Evaluation of Breast Cancer Morphology Using Diffusion-Weighted and Dynamic Contrast-Enhanced MRI: Intermethod and Interobserver Agreement

被引:27
作者
Radovic, Niko [1 ]
Ivanac, Gordana [1 ]
Divjak, Eugen [1 ]
Biondic, Iva [1 ]
Bulum, Antonio [1 ]
Brkljacic, Boris [1 ]
机构
[1] Univ Zagreb, Sch Med, Univ Hosp Dubrava, Dept Diagnost & Intervent Radiol, Zagreb, Croatia
关键词
magnetic resonance imaging; diffusion weighted MRI; contrast agent; breast cancer; observer variation; DIAGNOSTIC PERFORMANCE; LESIONS; VARIABILITY; WOMEN; PROTOCOL; FEATURES; LEXICON; TUMORS; RISK; DWI;
D O I
10.1002/jmri.26332
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
Background The capability of diffusion-weighted imaging (DWI) for morphological analysis of breast lesions is underexplored. Purpose To evaluate the utility of DWI for assessment of morphological features of breast cancer by comparing DWI and dynamic contrast-enhanced (DCE) MRI findings to determine intermethod and interobserver agreement. Study Type Retrospective. Population Seventy-eight women with pathohistologically proven breast cancer. Field Strength/Sequence 1.5T. DWI and DCE images. Assessment Diffusion-weighted and DCE images were placed in two separate case sets. Three radiologists, blinded to all other information, independently evaluated each case set on two separate occasions. Lesions were interpreted according to the fifth edition of the ACR BI-RADS lexicon. Statistical Analysis Kappa (kappa) statistics were calculated in order to assess intermethod and interobserver agreement. Results For values that attained statistical significance (P < 0.05), intermethod agreement ranged from fair (kappa = 0.22) for nonmass internal patterns to significant (kappa = 0.8) for lesion type. On DWI, interobserver agreement varied from fair (kappa = 0.34) for mass shape to significant (kappa = 0.75) for lesion type. On DCE MRI, interobserver agreement varied from fair (kappa = 0.27) for irregular vs. spiculated mass margin to perfect (kappa = 1) for circumscribed vs. noncircumscribed mass margin. Data Conclusion On the whole, there was moderate intermethod agreement. The values of interobserver agreement were mostly similar between DWI and DCE MRI. This suggests that DWI is applicable for morphological assessment of breast cancer, notwithstanding substantially inferior spatial resolution compared to DCE MRI.
引用
收藏
页码:1381 / 1390
页数:10
相关论文
共 38 条
[1]   Differentiation of malignant and benign breast lesions: Added value of the qualitative analysis of breast lesions on diffusion weighted imaging (DWI) using readout segmented echo-planar imaging at 3.0 T [J].
An, Yeong Yi ;
Kim, Sung Hun ;
Kang, Bong Joo .
PLOS ONE, 2017, 12 (03)
[2]   Assessment of Tumor Morphology on Diffusion- Weighted (DWI) Breast MRI: Diagnostic Value of Reduced Field of View DWI [J].
Barentsz, Maarten W. ;
Taviani, Valentina ;
Chang, Jung M. ;
Ikeda, Debra M. ;
Miyake, Kanae K. ;
Banerjee, Suchandrima ;
van den Bosch, Maurice A. A. J. ;
Hargreaves, Brian A. ;
Daniel, Bruce L. .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2015, 42 (06) :1656-1665
[3]   Magnetic resonance imaging of the breast prior to biopsy [J].
Bluemke, DA ;
Gatsonis, CA ;
Chen, MH ;
DeAngelis, GA ;
DeBruhl, N ;
Harms, S ;
Heywang-Köbrunner, SH ;
Hylton, N ;
Kuhl, CK ;
Lehman, C ;
Pisano, ED ;
Causer, P ;
Schnitt, SJ ;
Smazal, SF ;
Stelling, CB ;
Weatherall, PT ;
Schnall, MD .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2004, 292 (22) :2735-2742
[4]   Bilateral Diffusion-weighted MR Imaging of Breast Tumors with Submillimeter Resolution Using Readout-segmented Echoplanar Imaging at 7 T [J].
Bogner, Wolfgang ;
Pinker, Katja ;
Zaric, Olgica ;
Baltzer, Pascal ;
Minarikova, Lenka ;
Porter, David ;
Bago-Horvath, Zsuzsanna ;
Dubsky, Peter ;
Helbich, Thomas H. ;
Trattnig, Siegfried ;
Gruber, Stephan .
RADIOLOGY, 2015, 274 (01) :74-84
[5]   Readout-segmented Echo-pIanar Imaging Improves the Diagnostic Performance of Diffusion-weighted MR Breast Examinations at 3.0 T [J].
Bogner, Wolfgang ;
Pinker-Domenig, Katja ;
Bickel, Hubert ;
Chmelik, Marek ;
Weber, Michael ;
Helbich, Thomas H. ;
Trattnig, Siegfried ;
Gruber, Stephan .
RADIOLOGY, 2012, 263 (01) :64-76
[6]   Abbreviated MRI Protocols for Detecting Breast Cancer in Women with Dense Breasts [J].
Chen, Shuang-Qing ;
Huang, Min ;
Shen, Yu-Ying ;
Liu, Chen-Lu ;
Xu, Chuan-Xiao .
KOREAN JOURNAL OF RADIOLOGY, 2017, 18 (03) :470-475
[7]   Comparison between radiological and artificial neural network diagnosis in clinical screening [J].
Degenhard, A ;
Tanner, C ;
Hayes, C ;
Hawkes, DJ ;
Leach, MO .
PHYSIOLOGICAL MEASUREMENT, 2002, 23 (04) :727-739
[8]   Breast imaging reporting and data system (BI-RADS) lexicon for breast MRI: Interobserver variability in the description and assignment of BI-RADS category [J].
El Khoury, Mona ;
Lalonde, Lucie ;
David, Julie ;
Labelle, Maude ;
Mesurolle, Benoit ;
Trop, Isabelle .
EUROPEAN JOURNAL OF RADIOLOGY, 2015, 84 (01) :71-76
[9]   Pattern Recognition Approaches for Breast Cancer DCE-MRI Classification: A Systematic Review [J].
Fusco, Roberta ;
Sansone, Mario ;
Filice, Salvatore ;
Carone, Guglielmo ;
Amato, Daniela Maria ;
Sansone, Carlo ;
Petrillo, Antonella .
JOURNAL OF MEDICAL AND BIOLOGICAL ENGINEERING, 2016, 36 (04) :449-459
[10]   Diagnosis of breast tumors by contrast-enhanced MR imaging: Comparison between the diagnostic performance of dynamic enhancement patterns and morphologic features [J].
Goto, Mariko ;
Ito, Hirotoshi ;
Akazawa, Kentaro ;
Kubota, Takao ;
Kizu, Osamu ;
Yamada, Kei ;
Nishimura, Tsunehiko .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2007, 25 (01) :104-112