Evidence map›Paper›PMID 34792726›Full record

ArticleClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2022

Quantitative assessments of late radiation-induced skin and soft tissue toxicity and correlation with RTOG scales and biological equivalent dose in breast cancer.

Y Huang, J Sanz, N Rodríguez, X Duran, A Martínez, X Li, P Foro, M Conde, M Zhao, F Liu and 5 more

Open access · hybridAbstract read
In one paragraph

Article in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 29% 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

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
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  3. Article
  4. 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

15 authors at 4 institutions in 1 country.

Y HuangAutonomous University of Barcelona, Barcelona, Spain.
J SanzRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain. jsanz@psmar.cat.ORCID http://orcid.org/0000-0003-2296-9659
N RodríguezRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
X DuranStatistics Department, Institut Hospital del Mar d'Investigacions Mèdiques, Barcelona, Spain.
A MartínezRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
X LiAutonomous University of Barcelona, Barcelona, Spain.
P ForoRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
M CondeRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
M ZhaoAutonomous University of Barcelona, Barcelona, Spain.
F LiuRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
A ReigRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
J DengraRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
I MembriveRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
P PérezRadiation Oncology Department, Hospital del Mar, Parc de Salut Mar, Barcelona, Spain.
M AlgaraAutonomous University of Barcelona, Barcelona, Spain.
Parc de Salut · ESUniversitat Autònoma de Barcelona · ESHospital Del Mar · ESHospital del Mar Research Institute · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeRadiation-induced toxicity (RIT) is usually assessed by inspection and palpation. Due to their subjective and unquantitative nature, objective methods are required. This study aimed to determine whether a quantitative tool is able to assess RIT and establish an underlying BED-response relationship in breast cancer.

methodsPatients following seven different breast radiation protocols were recruited to this study for RIT assessment with qualitative and quantitative examination. The biologically equivalent dose (BED) was used to directly compare different radiation regimens. RIT was subjectively evaluated by physicians using the Radiation Therapy Oncology Group (RTOG) late toxicity scores. Simultaneously an objective multiprobe device was also used to quantitatively assess late RIT in terms of erythema, hyperpigmentation, elasticity and skin hydration.

resultsIn 194 patients, in terms of the objective measurements, treated breasts showed higher erythema and hyperpigmentation and lower elasticity and hydration than untreated breasts (p < 0.001, p < 0.001, p < 0.001, p = 0.019, respectively). As the BED increased, Δerythema and Δpigmentation gradually increased as well (p = 0.006 and p = 0.002, respectively). Regarding the clinical assessment, the increase in BED resulted in a higher RTOG toxicity grade (p < 0.001). Quantitative assessments were consistent with RTOG scores. As the RTOG toxicity grade increased, the erythema and pigmentation values increased, and the elasticity index decreased (p < 0.001, p = 0.016, p = 0.005, respectively).

conclusionsThe multiprobe device can be a sensitive and simple tool for research purpose and quantitatively assessing RIT in patients undergoing radiotherapy for breast cancer. Physician-assessed toxicity scores and objective measurements revealed that the BED was positively associated with the severity of RIT.

Indexed as

Breast NeoplasmsHyperpigmentationRadiation InjuriesBreastErythemaFemaleHumansSkinBiological equivalent doseBreast cancerObjective evaluationQuantitative assessmentRadiation-induced toxicityRadiotherapy

Identifiers

PMID34792726
PMCPMC8600910
OpenAlexW3212678351

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Registered trials

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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.