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.

Artificial intelligence can help make breast cancer screening mammography more accurate.

Imaging features predict survival in patients with luminal breast cancer

Researchers have developed a prediction model that takes into account both imaging (post-NAC breast MRI) and clinical-pathologic features when forecasting patients' overall survival.

May 12, 2022
An international panel of experts recently developed and validated a reporting assessment scoring system that analyzes the location and extent of prostate cancer recurrence. 

Prostate cancer recurrence scoring system yields 'promising' results

An international panel of experts recently developed and validated a reporting assessment scoring system that analyzes the location and extent of prostate cancer recurrence. 

May 11, 2022
prostate cancer PSA

Total-body PET scanner detects cancer in 60 seconds

The new equipment, which initially will be used to treat prostate and neuroendocrine tumors, is expected to be operational in July.

May 11, 2022
CT scan showing lung cancer nodules with measurements of each nodule to track growth or regression from treatment. Image courtesy of RSNA

American Indian/Alaskan Native tribes three times more likely to get lung or colorectal cancer

This week presenters at the annual ARRS meeting discussed barriers these populations face when trying access vital cancer screenings.

May 3, 2022
lung cancer

Lung cancer risk increases with emphysema severity

Researchers analyzed a total of 21 studies that included more than 107,000 patients who had undergone CT assessments to examine associations between emphysema and lung cancer.

May 3, 2022
neck ultrasound thyroid

DL networks augment radiologist performance for thyroid cancer detection

After being presented with more than 15,000 images, each DL network yielded results comparable to that of four seasoned radiologists, authors of a new EJR study said.

May 2, 2022
An example of a lung cancer found using low-dose computed tomography (LDCT). Image courtesy of RSNA

Stratifying patients by risk of poor outcomes could reduce overtreatment of lung cancer

Researchers are using radiomics to narrow patient cohorts down to those who are at the greatest risk of poor lung cancer outcomes.

April 27, 2022
stomach ache

AI spots pancreatic cancer in its earliest stages

Experts involved in the study suggest their findings could eventually be used to detect pancreatic cancer in its earliest stages when patients are most likely to respond to interventions favorably.

April 26, 2022

Around the web

The newly approved AI models are designed to improve the detection of pulmonary embolisms and strokes in patients who undergo CT scans.

"I see, at least for the next decade, this being a SPECT and PET world, not one or the other," explained Tim Bateman, MD.

The FDA-approved technology developed by HeartFlow can predict a patient's long-term risk of target vessel failure as well as more invasive treatments performed inside a cath lab. 

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