Evidence map›Paper›PMID 27049962›Full record

ArticlePloS one2016

Inter-Fraction Tumor Volume Response during Lung Stereotactic Body Radiation Therapy Correlated to Patient Variables.

Samer Salamekh, Yi Rong, Ahmet S Ayan, Xiaokui Mo, Terence M Williams, Nina A Mayr, John C Grecula, Arnab Chakravarti, Meng Xu-Welliver

Abstract read
In one paragraph

Article in PloS one, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
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

8 citing papers in PubMed.

  1. Article
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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

9 authors.

Samer SalamekhDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
Yi RongDepartment of Radiation Oncology, University of California Davis, Sacramento, California, United States of America.
Ahmet S AyanDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
Xiaokui MoCenter for Biostatistics, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
Terence M WilliamsDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
Nina A MayrDepartment of Radiation Oncology, University of Washington, Seattle, Washington, United States of America.
John C GreculaDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
Arnab ChakravartiDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.
Meng Xu-WelliverDepartment of Radiation Oncology, The Ohio State University Wexner Medical Center, Columbus, Ohio, United States of America.

Funding

Translational Therapeutics Research Program (TT)P30CA016058 · NCI · OHIO STATE UNIVERSITY · PI Tasleem J Padamsee · 1985 to 2026
$132.3M
OSU as Network Lead Academic Participating Site for the NCI NCTNU10CA180850 · NCI · OHIO STATE UNIVERSITY · PI BLUM, KRISTIE A, CHAKRAVARTI, ARNAB · 2014 to 2018
$6.8M
Novel functions of Pyruvate kinase M2 in DNA double-strand break repairR01CA188500 · NCI · UNIV OF ARKANSAS FOR MED SCIS · PI CHAKRAVARTI, ARNAB, XIA, FEN · 2014 to 2019
$2.0M
NCI NIH HHS 1R01CA188500-01NCI NIH HHS 1U10CA180850-01NCI NIH HHS P30 CA016058NCI NIH HHS R01 CA188500NCI NIH HHS U10 CA180850
6 · The paper itself

Abstract

purposeAnalyze inter-fraction volumetric changes of lung tumors treated with stereotactic body radiation therapy (SBRT) and determine if the volume changes during treatment can be predicted and thus considered in treatment planning. METHODS AND MATERIALS: Kilo-voltage cone-beam CT (kV-CBCT) images obtained immediately prior to each fraction were used to monitor inter-fraction volumetric changes of 15 consecutive patients (18 lung nodules) treated with lung SBRT at our institution (45-54 Gy in 3-5 fractions) in the year of 2011-2012. Spearman's (ρ) correlation and Spearman's partial correlation analysis was performed with respect to patient/tumor and treatment characteristics. Multiple hypothesis correction was performed using False Discovery Rate (FDR) and q-values were reported.

resultsAll tumors studied experienced volume change during treatment. Tumor increased in volume by an average of 15% and regressed by an average of 11%. The overall volume increase during treatment is contained within the planning target volume (PTV) for all tumors. Larger tumors increased in volume more than smaller tumors during treatment (q = 0.0029). The volume increase on CBCT was correlated to the treatment planning gross target volume (GTV) as well as internal target volumes (ITV) (q = 0.0085 and q = 0.0039 respectively) and could be predicted for tumors with a GTV less than 22 mL. The volume increase was correlated to the integral dose (ID) in the ITV at every fraction (q = 0.0049). The peak inter-fraction volume occurred at an earlier fraction in younger patients (q = 0.0122).

conclusionsWe introduced a new analysis method to follow inter-fraction tumor volume changes and determined that the observed changes during lung SBRT treatment are correlated to the initial tumor volume, integral dose (ID), and patient age. Furthermore, the volume increase during treatment of tumors less than 22mL can be predicted during treatment planning. The volume increase remained significantly less than the overall PTV expansion, and radiation re-planning was therefore not required for the purpose of tumor control. The presence of the studied correlations suggests that the observed volumetric changes may reflect some underlying biologic process rather than random fluctuations.

Indexed as

RadiosurgeryAgedAged, 80 and overCone-Beam Computed TomographyHumansLung NeoplasmsMiddle Aged

Identifiers

PMID27049962
PMCPMC4822825

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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.