Literature DB >> 29316293

Estimating radiotherapy demands in South East Asia countries in 2025 and 2035 using evidence-based optimal radiotherapy fractions.

Noorazrul Yahya1, Nurhaziqah Roslan1.   

Abstract

BACKGROUND AND
PURPOSE: As about 50% of cancer patients may require radiotherapy, the demand of radiotherapy as the main treatment to treat cancer is likely to rise due to rising cancer incidence. This study aims to quantify the radiotherapy demand in countries in Southeast Asia (SEA) in 2025 and 2035 using evidence-based optimal radiotherapy fractions.
MATERIALS AND METHODS: SEA country-specific cancer incidence by tumor site for 2015, 2025 and 2035 was extracted from the GLOBOCAN database. We utilized the optimal radiotherapy utilization rate model by Wong et al. (2016) to calculate the optimal number of fractions for all tumor sites in each SEA country. The available machines (LINAC & Co-60) were extracted from the IAEA's Directory of Radiotherapy Centres (DIRAC) from which the number of available fractions was calculated.
RESULTS: The incidence of cancers in SEA countries are expected to be 1.1 mil cases (2025) and 1.4 mil (2035) compared to 0.9 mil (2015). The number of radiotherapy fractions needed in 2025 and 2035 are 11.1 and 14.1 mil, respectively, compared to 7.6 mil in 2015. In 2015, the radiotherapy fulfillment rate (RFR; required fractions/available fractions) varied between countries with Brunei, Singapore and Malaysia are highest (RFR > 1.0 - available fractions > required fractions), whereas Cambodia, Indonesia, Laos, Myanmar, Philippines, Timor-Leste and Vietnam have RFR < 0.5. RFR is correlated to GDP per capita (ρ = 0.73, P = 0.01). To allow RFR ≥1 in 2025 and 2035, another 866 and 1177 machines are required, respectively. The number are lower if longer running hours are implemented.
CONCLUSION: With the optimal number of radiotherapy fractions, estimation for number of machines required can be obtained which will guide acquisition of machines in SEA countries. RFR is low with access varied based on the economic status.
© 2018 John Wiley & Sons Australia, Ltd.

Entities:  

Keywords:  optimal utilization; radiotherapy; radiotherapy demand; radiotherapy equipment

Mesh:

Year:  2018        PMID: 29316293     DOI: 10.1111/ajco.12831

Source DB:  PubMed          Journal:  Asia Pac J Clin Oncol        ISSN: 1743-7555            Impact factor:   2.601


  4 in total

1.  Neurocognitive impairment following proton therapy for paediatric brain tumour: a systematic review of post-therapy assessments.

Authors:  Noorazrul Yahya; Hanani Abdul Manan
Journal:  Support Care Cancer       Date:  2020-10-11       Impact factor: 3.603

2.  How many roads must a Malaysian walk down? Mapping the accessibility of radiotherapy facilities in Malaysia.

Authors:  Noorazrul Yahya; Nur Khalis Sukiman; Nani Adilah Suhaimi; Nor Aniza Azmi; Hanani A Manan
Journal:  PLoS One       Date:  2019-03-21       Impact factor: 3.240

3.  The Styryl Benzoic Acid Derivative DC10 Potentiates Radiotherapy by Targeting the xCT-Glutathione Axis.

Authors:  Shahin Sarowar; Davide Cirillo; Pablo Játiva; Mette Hartmark Nilsen; Sarah-Muheha Anni Otragane; Jan Heggdal; Frode Selheim; Valentín Ceña; Hans-René Bjørsvik; Per Øyvind Enger
Journal:  Front Oncol       Date:  2022-02-07       Impact factor: 6.244

4.  Strategies to Maximize Available Resources With Minimum Cost Escalation for Improving Radiation Therapy Accessibility in the Post-Coronavirus Disease 2019 Era: An Analysis for Asia.

Authors:  Niloy R Datta; Sneha Datta; Massoud Samiei
Journal:  Adv Radiat Oncol       Date:  2020-09-24
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.