跳至主要内容
临床试验/NCT03179150
NCT03179150已完成不适用

Clinical Validation of a CAD System for the Automated Identification of Pulmonary Metastases in Oncological Patients - CADM5L

Candiolo Cancer Institute - IRCCS1 个研究点 分布在 1 个国家目标入组 237 人开始时间: 2015年9月1日最近更新:
适应症

试验速览

阶段
不适用
状态
已完成
发起方
入组人数
237
试验地点
1
主要终点
Per-patient detection sensitivity unassisted vs CAD assisted reading

研究概览

简要总结

To compare the diagnostic performance and time efficiency of Computer-Aided Detection (CAD) assisted reading for the identification of pulmonary nodules in chest Computed Tomography (CT) from oncological patients with that of unassisted reading.

详细描述

The main aim of this study is to compare the diagnostic performance of CAD assisted interpretation with that of unassisted reading in the detection of lung metastases in consecutive patients staged for extrathoracic malignancies. This study also aims at validating a new Web/Cloud based workflow for the use of CAD systems in clinical practice, not requiring installation of additional software or hardware and potentially representing a cost-effective CAD solution for clinical facilities.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

性别
All
接受健康志愿者

入选标准

  • Diagnosed extra-thoracic neoplasm

排除标准

  • More than 10 nodules
  • Severe pulmonary fibrosis
  • Diffuse bronchiectasis
  • Extensive inflammatory consolidation
  • Massive pleural effusion
  • Pregnancy

结局指标

主要结局

Per-patient detection sensitivity unassisted vs CAD assisted reading

时间窗: 1 month after collection of data

Comparison of the detection sensitivity between unassisted and CAD assisted reading. Per patient analysis

Per-lesion detection sensitivity unassisted vs CAD assisted reading

时间窗: 1 month after collection of data

Comparison of the detection sensitivity between unassisted and CAD assisted reading. Per-lesion analysis. Sub-analyses per nodule tissue, nodule dimension and nodule localization are included

次要结局

  • Comparison of reading time between unassisted vs CAD assisted reading(1 month after collection of data)

研究者

发起方
Candiolo Cancer Institute - IRCCS
申办方类型
Other
责任方
Principal Investigator
主要研究者

Alberto Traverso

PhD

Candiolo Cancer Institute - IRCCS

研究点 (1)

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