CTRI Number |
CTRI/2019/12/022368 [Registered on: 13/12/2019] Trial Registered Prospectively |
Last Modified On: |
12/12/2019 |
Post Graduate Thesis |
No |
Type of Trial |
Interventional |
Type of Study
|
Medical Device Preventive Screening |
Study Design |
Single Arm Study |
Public Title of Study
|
Comparative performance evaluation of Artificial Intelligence (AI) based visual
inspection test (AI_VIA) with Primary Health Worker administered VIA (PHW_VIA), HPV
DNA test and cervical cytology to detect cervical pre-cancer lesions. |
Scientific Title of Study
|
Comparative performance evaluation of Artificial Intelligence (AI) based visual
inspection test (AI_VIA) with Primary Health Worker administered VIA (PHW_VIA), HPV
DNA test and cervical cytology to detect cervical pre-cancer lesions. |
Trial Acronym |
AI_VIA |
Secondary IDs if Any
|
Secondary ID |
Identifier |
NIL |
NIL |
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
Name |
Dr Sharmila Pimple |
Designation |
Professor and Physician |
Affiliation |
Tata Memorial Hospital |
Address |
Department of Preventive oncology
3rd floor Service block
Tata Memorial Hospital
Dr Ernest Borges road
Parel Mumbai
Mumbai MAHARASHTRA 400012 India |
Phone |
9223207939 |
Fax |
|
Email |
drsharmilapatil@yahoo.com |
|
Details of Contact Person Scientific Query
|
Name |
Dr Sharmila Pimple |
Designation |
Professor and Physician |
Affiliation |
Tata Memorial Hospital |
Address |
Department of Preventive oncology
3rd floor Service block
Tata Memorial Hospital
Dr Ernest Borges road
Parel Mumbai
Mumbai MAHARASHTRA 400012 India |
Phone |
9223207939 |
Fax |
|
Email |
drsharmilapatil@yahoo.com |
|
Details of Contact Person Public Query
|
Name |
Dr Sharmila Pimple |
Designation |
Professor and Physician |
Affiliation |
Tata Memorial Hospital |
Address |
Department of Preventive oncology
3rd floor Service block
Tata Memorial Hospital
Dr Ernest Borges road
Parel Mumbai
Mumbai MAHARASHTRA 400012 India |
Phone |
9223207939 |
Fax |
|
Email |
drsharmilapatil@yahoo.com |
|
Source of Monetary or Material Support
|
Periwinkle Technologies Pvt Ltd |
|
Primary Sponsor
|
Name |
Periwinkle Technologies Pvt Ltd |
Address |
Venture Center, 100, Ncl Innovation Park, Dr. Homi Bhabha Road, Pashan, Pune, Maharashtra 411008 |
Type of Sponsor |
Other [Medical Technology Company ] |
|
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 Sharmila Pimple |
Tata Memorial Hospital |
Department of Preventive oncology, 3rd floor, Service block, Tata Memorial Hospital, Dr Ernest Borges road, Parel 400012
Mumbai MAHARASHTRA |
9223207939
pimplesa@tmc.gov.in |
|
Details of Ethics Committee
|
No of Ethics Committees= 1 |
Name of Committee |
Approval Status |
Tata Memorial Centre, Institutional Review Board, Independent Ethics Committee |
Approved |
|
Regulatory Clearance Status from DCGI
|
Status |
No Objection Certificate |
|
Health Condition / Problems Studied
|
Health Type |
Condition |
Healthy Human Volunteers |
screening of women aged 30 to 60 years for cervical cancer |
|
Intervention / Comparator Agent
|
Type |
Name |
Details |
Intervention |
ARTIFICIAL INTELLIGENCE (AI) FOR VIA IN CERVICAL CANCERSCREENING |
The Machine Learning trained & internally validated AI_VIA test software model , that
uses Machine Learning computer algorithm techniques using 1,00,000+ images, installed
on a platform of a image capture camera device that can analyze digital images of
uterine cervix , for more objective interpretation to identify precancerous changes.
The Auto-assessment feature of this ML model will classify ecto-cervix into 3 categories
which will be color coded and displayed on the screen of tablet as follows:
(1) Normal Cervix as Green
(2) Abnormal but Benign changes on the cervix as Amber
(3) Pre-cancerous & cancerous changes on the cervix as Red
Images captured will be interpreted with the help of AI based Machine Learning Model
(ML-Model) according to above categories
This artificial intelligence (AI) AI_VIA approach, called automated visual evaluation, has
the potential to be of particular value in settings with limited access for triage and
confirmation of the diagnosis for further treatment. |
Comparator Agent |
Colposcopy |
Colposcopy will be performed by trained doctors and public health workers. The colposcopist will perform an
independent manual assessment aided by a standard colposcope, and the colposcopy
impression will be noted as per the SWEDE score standardized criteria.
