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...

A Novel Stratification Scheme Combined with Internal Arteries in CT Imaging for Guiding Postoperative Adjuvant Transarterial Chemoembolization in Hepatocellular Carcinoma: A Retrospective Cohort Study

Retrospective Cohort Study on Innovative Stratification Scheme Based on Postoperative Combined CT Imaging to Guide Postoperative Adjuvant Transarterial Chemoembolization for Hepatocellular Carcinoma Background Hepatocellular carcinoma (HCC) is the sixth most common cancer globally and the fourth leading cause of cancer-related deaths. For HCC, live...

Watch-and-Wait Strategy vs. Resection in Patients with Radiologic Complete Response After Conversion Therapy for Initially Unresectable Hepatocellular Carcinoma: A Propensity Score-Matching Comparative Study

Observation vs Surgical Resection for Initial Unresectable Hepatocellular Carcinoma after Conversion Therapy Background Hepatocellular carcinoma (HCC) is the sixth most common cancer globally and the third leading cause of cancer-related mortality. Partial hepatectomy can provide a 5-year survival rate of 70-80% in the treatment of early-stage HCC....

Artificial Intelligence-Based Classification of Breast Lesion from Contrast Enhanced Mammography: A Multicenter Study

Multi-center Study on Artificial Intelligence-based Classification of Breast Lesions In the field of breast cancer, early diagnosis is crucial for improving treatment efficacy and survival rate. Breast cancer can be mainly divided into two categories: in situ carcinoma and invasive carcinoma, which have significant differences in treatment strategi...

Radiomics-based Prediction of Local Control in Patients with Brain Metastases Following Postoperative Stereotactic Radiotherapy

Application of Radiomics in Predicting Local Control in Postoperative Stereotactic Radiotherapy for Brain Metastasis Patients Academic Background Brain Metastases (BMs) are the most common malignant brain tumors, far surpassing primary brain tumors like gliomas in incidence. Recent medical guidelines recommend surgical treatment for patients with s...

Leptomeningeal Metastases in IDH-Wildtype Glioblastomas Revisited: Comprehensive Analysis of Incidence, Risk Factors, and Prognosis Based on Post-Contrast FLAIR

Comprehensive Analysis of Leptomeningeal Metastasis in IDH Wild-Type Glioblastoma In this article published in the journal “Neuro-Oncology,” the research team starting in 2024 delves into the incidence, risk factors, and prognosis of leptomeningeal metastases (LM) in patients with isocitrate dehydrogenase (IDH) wild-type glioblastoma. This study wa...

Gliomatosis cerebri in children: a poor prognostic phenotype of diffuse gliomas with a distinct molecular profile

Childhood Gliomatosis Cerebri: A Poor Prognosis Phenotype of Diffuse Glioma with Distinct Molecular Characteristics Introduction Gliomatosis cerebri (GC) is a highly invasive form of diffuse glioma. It was initially discarded as an independent pathological type due to its indeterminate molecular characteristics. However, with the advancements in mo...