post-RT in either GLPG (P=0.12) or SUVmean (P=0.18). The only clinical feature significantly associated with post-RT PET/CT parameters was clinical staging. Our study demonstrated inflammatory response in the ipsilateral lung of NSCLC patients treated with photon RT, suggesting that PET/CT parameters may serve as biomarkers for radiation pneumonitis (RP).

Indexed as

FDG-PET/CTlung cancerradiation pneumonitisradiotherapy

Identifiers

PMID34754612
PMCPMC8569334
OpenAlexW3213305335

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.