AI in Endoscopic Transsphenoidal Surgery
The Application of Artificial Intelligence to Patients Undergoing Endoscopic Transsphenoidal Surgery: a Single-site Prospective Feasibility and Exploratory Study (IDEAL Stage 1 and 2a)
This study focuses on bringing artificial intelligence into the operating room to assist with pituitary tumour surgeries performed through the nose. These procedures are technically demanding, and training new surgeons is often inconsistent. To address this, researchers at the National Hospital for Neurology and Neurosurgery are testing AI systems that "watch" surgical videos in real-time to identify anatomy, instruments, and the specific phase of the operation.
The core goal of the prospective trial is to improve education and team coordination without interfering with the surgery itself. The AI displays its analysis on tablets positioned for the surgical residents and nurses, rather than the lead surgeon. This setup allows the team to follow the procedure's progress, key anatomy and anticipate next steps without the surgeon needing to stop and explain. Because hospital internet can be unreliable, the study is prioritizing specialized hardware from NVIDIA that processes data locally. This "edge computing" approach ensures the AI is fast and doesn't require a live cloud connection to function.
This trial will assess the device feasibility (IDEAL Stage 1 study, ~6 cases), followed by early safety and system technical refinement (IDEAL 2a study, ~20-30 cases).
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Phase
Phase
- Early Phase 1
Contacts and Locations
Study Locations
-
-
-
London, United Kingdom
- National Hospital For Neurology and Neurosurgery
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Description
The inclusion criteria will be:
- Adult patients (above the age of 18 years old)
- Undergoing endoscopic transsphenoidal surgery
- Able to provide consent
The exclusion criteria will be:
- Patients less than 18 years of age
- Undergoing transcranial surgery or microscopic transsphenoidal surgery
- Unable to provide consent e.g., cannot understand, mental illness, or later withdrawing consent
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Other
- Allocation: N/A
- Interventional Model: Single Group Assignment
- Masking: None (Open Label)
Number of Arms
Arms and Interventions
Participant Group / ArmParticipant Group / Arm |
Intervention / TreatmentIntervention / Treatment |
|---|---|
|
Experimental: Intervention Arm
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Live intra-op AI analysis of endoscopic video feed, with output displayed on supplementary monitor
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Feasibility of live AI video analysis
Time Frame: Immediately after the intervention/procedure/surgery
|
The primary objective of this study is to evaluate the feasibility of the TouchSurgery platform or NVIDIA AGx/IGx based platforms for prospective AI-based surgical video analysis (via observation, validated implementation assessment and human factors questionnaires; and semi-structured interviews of surgical team members).
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Immediately after the intervention/procedure/surgery
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Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Safety
Time Frame: Perioperatively/periprocedurally (surgeon distraction, team disruption); and immediately after the intervention/procedure/surgery (output accuracy, volatility and latency)
|
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Perioperatively/periprocedurally (surgeon distraction, team disruption); and immediately after the intervention/procedure/surgery (output accuracy, volatility and latency)
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Educational yield
Time Frame: Immediately after the intervention/procedure/surgery
|
To evaluate the utility of the platform for educational purposes. Via structured educational yield questionnaire of surgeons involved in each case |
Immediately after the intervention/procedure/surgery
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Surgical outcomes
Time Frame: Through study completion, an average of 1 year
|
|
Through study completion, an average of 1 year
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Collaborators and Investigators
Sponsor
Sponsor
Collaborators
Collaborators
Publications and helpful links
General Publications
- Hirst A, Philippou Y, Blazeby J, Campbell B, Campbell M, Feinberg J, Rovers M, Blencowe N, Pennell C, Quinn T, Rogers W, Cook J, Kolias AG, Agha R, Dahm P, Sedrakyan A, McCulloch P. No Surgical Innovation Without Evaluation: Evolution and Further Development of the IDEAL Framework and Recommendations. Ann Surg. 2019 Feb;269(2):211-220. doi: 10.1097/SLA.0000000000002794.
- Valetopoulou A, Newall N, Khan DZ, Borg A, Bouloux PMG, Bremner F, Buchfelder M, Cudlip S, Dorward N, Drake WM, Fernandez-Miranda JC, Fleseriu M, Geltzeiler M, Ginn J, Gurnell M, Harris S, Jaunmuktane Z, Korbonits M, Kosmin M, Koulouri O, Horsfall HL, Mamelak AN, Mannion R, McBride P, McCormack AI, Melmed S, Miszkiel KA, Raverot G, Santarius T, Schwartz TH, Serrano I, Zada G, Baldeweg SE, Marcus HJ, Kolias AG; PitCOP Collaborators. A core outcome set for pituitary surgery research: an international delphi consensus study. Pituitary. 2025 Jul 23;28(4):88. doi: 10.1007/s11102-025-01553-w.
- Newall N, Khan DZ, Hanrahan JG, Booker J, Borg A, Davids J, Nicolosi F, Sinha S, Dorward N, Marcus HJ. High fidelity simulation of the endoscopic transsphenoidal approach: Validation of the UpSurgeOn TNS Box. Front Surg. 2022 Dec 6;9:1049685. doi: 10.3389/fsurg.2022.1049685. eCollection 2022.
- Khan DZ, Newall N, Koh CH, Das A, Aapan S, Layard Horsfall H, Baldeweg SE, Bano S, Borg A, Chari A, Dorward NL, Elserius A, Giannis T, Jain A, Stoyanov D, Marcus HJ. Video-Based Performance Analysis in Pituitary Surgery - Part 2: Artificial Intelligence Assisted Surgical Coaching. World Neurosurg. 2024 Oct;190:e797-e808. doi: 10.1016/j.wneu.2024.07.219. Epub 2024 Aug 8.
- Khan DZ, Valetopoulou A, Das A, Hanrahan JG, Williams SC, Bano S, Borg A, Dorward NL, Barbarisi S, Culshaw L, Kerr K, Luengo I, Stoyanov D, Marcus HJ. Artificial intelligence assisted operative anatomy recognition in endoscopic pituitary surgery. NPJ Digit Med. 2024 Nov 9;7(1):314. doi: 10.1038/s41746-024-01273-8.
Study record dates
Study Major Dates
Study Start (Estimated)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
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
- Endocrine System Diseases
- Brain Diseases
- Central Nervous System Diseases
- Nervous System Diseases
- Neoplasms by Site
- Neoplasms
- Endocrine Gland Neoplasms
- Nervous System Neoplasms
- Central Nervous System Neoplasms
- Hypothalamic Diseases
- Hypothalamic Neoplasms
- Supratentorial Neoplasms
- Brain Neoplasms
- Pituitary Diseases
- Pituitary Neoplasms
Other Study ID Numbers
Other Study ID Numbers
- 127474
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
IPD Sharing Time Frame
IPD Sharing Access Criteria
IPD Sharing Supporting Information Type
- STUDY_PROTOCOL
- ICF
- CSR
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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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