Evidence map›Paper›PMID 27681764›Full record

ArticleInternational journal of radiation oncology, biology, physics2016

(18)F-Fluorodeoxyglucose Positron Emission Tomography Can Quantify and Predict Esophageal Injury During Radiation Therapy.

Joshua S Niedzielski, Jinzhong Yang, Zhongxing Liao, Daniel R Gomez, Francesco Stingo, Radhe Mohan, Mary K Martel, Tina M Briere, Laurence E Court

Open access · greenAbstract read
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
4.0field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 20 citations in OpenAlex.

  1. Multiomic random forest toxicity modeling of radiation esophagitis.Physics and imaging in radiation oncology · 2025
    Article
  2. Healthy tissue metabolism assessed by [Scientific reports · 2024
    Article
  3. Early Prediction of Acute Esophagitis for Adaptive Radiation Therapy.International journal of radiation oncology, biology, physics · 2021
    Article
  4. Article
  5. Toward personalized dose-prescription in locally advanced non-small cell lung cancer: Validation of published normal tissue complication probability models.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2019
    Article
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  9. 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

9 authors at 1 institution in 1 country.

Joshua S NiedzielskiDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Texas Houston Graduate School of Biomedical Science, Houston, Texas. Electronic address: jsniedzielski@mdanderson.org.
Jinzhong YangDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Texas Houston Graduate School of Biomedical Science, Houston, Texas.
Zhongxing LiaoDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Daniel R GomezDepartment of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Francesco StingoDepartment of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, Texas.
Radhe MohanDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Texas Houston Graduate School of Biomedical Science, Houston, Texas.
Mary K MartelDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Texas Houston Graduate School of Biomedical Science, Houston, Texas.
Tina M BriereDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Texas Houston Graduate School of Biomedical Science, Houston, Texas.
Laurence E CourtDepartment of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas; University of Texas Houston Graduate School of Biomedical Science, Houston, Texas.
The University of Texas MD Anderson Cancer Center · US

Funding

Statistics, Data Exchange, Management and SupportP01CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI DELANEY, THOMAS F · 1985 to 2013
$28.3M
MDACC Clinical and Research Physics SupportU19CA021239 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI MOHAN, RADHE · 2014 to 2018
$11.2M
NCI NIH HHS P01 CA021239NCI NIH HHS U19 CA021239
6 · The paper itself

Abstract

purposeWe sought to investigate the ability of mid-treatment (18)F-fluorodeoxyglucose positron emission tomography (PET) studies to objectively and spatially quantify esophageal injury in vivo from radiation therapy for non-small cell lung cancer. METHODS AND MATERIALS: This retrospective study was approved by the local institutional review board, with written informed consent obtained before enrollment. We normalized (18)F-fluorodeoxyglucose PET uptake to each patient's low-irradiated region (<5 Gy) of the esophagus, as a radiation response measure. Spatially localized metrics of normalized uptake (normalized standard uptake value [nSUV]) were derived for 79 patients undergoing concurrent chemoradiation therapy for non-small cell lung cancer. We used nSUV metrics to classify esophagitis grade at the time of the PET study, as well as maximum severity by treatment completion, according to National Cancer Institute Common Terminology Criteria for Adverse Events, using multivariate least absolute shrinkage and selection operator (LASSO) logistic regression and repeated 3-fold cross validation (training, validation, and test folds). This 3-fold cross-validation LASSO model procedure was used to predict toxicity progression from 43 asymptomatic patients during the PET study. Dose-volume metrics were also tested in both the multivariate classification and the symptom progression prediction analyses. Classification performance was quantified with the area under the curve (AUC) from receiver operating characteristic analysis on the test set from the 3-fold analyses.

resultsStatistical analysis showed increasing nSUV is related to esophagitis severity. Axial-averaged maximum nSUV for 1 esophageal slice and esophageal length with at least 40% of axial-averaged nSUV both had AUCs of 0.85 for classifying grade 2 or higher esophagitis at the time of the PET study and AUCs of 0.91 and 0.92, respectively, for maximum grade 2 or higher by treatment completion. Symptom progression was predicted with an AUC of 0.75. Dose metrics performed poorly at classifying esophagitis (AUC of 0.52, grade 2 or higher mid treatment) or predicting symptom progression (AUC of 0.67).

conclusionsNormalized uptake can objectively, locally, and noninvasively quantify esophagitis during radiation therapy and predict eventual symptoms from asymptomatic patients. Normalized uptake may provide patient-specific dose-response information not discernible from dose.

Indexed as

Fluorodeoxyglucose F18AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungEsophagitisFemaleHumansLung NeoplasmsMaleMiddle AgedPositron-Emission TomographyRadiation InjuriesRadiopharmaceuticalsRadiotherapy, ConformalRadiotherapy, Image-GuidedFluorodeoxyglucose F18Radiopharmaceuticals

Identifiers

PMID27681764
PMCPMC5117825
OpenAlexW2493113748

What OpenQuestion holds

Textmetadata
LicenceTDM
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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.