Results 31 to 40 of about 13,873 (237)

Flow cytometric assessment of DNA double-strand break and repair kinetics in prediction of intrinsic radiosensitivity [PDF]

open access: yesIranian Journal of Basic Medical Sciences, 2022
Objective(s): To enhance the efficiency of radiotherapy (RT), implementation of individual-based treatment is essential. In this way, determining individual intrinsic radiosensitivity (IRS) can be useful to achieve minimal adverse effects of RT.
Mohammad-Taghi Bahreyni-Toossi   +3 more
doaj   +1 more source

A Novel Methodology using CT Imaging Biomarkers to Quantify Radiation Sensitivity in the Esophagus with Application to Clinical Trials

open access: yesScientific Reports, 2017
Personalized cancer therapy seeks to tailor treatment to an individual patient’s biology. Therefore, a means to characterize radiosensitivity is necessary. In this study, we investigated radiosensitivity in the normal esophagus using an imaging biomarker
Joshua S. Niedzielski   +8 more
doaj   +1 more source

Donor-specific cell-based assays in studying sensitivity to low-dose radiation: a population-based perspective

open access: yesFrontiers in Public Health, 2014
Currently, a linear no-threshold model is used to estimate health risks associated with exposure to low-dose radiation, a prevalent exposure in the general population, because the direct estimation from epidemiological studies suffers from uncertainty ...
Dora eIl'yasova   +3 more
doaj   +1 more source

Does skin fibroblast radiosensitivity predict squamous cancer cell radiosensitivity of the same individual? [PDF]

open access: yesInternational Journal of Cancer, 2002
AbstractIndividualization of radiation doses is presumed to result in better radiotherapy outcome. Success rate in measuring radiosensitivity is probably the most limiting factor for present radiosensitivity assays to be introduced into clinical routine.
Johanna, Haikonen   +4 more
openaire   +2 more sources

Radiosensitivity in individuals with tuberous sclerosis complex

open access: yesDiscover Oncology
Abstract Benign tumors, but rarely cancer, are common in patients with tuberous sclerosis complex (TSC). Blood samples from patients undergoing treatment for TSC at our institution were analyzed for their individual sensitivity to ionizing radiation. Blood samples were collected from 13 adult patients with TSC.
Kuhlmann, Lukas   +4 more
openaire   +4 more sources

Evaluation of different biomarkers to predict individual radiosensitivity in an inter-laboratory comparison--lessons for future studies. [PDF]

open access: yesPLoS ONE, 2012
Radiotherapy is a powerful cure for several types of solid tumours, but its application is often limited because of severe side effects in individual patients. With the aim to find biomarkers capable of predicting normal tissue side reactions we analysed
Burkhard Greve   +20 more
doaj   +1 more source

Influence of cellular models and individual factor in the biological response to head CT scan exams

open access: yesEuropean Radiology Experimental, 2022
Background While computed tomography (CT) exams are the major cause of medical exposure to ionising radiation, the radiation-induced risks must be documented. We investigated the impact of the cellular models and individual factor on the deoxyribonucleic
Clément Devic   +10 more
doaj   +1 more source

Increased Sensitivity to Ionizing Radiation in a Relevant Subset of Patients with Cancer and Systemic Lupus Erythematosus

open access: yesCells
It has long been hypothesized that systemic lupus erythematosus (SLE) increases radiosensitivity, but recent studies have yielded mixed results. We studied individual radiosensitivity in 70 individuals with SLE using chromosomal aberrations as biomarkers
Hannah Schenker   +12 more
doaj   +1 more source

A Radiosensitivity Gene Signature and XPO1 Predict Clinical Outcomes for Glioma Patients

open access: yesFrontiers in Oncology, 2020
Objective: Glioma is the most common and fatal primary brain tumor that has a high risk of recurrence in adults. Identification of predictive biomarkers is necessary to optimize therapeutic strategies. This study investigated the predictive efficacy of a
Shan Wu, Qiao Qiao, Guang Li
doaj   +1 more source

Prediction of radiosensitivity and radiocurability using a novel supervised artificial neural network

open access: yesBMC Cancer, 2022
Background Radiotherapy has been widely used to treat various cancers, but its efficacy depends on the individual involved. Traditional gene-based machine-learning models have been widely used to predict radiosensitivity.
Zihang Zeng   +10 more
doaj   +1 more source

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