Classification system for identifying women at risk for altered partial breast irradiation recommendations after breast magnetic resonance imaging.
OBJECTIVE
To study the utility of preoperative breast MRI for partial breast irradiation (PBI) patient selection, using multivariable analysis of significant risk factors to create a classification rule.


METHODS
Between 2002 and 2009, 712 women with newly diagnosed breast cancer underwent preoperative bilateral breast MRI at Mayo Clinic Florida. Of this cohort, 566 were retrospectively deemed eligible for PBI according to the National Surgical Adjuvant Breast and Bowel Project Protocol B-39 inclusion criteria using physical examination, mammogram, and/or ultrasound. Magnetic resonance images were then reviewed to determine their impact on patient eligibility. The patient and tumor characteristics were evaluated to determine risk factors for altered PBI eligibility after MRI and to create a classification rule.


RESULTS
Of the 566 patients initially eligible for PBI, 141 (25%) were found ineligible because of pathologically proven MRI findings. Magnetic resonance imaging detected additional ipsilateral breast cancer in 118 (21%). Of these, 62 (11%) had more extensive disease than originally noted before MRI, and 64 (11%) had multicentric disease. Contralateral breast cancer was detected in 28 (5%). Four characteristics were found to be significantly associated with PBI ineligibility after MRI on multivariable analysis: premenopausal status (P=.021), detection by palpation (P<.001), first-degree relative with a history of breast cancer (P=.033), and lobular histology (P=.002). Risk factors were assigned a score of 0-2. The risk of altered PBI eligibility from MRI based on number of risk factors was 0:18%; 1:22%; 2:42%; 3:65%.


CONCLUSIONS
Preoperative bilateral breast MRI altered the PBI recommendations for 25% of women. Women who may undergo PBI should be considered for breast MRI, especially those with lobular histology or with 2 or more of the following risk factors: premenopausal, detection by palpation, and first-degree relative with a history of breast cancer.
Department of Radiation Oncology, Mayo Clinic, Jacksonville, Florida, USA.
Kristin V
KV
Kowalchik
Laura A
LA
Vallow
Michelle
M
McDonough
Colleen S
CS
Thomas
Michael G
MG
Heckman
Jennifer L
JL
Peterson
Cameron D
CD
Adkisson
Christopher
C
Serago
Sarah A
SA
McLaughlin
D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001943:Breast Neoplasms / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology / Q000532:radiotherapy*; D018270:Carcinoma, Ductal, Breast / Q000175:diagnosis / Q000235:genetics / Q000473:pathology / Q000532:radiotherapy; D002285:Carcinoma, Intraductal, Noninfiltrating / Q000175:diagnosis / Q000235:genetics / Q000473:pathology / Q000532:radiotherapy; D018275:Carcinoma, Lobular / Q000235:genetics / Q000473:pathology / Q000532:radiotherapy; D005260:Female; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008875:Middle Aged; D015999:Multivariate Analysis; D009378:Neoplasms, Multiple Primary / Q000175:diagnosis* / Q000235:genetics / Q000473:pathology / Q000532:radiotherapy*; D018579:Patient Selection; D017697:Premenopause; D012189:Retrospective Studies; D012307:Risk Factors; D047368:Tumor Burden