Development of clinically high efficient platforms for individualised treatment of cervix cancer
- Conditions
- Malignant neoplasm of cervix uteri, unspecified,
- Registration Number
- CTRI/2021/08/035810
- Lead Sponsor
- Science and Engineering Research Board SERB
- Brief Summary
Cervical cancer is the second most common cancer in India. Every year, around 80,000-90,000 women bear the burden of cervical cancer. In recent years, the use of advanced external radiation and brachytherapy techniques have improved the condition of the patients and their overall survival rates. This study proposal is an initiative with International collaborators to develop a robust model of efficient treatment delivery. In order to achieve this goal, we are making a move to integrate the knowledge of advanced technology, existing radiation treatment information, quantitative imaging, and available datasets from completed and ongoing clinical studies so that women diagnosed with Cervical cancer can be provided with highly precise treatment in a time-efficient manner. It is a retrospective study that will use existing database to develop automation and prediction tools.
**Study Aims**
1. To develop and validate automated platforms for target delineation and planning for cervix cancer in time-efficient manner through
a. Machine learning-based detection of abnormal cancerous tissues in multimodality medical diagnostic images.
b. To train machine base systems for automated planning of external radiation and brachytherapy for gynaecological cancers.
2. To use existing databases and radiation dose maps, imaging texture features and adverse events data for machine learning to develop “normal tissue complication plots “and to identify cervix cancer patient subgroups that may benefit from advanced radiation techniques (like proton treatment)
3. To use advanced image texture analysis within ongoing institutional and collaborative clinical trials to identify “high-risk patient population†that may benefit from intensification of treatment in the future.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- Not Yet Recruiting
- Sex
- Female
- Target Recruitment
- 1800
- Patients treated within ongoing and completed clinical trials of chemoradiation and brachytherapy for cervix cancer with access to MRI/CT images at the time of diagnosis and brachytherapy.
- Patients undergoing postoperative or definitive radiotherapy and treated within trials of postoperative or definitive RT.
- Lack of disease or toxicity outcomes.
- Lack of images in the hospital database.
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method a) Generation of software for automated target delineation for cervix cancer. 3 Years b) Development and validation of Normal Tissue Complication Plots. 3 Years c) Identify “high risk patient population†that may benefit from intensification of treatment in future. 3 Years
- Secondary Outcome Measures
Name Time Method
Trial Locations
- Locations (1)
Advanced Centre for Treatment, Researc and Tata Memorial Hospital, Tata Memorial Centre
🇮🇳Raigarh, MAHARASHTRA, India
Advanced Centre for Treatment, Researc and Tata Memorial Hospital, Tata Memorial Centre🇮🇳Raigarh, MAHARASHTRA, IndiaDr Supriya Chopra SastriPrincipal investigator9930958309supriyasastri@gmail.com