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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Surveillance intensity doesn’t equate to earlier detection, improved survival in colorectal cancer patients

A recent JAMA study from University of Texas MD Anderson Cancer Center researchers found no correlation between intensity of post-treatment surveillance and detection of recurrence or survival in patients with stage I, II or III colorectal cancer (CRC).

Robot-assisted imaging may hasten treatment for prostate cancer patients

Researchers have successfully used robot-assisted multispectral-fluorescence imaging to distinguish between healthy and diseased lymphatic flow patterns.

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Study shows 2017 ACR ultrasound guidelines accurately ID patients for thyroid cancer biopsy

New ultrasound guidelines can accurately identify pediatric patients who should undergo biopsy for thyroid cancer, according to recent research presented at the Society for Pediatric Radiology’s annual meeting in Nashville, Tennessee. 

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Fewer than 2% of heavy smokers in US undergo lung screenings

Only two percent of heavy smokers—those who smoke a pack a day—in the U.S. currently receive lung cancer screenings, according to a recent press release from the American Society of Clinical Oncology (ASCO).

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Men with low-risk prostate cancer opt for conservative approaches instead of aggressive treatments

In 2005, just 27 percent of men under 65 passed on immediate therapy and instead opted for “watchful waiting” or “active surveillance” for low-risk prostate cancer. A decade later, in 2015, 72 percent decided on a more conservative approach, according to a JAMA study.

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Why would 41% of women with dense breasts avoid supplemental breast MRIs?

More than 41 percent of women with dense breasts will choose to forgo supplemental breast MRI after receiving a negative mammography screening, according to a study recently published in Clinical Radiology.

Machine learning objectively contours CT scans, saves time for radiation oncologists

Contouring is an instrumental process for radiation oncologists and their patients—but the method is highly subjective. Researchers found their deep neural network algorithm could result in massive time savings for providers.

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Computational method uses CT, algorithms to assess lungs for COPD

A research team compiled of mathematicians, clinicians and imaging technicians from the University of Southampton in the U.K. recently developed a computational method to analyze x-ray images of the lungs for overall function and presence of fatal diseases.