Here's what to expect this week on Diagnostic Imaging.
In this week’s preview, here are some highlights of what you can expect to see coming soon:
The COVID-19 pandemic has made already difficult purchasing decisions even harder for many organizations. Is it possible for organizations to hit the sweet spot in investing in new technologies and controlling costs? This week, Guido Stoeckmann, regional sales manager for Dunlee, a medical imaging components manufacturer, offers guidance on how you can – and should – re-define your imaging technology investments. Look for his column later this week.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
Recent conversations around low-dose CT screening for lung cancer have pointed out its low participation rates and discussed its efficacy. This week, however, in research presented at the 2021 World Conference on Lung Cancer, investigators from Taiwan are sharing their results on the performance of the screening in a never-smoker population. Look for our coverage of their encouraging results later this week.
For additional low-dose CT screening coverage, click here.
Treatments for prostate cancer, such as surgery or radiation therapy, are effective, but they often bring unwanted side effects. This week, in Radiology, investigators will share the outcomes of their work with a different technique that can be used to treat intermediate-risk prostate cancer. Keep your eyes open for details about their study.
For additional coverage of prostate cancer, click here.
Leading Breast Radiologists Discuss the USPSTF Breast Cancer Screening Recommendations
May 17th 2024In recognition of National Women’s Health Month, Dana Bonaminio, MD, Amy Patel, MD, and Stacy Smith-Foley, MD, shared their thoughts and perspectives on the recently updated breast cancer screening recommendations from the United States Preventive Services Task Force (USPSTF).
Multicenter CT Study Shows Benefits of Emerging Diagnostic Model for Clear Cell Renal Cell Carcinoma
May 15th 2024Combining clinical and CT features, adjunctive use of a classification and regression tree (CART) diagnostic model demonstrated AUCs for detecting clear cell renal cell carcinoma (ccRCC) that were 15 to 22 percent higher than unassisted radiologist assessments.
CT Study: AI Algorithm Comparable to Radiologists in Differentiating Small Renal Masses
May 14th 2024An emerging deep learning algorithm had a lower AUC and sensitivity than urological radiologists for differentiating between small renal masses on computed tomography (CT) scans but had a 21 percent higher sensitivity rate than non-urological radiologists, according to new research.