Evidence map›Paper›PMID 41954028›Full record

ArticleJournal of applied clinical medical physics2026

Reirradiation treatment effects in the clinic (ReTEC) proposal - proof of concept based on spinal cord dose tolerance for reirradiation with stereotactic body radiotherapy.

Jimm Grimm, Anand Mahadevan, Olusola Obayomi-Davies, Scott G Soltys, Arjun Sahgal, Kristin J Redmond, Michael T Milano, Wolfgang A Tomé, Kenneth Brooks, Scott Dodd and 15 more

Abstract read
In one paragraph

Article in Journal of applied clinical medical physics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

25 authors.

Jimm GrimmWellstar Health System, Marietta, Georgia, USA.ORCID https://orcid.org/0000-0003-1962-3139
Anand MahadevanNYU Langone Health, New York, New York, USA.
Olusola Obayomi-DaviesWellstar Health System, Marietta, Georgia, USA.
Scott G SoltysStanford University, Stanford, California, USA.
Arjun SahgalSunnybrook Health Science Centre, University of Toronto, Toronto, Ontario, Canada.
Kristin J RedmondJohns Hopkins University, Baltimore, Maryland, USA.
Michael T MilanoUniversity of Rochester Medical Center, Rochester, New York, USA.
Wolfgang A ToméMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.ORCID https://orcid.org/0000-0003-1586-8091
Kenneth BrooksWellstar Health System, Marietta, Georgia, USA.
Scott DoddWellstar Health System, Marietta, Georgia, USA.
John Austin VargoUPMC Magee-Women's Hospital, Pittsburgh, Pennsylvania, USA.
Gopal SubediWellstar Health System, Marietta, Georgia, USA.
Jinyu XueNYU Langone Health, New York, New York, USA.ORCID https://orcid.org/0000-0002-8328-6424
Bisher EbidWellstar Health System, Marietta, Georgia, USA.ORCID https://orcid.org/0009-0006-8777-7462
Felix EhretDepartment of Radiation Oncology, Charité - Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Berlin, Germany.ORCID https://orcid.org/0000-0001-6177-1755
Byung-Han Andrew RhieuMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.
Christoph FürwegerEuropean Radiosurgery Center Munich, Munich, Germany.
Rachel GrimmMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.
Alexander MuacevicEuropean Radiosurgery Center Munich, Munich, Germany.
Vitali MoiseenkoUniversity of California San Diego, La Jolla, California, USA.
Shalom KalnickiMontefiore Medical Center and Albert Einstein College of Medicine, Bronx, New York, USA.
Mark McLaughlinWellstar Health System, Marietta, Georgia, USA.
Lawrence R KleinbergJohns Hopkins University, Baltimore, Maryland, USA.
John R AdlerStanford University, Stanford, California, USA.
Iris C GibbsStanford University, Stanford, California, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSince the inception of spinal radiosurgery decades ago, the factors influencing spinal cord recovery have remained unclear. Elucidating these factors would aid in reirradiation planning and delivery. We describe modeling reirradiation normal tissue complication probabilities (NTCP) from compiled published data, akin to the collaborative Quantitative Analysis of Normal Tissue Effects in the Clinic (QUANTEC) and High Dose per Fraction, Hypofractionated Treatment Effects in the Clinic (HyTEC) projects. PURPOSE: Simple dose-time recovery factors for the spinal cord serve as a basis to propose the Reirradiation Treatment Effects in the Clinic (ReTEC) project. ReTEC aims to define human organ recovery factors to convert the total composite dose to an equivalent physical dose compatible with the de novo therapy dose tolerance limits. Additionally, we present a system for automating analyses as well as clinical implementation of radiation dose-time recovery.

methodsPublished literature was queried for stereotactic voxel-wise composite reirradiation plans involving the spinal cord, but none were found. Hence, minimum reporting criteria were used instead: spinal cord maximum dose (Dmax) of each course, time interval between courses, and number of fractions or biologically effective dose, per patient or in sufficiently homogeneous groups of patients. Recovery factors and logistic model parameters were fitted with maximum likelihood techniques.

resultsAn NTCP model was derived from 13 papers with data from 282 lesions, including six myelopathy cases. The model suggested spinal cord recovery of more than 50% in less than 1 year, which is faster and more complete than current clinical practice, but with wide confidence intervals (CI) (bootstrap 95% CI: 31%-95% when the time interval was 1 year).

conclusionDue to limited data, we recommend remaining within current standard guidelines until more comprehensive analyses, optimally under the ReTEC initiative, refute or validate these estimates. ReTEC would require composite plans accounting for differing Dmax locations in each course. Nevertheless, this proof-of-concept Dmax model provides insight and serves as a basis to propose ReTEC.

Indexed as

Organs at RiskRadiation ToleranceRadiosurgeryRadiotherapy Planning, Computer-AssistedRe-IrradiationSpinal CordSpinal NeoplasmsHumansProof of Concept StudyRadiotherapy DosageRadiotherapy, Intensity-ModulatedRecovery FactorsReirradiationSpinal Cord

Identifiers

PMID41954028
PMCPMC13062923

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.