Dynamic breast MR imaging: is parametric mapping superior to image subtraction in lesion detection?

被引:0
作者
Kathinka D. Kurz
Hans-Jörg Wittsack
Reinhart Willers
Dirk Blondin
Ulrich Mödder
Andreas Saleh
机构
[1] Stavanger University Hospital,Department of Radiology
[2] University of Düsseldorf,Institute of Diagnostic Radiology
[3] University of Düsseldorf,Multimediacenter
来源
European Radiology | 2007年 / 17卷
关键词
Breast cancer; Magnetic resonance imaging; Image interpretation; Computer-assisted; Software tools;
D O I
暂无
中图分类号
学科分类号
摘要
We compared the detection of malignant lesions in two different methods of parametric-guided analysis to the widely used early subtraction images. The parametric colour-coded overlays were defined by the increase of signal intensity after contrast injection and the course of the time signal intensity curve. Exams of 30 patients with histopathological evidence of 32 invasive breast carcinomas were evaluated. Five hundred five areas of additional enhancing tissue were found in the early subtraction images. The sensitivity was 100 in the subtraction images and 100 and 93.8 in the parametric images, respectively, the specificity 67.5, 84.2 and 88.7, respectively. On average 4.4 ROI-measurements were needed to find the highest increase of signal intensity in the subtraction series compared to 1.9 in the parametric images. Properly selected thresholds in parametric imaging may be helpful in the differentiation of enhancing tissue. Furthermore the parametric image-guided ROI selection significantly speeds up the analysis and makes it safer as a lower rate of ROI-measurements is needed to find the strongest enhancement.
引用
收藏
页码:3093 / 3099
页数:6
相关论文
共 217 条
[11]  
Helbich TH(2003)Benign and malignant breast lesions: diagnosis with multiparametric MR imaging Radiology 229 225-232
[12]  
Szabo BK(1997)Mapping pathophysiological features of breast tumors by MRI at high spatial resolution Nat Med 3 780-782
[13]  
Aspelin P(2005)Magnetic resonance imaging reveals functional diversity of the vasculature in benign and malignant breast lesions Cancer 104 708-718
[14]  
Kristoffersen Wiberg M(1994)Dynamic MR mammography: a technique for potentially reducing the biopsy rate for benign breast disease J Magn Reson Imaging 4 563-568
[15]  
Tot T(2004)Neural network approach to the segmentation and classification of dynamic magnetic resonance images of the breast: comparison with empiric and quantitative kinetic parameters Acad Radiol 11 1344-1354
[16]  
Bone B(2002)Classification of hypervascularized lesions in CE MR imaging of the breast Eur Radiol 12 1087-1092
[17]  
Schnall MD(1997)The variability of fibroadenoma in contrast-enhanced dynamic MR mammography AJR Am J Roentgenol 168 1331-1334
[18]  
Blume J(1986)MR imaging of the breast using gadolinium-DTPA J Comput Assist Tomogr 10 199-204
[19]  
Bluemke DA(1999)Breast fibroadenoma: mapping of pathophysiologic features with three-time-point, contrast-enhanced MR imaging-pilot study Radiology 210 233-240
[20]  
DeAngelis GA(1994)MR characterization of suspicious breast lesions with a gadolinium-enhanced TurboFLASH subtraction technique Radiology 193 777-781