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CTRI Number  CTRI/2025/11/097943 [Registered on: 24/11/2025] Trial Registered Prospectively
Last Modified On: 18/11/2025
Post Graduate Thesis  No 
Type of Trial  Observational 
Type of Study   Cross Sectional Study 
Study Design  Single Arm Study 
Public Title of Study   A lab study using a dye glow camera and artificial intelligence to quickly check on the removed tissue sample whether cancer has been fully removed in breast and colorectal surgery. 
Scientific Title of Study   Smart Surgical Margins: An Artificial Intelligence Powered RealTime Cancer Residual Detection Using Fluorescence Imaging System: A Cross-Sectional Study at a Tertiary Care Hospital in Mandya 
Trial Acronym  NIL 
Secondary IDs if Any  
Secondary ID  Identifier 
U1111-1331-0551  UTN 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr N Lingaraju 
Designation  Associate professor and Neurosurgeon 
Affiliation  Mandya Institute of Medical Science 
Address  Unit C Department of General Surgery MIMS 3rd cross Guthal road Maruthi nagar Mandya Karnataka 571401 India

Mandya
KARNATAKA
571401
India 
Phone  9480387075  
Fax    
Email  1983lingu@gmail.com  
 
Details of Contact Person
Scientific Query
 
Name  Dr N Lingaraju 
Designation  Associate professor and Neurosurgeon 
Affiliation  Mandya Institute of Medical Science 
Address  Unit C Department of General Surgery MIMS,3rd cross Guthal road Maruthi nagar Mandya Karnataka 571401 India


KARNATAKA
571401
India 
Phone  9480387075  
Fax    
Email  1983lingu@gmail.com  
 
Details of Contact Person
Public Query
 
Name  Ing Vishwas Gowda P N 
Designation  Lead research and development engineer 
Affiliation  Manmed Dynamics LLP 
Address  206 Panakanahalli Kasaba hobli Konanahalli post Mandya

Mandya
KARNATAKA
571403
India 
Phone  8197239974  
Fax    
Email  vishwas.gowda@manmed.in  
 
Source of Monetary or Material Support  
Indian Council of Medical Research (ICMR) - Intramural V Ramalingaswami Bhawan Ansari Nagar New Delhi 110029 India Monetary support grant Government funding agency 
Mandya Institute of Medical Sciences (MIMS) 3rd cross Guthal road Maruthi nagar Mandya Karnataka 571401 India In kind clinical and pathology support Government medical college hospital 
ManMed Dynamics LLP 206 Panakanahalli Kasaba hobli Konanahalli post Mandya 571403 In kind engineering imaging rig and AI compute Industry private company 
 
Primary Sponsor  
Name  Mandya Institute of Medical Science MIMS 
Address  3rd cross Guthal road Maruthi nagar Mandya Karnataka 571401 India 
Type of Sponsor  Government medical college 
 
Details of Secondary Sponsor  
Name  Address 
Indian Council for Medical Research ICMR  V Ramalingaswami Bhawan Ansari Nagar New Delhi 110029 India 
Manmed Dynamics LLP  206 Panakanahalli Kasaba hobli Konanahalli post Mandya 571403 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr N Lingaraju  Mandya Institute of Medical Science  Department of Surgery 3rd cross Guthal road Maruthi nagar Mandya Karnataka 571401 India
Mandya
KARNATAKA 
9480387075

1983lingu@gmail.com 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institution Ethics Committee, MIMS, Mandya  Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: C50||Malignant neoplasm of breast, (2) ICD-10 Condition: C189||Malignant neoplasm of colon, unspecified, (3) ICD-10 Condition: C19||Malignant neoplasm of rectosigmoidjunction, (4) ICD-10 Condition: C20||Malignant neoplasm of rectum,  
 
Intervention / Comparator Agent  
Type  Name  Details 
Intervention  NIL  NIL 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  90.00 Year(s)
Gender  Both 
Details  Adults aged 18 years and above

