Predictive factors for thyroid complications after radiation therapy—data from a cohort of cancer patients closely followed since they were irradiated

2022 ◽  
Author(s):  
Vitoria Duarte ◽  
Joana Maciel ◽  
Daniela Cavaco ◽  
Sara Donato ◽  
Inês Damásio ◽  
...  
Keyword(s):  
Radiation Therapy ◽  
Cancer Patients ◽  
Predictive Factors

SINGLE-FACTOR LINEAR REGRESSION MODEL OF HODGKIN’S LYMPHOMA IN ADOLESCENTS

2017 ◽  
Vol 63 (2) ◽  
pp. 320-325
Author(s):  
Svetlana Kuleva ◽  
Svetlana Ivanova ◽  
Andrey Karitskiy ◽  
Darya Zvyagintseva
Keyword(s):  
Radiation Therapy ◽  
Linear Regression ◽  
Predictive Factors ◽  
Hodgkin’S Lymphoma ◽  
Risk Group ◽  
Hodgkin's Lymphoma ◽  
Regression Equations ◽  
Single Factor ◽  
Number Of Cycles ◽  
Selection Of

With the use of regression and dispersion analyzes conducted in this study it was possible to identify predictive factors that significantly worsen the prognosis of Hodgkin’s lymphoma in adolescents however constructed regression equations did not pass the quality assessment of the models, which did not allow them to be used for the construction of point and interval predictions. In a cohort of patients enrolled in the study a risk-adapted treatment program based on the risk group for stratification was conducted. Negative aspects of the results of our study could be related to the already selected volume of the program for these patients. In turn our analysis proves the validity of the selection of therapeutic loads (a number of cycles of polychemotherapy, doses of radiation therapy) depending on the risk group, into which the adolescent is stratified.

Radiation therapy for older cancer patients

Aging Health ◽  
2006 ◽  
Vol 2 (6) ◽  
pp. 919-930 ◽  
Author(s):  
Ajay Sandhu ◽  
Arno J Mundt
Keyword(s):  
Radiation Therapy ◽  
Cancer Patients ◽  
Older Cancer Patients

scholarly journals Changes in peripheral immune cells after intraoperative radiation therapy in low-risk breast cancer

2020 ◽  
Vol 62 (1) ◽  
pp. 110-118
Author(s):  
Isabel Linares-Galiana ◽  
Miguel Angel Berenguer-Frances ◽  
Rut Cañas-Cortés ◽  
Monica Pujol-Canadell ◽  
Silvia Comas-Antón ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Radiation Therapy ◽  
Single Dose ◽  
Cancer Patients ◽  
Antitumor Immunity ◽  
Low Risk ◽  
Intraoperative Radiation Therapy ◽  
Breast Cancer Patients ◽  
Intraoperative Radiation ◽  
Risk Breast Cancer

Abstract A detailed understanding of the interactions and the best dose-fractionation scheme of radiation to maximize antitumor immunity have not been fully established. In this study, the effect on the host immune system of a single dose of 20 Gy through intraoperative radiation therapy (IORT) on the surgical bed in low-risk breast cancer patients undergoing conserving breast cancer has been assessed. Peripheral blood samples from 13 patients were collected preoperatively and at 48 h and 3 and 10 weeks after the administration of radiation. We performed a flow cytometry analysis for lymphocyte subpopulations, natural killer cells (NK), regulatory T cells (Treg) and myeloid-derived suppressor cells (MDSCs). We observed that the subpopulation of NK CD56+high CD16+ increased significantly at 3 weeks after IORT (0.30–0.42%, P < 0.001), while no changes were found in immunosuppressive profile, CD4+CD25+Foxp3+Helios+ Treg cells, granulocytic MDSCs (G-MDSCs) and monocytic MDSCs (Mo-MDSCs). A single dose of IORT may be an effective approach to improve antitumor immunity based on the increase in NK cells and the non-stimulation of immunosuppressive cells involved in immune escape. These findings support future combinations of IORT with immunotherapy, if they are confirmed in a large cohort of breast cancer patients.

Predictive Factors for the Development of Dyspnea Within 7 Days After Admission Among Terminally Ill Cancer Patients

2021 ◽  
pp. 104990912110288
Author(s):  
Ryo Matsunuma ◽  
Takashi Yamaguchi ◽  
Masanori Mori ◽  
Tomoo Ikari ◽  
Kozue Suzuki ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Cancer Patients ◽  
Predictive Factors ◽  
Performance Status ◽  
Univariate Analysis ◽  
Terminally Ill ◽  
Primary Lung Cancer ◽  
Poor Performance Status ◽  
Terminally Ill Cancer Patients ◽  
Development Group

Background: Predictive factors for the development of dyspnea have not been reported among terminally ill cancer patients. Objective: This current study aimed to identify the predictive factors attributed to the development of dyspnea within 7 days after admission among patients with cancer. Methods: This was a secondary analysis of a multicenter prospective observational study on the dying process among patients admitted in inpatient hospices/palliative care units. Patients were divided into 2 groups: those who developed dyspnea (development group) and those who did not (non-development group). To determine independent predictive factors, univariate and multivariate analyses using the logistic regression model were performed. Results: From January 2017 to December 2017, 1159 patients were included in this analysis. Univariate analysis showed that male participants, those with primary lung cancer, ascites, and Karnofsky Performance Status score (KPS) of ≤40, smokers, and benzodiazepine users were significantly higher in the development group. Multivariate analysis revealed that primary lung cancer (odds ratio [OR]: 2.80, 95% confidence interval [95% CI]: 1.47-5.31; p = 0.002), KPS score (≤40) (OR: 1.84, 95% CI: 1.02-3.31; p = 0.044), and presence of ascites (OR: 2.34, 95% CI: 1.36-4.02; p = 0.002) were independent predictive factors for the development of dyspnea. Conclusions: Lung cancer, poor performance status, and ascites may be predictive factors for the development of dyspnea among terminally ill cancer patients. However, further studies should be performed to validate these findings.

Sign in / Sign up

Export Citation Format

Share Document