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

June 20, 2016 updated by: University Hospital, Strasbourg, France

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

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

Study Overview

Status

Unknown

Conditions

Intervention / Treatment

Study Type

Observational

Enrollment (Anticipated)

10000

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

Female

Sampling Method

Probability Sample

Study Population

Patients (men and women) suffering from an in situ or invasive cancer treated at Hôpitaux Universitaires de Strasbourg between years 2000 and 2016.

Description

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 Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Observational Models: Cohort
  • Time Perspectives: Retrospective

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
Breast cancer patients between 2000 and 2016
Patients treated for a breast cancer between 2000 and 2016 in the Hospital of Strasbourg (France).
Other: retrospective medical records analyze
Ten thousand medical records (between years 2000 and 2016) will be analyzed

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Time Frame
Validate the reliability of a computer-based, automatic information retrieval method specific to medical records from breast cancer multidisciplinary meetings
Time Frame: 6 months
6 months

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Breast cancer recurrence rate after some therapeutic procedures
Time Frame: 6 months
Study of the recurrence rate of different subgroups of patients where various procedures were performed
6 months

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

University Hospital, Strasbourg, France

Collaborators

Quantmetry

Investigators

  • Principal Investigator: Carole Mathelin, MD, Strasbourg's University Hospitals

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start

May 1, 2016

Primary Completion (Anticipated)

November 1, 2016

Study Completion (Anticipated)

December 1, 2016

Study Registration Dates

First Submitted

June 20, 2016

First Submitted That Met QC Criteria

June 20, 2016

First Posted (Estimate)

June 22, 2016

Study Record Updates

Last Update Posted (Estimate)

June 22, 2016

Last Update Submitted That Met QC Criteria

June 20, 2016

Last Verified

June 1, 2016

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

  • 6373

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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