Melanoma Cancer Diagnostics Market to Develop Rapidly by 2028

Rockville Pike, United States, 2019-Sep-06 — /EPR Network/ —

Key Insights – Melanoma Cancer Diagnostics

Adoption of Artificial Intelligence (AI) for Melanoma Cancer Diagnosis Growing

The adoption of Artificial Intelligence (AI), combined with large image database, is showing promising results in distinguishing malignant from benign moles and other non-cancerous skin conditions.

Researchers in the US, Germany, and France recently conducted a study using artificial intelligence known as deep learning Convolutional Neural Network (CNN). Researchers compared the performance with 58 international dermatologists and found that CNN missed very few melanomas and misdiagnosed benign moles less often than dermatologists. Along with performing image analysis, the network is capable of teaching itself to improve its performance by using a machine learning process.

The process that CNN used in the research is based on an algorithm developed by Google which allows AI to differentiate between thousands of different objects. However, according to some experts, more work and research is necessary to realize the full potential of this technology for skin cancer diagnosis.

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Non-Invasive Techniques Show Promising Results in Skin Cancer Diagnostics

Non-invasive skin cancer diagnostics methods are being used on a large scale for skin cancer diagnosis. Although biopsy is considered to be the best way for skin cancer diagnosis, it is leading to a number of complications including infection, scarring, and bleeding. Hence, researchers are focusing on developing less invasive or non-invasive methods for skin cancer diagnosis.

For instance, Pigmented Lesion Assay (PLA) test by DermTech uses sticky adhesive patch to collect skill cells from lesion to diagnose melanoma and clinical trials found that PLA has high sensitivity and very low probability of missing melanoma. Meanwhile, ongoing technological advancements in optical imaging techniques is also resulting in development of new tools in diagnosis and treatment of skin cancer.

As a part of non-invasive medical devices and techniques, researchers are focusing on techniques of dermoscopy and advanced non-invasive imaging techniques including optical coherence tomography and reflectance confocal microscopy. Meta-analysis performed in clinical settings demonstrated that dermoscopy has improved diagnostic accuracy of pigmented and non-pigmented lesions. In the near future, physicians would be able to recognize tumor patterns using dermoscopy technique.

Reflectance confocal microscopy that enables real-time examination of skin tumors has been proven as an excellent method for evaluating melanocytic lesions. Using reflectance confocal microscopy, dermatologist may be able to avoid biopsy of benign tumor. Researchers have also developed Speckle-Variance optical coherence tomography (SV-OCT) capable of detecting vascular changes taking place in melanocytic lesions.

Increasing Incidences of Skin Cancer Driving Demand for Melanoma Cancer Diagnostics

According to the World Health Organization (WHO), around 132,000 melanoma skin cancers occur worldwide every year. It is also estimated that about 10% decrease in ozone levels is likely to result in 4,500 melanoma skin cancer cases. There were nearly 300,000 new melanoma of skin cases in 2018, as per the American Institute of Cancer Research.

With the number of skin cancer cases going up in the past few years, focus on providing early detection and diagnosis is increasing. Melanoma cancer is on a rise owing to the changing environmental conditions and increasing exposure to UV rays. This is driving the demand for rapid diagnostics for early detection of melanoma cancer.

Along with the US, UK is also witnessing a rise in melanoma skin cancer, with around 15,400 new melanoma cancer cases in the UK each year, as per the Cancer Research UK. Two-week wait is the most common way of diagnosing melanoma cancer in the UK. The most common biopsy procedures used in diagnosing melanoma are excisional biopsy, punch biopsy, and incisional biopsy. However, non-invasive test to diagnose melanoma is also gaining popularity across various countries.

Absence of Accurate Diagnostic Methods to Remain Key Challenge

With rise in cases of melanoma skin cancer across various regions, researchers and scientists are focusing on developing more precise methods of diagnosis along with cost-effectiveness. According to the Agency of Healthcare Research and Quality, cancer is one of the most expensive conditions to treat in the US. Moreover, insurance providers with cost sharing measures are also shifting a huge portion of the medical cost to patients. This has resulted in more out-of-pocket cost for diagnosis and treatment of skin and other types of cancer.

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Diagnostic accuracy for melanoma varies significantly with potential financial implications. With advanced diagnostics technologies, the cost of diagnostic procedures, screening, treatment, and medical follow-up is also increasing. According to the study published in the American Journal of Preventive Medicine, in 2007-2011, the average annual cost for skin cancer increased by 126%. Economic burden of skin cancer treatment is significantly increasing with a substantial increase in cost in diagnostics and treatment for melanoma.