We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Lymph Node Ultrasound Imaging Most Effective for Obese Breast Cancer Patients

By MedImaging International staff writers
Posted on 14 May 2014
Print article
Image: Ultrasound imaging used to identify breast cancer in underarm lymph nodes in obese women has generated an unexpected finding: Fat did not obscure the images, and ultrasound imaging showing no suspicious lymph nodes actually was shown to be more accurate in overweight and obese patients than in women with a normal body mass index (Photo courtesy of the Mayo Clinic).
Image: Ultrasound imaging used to identify breast cancer in underarm lymph nodes in obese women has generated an unexpected finding: Fat did not obscure the images, and ultrasound imaging showing no suspicious lymph nodes actually was shown to be more accurate in overweight and obese patients than in women with a normal body mass index (Photo courtesy of the Mayo Clinic).
New research into whether ultrasound imaging used to identify breast cancer in underarm lymph nodes is less effective in obese women, has generated an unexpected finding. Fat did not obscure the images and ultrasound imaging showing no suspicious lymph nodes actually was shown to be more accurate in overweight and obese patients than in women with a normal body mass index.

The research was among several Mayo Clinic (Rochester, MN, USA) studies presented at the American Society of Breast Surgeons annual meeting, held April 30–May 4, 2014, in Las Vegas (NV, USA).

Researchers studied 1,331 breast cancer patients who received ultrasounds of their axillary lymph nodes, the lymph nodes in the armpits, to check for cancer before surgery. Of those patients, 36% were considered obese, with a body mass index of 30 or more. Body mass index is a formula that uses weight and height to estimate body fat. Of the other women evaluated, 33% were of normal weight and 31% were overweight but not obese.

Obesity can change lymph nodes, including the way they look in imaging studies, and make physical exam of underarm lymph nodes more challenging. The Mayo study discovered that higher body weight did not cloud ultrasound images of the axillary lymph nodes in overweight or obese cancer patients, and that their ultrasound scans had better specificity and accuracy than those of thinner women, meaning that when ultrasound showed no suspicious lymph nodes, it was likelier to be correct. “I think we were surprised at these results,” noted senior author Tina Hieken, MD, a breast cancer surgeon at Mayo Clinic. “It should be very reassuring that regardless of the weight of the patient, axillary ultrasound is helpful.”

Potential reasons for the findings, Dr. Hieken hypothesizes: Soft fatty tissue can be compressed during ultrasound scanning, and physicians now have more experience in knowing what lymph nodes may look like in overweight and obese patients. In some thin patients, ultrasounds may not yield as much information because underarm lymph nodes can be so close to the surface, it may be difficult to get good images, she reported.

Surgeons do not rely on ultrasound by itself to determine whether or not breast cancer has spread; it is one of several sources of information used to guide treatment. “For most patients with invasive breast cancer, if the axillary ultrasound is negative, we perform a sentinel lymph node biopsy at the time of the breast operation to make sure cancer has not spread. When the preoperative axillary ultrasound shows suspicious lymph nodes, we then do a fine-needle aspiration of the lymph nodes. If that shows cancer, we may discuss other strategies with the patient such as giving chemotherapy before surgery,” Dr. Hieken said.

More research is planned, including evaluating at different techniques of lymph node ultrasound to improve accuracy and perhaps to avoid axillary lymph node surgery altogether in some breast cancer patients with small tumors and negative axillary ultrasounds, Dr. Hieken reported.

Related Links:

Mayo Clinic

New
Gold Member
X-Ray QA Meter
T3 AD Pro
Opaque X-Ray Mobile Lead Barrier
2594M
New
3T MRI Scanner
MAGNETOM Cima.X
New
Diagnostic Ultrasound System
MS1700C

Print article
Radcal

Channels

Radiography

view channel
Image: The new X-ray detector produces a high-quality radiograph (Photo courtesy of ACS Central Science 2024, DOI: https://doi.org/10.1021/acscentsci.4c01296)

Highly Sensitive, Foldable Detector to Make X-Rays Safer

X-rays are widely used in diagnostic testing and industrial monitoring, from dental checkups to airport luggage scans. However, these high-energy rays emit ionizing radiation, which can pose risks after... Read more

MRI

view channel
Image: Artificial intelligence models can be trained to distinguish brain tumors from healthy tissue (Photo courtesy of 123RF)

AI Can Distinguish Brain Tumors from Healthy Tissue

Researchers have made significant advancements in artificial intelligence (AI) for medical applications. AI holds particular promise in radiology, where delays in processing medical images can often postpone... Read more

Nuclear Medicine

view channel
Image: Example of AI analysis of PET/CT images (Photo courtesy of Academic Radiology; DOI: 10.1016/j.acra.2024.08.043)

AI Analysis of PET/CT Images Predicts Side Effects of Immunotherapy in Lung Cancer

Immunotherapy has significantly advanced the treatment of primary lung cancer, but it can sometimes lead to a severe side effect known as interstitial lung disease. This condition is characterized by lung... Read more

General/Advanced Imaging

view channel
Image: Cleerly offers an AI-enabled CCTA solution for personalized, precise and measurable assessment of plaque, stenosis and ischemia (Photo courtesy of Cleerly)

AI-Enabled Plaque Assessments Help Cardiologists Identify High-Risk CAD Patients

Groundbreaking research has shown that a non-invasive, artificial intelligence (AI)-based analysis of cardiac computed tomography (CT) can predict severe heart-related events in patients exhibiting symptoms... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.