Oncology Imaging

A new machine learning approach can predict the negative side effects of radiation treatment in patients with head and neck cancers. The findings, presented at the American Society for Radiation Oncology (ASTRO) annual meeting, can help select patients who might need a more tailored care approach.

High-dose, targeted radiation can be a safe and effective option for men with oligometastatic prostate cancer, according to findings presented at the 61st Annual Meeting of the American Society for Radiation Oncology (ASTRO) in Chicago.

Exposure to diagnostic low-dose ionizing radiation is associated with an increased risk of developing cancer among pediatric patients, according to a recent study published in JAMA Network Open.

The American Society for Radiation Oncology (ASTRO) has updated its recommendations for using radiation therapy to treat patients with diagnosed pancreatic cancer.

Using contrast-enhanced digital mammography (CEDM) to evaluate low to moderately suspicious breast lesions can greatly reduce biopsies in patients with benign lesions, according to a study published Sept. 5 in Academic Radiology.

Providing patients more testing choices does not increase their participation in colorectal cancer screening—but the way clinician’s framed those choices did, according to a new study published in JAMA Network Open.

Enhanced dual-energy CT (DE-CT) can help distinguish lung squamous cell carcinoma from adenocarcinoma, reported authors of a new study published in Academic Radiology.

Prebiopsy multiparametric MRI (mpMRI) paired with targeted biopsy can improve the detection of clinically significant prostate cancer, according to a study published in JAMA Network Open.

Among patients who show any indication for radiotherapy, black women with breast cancer were more likely to receive radiation compared to white patients, according to a recent study published in Advances in Radiation Oncology.

The U.S. Preventative Services Task Force (USPSTF) released updated recommendations for BRCA1/2 testing, suggesting practitioners increase the use of genetic counseling and testing.

Synthesized digital mammography (SM) was created to help reduce the radiation dose for patients undergoing digital mammography (DM) in digital breast tomosynthesis (DBT), so why haven’t more clinics adopted it?

A new machine learning system created by UCLA researchers may help doctors classify breast cancers that are notoriously difficult to diagnose, according to an Aug. 9 study published in JAMA Network Open.