Enhancing Brain Tumor Classification and Generalization Using DDPM-Generated MRI, Mutual Information and Ensemble Learning [0.03%]
利用DDPM生成的MRI、互信息和集成学习增强脑肿瘤分类和泛化能力
Yael H Moshe,Mina Teicher,Moran Artzi
Yael H Moshe
BackgroundDeep generative models can improve the generalization of deep learning in medical imaging by enriching limited training data with diverse, realistic synthetic images.PurposeTo assess whether Denoising Diffusion Probabilistic Model...
Comment on: VMAT with CCC Algorithm Optimizes Trismus Prevention: Dose-Response Analysis of Jaw Muscles Dmean and Dmax in T3-T4 Nasopharyngeal Carcinoma [0.03%]
关于CCC算法的VMAT优化三叉肌预防：T3-T4鼻咽癌下颌肌肉Dmean和Dmax剂量反应分析评论文章
Erkan Topkan,Efsun Somay,Ugur Selek
Erkan Topkan
Balancing Efficacy and Toxicity in Salvage Brachytherapy and SBRT for Radio-Recurrent Prostate Cancer: Insights Beyond the UroGEC Review [0.03%]
挽救性组织间照射和立体定向体外放射治疗联合治疗复发病灶前列腺癌的疗效及毒性：超越Urogec指南的见解
Mateusz Bilski,Jacek Fijuth,Łukasz Kuncman
Mateusz Bilski
Salvage treatment for locally recurrent prostate cancer after primary radiotherapy remains a clinical challenge, with multiple modalities- including stereotactic body radiotherapy (SBRT), high-dose-rate (HDR) brachytherapy, and low-dose-rat...
From Simple Scores to Intelligent Systems: Encouraging the Development, Validation and Adoption of Robust Prognostic Tools in Small Cell Lung Cancer [0.03%]
从简单的评分系统到智能系统：促进小细胞肺癌可靠预后工具的开发、验证和应用
Ornella Cantale,Sara Oresti,Igor Randulfe et al.
Ornella Cantale et al.
Small cell lung cancer (SCLC) is an aggressive malignancy with poor prognosis. No validated prognostic score has been established to guide clinical decisions in the extensive stage (ES). This narrative review critically examines the evoluti...
Immunotherapy Response Predictive Score Based on Tumor Microenvironment Profiles for Predicting Immunotherapy Outcomes in Advanced Head and Neck Cancer [0.03%]
基于肿瘤微环境谱型的免疫治疗反应预测评分在晚期头颈鳞癌免疫疗效中的预测价值
Hui-Ching Wang,Mei-Ren Pan,Leong-Perng Chan et al.
Hui-Ching Wang et al.
ObjectivesThis retrospective study presents an integrative transcriptomic approach for recurrent and/or metastatic head and neck squamous cell carcinoma (R/M HNSCC) by developing an immune response predictive score (IORPS) derived from tumo...
Development and Validation of a Magnetic Resonance Imaging-Guided Adaptive Radiotherapy Workflow for Long, Continuous Planning Target Volumes [0.03%]
一种用于长、连续规划目标体的磁共振成像引导自适应放射治疗工作流程的研发与验证
Lingling Yan,NingYu Wang,Ke Zhang et al.
Lingling Yan et al.
IntroductionOwing to the limitation in the field size of the magnetic resonance (MR)-Linac, currently, tumors with a length of >20 cm cannot be treated. Thus, the present study aimed to develop an expanded magnetic resonance imaging-guided ...
Multiparametric MRI-Derived Habitat Radiomics in Subregional Analysis for Predicting Axillary Lymph Node Metastatic Burden in Breast Cancer [0.03%]
基于多参数MRI的亚区衍生系谱组学特征预测乳腺癌腋窝淋巴结转移负荷
Yaoqi Han,Fei Gao,Aimei Ouyang et al.
Yaoqi Han et al.
IntroductionAxillary nodal burden reflects the biological aggressiveness and prognostic behavior of breast cancer. This study aimed to develop a subregional habitat radiomics model based on multiparametric magnetic resonance imaging (MRI) a...
CBCT-based Online Adaptive Radiotherapy for Prostate Cancer: Dosimetrical Aspects and Comparison to Non-Adaptive Conventional IGRT [0.03%]
基于CBCT的在线自适应前列腺癌放疗：剂量学研究及与非自适性常规IGRT技术的比较
Niklas Christian Scheele,Jann Fischer,Lovis Hampe et al.
Niklas Christian Scheele et al.
IntroductionDaily anatomical variations in prostate cancer radiotherapy, particularly due to pelvic organ motion and filling, can compromise target coverage and increase exposure to organs at risk (OARs). Conventional image-guided radiother...
ACOSA: A Script-Based Algorithm for Multi-Disease Target Crop and Optimization in Radiotherapy [0.03%]
基于脚本的算法在放射治疗中针对多疾病靶作物和优化的ACOSA方法
Han Guo,Zhiqing Xiao,Huandi Zhou et al.
Han Guo et al.
IntroductionCommercial automatic planning modules are currently limited to single, conventional disease types, which severely restricts their utility when dealing with unconventional plans. Given that such unconventional plans are actually ...