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Knowledge-based DVH estimation and optimization for breast VMAT plans with and without avoidance sectors
Knowledge-based DVH estimation and optimization for breast VMAT plans with and without avoidance sectors
To analyze RapidPlan knowledge-based models for DVH estimation of organs at risk from breast cancer VMAT plans presenting ...
18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
18F-FET PET radiomics-based survival prediction in glioblastoma patients receiving radio(chemo)therapy
Quantitative image analysis based on radiomic feature extraction is an emerging field for survival prediction in oncologic...
Role of postoperative radiotherapy in resected adenoid cystic carcinoma of the head and neck
Role of postoperative radiotherapy in resected adenoid cystic carcinoma of the head and neck
Although postoperative radiotherapy (PORT) is demonstrably effective in local control of head and neck adenoid cystic carc...
Radiotherapy modulates tumor cell fate decisions: a review
Radiotherapy modulates tumor cell fate decisions: a review
Cancer has always been a worldwide problem, and the application of radiotherapy has greatly improved the survival rate of ...
Characterization and dynamics of the soluble immunological microenvironment in melanoma patients undergoing radiotherapy
Characterization and dynamics of the soluble immunological microenvironment in melanoma patients undergoing radiotherapy
Malignant melanoma constitutes an aggressive tumor of the skin, the pathogenesis of which is influenced by immunological p...
Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images
Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images
Dose painting planning would be more complicated due to different levels of prescribed doses and more complex evaluation w...
ΔNp63α transcriptionally represses p53 target genes involved in the radiation-induced DNA damage response
ΔNp63α transcriptionally represses p53 target genes involved in the radiation-induced DNA damage response
The DNA damage response (DDR) is a mechanism that protects cells against radiation-induced oxidative DNA damage by causing...
Monte Carlo simulation of linac using PRIMO
Monte Carlo simulation of linac using PRIMO
Monte Carlo simulation is considered as the most accurate method for dose calculation in radiotherapy. PRIMO is a Monte-Ca...
Chemoradiation for elderly patients (≥ 65 years) with esophageal cancer: a retrospective single-center analysis
Chemoradiation for elderly patients (≥ 65 years) with esophageal cancer: a retrospective single-center analysis
Present studies on the efficacy and safety of curative chemoradiation therapy (CRT) with esophageal cancer reflect heterog...
A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation
A dual deep neural network for auto-delineation in cervical cancer radiotherapy with clinical validation
Artificial intelligence (AI) algorithms are capable of automatically detecting contouring boundaries in medical images. Ho...
Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
Functional brain imaging interventions for radiation therapy planning in patients with glioblastoma: a systematic review
This systematic review aims to synthesise the outcomes of different strategies of incorporating functional biological mark...
Comprehensive clinical evaluation of TomoEQA for patient-specific pre-treatment quality assurance in helical tomotherapy
Comprehensive clinical evaluation of TomoEQA for patient-specific pre-treatment quality assurance in helical tomotherapy
Based on a previous study on the feasibility of TomoEQA, an exit detector-based patient-specific pre-treatment quality ass...
Deep learning in CT image segmentation of cervical cancer: a systematic review and meta-analysis
Deep learning in CT image segmentation of cervical cancer: a systematic review and meta-analysis
This paper attempts to conduct a systematic review and meta-analysis of deep learning (DLs) models for cervical cancer CT ...
Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma
Impact of random outliers in auto-segmented targets on radiotherapy treatment plans for glioblastoma
To save time and have more consistent contours, fully automatic segmentation of targets and organs at risk (OAR) is a valu...
Efficacy and safety of carbon ion radiotherapy for bone sarcomas: a systematic review and meta-analysis
Efficacy and safety of carbon ion radiotherapy for bone sarcomas: a systematic review and meta-analysis
This study aimed to systematically evaluate and conduct a meta-analysis of the efficacy and safety of carbon ion radiother...