| CTRI Number |
CTRI/2025/01/078863 [Registered on: 16/01/2025] Trial Registered Prospectively |
| Last Modified On: |
21/12/2024 |
| Post Graduate Thesis |
No |
| Type of Trial |
Observational |
|
Type of Study
|
Cross Sectional Study |
| Study Design |
Other |
|
Public Title of Study
|
Testing the accuracy and reliability of Berry.care, an AI based Oral Cancer Screening tool in community settings |
|
Scientific Title of Study
|
POCTRN Point of Care Technologies for Nutrition Infection and Cancer for Global Health PORTENT Study AI based Oral Cancer Screening
|
| Trial Acronym |
NIL |
|
Secondary IDs if Any
|
| Secondary ID |
Identifier |
| NIL |
NIL |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Dr Hari Menon |
| Designation |
Professor of Haematology & Head of Medical Oncology |
| Affiliation |
St Johns Medical College Hospital |
| Address |
Department of Medical Oncology, St Johns Medical College Hospital, St Johns National Academy of Health Sciences, Sarjapur Road
Bangalore KARNATAKA 560034 India |
| Phone |
08049467000 |
| Fax |
|
| Email |
hari.menon@stjohns.in |
|
Details of Contact Person Scientific Query
|
| Name |
Dr Verghese Thomas |
| Designation |
Assistant Professor - Research |
| Affiliation |
St Johns Research Institute |
| Address |
Division of Medical Informatics, St Johns Research Institute, 100 Ft Road, Koramangala
Bangalore KARNATAKA 560034 India |
| Phone |
08049467000 |
| Fax |
|
| Email |
verghese.t@sjri.res.in |
|
Details of Contact Person Public Query
|
| Name |
Dr Ryan Fernandez |
| Designation |
Assistant Professor and RDGO |
| Affiliation |
St Johns Research Institute |
| Address |
Division of Medical Informatics, St Johns Research Institute, 100 Ft Road, Koramangala
Bangalore KARNATAKA 560034 India |
| Phone |
08049467000 |
| Fax |
|
| Email |
ryan@sjri.res.in |
|
|
Source of Monetary or Material Support
|
| National Institutes of Health (NIH) National Institute of Biomedical Imaging and Bioengineering (NIBIB) |
|
|
Primary Sponsor
|
| Name |
NIH National Institute of Biomedical Imaging and Bioengineering (NIBIB) |
| Address |
9000 Rockville Pike Building 31, Room 1C14 Bethesda, MD 20892,
USA |
| Type of Sponsor |
Government funding agency |
|
|
Details of Secondary Sponsor
|
|
|
Countries of Recruitment
|
India |
|
Sites of Study
|
| No of Sites = 1 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| Dr Hari Menon |
St Johns Medical College Hospital |
Department of Medical Oncology, St Johns Medical College Hospital, St Johns National Academy of Health Sciences, Sarjapur Road Bangalore KARNATAKA |
08049467000
hari.menon@stjohns.in |
|
|
Details of Ethics Committee
|
| No of Ethics Committees= 1 |
| Name of Committee |
Approval Status |
| St Johns Institutional Ethics Committee, Bangalore |
Approved |
|
|
Regulatory Clearance Status from DCGI
|
|
|
Health Condition / Problems Studied
|
| Health Type |
Condition |
| Healthy Human Volunteers |
Adult volunteers attending dental health camps |
|
|
Intervention / Comparator Agent
|
| Type |
Name |
Details |
| Comparator Agent |
Onsite Oral cancer screening by trained dentist |
A trained dentist will do a physical examination on the participants to screen for oral potentially malignant disorders during oral health camps. Each patient will undergo history taking and oral cavity examination by the dentist which will take approximately 10 minutes. The medications will be prescribed and referral provided as per the dentist opinion. The entire duration of the study is 1 year. |
| Intervention |
Oral cancer screening by community health workers using Berry.care mobile app |
Berry.care, an AI based oral cancer screening mobile app will be used by an onsite community health care worker (CHW) to screen for oral potentially malignant disorders among participants attending oral health camps. Each participant will undergo one-time cancer screening using Berry.care and it will take about 5 minutes. During the screening, the CHW will take 10 photos of the participants oral cavity and submit them to the Berry.care AI tool for identification of Oral potentially malignant disorders. The total duration of the study is 1 year |
| Comparator Agent |
Remote evaluation by panel of clinical experts examining the images of the oral cavity captured by the Berry.care mobile app |
A panel of clinical experts comprising of 3 medical oncologists will review the images of the oral cavity from each patient and identify any oral potentially malignant disorders without accessing the AI based screening results. They will also have access to information of patient risk factor for oral cancer that is collected during the camp. They will not be attending the oral health camps and so will be performing screening remotely from the participants. The total duration of the study is 1 year. |
|
|
Inclusion Criteria
|
| Age From |
18.00 Year(s) |
| Age To |
99.00 Year(s) |
| Gender |
Both |
| Details |
Male and female participants from factory settings who attend dental camps for screening in Bangalore (Karnataka) and krishnagiri (Tamil Nadu) districts |
|
| ExclusionCriteria |
| Details |
1.Individuals with previously diagnosed and treated oral cancer will be excluded to focus on the effectiveness of the app in supporting screening processes for premalignant or early cancerous lesions.
2.Persons who fail the trismus test (unable to open their mouth sufficiently to insert 3 fingers), because appropriate images cannot be captured.
3.Persons with any major trauma / medical condition / major surgeries / facial nerve palsies/ deformity or any other condition affecting acquisition of images from the oral cavity
|
|
|
Method of Generating Random Sequence
|
Not Applicable |
|
Method of Concealment
|
Not Applicable |
|
Blinding/Masking
|
Not Applicable |
|
Primary Outcome
|
| Outcome |
TimePoints |
| Validity (sensitivity and specificity) of the Berry.care app in identifying oral potentially malignant disorders |
Individuals will undergo oral cancer screening once at the time of recruitment |
|
|
Secondary Outcome
|
| Outcome |
TimePoints |
| Usability of the berry.care app - metrics of user satisfaction, ease of use, and time on task as well as insights for design improvements to the berry.care app will be obtained from usability tests with end users |
Healthcare workers will perform usability tests on the berry.care app once at the time of recruitment. |
|
|
Target Sample Size
|
Total Sample Size="1500" Sample Size from India="1500"
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)
|
03/03/2025 |
| 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 Applicable |
| 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 - NO
|
|
Brief Summary
|
The proposed research aims to evaluate the effectiveness of an AI-based tool for early detection of oral cancer, specifically focusing on its use in both rural and urban healthcare settings. This research is driven by the urgent need for improved screening methods, particularly in under served regions, where late-stage oral cancer diagnosis is common due to limited access to healthcare facilities. The main objectives include validating the AI tool’s accuracy in detecting precancerous lesions and early signs of oral cancer using smartphone-captured images, assessing its feasibility for integration into existing healthcare systems, and determining its potential to enhance early detection rates. The importance of this work lies in its alignment with national health priorities, particularly the need to address rising cancer rates in India and expand access to effective, non-invasive diagnostic tools. The study’s outcomes will contribute to advancing affordable, scalable solutions for oral cancer screening in India. |