IMAGE: The set of detection signals collected for each patient was then analyzed using ML to examine the patient for PCa. Seventy-six urine samples were measured three times, generating 912 … views month
Credit: Korea Institute of Science and Technology (KIST)
Prostate cancer is one of the most common cancers among men. It is determined that patients have prostate cancer based primarily on * PSA, a blood cancer factor. However, because the diagnostic accuracy is as low as 30%, a considerable number of patients undergo an additional invasive biopsy and therefore suffer resulting side effects, such as bleeding and pain.
* Prostate Specific Antigen (PSA): A prostate specific antigen (a cancer factor) used as an index for prostate cancer screening.
The Korea Institute of Science and Technology (KIST) announced that the collaborative research team led by Dr. Kwan Hyi Lee of the Biomaterials Research Center and Professor In Gab Jeong of the Asan Medical Center developed a technique to diagnose prostate cancer in the urine in just twenty minutes. with almost 100% accuracy. The research team developed this technique by introducing an intelligent AI analysis method to an ultrasensitive biosensor based on electrical signal.
As a non-invasive method, a diagnostic test that uses urine is convenient for patients and does not require invasive biopsy, so cancer is diagnosed without side effects. However, because the concentration of cancer factors ** is low in urine, a urine-based biosensor has been used to classify risk groups instead of making an accurate diagnosis.
** Cancer Factor: A cancer-related biological index that can objectively measure and evaluate the reactivity of drugs for a normal biological process, disease progression, and a method of treatment.
The team of Dr. Lee at KIST has been working to develop a technique for diagnosing urinary tract disease using the ultrasensitive biosensor based on electrical signal. An approach that uses a single cancer factor associated with a cancer diagnosis was limited to increasing the accuracy of the diagnosis to more than 90%. However, to overcome this limitation, the team simultaneously used different types of cancer factors instead of using a single one to improve diagnostic accuracy in innovative ways.
The team developed a system of ultrasensitive semiconductor sensors capable of simultaneously measuring traces of four selected cancer factors in the urine to diagnose prostate cancer. They trained AI by correlating the four cancer factors, which were obtained from the developed sensor. The trained AI algorithm was then used to identify those with prostate cancer by analyzing complex patterns of the detected signals. Prostate cancer diagnosis by AI analysis successfully detects 76 urinary samples with almost 100% accuracy.
“For patients who need surgery and / or treatments, cancer will be diagnosed with high accuracy using urine to minimize biopsy and unnecessary treatments, which can drastically reduce medical costs and fatigue of medical staff,” he said. Professor Jeong of Asan Medical Center. “This research has developed an intelligent biosensor that can quickly diagnose prostate cancer with almost 100% accuracy with just one urine test, and can be used even more in accurate diagnoses of other cancers with a test urine, ”said Dr. Read to KIST. .
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This research was supported by the scholarship program for researchers from the National Research Foundation of Korea, government departments (the Ministry of Science and ICT, the Ministry of Trade and Industry, the Ministry of Health and Welfare, and the Ministry of Food and Drug Security), and Korea Medical Device Development Fund, funded by the Ministry of Science and ICT (MSIT). The results of the research have been published in the latest issue of ACS Nano, a leading international academic journal in the nano field.
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