Evidence map›Paper›PMID 32569277›Full record

ArticlePloS one2020

Conventional dose rate spatially-fractionated radiation therapy (SFRT) treatment response and its association with dosimetric parameters-A preclinical study in a Fischer 344 rat model.

Judith N Rivera, Thomas M Kierski, Sandeep K Kasoji, Anthony S Abrantes, Paul A Dayton, Sha X Chang

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 9% of its field
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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 57 citations in OpenAlex.

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  16. Minibeam Radiation Therapy for Recurrent Mucosal Melanoma: An Eye-Opening Response.Mayo Clinic proceedings. Innovations, quality & outcomes · 2025
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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

6 authors at 1 institution in 1 country.

Judith N RiveraDepartment of Biomedical Engineering, A Joint Program of the University of North Carolina- Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America.
Thomas M KierskiDepartment of Biomedical Engineering, A Joint Program of the University of North Carolina- Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America.
Sandeep K KasojiDepartment of Biomedical Engineering, A Joint Program of the University of North Carolina- Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America.
Anthony S AbrantesDepartment of Biostatistics, University of North Carolina- Chapel Hill, Chapel Hill, North Carolina, United States of America.
Paul A DaytonDepartment of Biomedical Engineering, A Joint Program of the University of North Carolina- Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America.
Sha X ChangDepartment of Biomedical Engineering, A Joint Program of the University of North Carolina- Chapel Hill and North Carolina State University, Chapel Hill, North Carolina, United States of America.ORCID 0000-0002-9091-1742
University of North Carolina at Chapel Hill · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify key dosimetric parameters that have close associations with tumor treatment response and body weight change in SFRT treatments with a large range of spatial-fractionation scale at dose rates of several Gy/min.

methodsSix study arms using uniform tumor radiation, half-tumor radiation, 2mm beam array radiation, 0.3mm minibeam radiation, and an untreated arm were used. All treatments were delivered on a 320kV x-ray irradiator. Forty-two female Fischer 344 rats with fibrosarcoma tumor allografts were used. Dosimetric parameters studied are peak dose and width, valley dose and width, peak-to-valley-dose-ratio (PVDR), volumetric average dose, percentage volume directly irradiated, and tumor- and normal-tissue EUD. Animal survival, tumor volume change, and body weight change (indicative of treatment toxicity) are tested for association with the dosimetric parameters using linear regression and Cox Proportional Hazards models.

resultsThe dosimetric parameters most closely associated with tumor response are tumor EUD (R2 = 0.7923, F-stat = 15.26*; z-test = -4.07***), valley (minimum) dose (R2 = 0.7636, F-stat = 12.92*; z-test = -4.338***), and percentage tumor directly irradiated (R2 = 0.7153, F-stat = 10.05*; z-test = -3.837***) per the linear regression and Cox Proportional Hazards models, respectively. Tumor response is linearly proportional to valley (minimum) doses and tumor EUD. Average dose (R2 = 0.2745, F-stat = 1.514 (no sig.); z-test = -2.811**) and peak dose (R2 = 0.04472, F-stat = 0.6874 (not sig.); z-test = -0.786 (not sig.)) show the weakest associations to tumor response. Only the uniform radiation arm did not gain body weight post-radiation, indicative of treatment toxicity; however, body weight change in general shows weak association with all dosimetric parameters except for valley (minimum) dose (R2 = 0.3814, F-stat = 13.56**), valley width (R2 = 0.2853, F-stat = 8.783**), and peak width (R2 = 0.2759, F-stat = 8.382**).

conclusionsFor a single-fraction SFRT at conventional dose rates, valley, not peak, dose is closely associated with tumor treatment response and thus should be used for treatment prescription. Tumor EUD, valley (minimum) dose, and percentage tumor directly irradiated are the top three dosimetric parameters that exhibited close associations with tumor response.

Indexed as

Dose Fractionation, RadiationAnimalsBody WeightDisease Models, AnimalFemaleFibrosarcomaRadiometryRatsRats, Inbred F344Treatment OutcomeTumor Burden

Identifiers

PMID32569277
PMCPMC7307781
OpenAlexW3035773300

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.