Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis

Breast Cancer Clinical Trial

— SENOMETRY  

Official title:

SENOMETRY : Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis

Clinical Trial Details — Status: Recruiting

Administrative data

• NCT number: NCT02810093
• Other study ID #: 6373
• Status: Recruiting
• Phase: N/A
• First received: June 20, 2016
• Last updated: June 20, 2016
• Start date: May 2016
• Est. completion date: December 2016

Study information

• Verified date: June 2016
• Source: University Hospital, Strasbourg, France
• Contact: Anne Laudamy
• Phone: +33 3 88 11 66 88
• Email: anne.laudamy[@]chru-strasbourg.fr
• Is FDA regulated: No
• Health authority: France: Institutional Ethical Committee
• Study type: Observational

Clinical Trial Summary

Primary purpose :

To develop a method to automatically extract and structure the information included in numerous medical records from breast cancer patients.

Secondary purpose :

With this procedure we can analyze the content of ten thousand anonymized textual medical records.

This information should enable us to explore many subjects, such as:

• The impact of certain therapeutic procedures

• The characteristics of sub-groups of patients

• Pregnancy associated breast cancers

• Risk factors

Recruitment information / eligibility

• Status: Recruiting
• Enrollment: 10000
• Est. completion date: December 2016
• Est. primary completion date: November 2016
• Accepts healthy volunteers: No
• Gender: Female
• Age group: 18 Years and older

Eligibility

Inclusion Criteria:

• Majority (age > 18)

• Malignant breast tumors

• signed informed consent

Exclusion Criteria:

• Benign breast pathology

• Patients not initially treated at the Hôpitaux Universitaires de Strasbourg

Study Design

Observational Model: Cohort, Time Perspective: Retrospective

Related Conditions & MeSH terms

• Breast Cancer
• Breast Neoplasms

Intervention

Other:
• retrospective medical records analyze
Ten thousand medical records (between years 2000 and 2016) will be analyzed

Locations

Country	Name	City	State
France	University Strasbourg Hospital	Strasbourg

Sponsors (2)

Lead Sponsor	Collaborator
University Hospital, Strasbourg, France	Quantmetry

Country where clinical trial is conducted

France, 

Outcome

Type	Measure	Description	Time frame	Safety issue
Primary	Validate the reliability of a computer-based, automatic information retrieval method specific to medical records from breast cancer multidisciplinary meetings		6 months	No
Secondary	Breast cancer recurrence rate after some therapeutic procedures	Study of the recurrence rate of different subgroups of patients where various procedures were performed	6 months	No