Optimized Breast MRI Functional Tumor Volume as a Biomarker of Recurrence-Free Survival Following Neoadjuvant Chemotherapy

被引:37
作者
Jafri, Nazia F. [1 ]
Newitt, David C. [1 ]
Kornak, John [2 ]
Esserman, Laura J. [3 ]
Joe, Bonnie N. [1 ]
Hylton, Nola M. [1 ]
机构
[1] Univ Calif San Francisco, Dept Radiol & Biomed Imaging, San Francisco, CA 94143 USA
[2] Univ Calif San Francisco, Dept Epidemiol & Biostat, San Francisco, CA 94143 USA
[3] Univ Calif San Francisco, Dept Surg, San Francisco, CA USA
基金
美国国家卫生研究院;
关键词
SER/PE thresholds; MRI breast functional tumor volume; neoadjuvant chemotherapy; CONTRAST-ENHANCED MRI; CANCER PATIENTS; PREDICT; MAMMOGRAPHY; ACCURACY;
D O I
10.1002/jmri.24351
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To evaluate optimal contrast kinetics thresholds for measuring functional tumor volume (FTV) by breast magnetic resonance imaging (MRI) for assessment of recurrence-free survival (RFS). Materials and Methods: In this Institutional Review Board (IRB)-approved retrospective study of 64 patients (ages 29-72, median age of 48.6) undergoing neoadjuvant chemotherapy (NACT) for breast cancer, all patients underwent pre-MRI1 and postchemotherapy MRI4 of the breast. Tumor was defined as voxels meeting thresholds for early percent enhancement (PEthresh) and early-to-late signal enhancement ratio (SERthresh); and FTV (PEthresh, SERthresh) by summing all voxels meeting threshold criteria and minimum connectivity requirements. Ranges of PEthresh from 50% to 220% and SERthresh from 0.0 to 2.0 were evaluated. A Cox proportional hazard model determined associations between change in FTV over treatment and RFS at different PE and SER thresholds. Results: The plot of hazard ratios for change in FTV from MRI1 to MRI4 showed a broad peak with the maximum hazard ratio and highest significance occurring at PE threshold of 70% and SER threshold of 1.0 (hazard ratio = 8.71, 95% confidence interval 2.86-25.5, P < 0.00015), indicating optimal model fit. Conclusion: Enhancement thresholds affect the ability of MRI tumor volume to predict RFS. The value is robust over a wide range of thresholds, supporting the use of FTV as a biomarker.
引用
收藏
页码:476 / 482
页数:7
相关论文
共 26 条
[1]  
ACR Breast Magnetic Resonance Imaging (MRI), 2011, ACR BREAST MAGN RES
[2]   Early Changes in Functional Dynamic Magnetic Resonance Imaging Predict for Pathologic Response to Neoadjuvant Chemotherapy in Primary Breast Cancer [J].
Ah-See, Mei-Lin W. ;
Makris, Andreas ;
Taylor, N. Jane ;
Harrison, Mark ;
Richman, Paul I. ;
Burcombe, Russell J. ;
Stirling, J. James ;
d'Arcy, James A. ;
Collins, David J. ;
Pittam, Michael R. ;
Ravichandran, Duraisamy ;
Padhani, Anwar R. .
CLINICAL CANCER RESEARCH, 2008, 14 (20) :6580-6589
[3]   Primary chemotherapy in operable breast cancer: Eight-year experience at the Milan Cancer Institute [J].
Bonadonna, G ;
Valagussa, P ;
Brambilla, C ;
Ferrari, L ;
Moliterni, A ;
Terenziani, M ;
Zambetti, M .
JOURNAL OF CLINICAL ONCOLOGY, 1998, 16 (01) :93-100
[4]   Accuracy of physical examination, ultrasonography, and mammography in predicting residual pathologic tumor size in patients treated with neoadjuvant chemotherapy [J].
Chagpar, AB ;
Middleton, LP ;
Sahin, AA ;
Dempsey, P ;
Buzdar, AU ;
Mirza, AN ;
Ames, FC ;
Babiera, GV ;
Feig, BW ;
Hunt, KK ;
Kuerer, HM ;
Meric-Bernstam, F ;
Ross, MI ;
Singletary, SE .
ANNALS OF SURGERY, 2006, 243 (02) :257-264
[5]   Tumor metabolism and blood flow changes by positron emission tomography: Relation to survival in patients treated with neoadjuvant chemotherapy for locally advanced breast cancer [J].
Dunnwald, Lisa K. ;
Gralow, Julie R. ;
Ellis, Georgiana K. ;
Livingston, Robert B. ;
Linden, Hannah M. ;
Specht, Jennifer M. ;
Doot, Robert K. ;
Lawton, Thomas J. ;
Barlow, William E. ;
Kurland, Brenda F. ;
Schubert, Erin K. ;
Mankoff, David A. .
JOURNAL OF CLINICAL ONCOLOGY, 2008, 26 (27) :4449-4457
[6]   Utility of magnetic resonance imaging in the management of breast cancer: Evidence for improved preoperative staging [J].
Esserman, L ;
Hylton, N ;
Yassa, L ;
Barclay, J ;
Frankel, S ;
Sickles, E .
JOURNAL OF CLINICAL ONCOLOGY, 1999, 17 (01) :110-119
[7]   Effect of preoperative chemotherapy on the outcome of women with operable breast cancer [J].
Fisher, B ;
Bryant, J ;
Wolmark, N ;
Mamounas, E ;
Brown, A ;
Fisher, ER ;
Wickerham, DL ;
Begovic, M ;
DeCillis, A ;
Robidoux, A ;
Margolese, RG ;
Cruz, AB ;
Hoehn, JL ;
Lees, AW ;
Dimitrov, NV ;
Bear, HD .
JOURNAL OF CLINICAL ONCOLOGY, 1998, 16 (08) :2672-2685
[8]   Accuracy of unidimensional and volumetric ultrasound measurements in predicting good pathological response to neoadjuvant chemotherapy in breast cancer patients [J].
Gounaris, I. ;
Provenzano, E. ;
Vallier, A. L. ;
Hiller, L. ;
Iddawela, M. ;
Hilborne, S. ;
Taylor, K. ;
Britton, P. ;
Earl, H. M. ;
Sinnatamby, R. .
BREAST CANCER RESEARCH AND TREATMENT, 2011, 127 (02) :459-469
[9]   Prognostic value of pretreatment dynamic contrast-enhanced MR imaging in breast cancer patients receiving neoadjuvant chemotherapy: Overall survival predicted from combined time course and volume analysis [J].
Heldahl, Mariann G. ;
Bathen, Tone F. ;
Rydland, Jana ;
Kvistad, Kjell A. ;
Lundgren, Steinar ;
Gribbestad, Ingrid S. ;
Goa, Pal E. .
ACTA RADIOLOGICA, 2010, 51 (06) :604-612
[10]  
Hortobagyi G N, 2001, J Natl Cancer Inst Monogr, P72