A citation-based method for searching scientific literature

Kun Sun, Xiaosong Chen, Weimin Chai, Xiaochun Fei, Caixia Fu, Xu Yan, Ying Zhan, Kemin Chen, Kunwei Shen, Fuhua Yan. Radiology 2015
Times Cited: 159







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



Times Cited
  Times     Co-cited
Similarity


Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging.
Jens H Jensen, Joseph A Helpern, Anita Ramani, Hanzhang Lu, Kyle Kaczynski. Magn Reson Med 2005
52


Application of the diffusion kurtosis model for the study of breast lesions.
Luísa Nogueira, Sofia Brandão, Eduarda Matos, Rita Gouveia Nunes, Joana Loureiro, Isabel Ramos, Hugo Alexandre Ferreira. Eur Radiol 2014
83
38

Quantitative non-Gaussian diffusion and intravoxel incoherent motion magnetic resonance imaging: differentiation of malignant and benign breast lesions.
Mami Iima, Kojiro Yano, Masako Kataoka, Masaki Umehana, Katsutoshi Murata, Shotaro Kanao, Kaori Togashi, Denis Le Bihan. Invest Radiol 2015
133
27

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
41

Separation of diffusion and perfusion in intravoxel incoherent motion MR imaging.
D Le Bihan, E Breton, D Lallemand, M L Aubin, J Vignaud, M Laval-Jeantet. Radiology 1988
22

Characterization of breast tumors using diffusion kurtosis imaging (DKI).
Dongmei Wu, Guanwu Li, Junxiang Zhang, Shixing Chang, Jiani Hu, Yongming Dai. PLoS One 2014
50
42

Body diffusion kurtosis imaging: Basic principles, applications, and considerations for clinical practice.
Andrew B Rosenkrantz, Anwar R Padhani, Thomas L Chenevert, Dow-Mu Koh, Frederik De Keyzer, Bachir Taouli, Denis Le Bihan. J Magn Reson Imaging 2015
216
21

Intravoxel Incoherent Motion and Quantitative Non-Gaussian Diffusion MR Imaging: Evaluation of the Diagnostic and Prognostic Value of Several Markers of Malignant and Benign Breast Lesions.
Mami Iima, Masako Kataoka, Shotaro Kanao, Natsuko Onishi, Makiko Kawai, Akane Ohashi, Rena Sakaguchi, Masakazu Toi, Kaori Togashi. Radiology 2018
59
35

Prostate cancer: feasibility and preliminary experience of a diffusional kurtosis model for detection and assessment of aggressiveness of peripheral zone cancer.
Andrew B Rosenkrantz, Eric E Sigmund, Glyn Johnson, James S Babb, Thais C Mussi, Jonathan Melamed, Samir S Taneja, Vivian S Lee, Jens H Jensen. Radiology 2012
207
20

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
17

Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors.
Yao Huang, Yan Lin, Wei Hu, Changchun Ma, Weixun Lin, Zhening Wang, Jiahao Liang, Wei Ye, Jiayun Zhao, Renhua Wu. J Magn Reson Imaging 2019
37
45

Use of diffusion kurtosis imaging and quantitative dynamic contrast-enhanced MRI for the differentiation of breast tumors.
Ting Li, Tao Yu, Lyu Li, Lunbo Lu, Yaoyao Zhuo, Jingge Lian, Yun Xiong, Dexing Kong, Kangan Li. J Magn Reson Imaging 2018
27
59

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
17

Accuracy of diffusion kurtosis imaging in characterization of breast lesions.
Alexandra Christou, Abraham Ghiatas, Dimitrios Priovolos, Konstantia Veliou, Haralambos Bougias. Br J Radiol 2017
26
61

Radiomics Based on Adapted Diffusion Kurtosis Imaging Helps to Clarify Most Mammographic Findings Suspicious for Cancer.
Sebastian Bickelhaupt, Paul Ferdinand Jaeger, Frederik Bernd Laun, Wolfgang Lederer, Heidi Daniel, Tristan Anselm Kuder, Lorenz Wuesthof, Daniel Paech, David Bonekamp, Alexander Radbruch,[...]. Radiology 2018
60
25

Cerebral gliomas: diffusional kurtosis imaging analysis of microstructural differences.
Peter Raab, Elke Hattingen, Kea Franz, Friedhelm E Zanella, Heinrich Lanfermann. Radiology 2010
280
15

