AI and Multispectral Photoacoustic Imaging to Diagnose Thyroid Cancer
Researchers at Pohang University of Science & Technology in South Korea are reporting on having developed a technique for minimally invasive diagnosis of thyroid cancer. The method combines multispectral photoacoustic imaging and machine learning, and is conceived as a replacement for invasive and occasionally inaccurate fine-needle aspiration biopsies. The new technique involves analyzing the unique photoacoustic signatures of malignant thyroid nodules and then training the system to recognize them.
The vast majority of thyroid nodules are benign, but as 5-10% are not, it is advisable to get them checked out. At present, clinicians use a fine needle to obtain a biopsy from the nodule. This is invasive, and in approximately 20% of cases will need to be repeated, as the results are unreliable.
As an alternative, these researchers have developed a non-invasive technique, based on the photoacoustic effect, where light absorbed by a sample produces sound waves. The researchers developed their system on the premise that the oxygen saturation in malignant thyroid nodules is lower than that in benign nodules, and that photoacoustic imaging could help to detect these differences non-invasively.
In practice, this would mean illuminating a patient’s thyroid nodule using a laser and then recording the resulting ultrasound signal. The researchers analyzed such data from patients with malignant and benign thyroid nodules using machine learning. This led them to be able to train their system to identify the malignant nodules.
So far, they have been able to detect malignant nodules with a reasonable level of accuracy, with a reported sensitivity of 83% and a specificity of 93% when the machine learning approach is combined with conventional ultrasound assessments.
“This study is significant in that it is the first to acquire photoacoustic images of thyroid nodules and classify malignant nodules using machine learning,” said Chulhong Kim, a researcher involved in the study, in a Pohang press release. “In addition to minimizing unnecessary biopsies in thyroid cancer patients, this technique can also be applied to a variety of other cancers, including breast cancer.”
“The ultrasonic device based on photoacoustic imaging will be helpful in effectively diagnosing thyroid cancer commonly found during health checkups and in reducing the number of biopsies,” added Dong-Jun Lim, another researcher involved in the project. “It can be developed into a medical device that can be readily used on thyroid nodule patients.”
Study in journal Cancer Research: Multiparametric Photoacoustic Analysis of Human Thyroid Cancers In Vivo
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