Luminal-Type Breast Cancer: Correlation of Apparent Diffusion Coefficients with the Ki-67 Labeling Index

被引:105
作者
Mori, Naoko [1 ]
Ota, Hideki [1 ]
Mugikura, Shunji [1 ]
Takasawa, Chiaki [1 ]
Ishida, Takanori [2 ]
Watanabe, Gou [2 ]
Tada, Hiroshi [2 ]
Watanabe, Mika [3 ]
Takase, Kei [1 ]
Takahashi, Shoki [1 ]
机构
[1] Tohoku Univ, Grad Sch Med, Dept Diagnost Radiol, Sendai, Miyagi 9808574, Japan
[2] Tohoku Univ, Grad Sch Med, Dept Surg Oncol, Sendai, Miyagi 9808574, Japan
[3] Tohoku Univ, Grad Sch Med, Dept Pathol, Sendai, Miyagi 9808574, Japan
关键词
INTERNATIONAL EXPERT CONSENSUS; CONTRAST-ENHANCED MRI; CARCINOMA IN-SITU; PROGNOSTIC-FACTORS; POSTMENOPAUSAL WOMEN; DUCTAL CARCINOMA; PATHOLOGICAL FINDINGS; PREDICTIVE-VALUE; PRIMARY THERAPY; WEIGHTED MRI;
D O I
10.1148/radiol.14140283
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 the correlation between apparent diffusion coefficient (ADC) values and the Ki-67 labeling index for luminal- type (estrogen receptor-positive) breast cancer not otherwise specified (NOS) diagnosed by means of biopsy. Materials and Methods: The institutional review board approved this retrospective study, and the requirement for informed consent was waived. Between December 2009 and December 2012, 86 patients with 86 lesions with luminal-type invasive breast cancer NOS underwent magnetic resonance imaging, including dynamic contrast material-enhanced imaging and diffusion-weighted imaging with b values of 0 and 1000 sec/mm(2). Conventional measurement of the minimum and mean ADCs by placing regions of interest and histogram analysis of pixel-based ADC data of the entire tumor were performed by two observers independently and correlated with the Ki-67 labeling index of surgical specimens. Results: For the interobserver reliability, interclass correlation coefficients for all parameters with the exception of the minimum ADC exceeded 0.8, indicating almost perfect agreement. The minimum ADC and mean ADC and the 25th, 50th, and 75th percentiles of the histograms showed negative correlations with the Ki-67 labeling index (r = -0.49, -0.55, -0.54, -0.53, and -0.48, respectively). Receiver operating characteristic curve analysis for the differential diagnosis between the high-proliferation (Ki67. 14; n = 44) and low-proliferation (Ki-67, 14; n = 42) groups revealed that the most effective threshold for the mean ADC was lower than 1097 x 10(-6) mm(2)/sec, with sensitivity and specificity of 82% and 71%, respectively. The area under the receiver operating characteristic curve (AUC) was 0.81 for the mean ADC. There were no significant differences in the AUC among the parameters. Conclusion: Considering convenience for routine practice, the authors suggest that the mean ADC of the conventional method would be practical to use for estimating the Ki-67 labeling index.
引用
收藏
页码:66 / 73
页数:8
相关论文
共 36 条
[21]   A simple immunohistochemical panel comprising 2 conventional markers, Ki67 and p53, is a powerful tool for predicting patient outcome in luminal-type breast cancer [J].
Kobayashi, Takayuki ;
Iwaya, Keiichi ;
Moriya, Tomoyuki ;
Yamasaki, Tamio ;
Tsuda, Hitoshi ;
Yamamoto, Junji ;
Matsubara, Osamu .
BMC CLINICAL PATHOLOGY, 2013, 13
[22]   Correlation between Ki67 and Breast Cancer Prognosis [J].
Kontzoglou, Konstantinos ;
Palla, Victoria ;
Karaolanis, George ;
Karaiskos, Ioannis ;
Alexiou, Ioannis ;
Pateras, Ioannis ;
Konstantoudakis, Konstantinos ;
Stamatakos, Michael .
ONCOLOGY, 2013, 84 (04) :219-225
[23]   Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers [J].
Koo, Hye Ryoung ;
Cho, Nariya ;
Song, In Chan ;
Kim, Hyeonjin ;
Chang, Jung Min ;
Yi, Ann ;
Yun, Bo La ;
Moon, Woo Kyung .
JOURNAL OF MAGNETIC RESONANCE IMAGING, 2012, 36 (01) :145-151
[24]   Contribution of Diffusion-Weighted Imaging to Dynamic Contrast-Enhanced MRI in the Characterization of Breast Tumors [J].
Kul, Sibel ;
Cansu, Aysegul ;
Alhan, Etem ;
Dinc, Hasan ;
Gunes, Gurbuz ;
Reis, Abdulkadir .
AMERICAN JOURNAL OF ROENTGENOLOGY, 2011, 196 (01) :210-217
[25]  
Lakhani S.R., WHO Classification of Tumours of the Breast, VFourth
[26]   MEASUREMENT OF OBSERVER AGREEMENT FOR CATEGORICAL DATA [J].
LANDIS, JR ;
KOCH, GG .
BIOMETRICS, 1977, 33 (01) :159-174
[27]   Correlations between diffusion-weighted imaging and breast cancer biomarkers [J].
Martincich, Laura ;
Deantoni, Veronica ;
Bertotto, Ilaria ;
Redana, Stefania ;
Kubatzki, Franziska ;
Sarotto, Ivana ;
Rossi, Valentina ;
Liotti, Michele ;
Ponzone, Riccardo ;
Aglietta, Massimo ;
Regge, Daniele ;
Montemurro, Filippo .
EUROPEAN RADIOLOGY, 2012, 22 (07) :1519-1528
[28]   Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters [J].
Mori, Naoko ;
Ota, Hideki ;
Mugikura, Shunji ;
Takasawa, Chiaki ;
Tominaga, Junya ;
Ishida, Takanori ;
Watanabe, Mika ;
Takase, Kei ;
Takahashi, Shoki .
EUROPEAN RADIOLOGY, 2013, 23 (10) :2705-2712
[29]   Supervised Risk Predictor of Breast Cancer Based on Intrinsic Subtypes [J].
Parker, Joel S. ;
Mullins, Michael ;
Cheang, Maggie C. U. ;
Leung, Samuel ;
Voduc, David ;
Vickery, Tammi ;
Davies, Sherri ;
Fauron, Christiane ;
He, Xiaping ;
Hu, Zhiyuan ;
Quackenbush, John F. ;
Stijleman, Inge J. ;
Palazzo, Juan ;
Marron, J. S. ;
Nobel, Andrew B. ;
Mardis, Elaine ;
Nielsen, Torsten O. ;
Ellis, Matthew J. ;
Perou, Charles M. ;
Bernard, Philip S. .
JOURNAL OF CLINICAL ONCOLOGY, 2009, 27 (08) :1160-1167
[30]   Ki67 proliferation in core biopsies versus surgical samples - a model for neo-adjuvant breast cancer studies [J].
Romero, Quinci ;
Bendahl, Par-Ola ;
Klintman, Marie ;
Loman, Niklas ;
Ingvar, Christian ;
Ryden, Lisa ;
Rose, Carsten ;
Grabau, Dorthe ;
Borgquist, Signe .
BMC CANCER, 2011, 11