Diffusion Kurtosis Imaging Study of Rectal Adenocarcinoma Associated with Histopathologic Prognostic Factors: Preliminary Findings.
Lan Zhu, Zilai Pan, Qian Ma, Wenjie Yang, Hongyuan Shi, Caixia Fu, Xu Yan, Lianjun Du, Fuhua Yan, Huan Zhang. Radiology 2017
66
19

Diffusion-weighted MR for differentiation of breast lesions at 3.0 T: how does selection of diffusion protocols affect diagnosis?
Wolfgang Bogner, Stephan Gruber, Katja Pinker, Günther Grabner, Andreas Stadlbauer, Michael Weber, Ewald Moser, Thomas H Helbich, Siegfried Trattnig. Radiology 2009
208
13


Diffusion MRI of the breast: Current status and future directions.
Mami Iima, Maya Honda, Eric E Sigmund, Ayami Ohno Kishimoto, Masako Kataoka, Kaori Togashi. J Magn Reson Imaging 2020
50
26


Gliomas: diffusion kurtosis MR imaging in grading.
Sofie Van Cauter, Jelle Veraart, Jan Sijbers, Ronald R Peeters, Uwe Himmelreich, Frederik De Keyzer, Stefaan W Van Gool, Frank Van Calenbergh, Steven De Vleeschouwer, Wim Van Hecke,[...]. Radiology 2012
247
12

MR imaging of intravoxel incoherent motions: application to diffusion and perfusion in neurologic disorders.
D Le Bihan, E Breton, D Lallemand, P Grenier, E Cabanis, M Laval-Jeantet. Radiology 1986
12

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
12

Diffusion-weighted imaging improves the diagnostic accuracy of conventional 3.0-T breast MR imaging.
Riham H Ei Khouli, Michael A Jacobs, Sarah D Mezban, Peng Huang, Ihab R Kamel, Katarzyna J Macura, David A Bluemke. Radiology 2010
210
11

Diffusion-weighted breast MRI: Clinical applications and emerging techniques.
Savannah C Partridge, Noam Nissan, Habib Rahbar, Averi E Kitsch, Eric E Sigmund. J Magn Reson Imaging 2017
158
11

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
11


Potential of Noncontrast Magnetic Resonance Imaging With Diffusion-Weighted Imaging in Characterization of Breast Lesions: Intraindividual Comparison With Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Pascal A T Baltzer, Hubert Bickel, Claudio Spick, Georg Wengert, Ramona Woitek, Panagiotis Kapetas, Paola Clauser, Thomas H Helbich, Katja Pinker. Invest Radiol 2018
50
20

Fast and Noninvasive Characterization of Suspicious Lesions Detected at Breast Cancer X-Ray Screening: Capability of Diffusion-weighted MR Imaging with MIPs.
Sebastian Bickelhaupt, Frederik B Laun, Jana Tesdorff, Wolfgang Lederer, Heidi Daniel, Anne Stieber, Stefan Delorme, Heinz-Peter Schlemmer. Radiology 2016
73
13

Parametric diffusion tensor imaging of the breast.
Erez Eyal, Myra Shapiro-Feinberg, Edna Furman-Haran, Dov Grobgeld, Talia Golan, Yacov Itzchak, Raphael Catane, Moshe Papa, Hadassa Degani. Invest Radiol 2012
70
14

Non-Gaussian water diffusion kurtosis imaging of prostate cancer.
Shiteng Suo, Xiaoxi Chen, Lianming Wu, Xiaofei Zhang, Qiuying Yao, Yu Fan, He Wang, Jianrong Xu. Magn Reson Imaging 2014
70
14

Assessment of hepatocellular carcinoma using apparent diffusion coefficient and diffusion kurtosis indices: preliminary experience in fresh liver explants.
Andrew B Rosenkrantz, Eric E Sigmund, Aaron Winnick, Benjamin E Niver, Bradley Spieler, Glyn R Morgan, Cristina H Hajdu. Magn Reson Imaging 2012
77
12

Diffusion kurtosis imaging to assess response to treatment in hypervascular hepatocellular carcinoma.
Satoshi Goshima, Masayuki Kanematsu, Yoshifumi Noda, Hiroshi Kondo, Haruo Watanabe, Kyongtae T Bae. AJR Am J Roentgenol 2015
66
15

Diffusion-Weighted Imaging With Apparent Diffusion Coefficient Mapping for Breast Cancer Detection as a Stand-Alone Parameter: Comparison With Dynamic Contrast-Enhanced and Multiparametric Magnetic Resonance Imaging.
Katja Pinker, Linda Moy, Elizabeth J Sutton, Ritse M Mann, Michael Weber, Sunitha B Thakur, Maxine S Jochelson, Zsuzsanna Bago-Horvath, Elizabeth A Morris, Pascal At Baltzer,[...]. Invest Radiol 2018
81
12

