When applied to MRI and clinical features, different machine learning models were recently shown to reliably predict post-treatment recurrences of hepatocellular carcinoma. 

The new findings findings represent “a step toward improved tumor diagnoses," according to authors of a new study published in JAMA.

Implementing an EHR cancer tracking system to review radiology reports for abnormal findings resulted in patients at one Veterans Affairs Hospital receiving their cancer diagnosis and treatment months earlier than those who were imaged before the system was put into place.

The authors stated that their results should not deter providers from offering their patients radiotherapy treatment but rather encourage in-depth discussions and shared decisions pertaining to the best options.

Using hybrid multidimensional MRI exams in lieu of multiparametric MRI for the assessment of prostate cancer could reduce interpretation times while increasing interobserver agreement. 

Individuals at high risk of pancreatic cancer benefit from annual imaging and have decreased mortality rates compared to those who forgo preventive screening.  

Experts observed significantly reduced pneumothorax and pulmonary hemorrhage rates of 8% and 6% when utilizing the method.

PET/CT imaging in these patients increases overall survival depending on the cancer’s stage, with those diagnosed with stage 3A and 3B NSCLC appearing to benefit the most from the exam.