A Deep Learning Method to Evaluate QT on Ribociclib
QT-RIBRATING
QT on RIBociclib measuRed by ArTificial INteliGence
1 other identifier
observational
70
1 country
4
Brief Summary
"Deep-learning" is a fast-growing method of machine learning (artificial intelligence, AI) which is arousing the interest of the scientific committee in many medical fields. These methods make it possible to generate matches between raw inputs (such as the digital signal from the ECG) and the desired outputs (for example, the measurement of QTc). Unlike traditional machine learning methods, which require manual extraction of structured and predefined data from raw input, deep-learning methods learn these functionalities directly from raw data, without pre-defined guidelines. With the advent of big-data and the recent exponential increase in computing power, these methods can produce models with exceptional performance. The investigators recently used this type of method using multi-layered artificial neural networks, to create an application based on a model that directly transforms the raw digital data of ECGs (.xml) into a measure of QTc comparable to those respecting the highest standards concerning reproducibility. The main purpose of this trial is to study the performance of our DL-AI model for QTc measurement (vs. best standards of QTc measurements, TCM) applied to the recommended ECG monitoring following ribociclib prescription for breast cancer patients in routine clinical care. The investigators will acquire ECG with diverse devices including simplified devices (one/three lead acquisition, low frequency sampling rate: 125-500 Htz) to determine if they'll be equally performant versus 12-lead acquisition machine to evaluate QTc in this setting.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for all trials
Started Jul 2023
Typical duration for all trials
4 active sites
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
September 1, 2022
CompletedFirst Posted
Study publicly available on registry
November 21, 2022
CompletedStudy Start
First participant enrolled
July 28, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
October 8, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
October 8, 2025
CompletedDecember 4, 2025
November 1, 2025
2.2 years
September 1, 2022
November 27, 2025
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Compare the values of QTc generated by method 1 (overlap method on triplicate of 10 seconds ECG concatenated, TCM; the method of reference) versus method 2 relying on AI methodology in patients' candidate for ribociclib start
Comparison of the 2 methods (TCM vs. DL-AI) to demonstrate if there is a clinically relevant mean QTc difference ≥ 5msec between the 2 methods.
One visit the day of ribociclib start (before ribociclib intake)
Secondary Outcomes (4)
Compare the values of QTc generated by method 1 (overlap method after triplicate concatenation, TCM) versus method 2 (DL-AI) in patients' on/off ribociclib using a digitized 12-lead acquisition ECG device
One visit at day 14+/-3 and day 28+/-3 after start of ribociclib
Compare the values of QTc generated using method 2 (DL-AI) in patients' on/off ribociclib using a miniaturized and/or simplified ECG acquisition device (QT-Medical®, AliveCor®, a holter system (CGM HI-patch) versus using a digitized 12-lead acquisition
One visit at baseline before ribociclib start and then day 14+/-3 and day 28+/-3 after ribociclib start
The clinico-demographic predictors of amplitude of QTc prolongation on ribociclib.
One visit at baseline before ribociclib start and then day 14+/-3 and day 28+/-3 after ribociclib start
Learn ECG features at baseline using deep-learning predictors of magnitude of QTc prolongation on ribociclib
One visit at baseline before ribociclib start and then day 14+/-3 and day 28+/-3 after ribociclib start
Study Arms (1)
Breast cancer patients administered ribociclib.
Prospective cohort of consecutive breast cancer patients requiring ribociclib for their standard of care at the clinically indicated dose, as per treating physician prescription (600mg to 200mg/day for 21 days per 28 days cycle). Association with other hormone-derived therapeutics will be allowed.
Interventions
Patients will have three visits during the cycle for a given dose (600mg/day, 400mg/day or 200mg/day): Baseline , Day 14, Day 28 At each visit, the patient will have the acquisition of a digitized ECG by four modalities within 20 minutes (A 10 second triplicate ECG with WELCH-ALYN ELI-280® with the three 10 sec ECGs collected at approximatively 2-minute intervals, 3 min holter acquisition with a CGM HI-patch ®, a 3 minutes acquisition with AliveCore 6L® device and 10 seconds triplicate acquisition with QT-medical ® device collected at approximatively 2-minute intervals ). Concomitantly with the ECG acquisition, patients will have blood sampling for measurements of variables clinically important for assessment of QTc including potassium, fasting blood glucose, calcemia, magnesium, estradiol, progesterone, FSH, LH, D4-androstenedione, total and free testosterone, SHBG and TSH. Blood concentration of ribociclib will be also assessed.
Eligibility Criteria
Breast cancer patients requiring ribociclib for their standard of care at the clinically indicated dose, as per treating physician. Association with other hormone-derived therapeutics will be allowed.
You may qualify if:
- Adult female patients requiring start of ribociclib based therapy for a breast cancer in their standard of care, as per their summary of product characteristic's indications
- Association with hormone-based therapy in combination is authorized (aromatase inhibitors or fulvestrant)
- Able to provide an informed consent
You may not qualify if:
- Any allergy or contra-indication to ribociclib as mentioned in their as summary of product characteristic's
- Patients presenting a condition precluding accurate QTc measurements on electrocardiogram, i.e paced ventricular rhythm, multiples premature ventricular or supra-ventricular contractions, ventricular tachycardia, supraventricular arrhythmia (including atrial fibrillation, flutter or junctional rhythm)
- Patients with an atrial pacing and sinus dysfunction
- Patients presenting a contra-indication for ECG measurement, or with a device rendering ECG measurements impossible (i.e. Diaphragmatic pacing)
- Patients presenting a contra-indication to ribociclib start; including association with prohibited drug potentializing the risk of TdP
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (4)
CIC - Hôpitaux Universitaires Pitié Salpêtrière, Paris, FRANCE
Paris, PARIS, 75651, France
Groupe Ambroise Paré, Hartmann
Neuilly-sur-Seine, 92200, France
Hôpital Tenon
Paris, 75020, France
Institut Gustave Roussy
Villejuif, 94805, France
Biospecimen
A plasma biobanking and a DNA biobanking will be constitued at each visit (30ml of blood), drawn as a complementary volume to sampling performed in the standard of care
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
September 1, 2022
First Posted
November 21, 2022
Study Start
July 28, 2023
Primary Completion
October 8, 2025
Study Completion
October 8, 2025
Last Updated
December 4, 2025
Record last verified: 2025-11