|
|
Inclusion Criteria
|
Age From |
30.00 Year(s) |
Age To |
60.00 Year(s) |
Gender |
Female |
Details |
1. Sexually active women aged 30–60 years
2. Non Pregnant
3. No history of prior treatment for
cancer of the cervix
4. No history of hysterectomy
5. Healthy enough to undergo pelvic
examination i.e. not seriously ill with
any debilitating condition
|
|
ExclusionCriteria |
Details |
1. Women with a known diagnosis of cancer, any other terminal diagnosis
2. Not willing to undergo cervical cancer screening
|
|
Method of Generating Random Sequence
|
Not Applicable |
Method of Concealment
|
Not Applicable |
Blinding/Masking
|
Not Applicable |
Primary Outcome
|
Outcome |
TimePoints |
The study will demonstrate the proof-of-principle of an “automated visual evaluation†algorithm applied to archived, digitized cervical images for detection of cervical pre cancer lesions |
12 months |
|
Secondary Outcome
|
Outcome |
TimePoints |
1. Assessment of PHW_VIA 2. Assessment of HPV_DNA test
3. Assessment of cervical cytology
4. Colposcopic assessment to detect test positive cases (CIN lesions )
5. Histopathology outcome
|
1. Immediately after PHW-VIA test 2. Fifteen (15) days after sampling for HPV DNA test 3. Four (4) days after sampling for cervical cytology 4. On same day followed by PHW-VIA test , immediately after colposcopy test 5. Eight to ten ( 8 to 10) days after biopsy |
|
Target Sample Size
|
Total Sample Size="600" Sample Size from India="600"
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)
|
23/12/2019 |
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
|
Peer reviewed journals
Conference presentations
Internal Reports |
Individual Participant Data (IPD) Sharing Statement
|
Will individual participant data (IPD) be shared publicly (including data dictionaries)?
|
Brief Summary
|
In this study, we aim to evaluate the feasibility and clinical performance of Artificial Intelligence (AI) based visual inspection test (AI_VIA) of a trained Machine Learning Camera model to perform AI based VIA Test with that of the conventional VIA performed by trained Primary Health Care workers (PHW_VIA), and other current evidence based primary screening tests of HPV DNA and conventional cytology. The study will demonstrate the proof-of-principle of an “automated visual evaluation†algorithm applied to archived, digitized cervical images for detection of cervical pre cancer lesions. Objective : Comparative evaluation of AI_VIA, HW_VIA, Cervical cytology, and HPV DNA [Hybrid Capture 2 (HC2) test] for detection of cervical intraepithelial neoplasia grades 2 and above (CIN2+). Study Design: Cross – Sectional Study. Inclusion criteria: 1. Sexually active women aged 30–60 years 2. Non Pregnant 3. No history of prior treatment for cancer of the cervix 4. No history of hysterectomy 5. Healthy enough to undergo pelvic examination i.e. not seriously ill with any debilitating condition Exclusion criteria: 1. Women with a known diagnosis of cancer, any other terminal diagnosis 2. Not willing to undergo cervical cancer screening Sample Size: Sample size for estimating sensitivity and specificity with the 95% confidence level, a total sample size of 600 (which includes 36 subjects with the disease: cervical intraepithelial neoplasia ) to test for non inferiority of the new device using a two-sided binomial test. The prevalence of the disease at 1.6 % Duration of the study: 12 months
The study participants will be recruited from hospital and community based screening programmes in and around Mumbai India. Trained Medical Social workers will explain the details and the purpose of the study to participants attending the screening clinic. Apparently healthy women in the age group of 30-60 yrs with an intact uterus and no past history of cervical neoplasia will become eligible to participate in the programme. If they are fulfilling the inclusion criteria given above, a written informed consent in the vernacular language (either Hindi or Marathi) will be obtained from the participant and a unique participant identification number will be assigned to the eligible women. They will be enrolled after explaining the study and obtaining written informed consent. All the participants will be interviewed with the help of validated closed ended structured questionnaire will be interviewed to record their basic socio- demographic, personal, medical, reproductive, family planning history. Information will be collected by personal interview and documented as per the details indicated in data collection sheet.
Informed Consenting Process : Medical social worker will explain the study to the eligible participants and invite them to participants in the trial. A written informed consent will be obtained through signature/thumbprint. All the participants who are invited to participate will be given a participant’s information sheet, explaining the study in detail in simple vernacular language. They will be given time to go through it and come back with queries if any. The participants who are willing to participate will then sign the written informed consent form. Left hand thumb impression will be obtained from participants who are not able to sign. Another literate person will be invited to witness the procedure of consent administration and will sign as an impartial witness. The informed consent will clearly describe the purpose, objectives and the process of the study, potential use of the data and how it will be disseminated. Participants will be made aware of their right to refuse to participate. They will be made to understand the confidentiality that will be maintained in the study. Sufficient time will be given to each participant to think upon thereafter. Any doubts that arise out of the information sheet will be completely allayed and no pressure or coercion will be used for their participation.
Post Test Counseling : At the end of all testing procedures post test counseling will be done by the Doctor and Medical Social Worker to explain the significance and the results of the testing procedures performed. The importance of follow up visit to understand the results of screening tests , colposcopy and/ or cervical biopsy will be explained to the women
Treatment: Women with High grade Cervical Intraepithelial Lesion (CIN2) and above lesion will be recommended to seek treatment with cryotherapy or LEEP (Loop Electrosurgical Excision Procedure) or by cold knife conization as per the established protocols for treatment of cervical pre cancers at the Tata Memorial Centre, Mumbai. Women with Invasive Cancers will be referred to further treatment at the Tata Memorial Centre.
Confidentiality and privacy of the participant’s information: The investigators will maintain the confidentiality of the participants in the research project. The names of the study participants will be kept separate from the data / information collected from them by assigning a number to identify research subjects on the questionnaire. The identifying information will be kept in a locked cabinet. The confidentiality and privacy of the participant’s responses would be maintained as per the norms of the Ethics committee. The investigators and personnel involved in the study would be responsible for this. The information collected will not be used by the investigator or other personnel for any purpose other than conducting the study.
BENEFITS: ï‚·Objective assessment feature will remove the subjectivity of the VIA test reporting performed by primary care workers and also the dependency on trained manpower at primary health centers for performing VIA. ï‚· Decrease the reliance on repeated training and Quality Control measures required for conventional VIA Training ï‚· AI_VIA can offer Point of care Triage test in the absence of resources for confirmation of diagnosis such as Colposcopy / Biopsy
Safety and risks to human subjects: Not Applicable
CONFLICT OF INTEREST: No conflict of interest in any form
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