Evidence map›Paper›PMID 32642155›Full record

ArticleJournal of thoracic disease2020

Tumor volume reduction evaluated by cone beam computed tomography during stereotactic body radiotherapy for early stage non-small cell lung cancer.

Dakim K Gaines, Nikhil Yegya-Raman, Sinae Kim, Charles B Simone, Christina Theodorou Ross, Matthew P Deek, Sarah Lam, Steven J Feigenberg, Benedict Osorio, Ke Nie and 6 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of thoracic disease, 2020. 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
0.1field-weighted citation impact, top 51% 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, 1 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

16 authors at 4 institutions in 1 country.

Dakim K GainesDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Nikhil Yegya-RamanDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Sinae KimDepartment of Biostatistics, School of Public Health, Rutgers University, Piscataway, NJ, USA.
Charles B SimoneDepartment of Radiation Oncology, New York Proton Center, New York, NY, USA.
Christina Theodorou RossDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Matthew P DeekDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Sarah LamDepartment of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Steven J FeigenbergDepartment of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Benedict OsorioDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Ke NieDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Wei ZouDepartment of Radiation Oncology, Hospital of the University of Pennsylvania, Philadelphia, PA, USA.
Malini PatelDivision of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Jyoti MalhotraDivision of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
John LangenfeldDepartment of Surgery, Section of Thoracic Surgery, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Joseph AisnerDivision of Medical Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Salma K JabbourDepartment of Radiation Oncology, Rutgers Cancer Institute of New Jersey, Robert Wood Johnson Medical School, Rutgers University, New Brunswick, NJ, USA.
Rutgers, The State University of New Jersey · USHospital of the University of Pennsylvania · USJohns Hopkins University · USNew York Proton Center · US

Funding

TRANSCRIPTIONAL PROFILINGP30CA072720 · NCI · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI Tracie Saunders · 1997 to 2026
$94.5M
NCI NIH HHS P30 CA072720
6 · The paper itself

Abstract

backgroundWe hypothesized that significant tumor volume reduction (TVR) occurs over the course of stereotactic body radiotherapy (SBRT) for early stage non-small cell lung cancer (NSCLC), and that TVR correlates with clinical outcomes.

methodsWe conducted a retrospective review of patients treated with SBRT for early stage NSCLC across two academic centers. For each patient, we contoured the tumor volume (TV) on cone beam computed tomography (CBCT) images obtained before each treatment fraction. We then calculated TVR based on the TV from the first and last days of treatment. We used log-rank tests to quantify differences in overall survival (OS), progression-free survival (PFS) and recurrence based on TVR.

resultsData from 69 patients and a total of 73 treated tumors were analyzed. The median follow-up for survivors was 51.8 months (range, 6.9 to 80.0 months). The median TVR for the cohort was 10.1% (range, -5.7% to 43.5%). There was no significant difference in either OS (median 33.4

conclusionsWe were not able to demonstrate that TVR is a reliable predictive imaging marker for stage I/II NSCLC treated with SBRT. Future studies with larger sample sizes are needed to clarify a potential relationship between TVR and early outcomes.

Indexed as

Non-small cell lung cancer (NSCLC)outcomesprognosisstereotactic body radiotherapy (SBRT)tumor volume reduction (TVR)

Identifiers

PMID32642155
PMCPMC7330363
OpenAlexW3013145831

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.