Oncology CT

Take a quick look at Diagnostic Imaging's Top 5 stories of the week.

Move could help address worse colorectal cancer outcomes for Black patients.

The deep learning algorithm can distinguish between malignant and benign nodules at initial screening.

Here's what to expect this week on Diagnostic Imaging.

In this patient with progressive anemia, what is your diagnosis on this CT?

A low-dose CT for lung cancer screening can also predict a five-year cardiovascular disease risk of death when using a deep learning algorithm.

Two interventions to increase lung cancer screening rates from the clinical and community perspectives.

Results show screening adherence is low among patients who could benefit most from scans.

Here's what to expect this week on Diagnostic Imaging.

The 2016 recommendation has led to a significant increase in the use of the non-invasive exam.

COVID-19 Machine Learning Models Not Ready for Clinical Use; CT Colonography Tops Colorectal Cancer Detection; Radiology's Environmental Impact; Plus, DBT in Academic and Community Settings

Compared with stool-based non-invasive screenings, CT colonography performs best for colorectal cancer screening and detection.

USPSTF lung cancer screening recommendation update; Cancer screenings and COVID-19; and CT and unintentional weight loss.

Revised guidelines support low-dose CT screening for patients between ages 50 and 80 with 20-pack year smoking histories – a move that lowers the screening age and, potentially, incorporates more high-risk individuals.

The impacts of the pandemic have been long-lasting – what has the effect been, and what prompts patients to return.

Here's what to expect this week on Diagnostic Imaging.

CT Colonography & Tumor Differentiation; COVID-19 & Leukoencephalopathy; MRI, the Angiography Suite, and Acute Ischemic Stroke; Plus, DBT, African American Women, & Decreased Access

Implementing a radiomics-based machine learning algorithm allows CT colonography to differentiate between benign and pre-cancerous polyps with high sensitivity and specificity.

Here's what to expect this week on Diagnostic Imaging.

Mammography "Sweet Spot" Recall Rate; MRI for Early-Stage Testicular Cancer Follow-Up; COVID-19 and Body Self-Attack; Plus, Global Radiology

Using MRI – rather than CT – for post-surgical monitoring can effectively detect cancer relapse without exposing men to unnecessary radiation.

COVID-19 Vaccine-Related Adenopathies on Breast MRI; Baseline Mammography at 40; Cherenkov Imaging to Improve Radiation Therapy Improvement; and Sexual Harassment and Gender Discrimination in Radiology

Not all radiologists adhere to practice guidelines that direct providers how to respond to the presence of pulmonary nodules.

Cherenkov imaging uses special BeamSite cameras to capture radiation beam interaction with tissue, making radiation oncology treatments a visual process.

Female breast cancer diagnosis is now the most common cancer diagnosis globally, largely affecting women in transitioning countries.

Low-Dose CT Screening for Never Smokers; PET Imaging and Hormone Therapy; Opportunities, Responsibilities, and Challenges for Women in Radiology; and Advances in Thyroid Cancer Imaging

Hormone therapy is only effective in roughly half of estrogen receptor-positive cancers. Being able to identify patients that will not respond could save valuable treatment time.

Research data reveals using LDCT with patients who have never smoked – but who are still at high risk – is effective for lung cancer screening.

Here's what to expect this week on Diagnostic Imaging.

Perivascular Spaces & Dementia; COVID-19 Loss of Smell and Taste; NAFLD & Multi-parametric CT; Plus, Point-of-Care Ultrasound in the Pandemic Era