Big Data and Text-mining Technologies Applied for Breast Cancer Medical Data Analysis (SENOMETRY)
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
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Anne Laudamy
- Phone Number: +33 3 88 11 66 88
- Email: anne.laudamy@chru-strasbourg.fr
Study Contact Backup
- Name: anatta Razafimanantsoa
- Phone Number: + 33 3 88 11 54 14
- Email: anatta.razafimanantsoa@chru-strasbourg.fr
Study Locations
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Strasbourg, France, 67091
- Recruiting
- University Strasbourg Hospital
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Contact:
- Carole Mathelin, MD
- Phone Number: 03 88 12 78 34
- Email: carole.mathelin.x@gmail.com
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Contact:
- Karl Neuberger
- Email: kneuberger@quantmetry.com
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
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
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Retrospective
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Breast cancer patients between 2000 and 2016
Patients treated for a breast cancer between 2000 and 2016 in the Hospital of Strasbourg (France).
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Ten thousand medical records (between years 2000 and 2016) will be analyzed
|
What is the study measuring?
Primary Outcome Measures
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
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6 months
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Breast cancer recurrence rate after some therapeutic procedures
Time Frame: 6 months
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Study of the recurrence rate of different subgroups of patients where various procedures were performed
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6 months
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Investigators
Investigators
- Principal Investigator: Carole Mathelin, MD, Strasbourg's University Hospitals
Study record dates
Study Major Dates
Study Start
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimate)
First Posted
Study Record Updates
Last Update Posted (Estimate)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- 6373
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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