MRI Can Help Predict Breast Cancer Recurrence
Jun 17, 2005 - 1:48:00 AM
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But unlike pathology, early changes in tumor volume can potentially be assessed by MRI at a time when chemotherapy regimens can still be modified. Our study showed that MRI measurements of breast tumor volume can help predict recurrence-free survival. We are encouraged by these results and anticipate that monitoring tumor response by MRI will help us to better tailor treatment strategies for individual patients. A larger multi-center study is currently underway to see if MRI can determine if chemotherapy is working early enough for treatment to be changed,
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By American Roentgen Ray Society (ARRS),
[RxPG] MRI measurement of breast tumor volumebefore, during and after chemotherapycan help predict whether a patients cancer will return, a new study shows.
The study, performed at the University of California-San Francisco, of 58 breast cancer patients found that the best way to predict a patient's recurrence-free survival is to review the initial MR examination (before the patient has chemotherapy) and the final MR examination (after chemotherapy has been completed). Initial tumor volume was a strong predictor of recurrence free survival. Of the women who had tumor volumes of 33 cm3 or less on the initial MR exam, 93% remained disease free after two years, compared with 70% of the women with larger tumors. This speaks strongly for the value of early detection, said Savannah C. Partridge, PhD, now an assistant professor of radiology at the University of Washington, Seattle.
The change in tumor volume with treatment was also a valuable predictor, said Dr. Partridge. We found that the group of patients who had a 50% or greater reduction in MRI tumor volume when comparing the first MR examination to the last had a better recurrence-free survival rate (87% remained disease-free after two years) than those with less tumor shrinkage during chemotherapy treatment (64% were disease-free after two years), irrespective of their initial tumor volumes, she added.
One patient with a large focal mass showed a substantial decrease in tumor volume on MRI during treatment, and continues to be disease-free 40 months after surgery. In contrast, a second patient, with a more diffuse mass, showed an increase in tumor volume on MRI during treatment that was not detected by clinical examination. Her disease returned eight months after surgery, said Dr. Partridge.
Most often, MRI is used to measure the tumors diameter, said Dr. Partridge. This study shows that while measuring tumor diameter is useful for staging, volume is preferable for monitoring treatment because 3D volume measurements can more accurately capture the extent of irregularly shaped tumors, multifocality and diffuse shrinkage of lesions during treatment, she said. It is important that an accurate and validated tool be used for calculation of 3D tumor volume from MRI images, she noted.
Physicians now typically evaluate treatment response by clinical exam and pathology. But unlike pathology, early changes in tumor volume can potentially be assessed by MRI at a time when chemotherapy regimens can still be modified. Our study showed that MRI measurements of breast tumor volume can help predict recurrence-free survival. We are encouraged by these results and anticipate that monitoring tumor response by MRI will help us to better tailor treatment strategies for individual patients. A larger multi-center study is currently underway to see if MRI can determine if chemotherapy is working early enough for treatment to be changed, she said.
Publication:
The study appears in the June 2005 issue of the American Journal of Roentgenology.
On the web:
AJR Jun 2005;184:1774-1781 
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Additional information about the news article
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The American Journal of Roentgenology (AJR) is a highly respected peer-reviewed monthly radiology journal published by the American Roentgen Ray Society (ARRS). For almost 100 years, the AJR has been recognized as one of the best specialty journals in the world. The ARRS and AJR are named after Wilhelm Röentgen, who discovered the x-ray in 1895. For more information, visit www.arrs.org.
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