Tissue Imaging for Diagnostics and Oncology Disease Research Applications

04 Mar 2021

Tissue Imaging, a prominent aspect of the cancer clinical protocols, provides morphological, metabolic, structural, and functional information. It is utilized to screen, diagnose, and stage cancer, monitor cancer treatments, establish cancer therapy’s effectiveness and monitor cancer recurrence.  The integration of oncology medical imaging with other clinical tools, such as biomarker tests, in-vitro tissue analysis, and cancer screening, enhances decision-making.

 Recently, in March 2021, a team at the Institute of Cancer Research, London is working on launching a new variety of ultrasound scans as a potential guide to help during brain tumor surgery and help improve the overall patient outcome. The scan can especially guide during invasive brain surgeries as it can detect lingering tissue.

Quick detection through screening based on imaging is the major contributor to a decrease in the number of deaths caused by specific cancer types. The use of immunohistochemistry to molecular genomics, image analyzer and AI, proteomics, cell-free   DNA, advances in next-generation sequencing are a few of the technological advancements that seem promising. Moreover, the use of digital pathology aids clinicians in the identification of new histological areas.

A medical technology-driven company, Perimeter Medical Imaging AI company is set to transform the arena of cancer surgery with its ultra-high-resolution, real-time, and advanced imaging tools. Considering this, its Optical Coherence Tomography (OCT) Imaging System (v2.1) has received clearance from the U.S. Food and Drug Administration (USFDA).

According to the market intelligence published by BIS Research, the global tissue imaging market is expected to reach $37.44 in 2030 from $14.42 billion in 2019. The growth can be attributed to factors such as the rising incidence of health conditions and disorders inciting the use of tissue imaging, integration of digital technology with imaging technologies, the pertinent role of early diagnosis in the detection of chronic ailments using modern imaging techniques, and the shifting focus toward value-oriented healthcare model.

Also, several opportunities can further push the tissue imaging market forward. Some of the opportunities include adopting artificial intelligence and analytics in diagnostic imaging, strong growth potential in innovative novel technologies (spatial transcriptomics technology), and strategic collaborations to bolster innovation and market dominance.

The applications for tissue imaging include disease research and diagnostics. The disease research category further has bifurcations under oncology, cardiology, neurology, cardiology, immunology, infectious, and other disease research. Diseases covered under oncology disease research include breast, lung, colorectal, liver, prostate, and different cancer research studies. 

 
 

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