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
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




MRI Identifies Early Breast Cancer in At-Risk Survivors of Childhood Hodgkin Lymphoma

By MedImaging International staff writers
Posted on 04 Jun 2014
Print article
Magnetic-resonance imaging (MRI) has been shown to identify invasive breast tumors at very early stages, when cure rates are expected to be excellent, according to recent findings of the largest clinical study ever done to evaluate breast cancer screening of female survivors of childhood Hodgkin lymphoma (HL). These patients are at increased risk because they received chest radiation.

The findings, published online May 28, 2014, in the American Cancer Society’s journal Cancer, emphasizes the need for at-risk childhood HL survivors and primary care physicians to be cognizant of established guidelines that advocate breast MRI screening from the age of 25 years or eight years after chest radiation (whichever is later), according to lead investigator Dr. David Hodgson, a radiation oncologist at Princess Margaret Cancer Center, University Health Network (UHN; Toronto, ON, Canada).

“Female survivors of childhood HL who had chest radiation should speak with their family doctor about after-care assessment and breast cancer screening,” remarked Dr. Hodgson. “We estimate that 75% of women who are at high risk because of prior radiotherapy to the chest are not being screened. So my hope is that this new evidence will encourage these survivors to discuss early screening with their physicians. There is a provincial pediatric oncology aftercare system already in place to help them, organized by the Pediatric Oncology Group of Ontario [POGO].”

Dr. Hodgson’s study colleagues, in collaboration with colleagues at the Dana Farber Cancer Institute (Boston, MA, USA), performed 274 breast MRI scans on 96 women from 2005 to 2012. Ten breast tumors—50% of them invasive cancers—were diagnosed in nine women during 363 person-years follow up. The median age of breast cancer diagnosis was 39 years (range 24 to 43 years), and the median latency time period between HL diagnosis and age at breast cancer diagnoses was 21 years (range 12 to 27 years). “This illustrates the young age at which these cancers can occur. For some of these women, if they had been screened starting at age 40 or 50 like average risk women, it would have been too late,” commented Dr. Hodgson.

Of the 10 identified breast tumors, five were seen on both MRI and mammogram; three were visible only on MRI; and two were detected on mammogram by itself (but were noninvasive). The median size of invasive tumors size was 8 mm (range 3–15 mm) and none had metastasized to the lymph nodes. These findings are considerably better than earlier studies using only mammographic screening in these young patients, in which almost half of the cancers identified had cancer spread to the lymph nodes.

Dr. Hodgson noted that because MRI screening is so much more sensitive to small alterations in the appearance of the breast tissue than mammography, up to one-third of patients may be called back for further testing of suspicious findings, many of which are benign or not clinically significant and therefore require no treatment. “It’s important to forewarn at-risk HL survivors because call backs definitely heighten anxiety.”

Related Links:

Princess Margaret Cancer Center
Dana Farber Cancer Institute


Gold Member
Solid State Kv/Dose Multi-Sensor
AGMS-DM+
New
Ceiling-Mounted Digital Radiography System
Radiography 5000 C
New
Digital Radiography Generator
meX+20BT lite
New
1.5T MRI System
uMR 670

Print article

Channels

Ultrasound

view channel
Image: The powerful machine learning algorithm can “interpret” echocardiogram images and assess key findings (Photo courtesy of 123RF)

Largest Model Trained On Echocardiography Images Assesses Heart Structure and Function

Foundation models represent an exciting frontier in generative artificial intelligence (AI), yet many lack the specialized medical data needed to make them applicable in healthcare settings.... Read more

Nuclear Medicine

view channel
Image: The multi-spectral optoacoustic tomography (MSOT) machine generates images of biological tissues (Photo courtesy of University of Missouri)

New Imaging Technique Monitors Inflammation Disorders without Radiation Exposure

Imaging inflammation using traditional radiological techniques presents significant challenges, including radiation exposure, poor image quality, high costs, and invasive procedures. Now, new contrast... 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.