Researchers from Singapore’s Agency for Science, Technology and Research (ASTAR) and the National Healthcare Group (NHG) have unveiled a groundbreaking imaging technique that could revolutionise the diagnosis and treatment of basal cell carcinoma (BCC), the most prevalent form of skin cancer globally. By integrating Multispectral Optoacoustic Tomography (MSOT) with artificial intelligence (AI), this innovative method promises faster, more accurate, and less painful treatment planning for patients.
The advanced technique utilises photoacoustic imaging (PAI) enhanced by an automated segmentation algorithm to deliver real-time, high-resolution three-dimensional (3D) images of skin tumours. This allows for precise mapping of tumour boundaries, aiding doctors in surgical planning and reducing the likelihood of repeat procedures. The findings have been published in the European Journal of Nuclear Medicine and Molecular Imaging.
BCC is increasingly common in Singapore, particularly among the ageing population. Traditional diagnostic methods, such as biopsies and Mohs micrographic surgery, can be uncomfortable and time-consuming. The new approach, developed by ASTAR Skin Research Labs and NHG’s National Skin Centre (NSC), combines an advanced segmentation algorithm with PAI to automatically identify the shape and size of skin tumours, expediting the diagnostic process.
The technology, currently being tested at NSC, has shown promising early results. Eight patients participated in a pilot study where MSOT scans closely matched existing diagnostic methods. Prof Malini Olivo, a co-author of the study, stated, “Early results have been very promising, showing strong alignment with existing diagnostic methods.”
Whilst the current focus is on BCC, researchers believe the technology could be adapted for other skin cancer types. Prof Steven Thng, Deputy Director at NSC, expressed excitement about the potential to individualise surgery, reducing mortality and morbidity for patients.
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