Intravoxel incoherent motion diffusion-weighted MRI at 3.0 T differentiates malignant breast lesions from benign lesions and breast parenchyma.
Louisa Bokacheva, Jennifer B Kaplan, Dilip D Giri, Sujata Patil, Merlin Gnanasigamani, C Gregory Nyman, Joseph O Deasy, Elizabeth A Morris, Sunitha B Thakur. J Magn Reson Imaging 2014
82
12

Meta-analysis of quantitative diffusion-weighted MR imaging in the differential diagnosis of breast lesions.
Xin Chen, Wen-ling Li, Yi-li Zhang, Qian Wu, You-min Guo, Zhi-lan Bai. BMC Cancer 2010
138
10

Global cancer statistics 2018: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries.
Freddie Bray, Jacques Ferlay, Isabelle Soerjomataram, Rebecca L Siegel, Lindsey A Torre, Ahmedin Jemal. CA Cancer J Clin 2018
10

Readout-segmented echo-planar imaging improves the diagnostic performance of diffusion-weighted MR breast examinations at 3.0 T.
Wolfgang Bogner, Katja Pinker-Domenig, Hubert Bickel, Marek Chmelik, Michael Weber, Thomas H Helbich, Siegfried Trattnig, Stephan Gruber. Radiology 2012
149
9

Intravoxel incoherent motion MR imaging for breast lesions: comparison and correlation with pharmacokinetic evaluation from dynamic contrast-enhanced MR imaging.
Chunling Liu, Kun Wang, Queenie Chan, Zaiyi Liu, Jine Zhang, Hui He, Shuixing Zhang, Changhong Liang. Eur Radiol 2016
53
16

Diffusion-weighted imaging of the breast-a consensus and mission statement from the EUSOBI International Breast Diffusion-Weighted Imaging working group.
Pascal Baltzer, Ritse M Mann, Mami Iima, Eric E Sigmund, Paola Clauser, Fiona J Gilbert, Laura Martincich, Savannah C Partridge, Andrew Patterson, Katja Pinker,[...]. Eur Radiol 2020
114
9

Diffusion kurtosis imaging does not improve differentiation performance of breast lesions in a short clinical protocol.
Theresa Palm, Evelyn Wenkel, Sabine Ohlmeyer, Rolf Janka, Michael Uder, Elisabeth Weiland, Sebastian Bickelhaupt, Mark E Ladd, Maxim Zaitsev, Bernhard Hensel,[...]. Magn Reson Imaging 2019
13
69


Breast MRI: guidelines from the European Society of Breast Imaging.
R M Mann, C K Kuhl, K Kinkel, C Boetes. Eur Radiol 2008
436
8

Sensitivity and specificity of unenhanced MR mammography (DWI combined with T2-weighted TSE imaging, ueMRM) for the differentiation of mass lesions.
Pascal A T Baltzer, Matthias Benndorf, Matthias Dietzel, Mieczyslaw Gajda, Oumar Camara, Werner A Kaiser. Eur Radiol 2010
97
8

Detection of non-palpable breast cancer in asymptomatic women by using unenhanced diffusion-weighted and T2-weighted MR imaging: comparison with mammography and dynamic contrast-enhanced MR imaging.
Hidetake Yabuuchi, Yoshio Matsuo, Shunya Sunami, Takeshi Kamitani, Satoshi Kawanami, Taro Setoguchi, Shuji Sakai, Masamitsu Hatakenaka, Makoto Kubo, Eriko Tokunaga,[...]. Eur Radiol 2011
85
9

The value of diffusion kurtosis imaging in assessing pathological complete response to neoadjuvant chemoradiation therapy in rectal cancer: a comparison with conventional diffusion-weighted imaging.
Feixiang Hu, Wei Tang, Yiqun Sun, Dang Wan, Sanjun Cai, Zhen Zhang, Robert Grimm, Xu Yan, Caixia Fu, Tong Tong,[...]. Oncotarget 2017
39
20

Breast Lesions: Diagnosis Using Diffusion Weighted Imaging at 1.5T and 3.0T-Systematic Review and Meta-analysis.
Ruo-Yang Shi, Qiu-Ying Yao, Lian-Ming Wu, Jian-Rong Xu. Clin Breast Cancer 2018
35
22



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.