Primary breast cancer or colorectal cancer scheduled for surgery with curative intent R0 goal

Fresh excised specimen available immediately for ex vivo imaging in the laboratory

Indocyanine green used as per routine care or eligible for topical ex vivo protocol as approved by ethics

Specimen orientation recorded and margins inked before imaging

Time from excision to imaging within four hours

Written informed consent obtained or ethics approved waiver for discarded tissue 
 
ExclusionCriteria 
Details  Metastatic disease or palliative cytoreductive resections

Known hypersensitivity to indocyanine green or iodides when systemic indocyanine green is used

Pregnancy or lactation when systemic indocyanine green is not permitted by local policy

Specimen unsuitable for imaging due to heavy cautery fragmentation inadequate fluorescence or gross contamination

Time to imaging more than four hours after excision

Uncontrolled diabetes as judged by the treating team if you wish to retain this from your proposal

Any serious medical or logistical condition that prevents safe handling imaging or timely processing of the specimen

Any exclusion mandated by the Institutional Ethics Committee 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
Per-face sensitivity and specificity of the index test (ex-vivo ICG fluorescence and Machine Learning) to detect positive or close margins compared with histopathology (H and E) as reference standard.  Day 0 within 0 to 4 hours after surgical excision imaging performed before histopathology sampling 
 
Secondary Outcome  
Outcome  TimePoints 
Area under the ROC curve (AUC) for face-level classification of margin status.  Day 0–1 
umour-to-Background Ratio (TBR) threshold optimizing the Youden index.  Day 0–1 
Time-to-result (minutes) from specimen arrival in the lab to margin heatmap.  Day 0 
Per-slice sensitivity, specificity, PPV/NPV versus histopathology.  Day 0–1 
Concordance between AI hotspot location and histologic margin distance (µm).  Day 0-1 
 
Target Sample Size   Total Sample Size="120"
Sample Size from India="120" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   01/05/2026 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="1"
Months="0"
Days="0" 
Recruitment Status of Trial (Global)   Not Yet Recruiting 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - YES
  1. What data in particular will be shared?
    Response - Individual participant data that underlie the results reported in this article, after de-identification (text, tables, figures, and appendices).

  2. What additional supporting information will be shared?
    Response -  Study Protocol
    Response -  Statistical Analysis Plan
    Response -  Analytic Code

  3. Who will be able to view these files?
    Response - Researchers who provide a methodologically sound proposal.

  4. For what types of analyses will this data be available?
    Response - To achieve aims in the approved proposal.

  5. By what mechanism will data be made available?
    Response - Proposals should be directed to [vishwas.gowda@manmed.in].

  6. For how long will this data be available start date provided 01-05-2026 and end date provided 01-05-2031?
    Response - Beginning 3 months and ending 5 years following article publication.

  7. Any URL or additional information regarding plan/policy for sharing IPD? 
    Additional Information - NIL
Brief Summary  

This is a prospective observational cross sectional diagnostic accuracy study that evaluates an ex vivo near infrared indocyanine green fluorescence imaging system with computer vision and machine learning for assessment of surgical margins on excised breast and colorectal cancer specimens. Fresh inked specimens are imaged in a light tight enclosure under 785 nm excitation with about 830 nm emission capture. The index test produces margin heatmaps and tumour to background ratio metrics on an NVIDIA Jetson platform. The reference standard is histopathology H and E of targeted and control slices from each margin face. Primary outcomes are sensitivity specificity and area under the ROC curve for face level classification against histopathology. Secondary outcomes include time to result per slice diagnostic metrics inter observer agreement and concordance of AI hotspots with histologic margin distance. Adults of eighteen years and above undergoing curative intent surgery are included. Metastatic disease and specimens unsuitable for imaging are excluded. The goal is to deliver same day triage that guides pathology slicing reduces delays and builds a labelled dataset for future in vivo translation.

 
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