Evidence map›Paper›PMID 38912008›Full record

ArticlePhysics and imaging in radiation oncology2024

Dose-volume metric-based prediction of radiotherapy-induced lymphocyte loss in patients with non-small-cell lung cancer treated with modern radiotherapy techniques.

Zuzanna Nowicka, Kasper Kuna, Mateusz Łaszczych, Małgorzata Łazar-Poniatowska, Bartosz Kamil Sobocki, Konrad Stawiski, Michał Dąbrowski, Konrad Bruski, Adam Zięba, Mateusz Pajdziński and 5 more

Abstract read
In one paragraph

Article in Physics and imaging in radiation oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

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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

15 authors.

Zuzanna NowickaDepartment of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland.
Kasper KunaDepartment of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland.
Mateusz ŁaszczychDepartment of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland.
Małgorzata Łazar-PoniatowskaDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Faculty of Medicine, Gdańsk, Poland.
Bartosz Kamil SobockiDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Faculty of Medicine, Gdańsk, Poland.
Konrad StawiskiDepartment of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland.
Michał DąbrowskiDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Faculty of Medicine, Gdańsk, Poland.
Konrad BruskiDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Faculty of Medicine, Gdańsk, Poland.
Adam ZiębaDepartment of Radiotherapy, Medical University of Łódź, Łódź, Poland.
Mateusz PajdzińskiDepartment of Radiotherapy, Medical University of Łódź, Łódź, Poland.
Emilia Staniewska3 Radiotherapy and Chemotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice, Poland.
Marcin Miszczyk3 Radiotherapy and Chemotherapy Department, Maria Skłodowska-Curie National Research Institute of Oncology, Gliwice, Poland.
Harald PaganettiMassachusetts General Hospital, Boston, MA, USA.
Wojciech FendlerDepartment of Biostatistics and Translational Medicine, Medical University of Łódź, Łódź, Poland.
Bartłomiej TomasikDepartment of Oncology and Radiotherapy, Medical University of Gdańsk, Faculty of Medicine, Gdańsk, Poland.

Funding

Project 3: Enhanced Sensitivity of Tumors to Proton Beam Therapy: Mechanisms and Biomarkers.P01CA261669 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI HONG, THEODORE S · 2021 to 2025
$14.0M
NCI NIH HHS P01 CA261669
6 · The paper itself

Abstract

Background and Purpose: Radiation-induced lymphopenia (RIL) is a common side effect of radiotherapy (RT) that may negatively impact survival. We aimed to identify RIL predictors in patients with non-small-cell lung cancer (NSCLC) treated intensity modulated radiotherapy (IMRT) and volumetric modulated arc therapy (VMAT). Materials and Methods: We retrospectively analysed data of 306 patients who underwent radical RT for NSCLC. Absolute lymphocyte count (ALC) loss was evaluated for each patient by fitting an exponential decay curve to data from first 45 days since treatment start, and percentage ALC loss relative to baseline was calculated based on area under the decay curve and baseline ALC. We compared IMRT and VMAT treatment plans and used linear regression to predict ALC loss. Results: ALC decreased during RT in the whole patient group, while neutrophil counts remained stable and decreased only in those treated with concurrent chemoradiotherapy (CRT). Percentage ALC loss ranged between 11 and 78 % and was more strongly than lymphocyte nadir correlated with dose-volume metrics for relevant normal structures. We found evidence for the association of high radiation dose to the lungs, heart and body with percentage ALC loss, with lung volume exposed to 20-30 Gy being most important predictors in patients treated with IMRT. A multivariable model based on CRT use, baseline ALC and first principal component (PC1) of the dose-volume predictors showed good predictive performance (bias-corrected R Conclusion: Percentage lymphocyte loss is a robust measure of RIL that is predicted by baseline ALC, CRT use and dose-volume parameters to the lungs, heart and body.

Indexed as

LymphopeniaNon-small cell lung cancerRadiotherapy

Identifiers

PMID38912008
PMCPMC11190719

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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.