Feasibility and Utility of Artificial Intelligence (AI) / Machine Learning (ML) - Driven Advanced Intraoperative Visualization and Identification of Critical Anatomic Structures and Procedural Phases in Laparoscopic Cholecystectomy
1 other identifier
interventional
120
1 country
1
Brief Summary
The goal of this study is to evaluate the utility and efficacy of an artificial intelligence (AI) model at identifying structures and phases of surgery compared to traditional white light assessment by trained surgeons. Surgeons will perform the procedure in their standard practice, while the AI model analyzes data from the laparoscopic camera. Surgeons will be asked to audibly state when they identify structures and enter different phases of the surgical procedure. The AI will not alter the surgeon's view or be visible to the surgeon, and the surgeon will perform the procedure in the exact same fashion as they typically do.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P50-P75 for not_applicable
Started Aug 2023
Typical duration for not_applicable
1 active site
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
February 23, 2023
CompletedFirst Posted
Study publicly available on registry
March 20, 2023
CompletedStudy Start
First participant enrolled
August 1, 2023
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 1, 2025
CompletedStudy Completion
Last participant's last visit for all outcomes
December 1, 2025
CompletedFebruary 21, 2024
February 1, 2024
2.3 years
February 23, 2023
February 20, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Precision and accuracy
Precision and accuracy of AI/ML model at identifying procedural phases and critical anatomic structures in laparoscopic cholecystectomy (LC). Precision will be calculated as True Positives / (True Positives + False Positives) Accuracy will be calculated as (True Positives + True Negatives) / Total Samples "True Positive" will be when the AI correctly identifies a procedural phase or critical anatomic structure. "False Positive" will be when it incorrectly labels a procedural phase or critical anatomic structure as the phase or structure of interest. "True Negatives" will be when the AI model correctly labels the phase or structure as not the label of interest. Accuracy and precision will be determined for each of the following labels: * each of three procedural phases (pre-, intra-, and post-gallbladder dissection) * each of seven biliary structures: gallbladder, cystic duct, common hepatic duct, common bile duct, cystic artery, region of interest, danger zone
Immediately after each procedure
Secondary Outcomes (4)
Length of procedure
Immediately after each procedure
Conversion rate to open procedure
Immediately after each procedure
Complication rate
One month after each procedure
Length of hospital stay
One month after each procedure
Study Arms (2)
Indocyanine green (ICG)
EXPERIMENTALPatients in this arm will receive an intravenous injection of indocyanine green (ICG) 45 minutes prior to the start of surgery. This will be used to visualize the biliary anatomy using ActivSight, a device that is FDA 510(k)-cleared for this indication. The surgeon will perform the procedure in their standard fashion using ActivSight. ActivInsight artificial intelligence will be used to analyze the surgical video in real time to identify anatomic structures and phases of surgery.
Non-Indocyanine Green (Non-ICG)
NO INTERVENTIONThe surgeon will perform the procedure in their standard fashion without the use of ICG. ActivInsight artificial intelligence will be used to analyze the surgical video in real time to identify anatomic structures and phases of surgery.
Interventions
Patient will receive a standard dose of indocyanine green (ICG) 45 minutes prior to surgery. ActivSight will be used during laparoscopic cholecystectomy - the surgeon will perform the procedure in their standard fashion. Video data will be analyzed in real-time by Activ Surgical's ActivInsight surgical artificial intelligence platform to identify anatomic structures and surgical phase. The surgeon will be blinded to this information, and will see the standard screens and information they do when performing the procedure in a non-study setting.
Eligibility Criteria
You may qualify if:
- All patients age \> 18 years old who are planned for elective laparoscopic cholecystectomy; spoken command and literacy in the native language spoken at each participating center; ability to understand and follow study procedures; and having provided signed consent.
- Eligible patients will be screened and assigned as per risk calculator for difficulty of LC
- Diagnosis:
- All patients with clinical suspicion and diagnosis of symptomatic cholelithiasis or cholecystitis planned for cholecystectomy.
- Typical imaging as per standard workup findings including US, CT and/or MRI. Plain radiographs and contrast imaging may be obtained by referring physicians and are helpful for confirming the clinical diagnosis.
- Prior therapy:
- o Patients with prior surgery are eligible for enrollment.
- Laboratory:
- Hemoglobin \> 9 g/dL
- Platelet count ≥75,000/µL (may receive transfusions)
- Normal prothrombin time (PT), partial thromboplastin time (PTT) and international normalized ratio (INR) \< 1.5 x upper limit of normal (including patients on prophylactic anticoagulation)
- Liver Function Test
- Renal function: Age-adjusted normal serum creatinine
- Adequate pulmonary function: Defined as no dyspnea at rest, and a pulse oximetry \>94% on room air if there is any clinical indication for determination.
You may not qualify if:
- Non-elective acute cholecystectomy will be excluded.
- Patients assigned to FDA cleared ICG-based visualization are contraindicated for any chronic renal dysfunction, potential drug interaction, history of allergy to ICG or anaphylaxis, and pregnancy.
- Patients currently in any investigational agents.
- Adults unable to consent
- Individuals under 18 years of age
- Pregnant women
- Prisoners
- Vulnerable populations
Contact the study team to confirm eligibility.
Sponsors & Collaborators
- Activ Surgicallead
Study Sites (1)
Memorial Hermann Texas Medical Center
Houston, Texas, 77030, United States
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Study Officials
- PRINCIPAL INVESTIGATOR
Peter Kim, MD, PhD
Activ Surgical
Central Study Contacts
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- NONE
- Purpose
- DIAGNOSTIC
- Intervention Model
- PARALLEL
- Sponsor Type
- INDUSTRY
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
February 23, 2023
First Posted
March 20, 2023
Study Start
August 1, 2023
Primary Completion
December 1, 2025
Study Completion
December 1, 2025
Last Updated
February 21, 2024
Record last verified: 2024-02
Data Sharing
- IPD Sharing
- Will not share