A citation-based method for searching scientific literature

Mami Iima, Masako Kataoka, Shotaro Kanao, Natsuko Onishi, Makiko Kawai, Akane Ohashi, Rena Sakaguchi, Masakazu Toi, Kaori Togashi. Radiology 2018
Times Cited: 55







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



Times Cited
  Times     Co-cited
Similarity


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
129
41

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
156
38

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
86
38

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
49
40

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
30

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
30

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
139
27

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
81
25

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
148
23

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
149
21


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
83
21

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
21

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
82
21

Characterization of breast tumors using diffusion kurtosis imaging (DKI).
Dongmei Wu, Guanwu Li, Junxiang Zhang, Shixing Chang, Jiani Hu, Yongming Dai. PLoS One 2014
48
22

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
206
20

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
23
47

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
51
21

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
43
25

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
157
18

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
32
31

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
136
18

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
70
18

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
34
29

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
26
34

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
95
16

Diffusion-weighted MRI in pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.
Raphael Richard, Isabelle Thomassin, Marion Chapellier, Aurélie Scemama, Patricia de Cremoux, Mariana Varna, Sylvie Giacchetti, Marc Espié, Eric de Kerviler, Cedric de Bazelaire. Eur Radiol 2013
63
14


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
68
14

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
33
24


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
126
12

Magnetic resonance (MR) differential diagnosis of breast tumors using apparent diffusion coefficient (ADC) on 1.5-T.
Yoshito Tsushima, Ayako Takahashi-Taketomi, Keigo Endo. J Magn Reson Imaging 2009
91
12

MRI-only lesions: application of diffusion-weighted imaging obviates unnecessary MR-guided breast biopsies.
Claudio Spick, Katja Pinker-Domenig, Margaretha Rudas, Thomas H Helbich, Pascal A Baltzer. Eur Radiol 2014
57
12


ADC mapping of benign and malignant breast tumors.
Reiko Woodhams, Keiji Matsunaga, Shinichi Kan, Hirofumi Hata, Masanori Ozaki, Keiichi Iwabuchi, Masaru Kuranami, Masahiko Watanabe, Kazushige Hayakawa. Magn Reson Med Sci 2005
234
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
523
12

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
180
12

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
26

Breast MRI: guidelines from the European Society of Breast Imaging.
R M Mann, C K Kuhl, K Kinkel, C Boetes. Eur Radiol 2008
421
12

Intravoxel incoherent motion diffusion-weighted MRI for predicting response to neoadjuvant chemotherapy in breast cancer.
Yunju Kim, Sung Hun Kim, Hye Won Lee, Byung Joo Song, Bong Joo Kang, Ahwon Lee, Yoonho Nam. Magn Reson Imaging 2018
22
31

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
74
12

Differentiation Between Luminal-A and Luminal-B Breast Cancer Using Intravoxel Incoherent Motion and Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Hiroko Kawashima, Tosiaki Miyati, Naoki Ohno, Masako Ohno, Masafumi Inokuchi, Hiroko Ikeda, Toshifumi Gabata. Acad Radiol 2017
17
41

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
48
14


Characterization of breast lesions using diffusion kurtosis model-based imaging: An initial experience.
Wei-Ping Zhou, Xing-You Zan, Xiao-Yun Hu, Xiao Liu, Sanjeev Kumar Pitla Sudarshan, Shu-Dong Yang, Yu-Jiang Guo, Xiang-Ming Fang. J Xray Sci Technol 2020
10
70

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
53

A comparative study of the value of amide proton transfer-weighted imaging and diffusion kurtosis imaging in the diagnosis and evaluation of breast cancer.
Nan Meng, Xuejia Wang, Jing Sun, Dongming Han, Yan Bai, Wei Wei, Zhe Wang, Fei Jia, Kaiyu Wang, Meiyun Wang. Eur Radiol 2021
12
58

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
109
10

Assessment of breast lesions with diffusion-weighted MRI: comparing the use of different b values.
Fernanda Philadelpho Arantes Pereira, Gabriela Martins, Eduardo Figueiredo, Marisa Nassar Aidar Domingues, Romeu Cortes Domingues, Lea Mirian Barbosa da Fonseca, Emerson Leandro Gasparetto. AJR Am J Roentgenol 2009
100
10


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.