Evidence map›Paper›PMID 40712985›Full record

ArticleInternational journal of radiation oncology, biology, physics2026

Utility-Based Dose Selection for Stereotactic Body Radiation Therapy in Hepatocellular Carcinoma.

Alex K Bryant, Chang Wang, Fang Fang, Martha Matuszak, Laura A Dawson, Timothy Craig, Teodor Stanescu, Janell S Dow, Neehar D Parikh, Kyle Cuneo and 3 more

Abstract readMulticenter Study
In one paragraph

Article in International journal of radiation oncology, biology, physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Radiological physics and technology · 2026
    Article
  2. α/β for Hepatocellular Carcinoma Tumors Treated With Radiation Therapy.International journal of radiation oncology, biology, physics · 2026
    Article
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

13 authors.

Alex K BryantDepartment of Radiation Oncology, Veterans Affairs Ann Arbor Healthcare System, Ann Arbor, Michigan; Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Chang WangDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Fang FangDepartment of Biostatistics, University of Michigan, Ann Arbor, Michigan.
Martha MatuszakDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Laura A DawsonRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
Timothy CraigRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
Teodor StanescuRadiation Medicine Program, Princess Margaret Cancer Centre, Toronto, Ontario, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario, Canada.
Janell S DowDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Neehar D ParikhDivision of Gastroenterology and Hepatology, Department of Internal Medicine, University of Michigan, Ann Arbor, Michigan.
Kyle CuneoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Charles S MayoDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Theodore S LawrenceDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Matthew SchipperDepartment of Radiation Oncology, University of Michigan, Ann Arbor, Michigan; Department of Biostatistics, University of Michigan, Ann Arbor, Michigan. Electronic address: mjschipp@med.umich.edu.

Funding

XenograftP30CA046592 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Alexey I Nesvizhskii · 1988 to 2026
$178.2M
TREATMENT VERIFICATION AND TREATMENT PLAN REFINEMENTP01CA059827 · NCI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI BALTER, JAMES M, LAWRENCE, THEODORE S · 1993 to 2018
$37.9M
NCI NIH HHS P01 CA059827NCI NIH HHS P30 CA046592
6 · The paper itself

Abstract

purposeStereotactic body radiation therapy (SBRT) planning for hepatocellular carcinoma (HCC) typically prescribes the maximum dose associated with an acceptable risk of toxicity, relying on implicit trade-offs between efficacy and toxicity. To make this trade-off quantitative, we developed a utility-based approach to dose selection for SBRT in HCC and studied the expected effects on clinical outcomes. METHODS AND MATERIALS: Using a multi-institutional cohort of SBRT-treated patients, we developed predictive models for local progression, competing mortality, and liver toxicity, defined as an increase of 0.5 or more points in albumin-bilirubin score within 6 months. Individualized risks of local progression and toxicity were integrated using a utility framework with a quantitative efficacy/toxicity trade-off. We then performed a simulation comparing predicted clinical outcomes and overall utility between 2 scenarios: if patients in our cohort had been prescribed SBRT according to Radiation Therapy Oncology Group 1112 ("standard dosing"), versus with our proposed utility-based dose selection.

resultsOur cohort included 309 patients (75% Child-Pugh A pretreatment liver function and 24% Child-Pugh B). The median tumor prescription dose in BED

conclusionsWe describe a novel approach to SBRT radiation treatment planning and dose selection for HCC that combines individualized prediction of efficacy, toxicity, and competing mortality with explicit calculation of the efficacy-toxicity trade-off using an expected utility framework. This approach holds promise to personalize SBRT treatment planning.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsRadiosurgeryAgedAged, 80 and overBilirubinCohort StudiesDisease ProgressionFemaleHumansLiverMaleMiddle AgedRadiotherapy DosageTreatment OutcomeBilirubin

Identifiers

PMID40712985
PMCPMC13037792

What OpenQuestion holds

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Read underepoch 390

Registered trials

None linked

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.