Diffusion-Weighted and Dynamic Contrast-Enhanced MRI in Evaluation of Early Treatment Effects During Neoadjuvant Chemotherapy in Breast Cancer Patients

被引:57
作者
Jensen, Line R. [1 ]
Garzon, Benjamin [1 ]
Heldahl, Mariann G. [1 ]
Bathen, Tone F. [1 ]
Lundgren, Steinar [1 ,2 ]
Gribbestad, Ingrid S. [1 ]
机构
[1] NTNU, Dept Circulat & Med Imaging, Trondheim, Norway
[2] St Olavs Univ Hosp, Dept Oncol, Trondheim, Norway
关键词
3T; neoadjuvant chemotherapy; treatment monitoring; diffusion-weighted MRI; dynamic contrast-enhanced MRI; PRETREATMENT PREDICTION; TREATMENT RESPONSE; REDUCTION; INDEX; DTPA; SIZE;
D O I
10.1002/jmri.22726
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 use dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) MRI at 3 Tesla (T) for early evaluation of treatment effects in breast cancer patients undergoing neoadjuvant chemotherapy (NAC), and assess the reliability of DW-MRI. Materials and Methods: DW- and DCE-MRI acquisitions of 15 breast cancer patients were performed before and after one cycle of NAC. MRI tumor diameter and volume, apparent diffusion coefficient (ADC) and kinetic parameters (K-trans, v(e)) were derived. The reliability of ADC before NAC was assessed. Changes in MRI parameters after NAC were analyzed, and logistic regression analysis was used to find the best predictors for pathologic response. Results: The reliability for ADC values was high, with intraclass correlation coefficient of 0.84 (P = 0.001). After one cycle of NAC, MRI tumor diameter (8%, P = 0.005) and tumor volume (30%, P = 0.008) was reduced for all patients, while ADC mean values increased (0.12 mm(2)/s, P = 0.008). The best predictor for treatment response was a change in MRI tumor diameter with mean error rate of 0.167 (13% for responders, 5% for nonresponders, P = 0.291). Conclusion: Changes in MRI derived tumor diameter and ADC after only one cycle of NAC could provide a valuable tool for early evaluation of treatment effects in breast cancer patients.
引用
收藏
页码:1099 / 1109
页数:11
相关论文
共 38 条
[1]   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
[2]   Diffusion-Weighted Magnetic Resonance Imaging as a Cancer Biomarker: Consensus and Recommendations [J].
不详 .
NEOPLASIA, 2009, 11 (02) :102-125
[3]   Diffusion-weighted MR for Differentiation of Breast Lesions at 3.0 T: How Does Selection of Diffusion Protocols Affect Diagnosis? [J].
Bogner, Wolfgang ;
Gruber, Stephan ;
Pinker, Katja ;
Grabner, Guenther ;
Stadlbauer, Andreas ;
Weber, Michael ;
Moser, Ewald ;
Helbich, Thomas H. ;
Trattnig, Siegfried .
RADIOLOGY, 2009, 253 (02) :341-351
[4]  
Bonadonna G, 1996, SEMIN ONCOL, V23, P464
[5]   Measurement of the arterial concentration of Gd-DTPA using MRI: A step toward quantitative perfusion imaging [J].
FritzHansen, T ;
Rostrup, E ;
Larsson, HBW ;
Sondergaard, L ;
Ring, P ;
Henriksen, O .
MAGNETIC RESONANCE IN MEDICINE, 1996, 36 (02) :225-231
[6]   CONTRAST-ENHANCED MAGNETIC-RESONANCE-IMAGING OF THE BREAST [J].
GRIBBESTAD, IS ;
NILSEN, G ;
FJOSNE, H ;
FOUGNER, R ;
HAUGEN, OA ;
PETERSEN, SB ;
RINCK, PA ;
KVINNSLAND, S .
ACTA ONCOLOGICA, 1992, 31 (08) :833-842
[7]   Is there concordance of invasive breast cancer pathologic tumor size with magnetic resonance imaging? [J].
Grimsby, Gwen M. ;
Gray, Richard ;
Dueck, Amylou ;
Carpenter, Susanne ;
Stucky, Chee-Chee ;
Aspey, Heidi ;
Giurescu, Marina E. ;
Pockaj, Barbara .
AMERICAN JOURNAL OF SURGERY, 2009, 198 (04) :500-504
[8]  
Hosmer D.W., 2000, Applied logistic regression, V2nd, P31, DOI DOI 10.1002/0471722146
[9]   Comparison of risk of local-regional recurrence after mastectomy or breast conservation therapy for patients treated with neoadjuvant chemotherapy and radiation stratified according to a prognostic index score [J].
Huang, Eugene H. ;
Strom, Eric A. ;
Perkins, George H. ;
Oh, Julia L. ;
Chen, Allen M. ;
Meric-Bernstam, Funda ;
Hunt, Kelly K. ;
Sahin, Aysegul A. ;
Hortobagyi, Gabriel N. ;
Buchholz, Thomas A. .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2006, 66 (02) :352-357
[10]   The role of mean diffusivity (MD) as a predictive index of the response to chemotherapy in locally advanced breast cancer: a preliminary study [J].
Iacconi, Chiara ;
Giannelli, Marco ;
Marini, Carolina ;
Cilotti, Anna ;
Moretti, Monica ;
Viacava, Paolo ;
Picano, Eugenia ;
Michelotti, Andrea ;
Caramella, Davide .
EUROPEAN RADIOLOGY, 2010, 20 (02) :303-308