A citation-based method for searching scientific literature

Sibel Kul, Aysegul Cansu, Etem Alhan, Hasan Dinc, Gurbuz Gunes, Abdulkadir Reis. AJR Am J Roentgenol 2011
Times Cited: 143







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



Times Cited
  Times     Co-cited
Similarity


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
30

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
29

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
25

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
22

Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.
Hidetake Yabuuchi, Yoshio Matsuo, Takashi Okafuji, Takeshi Kamitani, Hiroyasu Soeda, Taro Setoguchi, Shuji Sakai, Masamitsu Hatakenaka, Makoto Kubo, Noriaki Sadanaga,[...]. J Magn Reson Imaging 2008
131
21

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
185
19

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
237
18

Dynamic breast MR imaging: are signal intensity time course data useful for differential diagnosis of enhancing lesions?
C K Kuhl, P Mielcareck, S Klaschik, C Leutner, E Wardelmann, J Gieseke, H H Schild. Radiology 1999
888
17

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
17

Improved diagnostic accuracy of breast MRI through combined apparent diffusion coefficients and dynamic contrast-enhanced kinetics.
S C Partridge, H Rahbar, R Murthy, X Chai, B F Kurland, W B DeMartini, C D Lehman. Magn Reson Med 2011
77
22

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
123
17

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
17

Apparent diffusion coefficient values for discriminating benign and malignant breast MRI lesions: effects of lesion type and size.
Savannah C Partridge, Christiane D Mullins, Brenda F Kurland, Michael D Allain, Wendy B DeMartini, Peter R Eby, Constance D Lehman. AJR Am J Roentgenol 2010
109
16

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
15

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
15

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
15

Improved diagnostic accuracy with multiparametric magnetic resonance imaging of the breast using dynamic contrast-enhanced magnetic resonance imaging, diffusion-weighted imaging, and 3-dimensional proton magnetic resonance spectroscopic imaging.
Katja Pinker, Wolfgang Bogner, Pascal Baltzer, Stephan Gruber, Hubert Bickel, Benedikt Brueck, Siegfried Trattnig, Michael Weber, Peter Dubsky, Zsuzsanna Bago-Horvath,[...]. Invest Radiol 2014
84
17


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

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
14

Combined reading of Contrast Enhanced and Diffusion Weighted Magnetic Resonance Imaging by using a simple sum score.
Anja Baltzer, Matthias Dietzel, Clemens G Kaiser, Pascal A Baltzer. Eur Radiol 2016
56
25


The role of diffusion-weighted imaging and the apparent diffusion coefficient (ADC) values for breast tumors.
Mi Jung Park, Eun Suk Cha, Bong Joo Kang, Yon Kwon Ihn, Jun Hyun Baik. Korean J Radiol 2007
122
13

Combined contrast-enhanced magnetic resonance and diffusion-weighted imaging reading adapted to the "Breast Imaging Reporting and Data System" for multiparametric 3-T imaging of breast lesions.
K Pinker, H Bickel, T H Helbich, S Gruber, P Dubsky, U Pluschnig, M Rudas, Z Bago-Horvath, M Weber, S Trattnig,[...]. Eur Radiol 2013
75
17

Non-mass-like enhancement on contrast-enhanced breast MR imaging: lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.
Hidetake Yabuuchi, Yoshio Matsuo, Takeshi Kamitani, Taro Setoguchi, Takashi Okafuji, Hiroyasu Soeda, Shuji Sakai, Masamitsu Hatakenaka, Makoto Kubo, Eriko Tokunaga,[...]. Eur J Radiol 2010
82
15

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

Diagnostic performance of ADC for Non-mass-like breast lesions on MR imaging.
Tsugumi Imamura, Ichiro Isomoto, Eijun Sueyoshi, Hiroshi Yano, Tatsuya Uga, Kuniko Abe, Tomayoshi Hayashi, Sumihisa Honda, Takuma Yamaguchi, Masataka Uetani. Magn Reson Med Sci 2010
51
25


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
12

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
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
63
19


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
12

Diffusion-weighted imaging in breast cancer: relationship between apparent diffusion coefficient and tumour aggressiveness.
M Costantini, P Belli, P Rinaldi, E Bufi, G Giardina, G Franceschini, G Petrone, L Bonomo. Clin Radiol 2010
94
11

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
11

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
93
11

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
230
11


Diffusion-weighted magnetic resonance imaging of breast lesions: first experiences at 3 T.
Gladys G Lo, Victor Ai, John K F Chan, K W Li, Polly S Y Cheung, T T Wong, Micheal Ma, Raymond Lee, Daisy Chien. J Comput Assist Tomogr 2009
65
16

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
11

Diffusion-weighted imaging of mucinous carcinoma of the breast: evaluation of apparent diffusion coefficient and signal intensity in correlation with histologic findings.
Reiko Woodhams, Satoko Kakita, Hirofumi Hata, Keiichi Iwabuchi, Shigeaki Umeoka, Carolyn E Mountford, Hiroto Hatabu. AJR Am J Roentgenol 2009
117
11

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
11

Differential diagnosis of mammographically and clinically occult breast lesions on diffusion-weighted MRI.
Savannah C Partridge, Wendy B Demartini, Brenda F Kurland, Peter R Eby, Steven W White, Constance D Lehman. J Magn Reson Imaging 2010
114
10

Detecting breast cancer with non-contrast MR imaging: combining diffusion-weighted and STIR imaging.
Seiko Kuroki-Suzuki, Yoshifumi Kuroki, Katsuhiro Nasu, Shigeru Nawano, Noriyuki Moriyama, Masatoshi Okazaki. Magn Reson Med Sci 2007
90
11

Diagnostic architectural and dynamic features at breast MR imaging: multicenter study.
Mitchell D Schnall, Jeffrey Blume, David A Bluemke, Gia A DeAngelis, Nanette DeBruhl, Steven Harms, Sylvia H Heywang-Köbrunner, Nola Hylton, Christiane K Kuhl, Etta D Pisano,[...]. Radiology 2006
328
10

Diagnostic efficacy of the diffusion weighted imaging in the characterization of different types of breast lesions.
Sibel Kul, Ilker Eyuboglu, Aysegul Cansu, Etem Alhan. J Magn Reson Imaging 2014
25
40

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
9

Quantitative diffusion weighted imaging for differentiation of benign and malignant breast lesions: the influence of the choice of b-values.
Nicky H G M Peters, Koen L Vincken, Maurice A A J van den Bosch, Peter R Luijten, Willem P Th M Mali, Lambertus W Bartels. J Magn Reson Imaging 2010
68
13

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
9

Magnetic resonance imaging of the breast: recommendations from the EUSOMA working group.
Francesco Sardanelli, Carla Boetes, Bettina Borisch, Thomas Decker, Massimo Federico, Fiona J Gilbert, Thomas Helbich, Sylvia H Heywang-Köbrunner, Werner A Kaiser, Michael J Kerin,[...]. Eur J Cancer 2010
551
9


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.