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E-Newsletter • December 2024 |
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Editor's E-Note
As we come to the end of the year, it’s time to assess where we’ve been and look ahead to the future. This month’s exclusive takes a look at the state of CT and considers where it may be going.
For more of the latest imaging news, visit us on X, formerly known as Twitter, and/or Facebook.
From everyone at Radiology Today, we wish you a happy, healthy, and peaceful holiday season. Enjoy the newsletter.
— Dave Yeager, editor |
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Computed Tomography: Painting a Better Picture of Health Care
By Chandana Patnaik
While the health care industry expands and aims to enhance patient survival, a paradoxical situation arises when we consider that there is an increasing prevalence of fatal diseases such as cancer. Over 35 million new cancer cases are predicted in 2050, a 77% increase from the estimated 20 million cases in 2022, according the World Health Organization. Early detection of any disease, be it cancer or something else, can significantly increase the chances of successful treatment.
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Various studies have reported these findings:
- Low-dose CT scans can reduce lung cancer mortality by 20%, compared with standard chest X-rays.
- The five-year survival rate for colorectal cancer is approximately 90% when detected early, before it has spread outside the colon. CT scans, particularly CT colonography, are effective in identifying early-stage tumors.
- The 10-year survival rate exceeds 90% for individuals diagnosed at stage one of various cancers, compared with 5% for those diagnosed at stage four.
- Early detection of breast cancer can lead to survival rates as high as 98%.
In an era where precision medicine is becoming the standard of care, early intervention via medical imaging techniques can mean the difference between life and death. For example, CT procedures have emerged as a revolutionary tool in modern health care, offering unparalleled insights into the human body that can detect diseases at their most treatable stages.
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AI Tool Reveals Numerous Diseases on CT Scans
Researchers at NYU Langone found that “repurposing” medical images beyond their originally intended usage, especially with the help of AI, yields promising results. Their study was presented at the annual meeting of the RSNA.
Low-Field MRI, AI Measure Alzheimer's Disease Characteristics
A study conducted by Massachusetts General Hospital revealed that low-field MRI, paired with machine learning tools, can expand access to brain imaging and better identify the characteristics of Alzheimer's disease in the brain.
Low-Dose Chest CT Can Identify Coronary Artery Calcium
While using low-dose chest CT to detect lung cancer is common practice, research published in the Canadian Medical Association Journal found that it can also identify risk factors leading to coronary artery disease. |
“A woman with mammographic features associated with a high risk of breast cancer detection could benefit from more frequent screening or risk-reducing medication. … Critically, we need to identify the pathobiology associated with mammographic features and the underlying mechanisms that link them with breast cancer oncogenesis. This will be essential in establishing their relevance to short- and long-term breast cancer risk, as well as future efforts to reduce that risk.”
— Erik Thompson, PhD, of the Queensland University of Technology in Brisbane, Australia, and senior author of a study on the ability of AI to predict breast cancer risk |
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COVER STORY
Time for a Chat About LLMs?
A recent study demonstrates ChatGPT’s potential usefulness in aiding radiologists’ interpretation of medical images.
FEATURE
Mapping a Complex Landscape
Breakthroughs with functional MRI aid physicians in better understanding and treating all forms of depression.
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