Oncology Imaging

Medical imaging has become integral to cancer care, assessing the stage and location of cancerous tumors. By utilizing powerful imaging modalities including CT, MRI, MRA and PET/CT, oncology imaging radiologists are able to assist referring physicians in the detection and diagnosis of cancer.

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Projected supply and demand of radiation oncology: Can the workforce keep up?

In years past, concerns have been raised over whether a growing radiation oncology workforce would eventually outpace patient demands, but a new report brings positive news.

Chemical imaging method could improve radiotherapy planning

A team of experts has been researching a method known as photo acoustic chemical imaging, or PACI, to understand how it can offer added insight into the chemical makeup of a tumor.  

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Older women with breast cancer can safely forego radiation therapy

New data suggest that it may not be necessary for women older than 65 with hormone receptor-positive breast cancer to undergo radiotherapy after breast-conserving surgery and hormone therapy, as it does not impact death rates or metastasis risk.

#DCIS #invasivebreastcancer #cancerupgrade #breastMRI

Ultrafast MRI predicts breast cancer upgrade

Preoperative ultrafast MRI could help guide biopsy and surgical management decision in patients with ductal carcinoma in situ. 

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Advanced PET/MRI protocols boost lung cancer detection

Experts involved in the new research indicate that PET/MRI could have an increasingly prevalent role in lung cancer staging and restaging.

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A 'clear lack of adherence' in imaging guidelines is impacting lung cancer survival rates

A study published in the January issue of the Journal of Nuclear Medicine reveals that nearly half of Medicare patients with NSCLC in the United States do not complete recommended FDG PET/CT scans prior to treatment.

#glioblastoma multiforme #GBM #braintumor

Deep learning helps experts take advantage of 'rare' chance to study deadly tumor progression

Researchers from the University of Waterloo and the University of Toronto are collaborating to better understand how glioblastoma multiforme (GBM) advances when it is not treated.

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AI tool predicts lung cancer without radiologists or clinical histories

The deep learning model was trained to predict risk of lung cancer in the one to six years following completion of an LDCT scan, and it does not require clinical information relative to risk factors to do so.

Around the web

RBMA President Peter Moffatt discusses declining reimbursement rates, recruiting challenges and the role of artificial intelligence in transforming the industry.

Deepak Bhatt, MD, director of the Mount Sinai Fuster Heart Hospital and principal investigator of the TRANSFORM trial, explains an emerging technique for cardiac screening: combining coronary CT angiography with artificial intelligence for plaque analysis to create an approach similar to mammography.

A total of 16 cardiology practices from 12 states settled with the DOJ to resolve allegations they overbilled Medicare for imaging agents used to diagnose cardiovascular disease.