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      Prognostic factors of radiation dermatitis following passive-scattering proton therapy for breast cancer

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          Abstract

          Background

          To identify prognostic factors for grade 3 radiation dermatitis following passive-scattering proton therapy for breast cancer.

          Methods

          This retrospective study included data on 23 (11 post-mastectomy and 12 post-lumpectomy) breast cancer patients who underwent proton therapy with the passive scattering technique in our institute from 2012 to 2016. Each patient received 50–50.4 cobalt Gy equivalent (CGE) at 1.8 or 2 CGE per daily fraction. Logistic regression analysis was performed to identify prognostic factors for grade 3 skin toxicity. Receiver operating characteristic (ROC) curve analysis and the area under the curve (AUC) were used to evaluate the performance of the models.

          Results

          43% of the studied patients developed grade 3 radiation dermatitis. The dose-volume histogram (DVH) parameters of V52.5CGE and D10cm 3 to skin5mm were correlated with grade 3 radiation dermatitis in both univariate and multivariate logistic regression analyses. Univariate logistic regression analysis suggested that D10cm 3 to skin5mm (AUC = 0.69) and V52.5CGE to skin5mm (AUC = 0.70) were prognostic for grade 3 skin toxicity. The models using the combination of D10cm 3 to skin5mm or V52.5CGE to skin5mm with breast volume marginally increased the AUC to 0.72 and 0.73, respectively. Models using the combination of D10cm 3 to skin5mm or V52.5CGE to skin5mm with history of smoking increased the AUC to 0.75 and 0.83, respectively.

          Conclusion

          In the current study, we identified prognostic factors for grade 3 radiation dermatitis in patients treated with passive-scattering proton therapy for breast cancer. This study provides promising tool for identifying high risk patients for whom treatment plan adjustment could be done to reduce the risk of radiation-induced grade 3 skin toxicity.

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          Most cited references28

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          The meaning and use of the area under a receiver operating characteristic (ROC) curve.

          A representation and interpretation of the area under a receiver operating characteristic (ROC) curve obtained by the "rating" method, or by mathematical predictions based on patient characteristics, is presented. It is shown that in such a setting the area represents the probability that a randomly chosen diseased subject is (correctly) rated or ranked with greater suspicion than a randomly chosen non-diseased subject. Moreover, this probability of a correct ranking is the same quantity that is estimated by the already well-studied nonparametric Wilcoxon statistic. These two relationships are exploited to (a) provide rapid closed-form expressions for the approximate magnitude of the sampling variability, i.e., standard error that one uses to accompany the area under a smoothed ROC curve, (b) guide in determining the size of the sample required to provide a sufficiently reliable estimate of this area, and (c) determine how large sample sizes should be to ensure that one can statistically detect differences in the accuracy of diagnostic techniques.
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            Tolerance of normal tissue to therapeutic irradiation

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              Cause-specific mortality in long-term survivors of breast cancer who participated in trials of radiotherapy.

              To examine long-term cause-specific mortality in patients irradiated for breast cancer as part of a randomized clinical trial. We studied all available information from randomized trials initiated before 1975 in which radiotherapy was the randomized option and surgery was the same for both treatment arms. Eight such trials were identified. The increased all-cause mortality rate in 10-year survivors previously reported is no longer significant, although a numerical difference in favor of non-irradiated patients remains. This result was strongly influenced by the earliest trials, and more recent trials have found a nonsignificant net benefit in overall mortality associated with radiation therapy. An excess of cardiac deaths was apparent in both early and more recent trials (P < .001), but this was offset by a reduced number of deaths due to breast cancer, especially in more recent trials. The reduction of breast cancer deaths suggests that radiation therapy may have a value beyond the clearly established improvements obtainable for local control. Use of techniques that minimize cardiac dose is important in reducing the risks of adjuvant radiotherapy, especially in good-prognosis patients.
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                Author and article information

                Contributors
                (904) 588-1518 , xliang@floridaproton.org
                jbradley@floridaproton.org
                sabrinadan@gmail.com
                mrutenberg@floridaproton.org
                dyeung@floridaproton.org
                nmendenhall@floridaproton.org
                zli@floridaproton.org
                Journal
                Radiat Oncol
                Radiat Oncol
                Radiation Oncology (London, England)
                BioMed Central (London )
                1748-717X
                19 April 2018
                19 April 2018
                2018
                : 13
                : 72
                Affiliations
                [1 ]ISNI 0000 0004 1936 8091, GRID grid.15276.37, Department of Radiation Oncology, , University of Florida, ; Gainesville, FL USA
                [2 ]ISNI 0000 0001 0666 4105, GRID grid.266813.8, Department of Radiation Oncology, , University of Nebraska Medical Center, ; Omaha, NE USA
                Author information
                http://orcid.org/0000-0002-6688-1045
                Article
                1004
                10.1186/s13014-018-1004-3
                5909216
                29673384
                d7ce553b-d367-4f18-a527-46fccfc918f4
                © The Author(s). 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 10 October 2017
                : 18 March 2018
                Funding
                Funded by: UFHPTI
                Award ID: Research/education fund
                Award Recipient :
                Categories
                Research
                Custom metadata
                © The Author(s) 2018

                Oncology & Radiotherapy
                radiation dermatitis,breast cancer,passive-scattering proton therapy,logistic regression analysis

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