In modern medical diagnostics and clinical research, Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) technology provides significant information regarding tissue pathophysiology. By fitting a Tracer-Kinetic (TK) model, pharmacokinetic (PK) parameters can be extracted from time-series MRI signals. However, these estimated PK parameter...
Classification of 3D MRI Gliomas and Alzheimer’s Disease Based on the Siamese-Transport Domain Adaptation Framework Background In computer-aided diagnosis, 3D magnetic resonance imaging (MRI) screening plays a vital role in the early diagnosis of various brain diseases, effectively preventing the deterioration of the condition. Glioma is a common m...
In recent years, due to the high incidence and lethality of brain tumors, rapid and accurate detection and classification of brain tumors have become particularly important. Brain tumors include both malignant and non-malignant types, and their abnormal growth can cause long-term damage to the brain. Magnetic Resonance Imaging (MRI) is a commonly u...
Research Review on the Predictive Value of Low-Grade Glioma Postoperative Growth Models Introduction Glioma is an aggressive brain tumor whose cells rapidly diffuse within the brain. Understanding and predicting the pattern and speed of this diffusion can help optimize treatment plans. Glioma growth models based on diffusion-proliferation have show...
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...
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...
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-...
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...
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 ...
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...