Volumetric Imaging Follow up of Patients With Liver Metastases of Small Intestinal Neuroendocrine...
Neuroendocrine TumorsLiver MetastasesMore than 50% of intestinal NETs are metastatic at the time of diagnosis, the liver being the main affected organ in 50-90% of cases. Initial liver tumor burden and slope of the tumor growth rate are two major prognostic factors in patients with intestinal NETs, followed by tumor grade at pathology. They are used in routine practice by oncologists to adapt patient treatment. Unlike other tumors, most NETs metastases are slow-growing tumors. Previous studies have shown that approximately half of the patients diagnosed with liver metastases showed no progression over a period of 3 to 6 months. The aim of this non randomised retrospective cohort study is to investigate whether the volumetric monitoring of the total tumor burden compared to the RECIST 1.1 criteria (used in routine practice by radiologists) at baseline and early follow-up (3 to 6 months) is more suitable for NETs, making possible to predict the prognosis at the onset of the disease, and also allowing a better adaptation of the treatment. The secondary objectives are to evaluate if the initial volume of the liver tumor is a prognostic factor of time to progression, to correlate the initial liver tumor volume and the number of liver lesions to the blood concentration of Chromogranin A (CgA), the presence of extra-abdominal disease and to correlate the tumor growth rate (TGR) and KI 67 (%) at base-line.
Clinical and Basic Study for Pediatric Liver Transplantation
Biliary AtresiaMetabolic Disorders2 moreBackground: In mainland China, the development of pediatric liver transplantation (LT) has lagged behind that of adult LT during the past two decades, but it has been progressing immensely in recent years. Renji hospital(shanghai) is currently the largest pediatric transplant center in mainland China. Aim and method: This study is performed for establishment of key techniques for pediatric LT in mainland China, including the indications and timing for pediatric LT, the criteria for donor selections, living donor LT planning, prevention and treatment for posttransplant complications, long-term follow-up management et al.
Observational Study of the Decision Making Towards Clinical Trials in Cancer Patients
Lung CancerLiver CancerThis is a cross-sectional, observational and correlational survey study.This study is aim to survey the the knowledge, attitudes, and decision making towards clinical trials in cancer patients in Taiwan (R.O.C.), which attempts to invite some cancer patients who have been experienced the treatment clinical trials' informed consent process. The research tool is a questionnaire which includes some scale: (1)Clinical trial Knowledge scale, (2) Attitude toward randomized clinical trials scale, (3) Shared Decision Making(SDM-Q-9),(4) Satisfaction with Decision (SWD-scale), and (5) Decision Regret scale(DRS). The investigators expect the research outcome can provide some instructions to improve patients' autonomy, satisfaction of the decision making and communication process between patients and Medical professors whenever cancer patients participating in clinical trials.
Sharable Knowledge Mining Platform
Liver CancerAs a result of increasing adoption of health information systems in hospitals, more and more health records can be gathered and accumulated in the healthcare data repository. For this reason, the opportunity of analyzing and mining the healthcare data for quality improvement is increasing and becoming more and more important. The purpose of the project is to gather the clinical data relevant to liver cancer, and adopt the knowledge discovery and mining modules in information technology (IT) for analyzing and discovering the knowledge from the gathered clinical data. We can analyze the gathered clinical data for comparing the outcomes of different treatment strategies, finding out new diagnosis and staging criteria and factors, and other hidden knowledge included in the clinical data. Afterwards, the discovered results and the mining algorithms can be shared though the sharable knowledge mining platform provided by our project.