跳至主要内容
临床试验/NCT04219059
NCT04219059已完成不适用

MR Radiomic Features in Prostate Cancer

IRCCS San Raffaele1 个研究点 分布在 1 个国家目标入组 200 人开始时间: 2019年9月3日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
入组人数
200
试验地点
1
主要终点
Number of surrogate bioimaging markers of histological characteristics in MR images

研究概览

简要总结

A combination of correct interpretation of imaging and biopsy has given promising results in terms of detecting clinically significant cancer at radical prostatectomy.

详细描述

Quantitative approaches to medical image analysis have been developed in recent years with the aim to overcome the limitation of qualitative image interpretation, and provide biomarkers for disease characterization. In particular, the new paradigm, "radiomics", is emerging as the high-throughput extraction of quantitative features from imaging which can aid in characterizing phenotype as in vivo expression of tumoral genotype. The goal of radiomics is to extract accurate and reliable quantitative biomarkers which enhance diagnostic confidence in oncology. A combination of correct interpretation of imaging and biopsy has given promising results in terms of detecting clinically significant cancer at radical prostatectomy.

研究设计

研究类型
Observational
观察模型
Case Control
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
Male
接受健康志愿者

入选标准

  • > 18 years of age
  • In house MRI with contrast medium
  • PCa (prostate cancer) biopsy proven diagnosis
  • In house radical prostatectomy

排除标准

  • < 18 years of age
  • MRI without contrast medium
  • Radical prostatectomy executed not in Institution

结局指标

主要结局

Number of surrogate bioimaging markers of histological characteristics in MR images

时间窗: 0-2 years

Segment tumor volumes on the ADC map and extract different imaging features

次要结局

  • Radiomic features from MRI(0-2 years)
  • Extract radiomic features(0-2 years)

研究者

申办方类型
Other
责任方
Principal Investigator
主要研究者

Francesco De Cobelli

Head, Radiology Department

IRCCS San Raffaele

研究点 (1)

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