Comparing Performance of the CADstream and the DynaCAD Breast MRI CAD Systems

被引:10
作者
Pan, Joann [1 ]
Dogan, Basak E. [2 ]
Carkaci, Selin [3 ]
Santiago, Lumarie [2 ]
Arribas, Elsa [2 ]
Cantor, Scott B. [4 ]
Wei, Wei [4 ]
Stafford, R. Jason [5 ]
Whitman, Gary J. [2 ]
机构
[1] Rice Univ, Dept Biochem & Cell Biol, Houston, TX 77251 USA
[2] Univ Texas MD Anderson Canc Ctr, Dept Diagnost Radiol, Houston, TX 77030 USA
[3] Ohio State Univ, Dept Diagnost Radiol, Wexner Med Ctr, Columbus, OH 43210 USA
[4] Univ Texas MD Anderson Canc Ctr, Dept Biostat, Houston, TX 77030 USA
[5] Univ Texas MD Anderson Canc Ctr, Dept Imaging Phys, Houston, TX 77030 USA
关键词
Breast; Breast diseases; Computer-assisted detection; Computer-aided diagnosis (CAD); Diagnostic imaging; MR imaging; COMPUTER-AIDED DETECTION; DISCRIMINATING BENIGN; LESIONS; DIAGNOSIS; CANCER; MAMMOGRAPHY; SENSITIVITY; WOMEN;
D O I
10.1007/s10278-013-9602-y
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
Computer-aided diagnosis (CAD) systems are software programs that use algorithms to find patterns associated with breast cancer on breast magnetic resonance imaging (MRI). The most commonly used CAD systems in the USA are CADstream (CS) (Merge Healthcare Inc., Chicago, IL) and DynaCAD for Breast (DC) (Invivo, Gainesville, FL). Our primary objective in this study was to compare the CS and DC breast MRI CAD systems for diagnostic accuracy and postprocessed image quality. Our secondary objective was to compare the evaluation times of radiologists using each system. Three radiologists evaluated 30 biopsy-proven malignant lesions and 29 benign lesions on CS and DC and rated the lesions' malignancy status using the Breast Imaging Reporting and Data System. Image quality was ranked on a 0-5 scale, and mean reading times were also recorded. CS detected 70 % of the malignant and 32 % of the benign lesions while DC detected 81 % of the malignant lesions and 34 % of the benign lesions. Analysis of the area under the receiver operating characteristic curve revealed that the difference in diagnostic performance was not statistically significant. On image quality scores, CS had significantly higher volume rendering (VR) (p < 0.0001) and motion correction (MC) scores (p < 0.0001). There were no statistically significant differences in the remaining image quality scores. Differences in evaluation times between DC and CS were also not statistically significant. We conclude that both CS and DC perform similarly in aiding detection of breast cancer on MRI. MRI CAD selection will likely be based on other factors, such as user interface and image quality preferences, including MC and VR.
引用
收藏
页码:971 / 976
页数:6
相关论文
共 19 条
[1]  
American College of Radiology, ACR PRACT GUID PERF
[2]  
American College of Radiology (ACR), 2003, ACR Breast Imaging Reporting and Data System: Breast Imaging Atlas, V4th ed.
[3]   Can breast MRI computer-aided detection (CAD) improve radiologist accuracy for lesions detected at MRI screening and recommended for biopsy in a high-risk population? [J].
Arazi-Kleinman, T. ;
Causer, P. A. ;
Jong, R. A. ;
Hill, K. ;
Warner, E. .
CLINICAL RADIOLOGY, 2009, 64 (12) :1166-1174
[4]   False-negative MR imaging of malignant breast tumors [J].
Boetes, C ;
Strijk, SP ;
Holland, R ;
Barentsz, JO ;
VanderSluis, RF ;
Ruijs, JHJ .
EUROPEAN RADIOLOGY, 1997, 7 (08) :1231-1234
[5]   Computer-aided detection applied to breast MRI: Assessment of CAD-generated enhancement and tumor sizes in breast cancers before and after neoadjuvant chemotherapy [J].
DeMartini, WB ;
Lehman, CD ;
Peacock, S ;
Russell, MT .
ACADEMIC RADIOLOGY, 2005, 12 (07) :806-814
[6]   Computer-aided diagnosis in medical imaging: Historical review, current status and future potential [J].
Doi, Kunio .
COMPUTERIZED MEDICAL IMAGING AND GRAPHICS, 2007, 31 (4-5) :198-211
[7]   Computer-aided detection in breast MRI: a systematic review and meta-analysis [J].
Dorrius, Monique D. ;
Jansen-van der Weide, Marijke C. ;
van Ooijen, Peter M. A. ;
Pijnappel, Ruud M. ;
Oudkerk, Matthijs .
EUROPEAN RADIOLOGY, 2011, 21 (08) :1600-1608
[8]   Central washout sign in computer-aided evaluation of breast MRI: preliminary results [J].
Ko, Eun Sook ;
Choi, Hye Young ;
Lee, Byung Hee ;
Noh, Woo-Chul ;
Kim, Rock Bum .
ACTA RADIOLOGICA, 2011, 52 (03) :256-263
[9]   Efficacy of MRI and mammography for breast-cancer screening in women with a familial or genetic predisposition [J].
Kriege, M ;
Brekelmans, CTM ;
Boetes, C ;
Besnard, PE ;
Zonderland, HM ;
Obdeijn, IM ;
Manoliu, RA ;
Kok, T ;
Peterse, H ;
Tilanus-Linthorst, MMA ;
Muller, SH ;
Meijer, S ;
Oosterwijk, JC ;
Beex, LVAM ;
Tollenaar, RAEM ;
de Koning, HJ ;
Rutgers, EJT ;
Klijn, JGM .
NEW ENGLAND JOURNAL OF MEDICINE, 2004, 351 (05) :427-437
[10]   MRI for diagnosis of pure ductal carcinoma in situ: a prospective observational study [J].
Kuhl, Christiane K. ;
Schrading, Simone ;
Bieling, Heribert B. ;
Wardelmann, Eva ;
Leutner, Claudia C. ;
Koenig, Roy ;
Kuhn, Walther ;
Schild, Hans H. .
LANCET, 2007, 370 (9586) :485-492