Automated detection of eye surface cancer developed
Researchers have developed a new automated non-invasive technique for diagnosing eye surface cancer, or ocular surface squamous neoplasia (OSSN).
The technique has the potential to reduce the need for biopsies, prevent therapy delays and make treatment far more effective for patients.
Reported in the clinical journal The Ocular Surface, the innovative method comprises the custom-building of an advanced imaging microscope in association with state-of-the-art computing and artificial intelligence operation. The result is an automated system that is able to successfully identify between diseased and non-diseased eye tissue, in real-time, through a simple scanning process.
“Clinical symptoms of OSSN are known to be variable and in early stages can be extremely hard to detect so patients may experience delays in treatment or be inaccurately diagnosed,” said Abbas Habibalahi, researcher at the ARC Centre of Excellence for Nanoscale BioPhotonics (CNBP) and lead scientist on the project.
“The early detection of OSSN is critical as it supports simple and more curative treatments such as topical therapies whereas advanced lesions may require eye surgery or even the removal of the eye, and also has the risk of mortality.”
What Mr Habibalahi and the research team have developed is a technological approach that utilises the power of both microscopy and cutting-edge machine learning.
“Our hi-tech system scans the natural light given off by specific cells of the eye, after being stimulated by safe levels of artificial light. Diseased cells have their own specific ‘light-wave’ signature which our specially designed computational algorithm is then able to identify providing a quick and efficient diagnosis,” Mr Habibalahi said.
In the reported research, tissue samples from 18 patients with OSSN were tested.
Diseased cells were successfully identified the in all 18 cases. A quick test using an automated system was all that was necessary to pick up early warning signs of OSSN.
A key benefit of the innovative setup is that the OSSN diagnosis foregoes the need for a biopsy approach.
“This benefits both the patient and the doctor. Biopsies of the eye can be traumatic and can also be costly and time intensive with samples needing to be sent to a laboratory for testing,” Mr Habibalahi said.
“We will be able to confirm the disease straight away through a simple eye scan with no biopsy required and appropriate action can be quickly progressed by the specialist.”
In addition to the early detection and non-invasive benefits, the innovative diagnostic technology is able to precisely map the location of abnormal tissue margins on the eye.
“This is highly desirable in a clinical setting,” Mr Habibalahi said.
“Accurate boundary delineation of OSSN means that curative treatments such as topical medications or surgery can be more accurately and effectively applied.”
The full report can be found at: https://www.sciencedirect.com/science/article/pii/S1542012418302842?via%3Dihub
Researchers involved in this project are affiliated with CNBP, Macquarie University, Douglass Hanly Moir Pathology, Personal Eyes Pty Ltd and UNSW Sydney. Mr Habibalahi was a CNBP PHD candidate at Macquarie University when the research was undertaken.
Published: 25 Mar 2019