Evidence map›Paper›PMID 40229136›Full record

ArticleMedical physics2025

Patient-specific modeling of radiation-induced lymphopenia for head and neck cancer.

Jiaxin Li, Rahul Mali, Gregory N Gan, Christopher Lominska, Kenny Guida, Aditya Juloori, Matthew Wen-Ruey Chen, Wangyao Li, Jufri Setianegara, Chao Wang and 4 more

Abstract read
In one paragraph

Article in Medical physics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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4 · The record

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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

14 authors.

Jiaxin LiInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Rahul MaliDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Gregory N GanDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Christopher LominskaDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Kenny GuidaDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Aditya JulooriDepartment of Radiation Oncology, University of Chicago, Chicago, USA.
Matthew Wen-Ruey ChenDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Wangyao LiDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Jufri SetianegaraDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Chao WangDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Yuting LinDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.
Qiang LiInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Weiqiang ChenInstitute of Modern Physics, Chinese Academy of Sciences, Lanzhou, China.
Hao GaoDepartment of Radiation Oncology, University of Kansas Medical Center, Kansas City, USA.

Funding

Novel Optimization Methods and Treatment Planning System for Clinically-Deliverable Truly-Hybrid Proton-Photon RadiotherapyR37CA250921 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI Hao Gao · 2021 to 2026
$2.2M
Simultaneous dose and dose rate optimization for clinical FLASH proton radiotherapyR01CA261964 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GAO, HAO · 2022 to 2025
$2.0M
NCI NIH HHS R01 CA261964NCI NIH HHS R37 CA250921NIH
6 · The paper itself

Abstract

backgroundRadiation-induced lymphopenia (RIL) is a frequent complication in head and neck cancer (HNC) patients undergoing radiotherapy (RT), and its severity is associated with poorer survival outcomes. PURPOSE: This work aims to develop a patient-specific modeling method to simulate lymphocyte kinetics during and after RT and evaluate the lymphocyte-sparing effects across different RT treatment regimens.

methodsA cohort of 17 HNC patients receiving unilateral irradiation with protons or photons were included in this study. The dose to circulating lymphocytes was calculated using the HEDOS model, considering lymph nodes on the irradiated side, the esophagus, auto-segmented bilateral carotid arteries and jugular veins, skeletal muscle, fat, skin, compact bone, spongy bone, red marrow, and other skeleton. A patient-specific model was developed to simulate lymphocyte kinetics that account for radiation-induced damage to both circulating lymphocytes and lymph nodes. The weekly absolute lymphocyte counts (ALC) before, during and after RT, were assembled to estimate the patient-specific parameters. Four different RT treatment regimens-conventional fractionation, hypofractionation, stereotactic body radiotherapy (SBRT), and FLASH-were evaluated to compare their lymphocyte-sparing effects.

resultsPatients treated with protons had 17.1% less grade 3 and 4 RIL compared to photons. The mean dose to circulating lymphocytes was 1.28 ± 0.37 Gy(RBE) for proton therapy and 3.12 ± 0.75 Gy for photon therapy. The patient-specific model captured three distinct patterns of ALC kinetics: plateau phase, normal recovery, and incomplete recovery, with a mean squared error (MSE) of 0.024 ± 0.025 (mean ± SD) between the simulated and observed ALC values. On average, 42.72% of circulating lymphocytes received more than 0.1 Gy(RBE) in proton FLASH, significantly less than the 81.94% in photon FLASH. Hypofractionated RT, SBRT, and FLASH were 6.5%, 20.2%, and 29.9%, respectively, higher than conventional RT in term of ALC levels 3 months post-RT. At 1 year post-RT, most patients achieved at least 70% recovery of baseline ALC for all treatment regimens.

conclusionA patient-specific method has been developed for modeling lymphocyte dynamics over the course of RT and the subsequent follow-up period for HNC patients.

Indexed as

Head and Neck NeoplasmsLymphopeniaPatient-Specific ModelingAgedFemaleHumansMaleMiddle Agedhead and neck cancerlymphocyte kineticsradiation‐induced lymphopeniaradiosensitivity

Identifiers

PMID40229136
PMCPMC12151770

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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.