LATEST UPDATES » Vol 24, No. 09, September 2020 – 3D Technology: Additive Manufacturing Applications and Prospects       » Results of CD30 CAR-T Cell Therapy Trial Shows Promise for Hodgkin Lymphoma Patients       » Emerging Technologies and Innovations amid a Global Pandemic       » Monitoring COVID-19 Patients with AI-powered Platform       » Singapore Researchers Devise a Rapid COVID-19 Test Kit for the Detection of Neutralising Antibodies (NAbs) Against SARS-CoV-2       » Novel Ventilator Conceptualized by Singapore Clinicians Provides Efficient and Personalized Breathing Support for COVID-19 patients      
Vol 23, No. 11, November 2019   |   Issue PDF view/purchase
Improving radiotherapy treatment for nose cancer with artificial intelligence
The result of a collaborative effort between scientists from the National Cancer Centre Singapore (NCCS) and Sun Yat-sen University Cancer Centre (SYSUCC).

The artificial intelligence (AI) tool aims to reduce inter-physician biases and inaccuracies that can affect the control of and treatment planning of nose cancer.

Nasopharyngeal carcinoma (NPC) or more commonly known as nose cancer, is the eighth most common cancer amongst Singaporean men affecting predominantly the Chinese community. There are about 150 to 200 new NPC cases a year at the NCCS. Treatment of NPC is primarily through radiotherapy due to its sensitivity.

Prior to radiotherapy treatment, oncologists will have to outline the tumour on diagnostic images from MRI or CT scans. This process of tumour contouring is particularly important in radiotherapy treatment planning. Precise outlining of the tumour will help radiation oncologists calculate the radiation dose in the designated area, to ensure eradication of the tumour and avoid side effects from the toxicities of the treatment.

“It has been shown that a good quality radiation plan can actually influence 10% of survival in head and neck cancer.” Said Dr. Melvin Chua, senior consultant radiation oncologist at NCCS.

Currently, this process is done manually by the treating physician which can result in variation in recognition of anatomy and abnormalities between radiation oncologists. This manual process is also time-consuming and labour intensive as it entails a thorough review and comparison of the tumour on multiple diagnostic images.

In a prospective evaluation of the AI tool, the study found that AI outperforms five out of eight radiation oncologists in terms of accuracy. It also reduced inter-physician variation in tumour contouring by 50% and cut contouring time by 50% compared to manual contouring. Manual contouring time was 30 minutes compared to 18 minutes with AI assistance.

The AI system imports and draws the entire tumour target and automatically transposes the image to the CT scan. The AI tool is also able to compute a tumour that has spread to other regions.

The tool is now being implemented for use in NCCS and several centres internationally as phase 2 of this project aims to investigate the transferability of this AI tool that was developed based on a single large dataset.

news PharmaSources Launches the Export-Driven Event CPhI & P-MEC China E-Trade Season
news PharmaSources.com to Help Propel the Chinese API Export Business with E-Trade Session CPhI China Top API Exporters & Products
news Singapore Biomedical Company Appointed as a Certified Service Provider by 10x Genomics
news Proteona Honoured with "one to watch" Prize in the Inaugural Spinoff Prize by Nature Research and Merck Grou

About Us
Available issues
Editorial Board
Letters to Editor
Contribute to APBN
Advertise with Us
World Scientific Publishing Co. Pte. Ltd.
5 Toh Tuck Link, Singapore 596224
Tel: 65-6466-5775
Fax: 65-6467-7667
» For Editorial Enquiries:
   biotech_edit@wspc.com or Ms Deborah Seah
» For Subscriptions, Advertisements &
   Media Partnerships Enquiries:
Copyright© 2020 World Scientific Publishing Co Pte Ltd  •  Privacy Policy