A citation-based method for searching scientific literature

Fumi Kato, Kohsuke Kudo, Hiroko Yamashita, Jeff Wang, Mitsuchika Hosoda, Kanako C Hatanaka, Rie Mimura, Noriko Oyama-Manabe, Hiroki Shirato. Eur J Radiol 2016
Times Cited: 25







List of co-cited articles
182 articles co-cited >1



Times Cited
  Times     Co-cited
Similarity


Correlations between diffusion-weighted imaging and breast cancer biomarkers.
Laura Martincich, Veronica Deantoni, Ilaria Bertotto, Stefania Redana, Franziska Kubatzki, Ivana Sarotto, Valentina Rossi, Michele Liotti, Riccardo Ponzone, Massimo Aglietta,[...]. Eur Radiol 2012
163
56




Correlation of the apparent diffusion coefficient value and dynamic magnetic resonance imaging findings with prognostic factors in invasive ductal carcinoma.
Su Kyung Jeh, Sung Hun Kim, Hyeon Sook Kim, Bong Joo Kang, Seung Hee Jeong, Hyeon Woo Yim, Byung Joo Song. J Magn Reson Imaging 2011
110
32

Differentiation of clinically benign and malignant breast lesions using diffusion-weighted imaging.
Yong Guo, You-Quan Cai, Zu-Long Cai, Yuan-Gui Gao, Ning-Yu An, Lin Ma, Srikanth Mahankali, Jia-Hong Gao. J Magn Reson Imaging 2002
525
28

Diffusion-weighted imaging of breast cancer: correlation of the apparent diffusion coefficient value with prognostic factors.
Sung Hun Kim, Eun Suk Cha, Hyeon Sook Kim, Bong Joo Kang, Jae Jeong Choi, Ji Han Jung, Yong Gyu Park, Young Jin Suh. J Magn Reson Imaging 2009
129
28

Histogram analysis of apparent diffusion coefficient at 3.0t: Correlation with prognostic factors and subtypes of invasive ductal carcinoma.
Eun Jeong Kim, Sung Hun Kim, Ga Eun Park, Bong Joo Kang, Byung Joo Song, Yun Ju Kim, Dongeon Lee, Hyunsoo Ahn, Inah Kim, Yo Han Son,[...]. J Magn Reson Imaging 2015
69
28

Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.
Sang Hee Park, Woo Kyung Moon, Nariya Cho, In Chan Song, Jung Min Chang, In-Ae Park, Wonshik Han, Dong-Young Noh. Radiology 2010
189
24


Potential of Diffusion-Weighted Imaging in the Characterization of Malignant, Benign, and Healthy Breast Tissues and Molecular Subtypes of Breast Cancer.
Uma Sharma, Rani G Sah, Khushbu Agarwal, Rajinder Parshad, Vurthaluru Seenu, Sandeep R Mathur, Smriti Hari, Naranamangalam R Jagannathan. Front Oncol 2016
29
24

Luminal-type breast cancer: correlation of apparent diffusion coefficients with the Ki-67 labeling index.
Naoko Mori, Hideki Ota, Shunji Mugikura, Chiaki Takasawa, Takanori Ishida, Gou Watanabe, Hiroshi Tada, Mika Watanabe, Kei Takase, Shoki Takahashi. Radiology 2015
92
20


Multiparametric diffusion-weighted imaging in breast lesions: Association with pathologic diagnosis and prognostic factors.
Shiteng Suo, Fang Cheng, Mengqiu Cao, Jiwen Kang, Mingyao Wang, Jia Hua, Xiaolan Hua, Lan Li, Qing Lu, Jialin Liu,[...]. J Magn Reson Imaging 2017
56
20

Diffusion-weighted imaging in assessing pathological response of tumor in breast cancer subtype to neoadjuvant chemotherapy.
Shangang Liu, Ruimei Ren, Zhaoqiu Chen, Yongsheng Wang, Tingyong Fan, Chengli Li, Pinliang Zhang. J Magn Reson Imaging 2015
39
20

Quantitative apparent diffusion coefficient measurement obtained by 3.0Tesla MRI as a potential noninvasive marker of tumor aggressiveness in breast cancer.
Manuela Durando, Lucas Gennaro, Gene Y Cho, Dilip D Giri, Merlin M Gnanasigamani, Sujata Patil, Elizabeth J Sutton, Joseph O Deasy, Elizabeth A Morris, Sunitha B Thakur. Eur J Radiol 2016
31
20


Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging.
Maciej A Mazurowski, Jing Zhang, Lars J Grimm, Sora C Yoon, James I Silber. Radiology 2014
144
16

