| CTRI Number |
CTRI/2020/09/027986 [Registered on: 23/09/2020] Trial Registered Prospectively |
| Last Modified On: |
01/03/2021 |
| Post Graduate Thesis |
No |
| Type of Trial |
Observational |
|
Type of Study
|
ultrasound image collection |
| Study Design |
Other |
|
Public Title of Study
|
Collection of ultrasound images in early pregnancy and in women with a prescription for pelvic scan to build a software that will help the sonologist analyze automatically normal or abnormal ultrasound images in the early first trimester of pregnancy. |
|
Scientific Title of Study
|
Prospective ultrasound data collection of normal and abnormal obstetric and gynecological cases to develop an artificial intelligence algorithm |
| Trial Acronym |
NIL |
|
Secondary IDs if Any
|
| Secondary ID |
Identifier |
| ICBE-S-000017 |
Protocol Number |
|
|
Details of Principal Investigator or overall Trial Coordinator (multi-center study)
|
| Name |
Dr Devika Gunasheela |
| Designation |
Managing partner |
| Affiliation |
Gunasheela Surgical & Maternity Hospital |
| Address |
Gunasheela Surgical & Maternity Hospital
Gunasheela IVF Centre,
No. 1, Dewan Madhava Rao Road,
Opp. M. N. Krishna Rao Park, Basavanagudi,
Bangalore - 560004, India
Bangalore KARNATAKA 560004 India |
| Phone |
9964099475 |
| Fax |
|
| Email |
gunasheelaivf@gmail.com |
|
Details of Contact Person Scientific Query
|
| Name |
Pallavi Vajinepalli |
| Designation |
Principal scientist and team leader |
| Affiliation |
Philips India Ltd |
| Address |
Philips Innovation Campus
Manyata Tech Park, Nagavara, Bangalore – 560045, India
Bangalore KARNATAKA 560045 India |
| Phone |
9986375873 |
| Fax |
|
| Email |
pallavi.vajinepalli@philips.com |
|
Details of Contact Person Public Query
|
| Name |
Pallavi Vajinepalli |
| Designation |
Principal scientist and team leader |
| Affiliation |
Philips India Ltd |
| Address |
Philips Innovation Campus
Manyata Tech Park, Nagavara, Bangalore – 560045, India
KARNATAKA 560045 India |
| Phone |
9986375873 |
| Fax |
|
| Email |
pallavi.vajinepalli@philips.com |
|
|
Source of Monetary or Material Support
|
|
|
Primary Sponsor
|
| Name |
Philips India Ltd |
| Address |
Philips India Ltd, Philips Research Bangalore India,
Philips Innovation Campus
Manyata Tech Park, Nagavara, Bangalore – 560045, India
|
| Type of Sponsor |
Other [medical device company] |
|
|
Details of Secondary Sponsor
|
|
|
Countries of Recruitment
|
India |
Sites of Study
Modification(s)
|
| No of Sites = 2 |
| Name of Principal
Investigator |
Name of Site |
Site Address |
Phone/Fax/Email |
| Dr Devika Gunasheela |
Gunasheela Surgical & Maternity Hospital Gunasheela IVF Centre, |
Gunasheela Surgical & Maternity Hospital
Gunasheela IVF Centre,
No. 1, Dewan Madhava Rao Road,
Opp. M. N. Krishna Rao Park, Basavanagudi,
Bangalore - 560004, India
Bangalore KARNATAKA |
9964099475
gunasheelaivf@gmail.com |
| Dr Nitin G Chaubal |
Thane ultrasound centre |
Thane ultrasound centre, Shanti Niwas Dr Moose Road Talaopali Thane W, Thane, Maharashtra – 400601, India Thane MAHARASHTRA |
9619072238
thaneultrasound@gmail.com |
|
Details of Ethics Committee
Modification(s)
|
| No of Ethics Committees= 2 |
| Name of Committee |
Approval Status |
| Independent Ethics Committee IEC@IISS |
Approved |
| Institutional Ethics Committee (IEC) |
Approved |
|
|
Regulatory Clearance Status from DCGI
|
|
|
Health Condition / Problems Studied
|
| Health Type |
Condition |
| Healthy Human Volunteers |
• Female patients, aged 18 years or more, presenting for a routine or referred obstetric or a gynaecological ultrasound scan |
|
|
Intervention / Comparator Agent
|
|
|
Inclusion Criteria
|
| Age From |
18.00 Year(s) |
| Age To |
60.00 Year(s) |
| Gender |
Female |
| Details |
Inclusion criteria for subject selection
1.Female patients, aged 18 years or more, presenting for a routine or referred obstetric or a gynaecological ultrasound scan
2.For obstetric cases only:
a.An ultrasound gestational age between 5 to 10 weeks and 6 days of gestation for normal pregnancies
b.A gestational age inferior to 14 weeks for abnormal pregnancies (ectopic pregnancy, blighted ovum and other types of pregnancy loss, hydatiform mole, etc.)
