Delineation of reduced CTV2 on the basis of the characteristics and distribution of cervical lymph node metastasis in nasopharyngeal carcinoma.

Introduction: The core objective of this study was to precisely locate metastatic lymph nodes, identify potential areas in nasopharyngeal carcinoma patients that may not require radiotherapy, and propose a hypothesis for reduced target volume radiotherapy on the basis of these findings. Ultimately, we reassessed the differences in dosimetry of organs at risk (OARs) between reduced target volume (reduced CTV2) radiotherapy and standard radiotherapy.

Methods And Materials: A total of 209 patients participated in the study.

Neutrophil-to-lymphocyte ratio and short-term mortality in patients having anti-MDA5-positive dermatomyositis with interstitial lung disease: a retrospective study.

Background: In this study, we aimed to explore the association between baseline and early changes in the neutrophil-to-lymphocyte ratio (NLR) and the 30-day mortality rate in patients having anti-melanoma differentiation-associated gene 5 (MDA5)-positive dermatomyositis with interstitial lung disease (DM-ILD).

Methods: Overall, 263 patients with anti-MDA5 DM-ILD from four centers in China were analyzed. Multivariate logistic regression analysis was used to evaluate the impact of baseline NLR on the 30-day mortality rate in patients with anti-MDA5-positive DM-ILD.

Association between sarcopenia and weight-adjusted waist index in male patients with type 2 diabetes.

Background: The Weight-adjusted-waist index (WWI) has emerged as a predictive factor for a range of metabolic disorders. To date, the predictive value of the WWI in relation to sarcopenia in individuals with diabetics has not been extensively explored. This study aims to investigate the impact of the WWI on the prevalence of sarcopenia among patients with type 2 diabetes mellitus (T2DM).

Unveiling the omics tapestry of B-acute lymphoblastic leukemia: bridging genomics, metabolomics, and immunomics.

Acute B-lymphoblastic leukemia (B-ALL) is a highly heterogeneous hematologic malignancy, characterized by significant molecular differences among patients as the disease progresses. While the PI3K-Akt signaling pathway and metabolic reprogramming are known to play crucial roles in B-ALL, the interactions between lipid metabolism, immune pathways, and drug resistance remain unclear. In this study, we performed multi-omics analysis on different patient cohorts (newly diagnosed, relapsed, standard-risk, and poor-risk) to investigate the molecular characteristics associated with metabolism, signaling pathways, and immune regulation in B-ALL.

A multicenter study of neurofibromatosis type 1 utilizing deep learning for whole body tumor identification.

Deep-learning models have shown promise in differentiating between benign and malignant lesions. Previous studies have primarily focused on specific anatomical regions, overlooking tumors occurring throughout the body with highly heterogeneous whole-body backgrounds. Using neurofibromatosis type 1 (NF1) as an example, this study developed highly accurate MRI-based deep-learning models for the early automated screening of malignant peripheral nerve sheath tumors (MPNSTs) against complex whole-body background.