Artificial Intelligence to Determine Whether Lung Cancer Patients Would Get Benefit From Immunotherapy, Says Study

A new research study found that analysts have developed an artificial intelligence (AI) method to identify which lung-cancer patients may get benefit from the treatment called immunotherapy. The study examined that artificial intelligence (AI) systems can assess the scans taken when lung cancer is first diagnosed and compare it with the scans done after two-three cycles of treatment to find changes.

Anant Madabhushi works at Centre for Computational Imaging and Personalised Diagnostics (CCIPD) said during the work that lab would help oncologists to know which patients would get benefit from the therapy, and who would not get the benefit. Madabhushi also said that immunotherapy has changed the entire ecosystem of cancer and also remains expensive about US$200,000 per patient per year.

He further said that immunotherapy is a part of financial toxicity that comes with cancer results in about nearly 42% of all recently diagnosed cancer patients who are losing their lives within a year of diagnosis. He also added that the research being done by the lab would go a long way towards a better performance of the job that matches, in which patients will respond to immunotherapy rather than paying $800,000 in the treatment.

The new research study done by the lead co-authors of the study Mohammadhadi Khorrami said that the research was the more ability of the computer program to observe the changes made in volume, texture, and shape of the given lesion. He also said that it is important because a doctor examines the results based on the CT images to know whether the patient is responding to the therapy or not. It is also found that textural change is a better predictor to know whether the therapy is working or not.

Prasanna, a research associate in Madabhushi’s lab said that the research shows that the results were constant throughout the scans of patients. He said, the initial study used CT scans from 50 patients to identify the changes in the lesion.

The study suggests that CT scans mainly appear to capture the immune response caused by the tumors against the invasion of cancer. The strong immune response was showing significant textural change and would be responding to immunotherapy.

 

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