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Proton Radiation Therapy Registry

The Johns Hopkins Proton Therapy center is establishing a registry to capture the full 3D radiation dosimetry delivered to the patient, baseline clinical data, and disease, toxicity and quality of life outcomes. The goal is to have all patients treated at the proton center to be included in the registry …

The PREDICT Study: Prospective Early Detection In a Population at High-risk for Common Malignant Tumor

This is a observational, multicenter study, monitoring the circulating tumor DNA (ctDNA) in people who is at risk of cancersassessing the sensitivity and specificity of ctDNA detection in early screening of pan-carcinoma.

Database ITANET - ENETS Registry

This is a prospective observational study with the aim to create an Italian database for the collection of data on diagnostic approach, therapy and follow up of patients affected by GEP-NET (gastro-enteric-pancreatic neuroendocrine tumours) and to include these data into a multi-national European registry database, adhering to the ENETS (european …

Pediatric Hepatic Tumors

Centralized biological collection of multicentric origin, retrospective and prospective of biological samples (tissues and fluids) taken within the framework of the diagnostic and therapeutic management of children and adolescents with liver tumor, and supported in the centers of French Society for Childhood Cancers (SFCE) with associated clinical database.

Cancer Genome Atlas of China:Lung Cancer

Based on 2500 lung cancer tumor tissue samples from about 40 clinical centers in China, the molecular typing of lung cancer in China will be figured out by high throughput sequencing, which will provide the basis for the follow-up research and development of new drugs as well as the guidance …

Using Deep Learning Methods to Analyze Automated Breast Ultrasound Images to Establish a Diagnosis Therapy Assessment and Prognosis Prediction Model of Breast Cancer.

The purpose of this study is using a deep learning method to analyze the automated breast ultrasound (ABUS) imagings, establish and evaluate a diagnosis, therapy assessment and prognosis prediction model of breast cancer. The model would provide important references for further early prevention, early diagnosis and personalized treatment.