Intravoxel incoherent motion diffusion-weighted MR imaging of breast cancer: association with histopathological features and subtypes.
Yunju Kim, Kyounglan Ko, Daehong Kim, Changki Min, Sungheon G Kim, Jungnam Joo, Boram Park. Br J Radiol 2016
33
16

Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers.
Hye Ryoung Koo, Nariya Cho, In Chan Song, Hyeonjin Kim, Jung Min Chang, Ann Yi, Bo La Yun, Woo Kyung Moon. J Magn Reson Imaging 2012
104
16

Intravoxel incoherent motion (IVIM)-derived parameters in diffusion-weighted MRI: Associations with prognostic factors in invasive ductal carcinoma.
Youn Joo Lee, Sung Hun Kim, Bong Joo Kang, Young Jee Kang, Heesoo Yoo, Jaewan Yoo, Jaeun Lee, Yo Han Son, Robert Grimm. J Magn Reson Imaging 2017
24
16

Evaluation of breast cancer using intravoxel incoherent motion (IVIM) histogram analysis: comparison with malignant status, histological subtype, and molecular prognostic factors.
Gene Young Cho, Linda Moy, Sungheon G Kim, Steven H Baete, Melanie Moccaldi, James S Babb, Daniel K Sodickson, Eric E Sigmund. Eur Radiol 2016
92
16



Effect of b value and pre-admission of contrast on diagnostic accuracy of 1.5-T breast DWI: a systematic review and meta-analysis.
Monique D Dorrius, Hildebrand Dijkstra, Matthijs Oudkerk, Paul E Sijens. Eur Radiol 2014
86
16

Tumor apparent diffusion coefficient as an imaging biomarker to predict tumor aggressiveness in patients with estrogen-receptor-positive breast cancer.
Hee Jung Shin, So Hee Kim, Hee Jin Lee, Gyungyub Gong, Seunghee Baek, Eun Young Chae, Woo Jung Choi, Joo Hee Cha, Hak Hee Kim. NMR Biomed 2016
30
16

Invasive ductal carcinoma: correlation of apparent diffusion coefficient value with pathological prognostic factors.
Ahmed Abdel Khalek Abdel Razek, Gada Gaballa, Adel Denewer, Nadia Nada. NMR Biomed 2010
112
16

Apparent diffusion coefficient as a potential surrogate marker for Ki-67 index in mucinous breast carcinoma.
Natsuko Onishi, Shotaro Kanao, Masako Kataoka, Mami Iima, Rena Sakaguchi, Makiko Kawai, Tatsuki R Kataoka, Yoshiki Mikami, Masakazu Toi, Kaori Togashi. J Magn Reson Imaging 2015
32
16

Diffusion-weighted imaging of breast masses: comparison of diagnostic performance using various apparent diffusion coefficient parameters.
Maki Hirano, Hiroko Satake, Satoko Ishigaki, Mitsuru Ikeda, Hisashi Kawai, Shinji Naganawa. AJR Am J Roentgenol 2012
79
16

Triple-negative breast cancer: correlation between MR imaging and pathologic findings.
Takayoshi Uematsu, Masako Kasami, Sachiko Yuen. Radiology 2009
216
16

Quantitative diffusion-weighted imaging as an adjunct to conventional breast MRI for improved positive predictive value.
Savannah C Partridge, Wendy B DeMartini, Brenda F Kurland, Peter R Eby, Steven W White, Constance D Lehman. AJR Am J Roentgenol 2009
183
16

Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma?
Hale Aydin, Bahar Guner, Isil Esen Bostanci, Zarife Melda Bulut, Bilgin Kadri Aribas, Lutfi Dogan, Mehmet Ali Gulcelik. Br J Radiol 2018
16
25

Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis.
Alexey Surov, Paola Clauser, Yun-Woo Chang, Lihua Li, Laura Martincich, Savannah C Partridge, Jin You Kim, Hans Jonas Meyer, Andreas Wienke. Breast Cancer Res 2018
29
16

Magnetic resonance imaging features in triple-negative breast cancer: comparison with luminal and HER2-overexpressing tumors.
Melania Costantini, Paolo Belli, Daniela Distefano, Enida Bufi, Marialuisa Di Matteo, Pierluigi Rinaldi, Michela Giuliani, Gianluigi Petrone, Stefano Magno, Lorenzo Bonomo. Clin Breast Cancer 2012
46
16

