Objective: The aim of this study was to build a convolutional neural network (CNN)-based prediction model of glioblastoma (GBM) molecular subtype diagnosis and prognosis with multimodal features.
Methods: In total, 222 GBM patients were included in the training set from Sun Yat-sen University Cancer Center (SYSUCC) and 107 GBM patients were included in the validation set from SYSUCC, Xuanwu Hospital Capital Medical University, and the First Hospital of Jilin University. The multimodal model was trained with MR images (pre- and postcontrast T1-weighted images and T2-weighted images), corresponding MRI impression, and clinical patient information.
Background: Diabetes is a metabolic disease which has been confirmed to be involved with abnormal or excessive body fat accumulation. There is still a lack of nationwide research in China to discuss the relationship between adiposity indicators included body mass index (BMI), waist circumference (WC), visceral adiposity index, waist-height ratio, waist-to-hip ratio (WHR) and diabetes. The question of which one is the best indicator of obesity to predict diabetes in China remains to be unclear.
View Article and Find Full Text PDFRationale: Advanced signet ring cell (SRC) carcinoma has a worse prognosis. Therefore, early diagnosis and prevention is particularly important; SRC tumors have lower R0 resection rate and are thought to be less chemosensitive than non-SRCC. Consequently, a novel postoperative adjuvant treatment is urgently needed to improve clinical outcomes.
View Article and Find Full Text PDFRationale: Nasopharyngeal carcinoma (NPC) is one of the most common malignancies in Southern China. Although combined chemotherapy with radiotherapy has been widely used in treating locally advanced lesions, relapse and metastases remain the primary cause of treatment failure, and are associated with an extremely poor prognosis. Therefore, more efficient and milder therapies are needed.
View Article and Find Full Text PDFZhonghua Yi Xue Za Zhi
January 2008
Objective: To study the mechanism of migration of hepatic stellate cells (HSCs) within the space of Disse microenvironment during liver fibrosis, and to explore the novel pathogenesis of liver fibrosis from the view of cell migration.
Methods: Human HSCs of the line LX2-HSC were cultured. A modified in vitro Boyden chamber system was used to partially mimic the microenvironment of Disse space of normal basement membrane like matrix or that in fibrosis.
Objective: To observe the effect of ligand of peroxisome proliferators-activated receptor gamma (PPAR gamma) 15d-PGJ2 on the proliferation and activation of hepatic stellate cells (HSC) and to study the role played by PPAR gamma during the process of HSC activation.
Methods: By using RT-PCR and cell culture, we investigated the effects of 5 micro mol/L and 10 micro mol/L 15d-PGJ2 on culture-activated HSC and on PDGF-induced HSC proliferation, production of extracellular matrix and expression of chemokines.
Results: The expression of alpha-SMA was significantly suppressed by 5mumol/L 15d-PGJ2, and the expression of PPAR gamma was significantly higher in the 15d-PGJ2 treated group than in the untreated group (0.
Zhonghua Gan Zang Bing Za Zhi
April 2004