Radiology and Oncology 2022

The growing adoption of automation and technological advancements in oncology are expected to drive the growth of the oncology market. The improved results of cancer tests provided by advanced technologies are significantly boosting market growth. A good example of technologically advanced and user-friendly diagnostics is liquid-based cytology.  Furthermore, rising cancer cases globally due to factors such as rising tobacco consumption, rising smoking prevalence, and substance abuse are significantly driving the growth of the global oncology market. The increasing penetration of smart hospitals and the growing popularity of telehealth platforms around the world are expected to increase demand for oncology in the coming years. Government initiatives to increase telehealth adoption, such as changes to reimbursement policies for services received from telehealth platforms, are expected to play an important role in market growth in the near future.

Radiotherapy can be used either in the early stages of cancer or after it has spread. It can be used to try to completely cure cancer or to make other treatments more effective, such as when combined with chemotherapy or used before surgery. reduce the likelihood of the cancer returning after surgery alleviate symptoms if a cure is not possible Radiotherapy is widely regarded as the most effective cancer treatment after surgery, but its effectiveness varies from person to person. Types of radiotherapy: Radiotherapy can be administered in a variety of ways. Your doctors will advise you on the best type for you. External radiotherapy, in which a machine is used to precisely aim radiation beams at the cancer radiotherapy implants, in which small pieces of radioactive metal are placed inside your body near the cancer radiotherapy injections, capsules, or drinks, in which you swallow a radioactive liquid or have it injected into your blood intrabeam radiotherapy, in which radiation is de...

Radiology , the use of imaging modalities and processes to image the human body for diagnostic and treatment purposes, has traditionally been at the forefront of implementing the most recent technological advances. We have witnessed an incredible evolution in CT and MR imaging technology over the last decade, which has been complemented by a recent transformation through artificial intelligence (AI)-based software, which has expanded the horizon of image quality and diagnostic efficiency. Several limitations constrain current CT technology, including a trade-off between ionising radiation dose and image quality. Artefacts such as image noise and distortions increase as dose is reduced, worsening CT's already poor ability to distinguish between healthy and pathologic tissues .

While many cancers are diagnosed when they are curable, a few patients will experience recurrence at a distant site during their lifetime. This is due to the fact that after cancer treatment, any remaining cancer cells in the body can become active and begin to multiply, resulting in a relapse of the disease. It is commonly known as the minimal or measurable residual disease (MRD), and it is detectable but potentially incurable. The use of prognostic molecular tools may be able to directly screen patients who are most likely to have MRD, but the relationship between these predictors and MRD detection remains unknown. Another challenge is the lack of a definitive MRD assay with established clinical utility, as well as the difficulty in selecting potential interventions due to limitations in understanding MRD biology .