Machine learning approaches for predicting progression in hormone-sensitive prostate cancer patients [0.03%]
用于预测激素敏感性前列腺癌患者病程发展的机器学习方法
Bingyu Zhu,Haiyang Jiang,Chongjian Zhang et al.
Bingyu Zhu et al.
Objective: Almost all hormone-sensitive prostate cancer (HSPC) cases eventually progress to castration-resistant prostate cancer (CRPC) following androgen deprivation therapy (ADT). This study aims to develop a machine le...
Modified systemic immune-inflammatory index, modified systemic inflammatory response index and hemoglobin-albumin-lymphocyte-platelet score may serve as markers for evaluating the efficacy of neoadjuvant therapy in breast cancer patients [0.03%]
改良的系统免疫炎症指数、改良的全身炎症反应指数和血红蛋白白蛋白淋巴细胞血小板评分可作为评估乳腺癌患者新辅助治疗效果的标志物
Yuhong Gan,Rongkun Zhu,Jinyuan Li et al.
Yuhong Gan et al.
Objective: To explore the evaluation value of the modified systemic immune-inflammatory index (mSII), modified systemic inflammatory response index (mSIRI) and hemoglobin-albumin-lymphocyte-platelet (HALP) score for the e...
TPX2 promotes gastric cancer progression and angiogenesis via Wnt/β-catenin signaling [0.03%]
TPX2通过Wnt/β-连环蛋白信号促进胃癌进展和血管生成
Li Xu,Weibo Zhang
Li Xu
Background: Among gastric cancer (GC) cases, stomach adenocarcinoma (STAD) comprises the majority, exceeding 95%. GC develops stealthily and quickly; the majority of cases are detected at advanced or mid-stage, which adve...
The value of T1 mapping and intravoxel incoherent motion parameters in predicting PD-L1 expression and dynamically monitoring immunotherapy in advanced lung cancer [0.03%]
T1图和血管内不相干运动参数在预测PD-L1表达及动态监测晚期肺癌免疫治疗价值的研究
Qijia Han,Shulin Li,Zhiming Xiang
Qijia Han
Purpose: To investigate the value of T1 mapping and intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) quantitative parameters in predicting PD-L1 expression and dynamically monitoring immunotherapy effica...
Leptomeningeal metastasis from large-cell neuroendocrine carcinoma of the cervix: a case report and literature review [0.03%]
宫颈大细胞神经内分泌癌脑膜转移一例及文献复习
Peng Xu,Zhen-Jiang Wang,Xin-Mei Dang et al.
Peng Xu et al.
Leptomeningeal metastasis (LM) from neuroendocrine carcinoma of the cervix (NECC) is extremely rare, with only five cases reported in the literature. Immune checkpoint inhibitors (ICIs) have the standard first-line treatment for metastatic ...
Dissecting the causal pathway linking HbA1c to oral cavity cancer via immune cell modulation: a bidirectional mendelian randomization analysis [0.03%]
HbA1c通过免疫细胞调节与口腔癌相关性的链式因果关系分析：双向孟德尔随机化研究
Jieqi Wang,Zhe Zhang,Yujia Wang et al.
Jieqi Wang et al.
Objective: To investigate the immune-mediated mechanisms underlying the causal link between HbA1c and oral cavity cancer. Methods: A bi...
Validation of the predictive value of combined prealbumin and lymphocyte score for prognosis of stage II/III gastric cancer following curative resection [0.03%]
术前血清前白蛋白和淋巴细胞评分联合预测胃癌D2根治术后生存价值的验证研究
Wei Peng,Yan Tan,Jun Cheng et al.
Wei Peng et al.
Objective: Our previous study found that the combined prealbumin and lymphocyte (Co-PaL) score could accurately classify patients into severe, mild to moderate malnutrition and good nutrition, and might be a predictor for...
Signal-aware deep learning-based respiratory motion prediction for lung tumor management [0.03%]
基于信号感知的深度学习肺部肿瘤呼吸运动预测方法
Kaushik Pratim Das,Chandra J,Partha Pratim Medhi
Kaushik Pratim Das
Introduction: Respiratory motion management in radiotherapy for lung cancer patients remains a significant challenge, as it directly affects accurate tumor targeting. Furthermore, unaccounted tumor motion during treatment...
Assessing the robustness and clinical evaluation of a deep-learning segmentation model for head and neck cancer [0.03%]
评估头颈癌深度学习分割模型的稳健性和临床价值
Daniel H Schanne,Léandre Cuenot,Sarah Brüningk et al.
Daniel H Schanne et al.
Background and purpose: Deep learning (DL)-based autosegmentation has improved delineation of organs at risk in radiotherapy for head and neck cancer (HNC). However, automated segmentation of gross tumor volumes (GTVp, GT...
Early brain radiotherapy combined with third-generation EGFR-TKIs improves survival in EGFR-mutant NSCLC with synchronous brain metastases: a multi-center retrospective analysis [0.03%]
早期放疗联合第三代EGFR-TKI治疗伴有同步脑转移的EGFR突变型NSCLC：一项多中心回顾性分析研究
Yaru Kong,Yunchuan Sun,Li Xiao et al.
Yaru Kong et al.
Objective: The optimal timing for combining brain radiotherapy with first-line third-generation EGFR tyrosine kinase inhibitors (TKIs) in patients with EGFR-mutant non-small cell lung cancer (NSCLC) and synchronous brain ...