Defining the Optimal Radiation-induced Lymphopenia Metric to Discern Its Survival Impact in Esophageal Cancer
Pim J.J. Damen, Max Peters, Brian Hobbs, Yiqing Chen, Uwe Titt, Remi Nout, Radhe Mohan, Steven H. Lin, Peter S.N. van Rossum

TL;DR
This study identifies the best way to measure radiation-induced lymphopenia in esophageal cancer patients to predict survival outcomes.
Contribution
The study defines the optimal RIL metric as ALC in week 3 of CRT at a threshold of <0.5 × 10³/μL for predicting survival.
Findings
ALC in week 3 of CRT was the best RIL metric for predicting progression-free and overall survival.
Grade ≥3 RIL in week 3 was significantly associated with worse survival outcomes.
Patients with grade ≥3 RIL had lower 5-year survival rates compared to those without.
Abstract
A detrimental association between radiation-induced lymphopenia (RIL) and oncologic outcomes in patients with esophageal cancer has been established. However, an optimal metric for RIL remains undefined but is important for the application of this knowledge in clinical decision-making and trial designs. The aim of this study was to find the optimal RIL metric discerning survival. Patients with esophageal cancer treated with concurrent chemoradiation therapy (CRT; 2004–2022) were selected. Studied metrics included absolute lymphocyte counts (ALCs) and neutrophil counts—and calculated derivatives—at baseline and during CRT. Multivariable Cox regression models for progression-free survival (PFS) and overall survival (OS) were developed for each RIL metric. The optimal RIL metric was defined as the one in the model with the highest c-statistic. Among 1339 included patients, 68% received…
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Taxonomy
TopicsRadiomics and Machine Learning in Medical Imaging · Inflammatory Biomarkers in Disease Prognosis · Lung Cancer Diagnosis and Treatment