c.Singleton pregnancy or multiple pregnancy
d.Normal pregnancy or abnormal pregnancy (abnormal early first trimester conditions such as ectopic pregnancy, blighted ovum and other types of pregnancy loss, hydatiform mole, etc.)
3.For gynaecologic cases only:
Subject presenting with a normal or abnormal pelvic scan
4.Subject willing and able to provide informed consent |
|
| ExclusionCriteria |
| Details |
1.Subject aged below 18 years.
2.For obstetric cases only:
a.Subject with a pregnancy younger than 5 and equal or older than 11 weeks for normal pregnancies.
b.Subject with a pregnancy superior to 14 weeks for abnormal pregnancies.
3.Subject presenting with fever or hemorrhagia or any condition that needs emergency care (as per investigator’s discretion).
4.Subject with neurological or psychiatric disorders or other disorders that affect the subject’s understanding of the information provided with the consent form.
5.IIliterate subjets and subjects unwilling or unable to provide informed consent.
|
|
|
Method of Generating Random Sequence
|
Not Applicable |
|
Method of Concealment
|
Not Applicable |
|
Blinding/Masking
|
Not Applicable |
|
Primary Outcome
|
| Outcome |
TimePoints |
This is a data collection study, there are no specific primary clinical outcome other than collecting the ultrasound data as per the clinical
Protocol. The primary endpoint of the study will be reached when
125 subjects with data validated by the Sponsor have been enrolled at each site.
|
31st May 2021 |
|
|
Secondary Outcome
|
|
|
Target Sample Size
|
Total Sample Size="250" Sample Size from India="250"
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)
|
28/09/2020 |
| 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
|
Not planned yet |
|
Individual Participant Data (IPD) Sharing Statement
|
Will individual participant data (IPD) be shared publicly (including data dictionaries)?
Response - NO
|
|
Brief Summary
|
This
study is a prospective data collection study.
The main objective of the study is to collect
2D, M-mode and 3D ultrasound imaging in the early first trimester pregnancies
(5 weeks to 10 weeks and 6 days) and in gynaecological subjects to check the
feasibility of automated detection and quantification in early normal and
abnormal pregnancies. In order to build clinically useful algorithms, the data
should represent a variety of situations that is found in current practice; the
dataset should hence contained at least the following:
· First
trimester pregnancies (normal and abnormal such as ectopic pregnancies)
· Surrounding
anatomical structures (such as ovaries, Fallopian tubes and Douglas cul-de-sac)
· Imaging
data with features that can be confused with early pregnancy (such as normal
and abnormal uterine findings in non-pregnant women)
· Images
acquired with different ultrasound modes: standard 2D view, M-mode (fetal heart
rate), 3D.
The
data collection study will be performed at Gunasheela Surgical and Maternity
Hospital, Gunasheela IVF centre, Bangalore (site 1) and Thane Ultrasound
centre, Mumbai (site 2), both are referral centres in India.
De-identified
2D, 3D ultrasound images and videos of 250 women presenting with: normal first trimester pregnancies
(180), abnormal first trimester pregnancies (30), normal (20) or abnormal (20)
pelvic scan will be shared with the sponsor (125 subjects total per site).
Data
collection will be done on the commercial registered ultrasound devices of the
centres (Philips Affiniti 50/70, Philips Epiq 5/7) and on a commercially
released ultrasound device from the sponsor (ClearVue 650/850). All devices
will be used within their intended use.
Study
will be registered in the CTRI website as per local regulations (India).
The variety and number of data/image sets needed
to build accurate machine learning algorithms is high and an amendment will be
proposed if the data sets do not meet the researchers’ requirement to build
accurate algorithms as decided by the researchers or after review of
algorithms’ results by clinicians/KOLs (interviews/focus group, etc… |