Julia Palecki,Matthew Tucker,Andrew Bernstein et al.
Julia Palecki et al.
Lung cancer (LC) is the leading cause of cancer death in people living with HIV (PLWH) and disproportionately affects this group regardless of CD4 count. At the Sidney Kimmel Comprehensive Cancer Center (SKCCC) at Jefferson Health, we treat...
Comparative outcomes of operable non-inflammatory and non-metastatic inflammatory breast cancer in Morocco: a retrospective cohort study [0.03%]
摩洛哥可手术非炎性和非转移性炎性乳腺癌的比较结果：一项基于队列的研究
Nabil Ismaili,Fadila Guessous,Sanaa El Majjaoui
Nabil Ismaili
Background: Outcomes of non-metastatic non-inflammatory breast cancer (non-IBC) and inflammatory breast cancer (IBC) in Moroccan women remain poorly defined. The aim of this study was to compare patient demographics, tumo...
Commentary: Predictive value of serum miR-21 and miR-122 expression on the efficacy of capecitabine combined with transcatheter hepatic arterial embolization chemotherapy for liver metastasis after colorectal cancer surgery in patients with colorectal cancer and construction and verification of nomograms [0.03%]
血清miR-21和miR-122表达预测结直肠癌术后肝转移患者卡培他滨联合 transcatheter hepatic arterial embolization化疗疗效的Meta分析及列线图模型的构建与验证
Mengqi Ding,Nan Ling,Chaojun Wei et al.
Mengqi Ding et al.
Personalized ICU mortality assessment by interpretable machine learning algorithms in patients with sepsis combined lung cancer: a population-based study and an external validation cohort [0.03%]
结合肺癌的脓毒症患者的可解释机器学习算法在ICU的个性化死亡率评估：基于人群的研究和外部验证队列研究
Hongjie Tang,Hairong Hao,Yue Han
Hongjie Tang
Purpose: Sepsis is a leading cause of mortality, especially among immunocompromised patients with lung cancer. We aimed to establish machine learning (ML) based model to accurately forecast ICU mortality in patients with ...
Stereotactic core ablative radiation therapy for small hypoxic tumors: impact of dosimetric approaches and consequent optimization strategy in the context of spatially fractionated radiation therapy [0.03%]
小体积缺氧肿瘤的立体定向核心消融放射治疗：剂量学方法的影响以及在空间分次放疗背景下优化策略的研究
Zhengzheng Xu,Salim Balik,Kaley Woods et al.
Zhengzheng Xu et al.
Purpose: Stereotactic core ablative radiation therapy (SCART) delivers a single ablative dose core to the central hypoxic part while keeping low doses to the periphery of the tumor. This study evaluated the dosimetric imp...
Perforator mapping for head and neck reconstructive surgery: a novel personalized approach using magnetic resonance angiography based 3D models and 3D-printing [0.03%]
基于磁共振血管造影的三维模型和3D打印的个性化穿支血管定位在头颈部重建手术中的应用研究
A F de Geer,I Mulder,L C Ter Beek et al.
A F de Geer et al.
Background: Reconstruction of large head and neck defects in oncologic patients often requires free vascularized tissue flaps. Successful flap design and elevation depend on accurate preoperative identification of perfora...
Artificial intelligence in breast ultrasound: a systematic review of research advances [0.03%]
乳腺超声人工智能：研究进展系统回顾
Jiawei Liu,Linping Pian,Jie Chen et al.
Jiawei Liu et al.
Objective: Through bibliometric visualization analysis, this study aims to summarize research progress in artificial intelligence (AI)-integrated ultrasound technology for breast cancer, reveal research hotspots, developm...
Chylothorax in a patient with advanced ovarian cancer: a case report and literature review [0.03%]
晚期卵巢癌患者发生乳糜胸的病例报道及文献复习
Qiuying Wang,Xiaolan Zhang,Ke Niu et al.
Qiuying Wang et al.
Background: Ovarian cancer complicated with chylothorax is extremely rare, and only eight papers can be searched in PubMed. We report a case of advanced ovarian cancer with extensive lymphatic metastasis that led to chylo...
Evaluation of real-world follow-up methods and their association with adherence and safety in adjuvant breast cancer therapy: a retrospective study [0.03%]
真实世界随访方法的评估及其与辅助乳腺癌治疗依从性和安全性的关联：一项回顾性研究
Na Li,Qian Zhang,Xiaomei Yang et al.
Na Li et al.
Aim: To compare the associations between different follow-up management methods-telephone, WeChat, and mini-program-and treatment compliance, safety, quality of life, and self-management in breast cancer patients receivin...
The significance of PET/CT combined with machine learning models for the classification of lymphoma involvement and metastases in enlarged lymph nodes [0.03%]
PET/CT结合机器学习模型在肿大淋巴结淋巴瘤侵犯和转移分类中的意义
Jingyi Ren,Jinbo Lu,Xun Shi et al.
Jingyi Ren et al.
Objective: Accurate differentiation between lymphoma involvement and lymph node metastasis poses significant diagnostic challenges due to overlapping imaging characteristics. This study evaluates the discriminative capaci...