COVID-19 Vaccine Adenopathies Mimic Breast Malignancies; Appendicitis, CT Exposure and Increased Cancer Risk; and MRI AI Tool for Prostate Cancer Recurrence Prediction
Welcome to Diagnostic Imaging’s Weekly Scan. I’m senior editor, Whitney Palmer.
Before we get to our featured interview this week with Dr. Katerina Dodelzon from Weill Cornell Medicine about COVID-19-vaccine related adenopathies that can mimic breast malignancies on imaging, here are the top stories of the week.
As more and more people get vaccinated for COVID-19, investigators from Weill Cornell have cautioned radiologists about a common side effect of vaccination – swollen lymph nodes. Based on their experience with four women in their institution – these adenopathies are showing up on breast imaging and can mimic breast malignancies. In fact, adenopathies can appear within two-to-four days in 11.6 percent of patients after one dose and 16 percent after two. The presentation on ultrasound and mammography has been the same for both the Moderna and Pfizer-BioNTech vaccines. In their study published in Clinical Imaging, they recommend that radiologists consider vaccine-related adenopathy as a differential diagnosis for unilateral axillary adenopathy and ask a patient about her COVID-19 vaccine history. Doing so could reduce unnecessary node biopsies. However, you should conduct repeated targeted ultrasound within four-to-12 weeks after the second vaccine dose, and if the adenopathy is still there, conduct an ultrasound-guided core needle biopsy to rule out malignancy.
More evidence emerged this week in the debate over whether radiation exposure from CT scans can increase the likelihood of cancer. In a study published in JAMA Surgery, investigators from South Korea looked at cancer incidence in patients who had a CT scan associated with acute appendicitis. They found that, in fact, the number of hematologic malignant neoplasms does increase with the number of CT scans performed, particularly in children under age 16. This can be problematic, they said, because appendicitis is common in children, and CT is increasing being used with the condition. By examining patient records from 825,820 individuals, they identified an incidence ratio rate of 1.26 for hematologic malignant neoplasm with the uptick beginning roughly 3 years post-CT exposure. The excess incidence ratio rate for all neoplasms reached 4.44, but in the CT group, specifically, it was 1.40 for leukemia. And, for patients under 16, it was 1.21 after one CT and 1.60 after two or more. The results, they said, underscored the need to abide by the Image Gently and Image Wisely guidelines.
For more coverage based on industry expert insights and research, subscribe to the Diagnostic Imaging e-Newsletter here.
For prostate cancer, one of the most critical steps is being able to accurately identify which men will suffer a recurrence. According to a group from Case Western Reserve University, achieving that goal could get much easier thanks to their artificial intelligence tool, RadClip. They applied RadClip to pre-operative MRI scans from 200 patients who had undergone radical prostatectomy and found it can identify small heterogeneity and texture pattern differences both inside and outside the tumor. With that information, the team said, it is easier to estimate and predict post-surgical outcomes. Based on their findings, RadClip outperforms existing predictive strategies, such as Cancer of the Prostate Risk Assessment and the genomic-based Decipher® Prostate Cancer Test.
And, finally, this week, as mentioned earlier, anecdotal reports were published this week about COVID-19 vaccine-related adenopathies that can mimic malignant breast abnormalities. For the details of the study, Diagnostic Imaging spoke with Dr. Katerina Dodelzon, assistant professor of radiology at Weill Cornell Medicine. Dodelzon, who is also a board-certified breast imager, discussed the findings of her team’s experience with the four women included in the study and what it means for radiologists, both in breast imaging and other sub-specialties. Here’s what she had to say.
Study: AI Boosts Ultrasound AUC for Predicting Thyroid Malignancy Risk by 34 Percent Over TI-RADS
February 17th 2025In a study involving assessment of over 1,000 thyroid nodules, researchers found the machine learning model led to substantial increases in sensitivity and specificity for estimating the risk of thyroid malignancy over traditional TI-RADS and guidelines from the American Thyroid Association.
Can CT-Based AI Provide Automated Detection of Colorectal Cancer?
February 14th 2025For the assessment of contrast-enhanced abdominopelvic CT exams, an artificial intelligence model demonstrated equivalent or better sensitivity than radiologist readers, and greater than 90 percent specificity for the diagnosis of colorectal cancer.
The Reading Room: Racial and Ethnic Minorities, Cancer Screenings, and COVID-19
November 3rd 2020In this podcast episode, Dr. Shalom Kalnicki, from Montefiore and Albert Einstein College of Medicine, discusses the disparities minority patients face with cancer screenings and what can be done to increase access during the pandemic.
Key Chest CT Parameters for Body Composition May be Prognostic for Patients with Resectable NSCLC
February 11th 2025A high intermuscular adipose index has a 49 percent increased likelihood of being associated with lower overall survival in patients with resectable non-small cell lung cancer (NSCLC), according to new research.