Evidence map›Paper›PMID 31559481›Full record

ArticleStrahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al]2020

Tumor regression during radiotherapy for non-small cell lung cancer patients using cone-beam computed tomography images.

J E van Timmeren, W van Elmpt, D de Ruysscher, B Reymen, O Hansen, C Brink

Abstract read
In one paragraph

Article in Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al], 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

J E van TimmerenThe D-Lab: Decision Support for Precision Medicine, GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Universiteitssingel 40, 6229ER, Maastricht, The Netherlands. jvtimmeren@gmail.com.ORCID http://orcid.org/0000-0002-8166-6853
W van ElmptDepartment of Radiation Oncology (MAASTRO clinic), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Dr. Tanslaan 12, 6229 ET, Maastricht, The Netherlands.
D de RuysscherDepartment of Radiation Oncology (MAASTRO clinic), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Dr. Tanslaan 12, 6229 ET, Maastricht, The Netherlands.
B ReymenDepartment of Radiation Oncology (MAASTRO clinic), GROW-School for Oncology and Developmental Biology, Maastricht University Medical Centre+, Dr. Tanslaan 12, 6229 ET, Maastricht, The Netherlands.
O HansenInstitute of Clinical Research, University of Southern Denmark, Odense, Denmark.
C BrinkInstitute of Clinical Research, University of Southern Denmark, Odense, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrevious literature has reported contradicting results regarding the relationship between tumor volume changes during radiotherapy treatment for non-small cell lung cancer (NSCLC) patients and locoregional recurrence-free rate or overall survival. The aim of this study is to validate the results from a previous study by using a different volume extraction procedure and evaluating an external validation dataset.

methodsFor two datasets of 94 and 141 NSCLC patients, gross tumor volumes were determined manually to investigate the relationship between tumor volume regression and locoregional control using Kaplan-Meier curves. For both datasets, different subgroups of patients based on histology and chemotherapy regimens were also investigated. For the first dataset (n = 94), automatically determined tumor volumes were available from a previously published study to further compare their correlation with updated clinical data.

resultsA total of 70 out of 94 patients were classified into the same group as in the previous publication, splitting the dataset based on median tumor regression calculated by the two volume extraction methods. Non-adenocarcinoma patients receiving concurrent chemotherapy with large tumor regression show reduced locoregional recurrence-free rates in both datasets (p < 0.05 in dataset 2). For dataset 2, the opposite behavior is observed for patients not receiving chemotherapy, which was significant for overall survival (p = 0.01) but non-significant for locoregional recurrence-free rate (p = 0.13).

conclusionThe tumor regression pattern observed during radiotherapy is not only influenced by irradiation but depends largely on the delivered chemotherapy schedule, so it follows that the relationship between patient outcome and the degree of tumor regression is also largely determined by the chemotherapy schedule. This analysis shows that the relationship between tumor regression and outcome is complex, and indicates factors that could explain previously reported contradicting findings. This, in turn, will help guide future studies to fully understand the relationship between tumor regression and outcome.

Indexed as

AdultAgedAged, 80 and overCarcinoma, Non-Small-Cell LungCone-Beam Computed TomographyFemaleHumansKaplan-Meier EstimateLungLung NeoplasmsMaleMiddle AgedTumor BurdenCone-beam CTGross tumor volumeNon-small cell lung cancerOverall survivalTumor regression

Identifiers

PMID31559481
PMCPMC6994551

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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.