Advanced Imaging Holistic Omics Biobank
试验速览
- 阶段
- 不适用
- 状态
- 招募中
- 入组人数
- 50,000
- 试验地点
- 1
- 主要终点
- a large scale multiomics archive of patients submitted to advanced imaging studies to support a wide range of research intended to identify imaging signature able to improve the prevention, diagnosis and treatment of disease
研究概览
简要总结
Imaging methods today represent the pillar of prevention, diagnosis, patients monitoring and treatment. Improvement in technology led the development of increasingly high-performance scanners whose potential has not yet been fully explored. In particular, recently introduced photon counting CT scanner and new high filed MRI offers a lake of latent information derived from the images (e.g. spectral data from CT) of potentially great interest and potentially able to provide new insight but that are currently mostly unexplored .These features are also called "opportunist features" because they are in each exam and can be freely derived from images without changing the study protocol used for clinical practice examination but extracted a posteriori from the images representing a precious source of deep characterization of the patients, equally or even more than a genomic analysis, with possible high relevance in the field of screening and prevention, being able to contribute to defining signatures indicating a particular risk of remotely developing a specific pathological condition. The prospective collection of clinical and imaging data from subjects undergoing diagnostic tests with advanced technology has the potential to increase knowledge of the pathophysiological mechanisms of different pathological conditions, to explore and validate the diagnostic-predictive value of opportunistic features not currently used in practice clinical, to increase the diagnostic and prognostic accuracy of CT and MRI examinations and to provide a unique pool for scientific research. Previous relevant experience was conducted in the United Kingdom (UK biobank) where data from over 500,000 patients have been collected in the last 10 years, providing an enormous pool for spontaneous and funded scientific research. This project (UK biobank), although of enormous scientific value, is currently obsolete in terms of the imaging technology used.
详细描述
The present study is a observational prospective single center study aimed to build a large-scale multiomic database of patients submitted to advanced imaging study performed Photon Counting TC (Neaotom Alpha, Siemens) and 3T Magnetic Resonance Imaging (MR 7700, Philips).
Consecutive adult patients submitted to the aforementioned imaging modality will be enrolled.
For the enrolled patients imaging raw data will be stored additionally to conventional images, routinely stored for legal requirements.
At the time of enrollment clinical, demographic and lab test will be collected as well as results from genetic test if available, and related previous imaging study (e.g. mammography in patients submitted to whole body MRI or breast MRI, colonscopy in patients submitted to abdominal CT or MRI).
For patients candidate to imaging examination using contrast media at the time of needle position for contrast administration a blood sample will be collected for lab test analysis.
研究设计
- 研究类型
- Observational
- 观察模型
- Cohort
- 时间视角
- Prospective
入排标准
- 年龄范围
- 18 Years 至 —(Adult, Older Adult)
- 性别
- All
- 接受健康志愿者
- 否
入选标准
- •Adult subjects (>18 y.o.) submitted to Computed Tomography (CT) using Photon Counting CT scanner (Neaotom Alpha, Siemens) and Magnetic Resonance (MRI) exams acquired with 3T scanner (MR 7700, Philips) for examination required for clinical practice or for clinical trials at the IRCCS San Raffaele Hospital who signe an Informed Consent authorizing data collection.
排除标准
- •Absent informed consent signed
研究组 & 干预措施
prospective cohort
All adult (≥18 y.o) subjects (until 50000 individuals) presenting to the U.O of Radiologia DiMer "Advanced Imaging for Personalized Medicine" to be submitted to imaging study on advanced scanner
干预措施: Computed Tomography (CT) using Photon Counting CT scanner (Neaotom Alpha, Siemens) and Magnetic Resonance (MRI) (Radiation)
结局指标
主要结局
a large scale multiomics archive of patients submitted to advanced imaging studies to support a wide range of research intended to identify imaging signature able to improve the prevention, diagnosis and treatment of disease
时间窗: Follow-up collection yearly for 10 years
次要结局
未报告次要终点
研究者
Antonio Esposito
Professor
IRCCS San Raffaele
