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Phys Imaging Radiat Oncol
October 2024
Université Paris-Saclay, Gustave Roussy, Inserm, Molecular Radiotherapy and Therapeutic Innovation, U1030, 94800 Villejuif, France.
Background And Purpose: Deep-learning-based automatic segmentation is widely used in radiation oncology to delineate organs-at-risk. Dual-energy CT (DECT) allows the reconstruction of enhanced contrast images that could help with manual and auto-delineation. This paper presents a performance evaluation of a commercial auto-segmentation software on image series generated by a DECT.
View Article and Find Full Text PDFKorean J Neurotrauma
December 2024
Department of Neurosurgery, Korea University Guro Hospital, Korea University College of Medicine, Seoul, Korea.
Spinal cord injury (SCI) following high-energy trauma often leads to lasting neurologic deficits and severe socioeconomic impact. Effective neurointensive care, particularly in the early stages post-injury, is essential for optimizing outcomes. This review discusses the role of neurointensive care in managing SCI, emphasizing early assessment, stabilization, and intervention strategies based on recent evidence-based practices.
View Article and Find Full Text PDFInfect Drug Resist
January 2025
Tuberculosis Diagnosis and Treatment Center, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang Province, People's Republic of China.
Background: Immune checkpoint inhibitors (ICIs) have emerged as the first-line treatment for driver-negative advanced non-small cell lung cancer (NSCLC). However, there is uncertainty regarding the availability and timing of ICI initiation in patients with NSCLC combined with pulmonary tuberculosis (TB). Additionally, the implementation of dual therapy for anti-TB and anti-tumor treatment poses significant challenges in terms of avoiding drug-drug interactions and reducing adverse reactions during clinical diagnosis and treatment.
View Article and Find Full Text PDFCureus
December 2024
Medical Oncology, Healthcare Global Enterprises (HCG) Cancer Center, Bangalore, IND.
Background Clinicians use prognostic biomarker/multi-gene-based tests for predicting recurrence in hormone receptor-positive/HER2-negative (HR+/HER2-) early-stage breast cancer (EBC). CanAssist Beast (CAB) uses the expression of five protein biomarkers in combination with tumor-specific parameters such as tumor size, histopathological grade, and lymph node status to predict the risk of distant recurrence within five years of diagnosis for patients with HR+/HER2-, EBC. The current study aimed to evaluate the impact of prognostic tests on adjuvant chemotherapy decisions by assessing the agreement between clinical and CAB risk stratification as low-risk (LR) or high-risk (HR) for distant recurrence.
View Article and Find Full Text PDFCureus
December 2024
General Surgery, Father Muller Medical College, Mangalore, IND.
Background Wound healing in diabetic foot ulcers (DFUs) is hindered by several physiological and biochemical abnormalities, including prolonged inflammation, an imbalance in extracellular matrix (ECM) synthesis and degradation, insufficient neovascularization, and reduced macrophage activity. In DFUs, excessive and uncontrolled matrix metalloproteinases (MMPs) degrade the ECM and impede wound healing. Matrix metalloproteinase-9 (MMP-9) concentration plays a key role in inflammation and ECM degradation.
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