A citation-based method for searching scientific literature

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
Times Cited: 56







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



Times Cited
  Times     Co-cited
Similarity


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
78
28

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
28

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
32

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
25


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
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
84
21

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
21

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
74
21

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
54
22

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
21

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
19

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
25

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
17

Quantitative apparent diffusion coefficient as a noninvasive imaging biomarker for the differentiation of invasive breast cancer and ductal carcinoma in situ.
Hubert Bickel, Katja Pinker-Domenig, Wolfgang Bogner, Claudio Spick, Zsuzsanna Bagó-Horváth, Michael Weber, Thomas Helbich, Pascal Baltzer. Invest Radiol 2015
62
17

Breast MRI: guidelines from the European Society of Breast Imaging.
R M Mann, C K Kuhl, K Kinkel, C Boetes. Eur Radiol 2008
429
17

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
49
20

Diffusion-weighted MRI of breast lesions: a prospective clinical investigation of the quantitative imaging biomarker characteristics of reproducibility, repeatability, and diagnostic accuracy.
Claudio Spick, Hubert Bickel, Katja Pinker, Maria Bernathova, Panagiotis Kapetas, Ramona Woitek, Paola Clauser, Stephan H Polanec, Margaretha Rudas, Rupert Bartsch,[...]. NMR Biomed 2016
34
29

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
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
16

Breast MRI: EUSOBI recommendations for women's information.
Ritse M Mann, Corinne Balleyguier, Pascal A Baltzer, Ulrich Bick, Catherine Colin, Eleanor Cornford, Andrew Evans, Eva Fallenberg, Gabor Forrai, Michael H Fuchsjäger,[...]. Eur Radiol 2015
209
16

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
16

Diffusion-weighted MRI Findings Predict Pathologic Response in Neoadjuvant Treatment of Breast Cancer: The ACRIN 6698 Multicenter Trial.
Savannah C Partridge, Zheng Zhang, David C Newitt, Jessica E Gibbs, Thomas L Chenevert, Mark A Rosen, Patrick J Bolan, Helga S Marques, Justin Romanoff, Lisa Cimino,[...]. Radiology 2018
96
16

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
16

Region of interest demarcation for quantification of the apparent diffusion coefficient in breast lesions and its interobserver variability.
Luísa Nogueira, Sofia Brandão, Eduarda Matos, Rita Gouveia Nunes, Hugo Alexandre Ferreira, Joana Loureiro, Isabel Ramos. Diagn Interv Radiol 2015
27
33

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
14


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
547
14

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
14

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
14

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
14

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
14

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
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

Test-retest repeatability and reproducibility of ADC measures by breast DWI: Results from the ACRIN 6698 trial.
David C Newitt, Zheng Zhang, Jessica E Gibbs, Savannah C Partridge, Thomas L Chenevert, Mark A Rosen, Patrick J Bolan, Helga S Marques, Sheye Aliu, Wen Li,[...]. J Magn Reson Imaging 2019
45
17


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
12





Characterization of breast tumors using diffusion kurtosis imaging (DKI).
Dongmei Wu, Guanwu Li, Junxiang Zhang, Shixing Chang, Jiani Hu, Yongming Dai. PLoS One 2014
49
12

Role of the Apparent Diffusion Coefficient in the Prediction of Response to Neoadjuvant Chemotherapy in Patients With Locally Advanced Breast Cancer.
Enida Bufi, Paolo Belli, Melania Costantini, Antonio Cipriani, Marialuisa Di Matteo, Angelo Bonatesta, Gianluca Franceschini, Daniela Terribile, Antonino Mulé, Luigia Nardone,[...]. Clin Breast Cancer 2015
32
18

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
10

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
10


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
64
10

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
38
15

Tumour ADC measurements in rectal cancer: effect of ROI methods on ADC values and interobserver variability.
Doenja M J Lambregts, Geerard L Beets, Monique Maas, Luís Curvo-Semedo, Alfons G H Kessels, Thomas Thywissen, Regina G H Beets-Tan. Eur Radiol 2011
180
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.