A citation-based method for searching scientific literature

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
Times Cited: 525







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



Times Cited
  Times     Co-cited
Similarity


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
22

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
209
20

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
18

Diffusion-weighted imaging of malignant breast tumors: the usefulness of apparent diffusion coefficient (ADC) value and ADC map for the detection of malignant breast tumors and evaluation of cancer extension.
Reiko Woodhams, Keiji Matsunaga, Keiichi Iwabuchi, Shinichi Kan, Hirofumi Hata, Masaru Kuranami, Masahiko Watanabe, Kazushige Hayakawa. J Comput Assist Tomogr 2005
229
17

Quantitative diffusion imaging in breast cancer: a clinical prospective study.
Erika Rubesova, Anne-Sophie Grell, Viviane De Maertelaer, Thierry Metens, Shih-Li Chao, Marc Lemort. J Magn Reson Imaging 2006
184
15

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
101
15

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
15


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
14

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
14

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
14

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
84
15

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
147
13

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
130
13

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
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
235
12

In vivo diffusion-weighted MRI of the breast: potential for lesion characterization.
Shantanu Sinha, Flora Anne Lucas-Quesada, Usha Sinha, Nanette DeBruhl, Lawrence W Bassett. J Magn Reson Imaging 2002
188
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
60
18

Contribution of diffusion-weighted imaging to dynamic contrast-enhanced MRI in the characterization of breast tumors.
Sibel Kul, Aysegul Cansu, Etem Alhan, Hasan Dinc, Gurbuz Gunes, Abdulkadir Reis. AJR Am J Roentgenol 2011
140
11

Diffusion-weighted MRI in the body: applications and challenges in oncology.
Dow-Mu Koh, David J Collins. AJR Am J Roentgenol 2007
11


Relation between cancer cellularity and apparent diffusion coefficient values using diffusion-weighted magnetic resonance imaging in breast cancer.
Miho I Yoshikawa, Shozo Ohsumi, Shigenori Sugata, Masaaki Kataoka, Shigemitsu Takashima, Teruhito Mochizuki, Hirohiko Ikura, Yutaka Imai. Radiat Med 2008
104
11

Diffusion-weighted imaging of breast lesions: Region-of-interest placement and different ADC parameters influence apparent diffusion coefficient values.
Hubert Bickel, Katja Pinker, Stephan Polanec, Heinrich Magometschnigg, Georg Wengert, Claudio Spick, Wolfgang Bogner, Zsuzsanna Bago-Horvath, Thomas H Helbich, Pascal Baltzer. Eur Radiol 2017
56
19

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
108
11

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
10

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
154
10

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
141
10

Utility of Diffusion-weighted Imaging to Decrease Unnecessary Biopsies Prompted by Breast MRI: A Trial of the ECOG-ACRIN Cancer Research Group (A6702).
Habib Rahbar, Zheng Zhang, Thomas L Chenevert, Justin Romanoff, Averi E Kitsch, Lucy G Hanna, Sara M Harvey, Linda Moy, Wendy B DeMartini, Basak Dogan,[...]. Clin Cancer Res 2019
44
22

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
11

Apparent diffusion coefficients of breast tumors: clinical application.
Masamitsu Hatakenaka, Hiroyasu Soeda, Hidetake Yabuuchi, Yoshio Matsuo, Takeshi Kamitani, Yoshinao Oda, Masazumi Tsuneyoshi, Hiroshi Honda. Magn Reson Med Sci 2008
162
9


Characterization of breast masses as benign or malignant at 3.0T MRI with whole-lesion histogram analysis of the apparent diffusion coefficient.
Shiteng Suo, Kebei Zhang, Mengqiu Cao, Xinjun Suo, Jia Hua, Xiaochuan Geng, Jie Chen, Zhiguo Zhuang, Xiang Ji, Qing Lu,[...]. J Magn Reson Imaging 2016
80
11

Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.
Anwar R Padhani, Guoying Liu, Dow Mu Koh, Thomas L Chenevert, Harriet C Thoeny, Taro Takahara, Andrew Dzik-Jurasz, Brian D Ross, Marc Van Cauteren, David Collins,[...]. Neoplasia 2009
9

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
92
9

Diffusion-weighted imaging of the breast: principles and clinical applications.
Reiko Woodhams, Saadallah Ramadan, Peter Stanwell, Satoko Sakamoto, Hirofumi Hata, Masanori Ozaki, Shinichi Kan, Yusuke Inoue. Radiographics 2011
121
9

Diffusion weighted imaging in breast MRI: comparison of two different pulse sequences.
Evelyn Wenkel, Christian Geppert, Ruediger Schulz-Wendtland, Michael Uder, Berthold Kiefer, Werner Bautz, Rolf Janka. Acad Radiol 2007
92
8

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
89
8

Diffusion tensor magnetic resonance imaging of the breast: a pilot study.
Pascal A T Baltzer, Anja Schäfer, Matthias Dietzel, David Grässel, Mieczyslaw Gajda, Oumar Camara, Werner A Kaiser. Eur Radiol 2011
72
11

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
95
8

Diffusion-Weighted Imaging in 3.0 Tesla Breast MRI: Diagnostic Performance and Tumor Characterization Using Small Subregions vs. Whole Tumor Regions of Interest.
Otso Arponen, Mazen Sudah, Amro Masarwah, Mikko Taina, Suvi Rautiainen, Mervi Könönen, Reijo Sironen, Veli-Matti Kosma, Anna Sutela, Juhana Hakumäki,[...]. PLoS One 2015
46
17


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
8

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
127
8

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
53
15

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
8

Usefulness of diffusion-weighted MRI with echo-planar technique in the evaluation of cellularity in gliomas.
T Sugahara, Y Korogi, M Kochi, I Ikushima, Y Shigematu, T Hirai, T Okuda, L Liang, Y Ge, Y Komohara,[...]. J Magn Reson Imaging 1999
782
8

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
8

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
72
9

Diffusion changes precede size reduction in neoadjuvant treatment of breast cancer.
Martin D Pickles, Peter Gibbs, Martin Lowry, Lindsay W Turnbull. Magn Reson Imaging 2006
293
7

Diffusion tensor MRI: preliminary anisotropy measures and mapping of breast tumors.
Savannah C Partridge, Ali Ziadloo, Revathi Murthy, Steven W White, Sue Peacock, Peter R Eby, Wendy B DeMartini, Constance D Lehman. J Magn Reson Imaging 2010
81
8


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.