Phantom and In Vivo Accuracy of Frameless Optical Navigation in Stereotactic Laser Interstitial Thermal Therapy

Accuracy of Frameless Optical Navigation in Stereotactic Laser Interstitial Thermal Therapy Background Glioblastoma is a rapidly growing and invasive brain tumor, and traditional treatment methods include surgical resection, radiation therapy, and chemotherapy. However, for some patients with deep-seated tumors or poor physical conditions, traditio...

Method for Localizing the Seizure Onset Zone in Refractory Epilepsy Patients

In recent years, refractory epilepsy has received increasing attention from the medical community. Refractory epilepsy is defined as the continuing occurrence of severe seizures despite treatment with two appropriate antiepileptic drugs. For patients who are unresponsive to drug treatment, if the seizure onset zone (SOZ) can be accurately localized...

Laser Interstitial Thermal Therapy for First-Line Treatment of Insular Glioma: A Novel Treatment Framework

Application of Laser Interstitial Thermal Therapy in Insular Gliomas Research Background and Problem Statement The management of insular gliomas has always faced significant surgical challenges. Due to the complex functional and vascular anatomy surrounding the insula, maximally safe resection is highly technically challenging. Removing low-grade a...

Outcomes of Mechanical Thrombectomy for Acute Ischemic Stroke in Cancer Patients: A Single-Center Experience and Meta-Analysis

Research Report: Mechanical Thrombectomy Outcomes in Acute Ischemic Stroke Patients with Cancer Background Acute ischemic stroke (AIS) caused by large vessel occlusion (LVO) is a severe neurological injury, which is further complicated in cancer patients. Cancer-related stroke mechanisms include a hypercoagulable state, coagulopathies due to tumor-...

Metagenomic Next-Generation Sequencing, instead of Procalcitonin, Could Guide Antibiotic Usage in Patients with Febrile Acute Necrotizing Pancreatitis: A Multicenter, Prospective Cohort Study

Metagenomic Next-Generation Sequencing as an Alternative to Procalcitonin in Guiding Antibiotic Use in Patients with Acute Necrotizing Pancreatitis and Fever Background and Research Objectives Acute pancreatitis (AP) is one of the leading causes of emergency hospital admissions for digestive system diseases, with significant medical resource utiliz...

An Anatomo-Functional Study of the Interactivity Between the Paracentral Lobule and the Primary Motor Cortex

Neurosurgical Research: Anatomical and Functional Study of Connections between the Paracentral Lobule and Primary Motor Cortex In recent years, researchers have been continuously exploring the connections between different regions of the human brain, particularly those involving motor function and its plasticity. It is known that the paracentral lo...

Development and Validation of a Deep Learning Radiomics Model with Clinical-Radiological Characteristics for the Identification of Occult Peritoneal Metastases in Patients with Pancreatic Ductal Adenocarcinoma

Development and Validation of a Deep Learning Radiomics Model Combined with Clinical Radiological Features for Predicting Occult Peritoneal Metastasis in Patients with Pancreatic Ductal Adenocarcinoma Background Pancreatic ductal adenocarcinoma (PDAC) is an extremely lethal malignancy with a 5-year survival rate of approximately 11%. The poor progn...

Laser Interstitial Thermal Therapy in Neurosurgery: A Single-Surgeon Experience of 313 Patients

Laser Interstitial Thermal Therapy in Neurosurgery: A Single-Surgeon Experience of 313 Patients

Clinical Study Report on Laser Interstitial Thermal Therapy (LITT) in Neurosurgery Background Introduction With the continuous progress of modern medical technology, Laser Interstitial Thermal Therapy (LITT) has gradually gained a foothold in the field of neurosurgical tumor treatment, especially in treating intracranial lesions that are difficult ...

Deep Learning Combining Mammography and Ultrasound Images to Predict the Malignancy of BI-RADS US 4a Lesions in Women with Dense Breasts: A Diagnostic Study

Research on Using Deep Learning to Combine Mammography and Ultrasound Images for Predicting Malignancy of BI-RADS US 4A Lesions in Women with Dense Breasts Background Breast cancer is the most common malignant tumor in women, with a relatively high incidence and mortality rate. Previous studies have found that women with dense breasts are more like...

Precise and safe pulmonary segmentectomy enabled by visualizing cancer margins with dual-channel near-infrared fluorescence

Precise and Safe Lung Segmentectomy Enabled by Dual-Channel Near-Infrared Fluorescence Tumor and Pleural Demarcation Lung cancer is a leading cause of cancer-related deaths globally. Since the introduction of computed tomography screening, the early detection rate of lung cancer has greatly increased, significantly reducing mortality rates. Studies...