Dataset Information

Oral curcumin for radiation dermatitis: a URCC NCORP study of 686 breast cancer patients.

ABSTRACT: PURPOSE:Despite advances in medical technology, radiation dermatitis occurs in 95% of patients receiving radiation therapy (RT) for cancer. Currently, there is no standard and effective treatment for the prevention or control of radiation dermatitis. The goal of the study was to determine the efficacy of oral curcumin, one of the biologically active components in turmeric, at reducing radiation dermatitis severity (RDS) at the end of RT, using the RDS scale, compared to placebo. METHODS:This was a multisite, randomized, double-blinded, placebo-controlled trial of 686 breast cancer patients. Patients took four 500-mg capsules of placebo or curcumin three times daily throughout their prescribed course of RT until 1 week post-RT. RESULTS:A total of 686 patients were included in the final analyses (87.5% white females, mean age = 58). Linear mixed-model analyses demonstrated that curcumin did not reduce radiation dermatitis severity at the end of RT compared to placebo (B (95% CI) = 0.044 (-?0.101, 0.188), p = 0.552). Fewer curcumin patients with RDS >?3.0 suggested a trend toward reduced severity (7.4 vs. 12.9%, p = 0.082). Patient-reported changes in pain, symptoms, and quality of life were not statistically significant between arms. CONCLUSIONS:Oral curcumin did not significantly reduce radiation dermatitis severity compared to placebo. The skin rating variation and broad eligibility criteria could not account for the undetectable therapeutic effect. An objective measure for radiation dermatitis severity and further exploration for an effective treatment for radiation dermatitis is warranted.

SUBMITTER: Ryan Wolf J

PROVIDER: S-EPMC5876157 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature

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Oral curcumin for radiation dermatitis: a URCC NCORP study of 686 breast cancer patients.

Ryan Wolf Julie J Heckler Charles E CE Guido Joseph J JJ Peoples Anita R AR Gewandter Jennifer S JS Ling Marilyn M Vinciguerra Vincent P VP Anderson Thomas T Evans Lisa L Wade James J Pentland Alice P AP Morrow Gary R GR

Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer 20171201 5

<h4>Purpose</h4>Despite advances in medical technology, radiation dermatitis occurs in 95% of patients receiving radiation therapy (RT) for cancer. Currently, there is no standard and effective treatment for the prevention or control of radiation dermatitis. The goal of the study was to determine the efficacy of oral curcumin, one of the biologically active components in turmeric, at reducing radiation dermatitis severity (RDS) at the end of RT, using the RDS scale, compared to placebo.<h4>Metho ...[more]

PMID: 29192329

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Project description:Purpose: Radiotherapy (RT) is commonly used in the treatment of breast cancer and often, despite advances in fractionated dosing schedules, produces undesirable skin toxicity. The purpose of this study was to evaluate the feasibility of using a keratin-based topical cream, KeraStat® Cream (KC; KeraNetics, Inc., Winston Salem, NC, USA) to manage the symptoms of radiation dermatitis (RD) in breast cancer patients undergoing RT. Materials and Methods: A total of 24 subjects were enrolled on this single-center, randomized, open-label study. Participants were randomly assigned to KC or standard of care (SOC, patient's choice of a variety of readily available creams or moisturizers). Patients were asked to apply the assigned treatment to the irradiated area twice daily, beginning with day 1 of RT, through 30 days post-RT. The primary outcome was compliance of use. Secondary outcomes included safety and tolerability of KC, as well as RD severity assessed using the Radiation Therapy Oncology Group (RTOG) scale and the patient-reported Dermatology Life Quality Index (DLQI). Results: All subjects in the KC group were assessed as compliant with no adverse events. The rate of RTOG Grade 2 RD was lower in the KC group (30.8%) compared to the SOC group (54.5%, P = .408). At the final RT visit, the mean RTOG RD score was lower in the KC group (1.0) versus the SOC group (1.4). Similarly, patient-reported quality of life measured by the DLQI at the end of RT was improved in the KC group (mean 4.25, small effect) versus the SOC group (mean 6.18, moderate effect, P = .412). Conclusions: KC was safe and well tolerated with no adverse events. Though efficacy measures were not powered to draw definitive conclusions, trends and clinical assessments suggest that there is a benefit of using KC compared to SOC for breast cancer patients treated with RT, and a larger powered study for efficacy is warranted. Trial Registry: This clinical trial is registered as NCT03374995 titled KeraStat(R) Cream for Radiation Dermatitis.

Project description:PurposeThis study explores integrating clinical features with radiomic and dosiomic characteristics into AI models to enhance the prediction accuracy of radiation dermatitis (RD) in breast cancer patients undergoing volumetric modulated arc therapy (VMAT).Materials and methodsThis study involved a retrospective analysis of 120 breast cancer patients treated with VMAT at Kaohsiung Veterans General Hospital from 2018 to 2023. Patient data included CT images, radiation doses, Dose-Volume Histogram (DVH) data, and clinical information. Using a Treatment Planning System (TPS), we segmented CT images into Regions of Interest (ROIs) to extract radiomic and dosiomic features, focusing on intensity, shape, texture, and dose distribution characteristics. Features significantly associated with the development of RD were identified using ANOVA and LASSO regression (p-value < 0.05). These features were then employed to train and evaluate Logistic Regression (LR) and Random Forest (RF) models, using tenfold cross-validation to ensure robust assessment of model efficacy.ResultsIn this study, 102 out of 120 VMAT-treated breast cancer patients were included in the detailed analysis. Thirty-two percent of these patients developed Grade 2+ RD. Age and BMI were identified as significant clinical predictors. Through feature selection, we narrowed down the vast pool of radiomic and dosiomic data to 689 features, distributed across 10 feature subsets for model construction. In the LR model, the J subset, comprising DVH, Radiomics, and Dosiomics features, demonstrated the highest predictive performance with an AUC of 0.82. The RF model showed that subset I, which includes clinical, radiomic, and dosiomic features, achieved the best predictive accuracy with an AUC of 0.83. These results emphasize that integrating radiomic and dosiomic features significantly enhances the prediction of Grade 2+ RD.ConclusionIntegrating clinical, radiomic, and dosiomic characteristics into AI models significantly improves the prediction of Grade 2+ RD risk in breast cancer patients post-VMAT. The RF model analysis demonstrates that a comprehensive feature set maximizes predictive efficacy, marking a promising step towards utilizing AI in radiation therapy risk assessment and enhancing patient care outcomes.

Dataset Information

Oral curcumin for radiation dermatitis: a URCC NCORP study of 686 breast cancer patients.

Publications

Oral curcumin for radiation dermatitis: a URCC NCORP study of 686 breast cancer patients.

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