Evidence map›Paper›PMID 42643306›Full record

ArticleFrontiers in oncology2026

Individualized VMAT lattice radiotherapy on a standard flattening-filter linear accelerator for advanced bulky tumors: a retrospective feasibility and early clinical experience.

Jingna Ji, Min Xiao, Yan Ding, Gangyang Yu, Qian Wang, Jing Xie, Lu Zhang

Abstract read
In one paragraph

Article in Frontiers in oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jingna Ji *Department of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Min Xiao *Department of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Yan DingDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Gangyang YuDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Qian WangDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Jing XieDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.
Lu ZhangDepartment of Radiation Oncology, Hankou Hospital Affiliated with Wuhan University of Science and Technology (Wuhan Hankou Hospital), Wuhan, Hubei, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Advanced bulky tumors cause pain, hemorrhage, and functional impairment, but their volume, hypoxic core, and proximity to organs at risk limit dose escalation with conventional radiotherapy. Lattice radiotherapy (LRT) delivers ablative doses to intratumoral vertices while sparing peripheral tissue. We evaluated personalized LRT on standard flattening-filter (FF) linacs, alone or with radiotherapy. Methods: Seven patients (8 sites) with advanced bulky tumors treated February-November 2025 using 6 MV VMAT in FF mode were retrospectively reviewed. LRT (1-5 fractions of 6-15 Gy) was individualized by performance status, prior therapy, and tumor geometry; additional radiotherapy was at physician discretion. Co-primary endpoints were symptom relief (NRS, analgesic use, tumor-related symptoms) and local disease control; acute toxicity was secondary. Results: Median age was 69 years, median ECOG 2 (1-3), and mean tumor volume 370.7 cc (101.8-792.4 cc). All patients completed planned LRT. Symptom improvement occurred in 6 of 8 sites (75%), usually within two weeks. At median follow-up of 8 months (4-12), partial response (PR) was achieved in 5 of 8 sites (62.5%), stable disease (SD) in 2 (25.0%), and progressive disease (PD) in 1 (12.5%); the disease control rate (DCR = CR + PR + SD) was 7/8 (87.5%), with no complete response (CR) observed. Acute toxicity occurred in 3 patients (all grade 1-2, mainly fatigue and mild dermatitis); no grade ≥3 events occurred. Conclusion: Personalized LRT on FF linacs was feasible and well tolerated, with encouraging early palliative benefit in this small, heterogeneous cohort, supporting prospective evaluation with standardized symptom-assessment tools.

Indexed as

advanced bulky tumorsflattening filter modelattice radiotherapyspatially fractionated radiotherapysymptom palliationtechnical feasibility

Identifiers

PMID42643306
PMCPMC13503170

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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.