Differentiation of triple-negative breast cancer from other subtypes through whole-tumor histogram analysis on multiparametric MR imaging.
Tianwen Xie, Qiufeng Zhao, Caixia Fu, Qianming Bai, Xiaoyan Zhou, Lihua Li, Robert Grimm, Li Liu, Yajia Gu, Weijun Peng. Eur Radiol 2019
44
16

Meta-analysis of MR imaging in the diagnosis of breast lesions.
Nicky H G M Peters, Inne H M Borel Rinkes, Nicolaas P A Zuithoff, Willem P T M Mali, Karel G M Moons, Petra H M Peeters. Radiology 2008
336
12

Quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesion.
C Marini, C Iacconi, M Giannelli, A Cilotti, M Moretti, C Bartolozzi. Eur Radiol 2007
170
12


Quantification of breast tumor heterogeneity for ER status, HER2 status, and TN molecular subtype evaluation on DCE-MRI.
Ruey-Feng Chang, Hong-Hao Chen, Yeun-Chung Chang, Chiun-Sheng Huang, Jeon-Hor Chen, Chung-Ming Lo. Magn Reson Imaging 2016
50
12

Computerized image analysis for identifying triple-negative breast cancers and differentiating them from other molecular subtypes of breast cancer on dynamic contrast-enhanced MR images: a feasibility study.
Shannon C Agner, Mark A Rosen, Sarah Englander, John E Tomaszewski, Michael D Feldman, Paul Zhang, Carolyn Mies, Mitchell D Schnall, Anant Madabhushi. Radiology 2014
98
12

Correlation between high resolution dynamic MR features and prognostic factors in breast cancer.
Shin Ho Lee, Nariya Cho, Seung Ja Kim, Joo Hee Cha, Kyung Soo Cho, Eun Sook Ko, Woo Kyung Moon. Korean J Radiol 2008
89
12

Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.
T Sørlie, C M Perou, R Tibshirani, T Aas, S Geisler, H Johnsen, T Hastie, M B Eisen, M van de Rijn, S S Jeffrey,[...]. Proc Natl Acad Sci U S A 2001
12

Intravoxel incoherent motion (IVIM) in evaluation of breast lesions: comparison with conventional DWI.
Chunling Liu, Changhong Liang, Zaiyi Liu, Shuixing Zhang, Biao Huang. Eur J Radiol 2013
143
12

Intravoxel incoherent motion imaging of tumor microenvironment in locally advanced breast cancer.
E E Sigmund, G Y Cho, S Kim, M Finn, M Moccaldi, J H Jensen, D K Sodickson, J D Goldberg, S Formenti, L Moy. Magn Reson Med 2011
152
12

Breast Cancer: Diffusion Kurtosis MR Imaging-Diagnostic Accuracy and Correlation with Clinical-Pathologic Factors.
Kun Sun, Xiaosong Chen, Weimin Chai, Xiaochun Fei, Caixia Fu, Xu Yan, Ying Zhan, Kemin Chen, Kunwei Shen, Fuhua Yan. Radiology 2015
159
12

Correlations between apparent diffusion coefficient values and prognostic factors of breast cancer.
Takeshi Kamitani, Yoshio Matsuo, Hidetake Yabuuchi, Nobuhiro Fujita, Michinobu Nagao, Mikako Jinnouchi, Masato Yonezawa, Yuzo Yamasaki, Eriko Tokunaga, Makoto Kubo,[...]. Magn Reson Med Sci 2013
44
12

FDG PET/CT and diffusion-weighted imaging for breast cancer: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion.
Masatoyo Nakajo, Yoriko Kajiya, Tomoyo Kaneko, Youichi Kaneko, Takashi Takasaki, Atsushi Tani, Masako Ueno, Chihaya Koriyama, Masayuki Nakajo. Eur J Nucl Med Mol Imaging 2010
84
12

Diffusion-weighted MRI in the body: applications and challenges in oncology.
Dow-Mu Koh, David J Collins. AJR Am J Roentgenol 2007
12

Deconvolution-based dynamic contrast-enhanced MR imaging of breast tumors: correlation of tumor blood flow with human epidermal growth factor receptor 2 status and clinicopathologic findings--preliminary results.
Smitha Makkat, Robert Luypaert, Tadeusz Stadnik, Claire Bourgain, Steven Sourbron, Martine Dujardin, Jacques De Greve, Johan De Mey. Radiology 2008
46
12

Breast cancer molecular subtype classifier that incorporates MRI features.
Elizabeth J Sutton, Brittany Z Dashevsky, Jung Hun Oh, Harini Veeraraghavan, Aditya P Apte, Sunitha B Thakur, Elizabeth A Morris, Joseph O Deasy. J Magn Reson Imaging 2016
78
12


Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.