A citation-based method for searching scientific literature

Shangang Liu, Ruimei Ren, Zhaoqiu Chen, Yongsheng Wang, Tingyong Fan, Chengli Li, Pinliang Zhang. J Magn Reson Imaging 2015
Times Cited: 39







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



Times Cited
  Times     Co-cited
Similarity


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
59

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
35

Diffusion-weighted MR imaging: pretreatment prediction of response to neoadjuvant chemotherapy in patients with breast cancer.
Sang Hee Park, Woo Kyung Moon, Nariya Cho, In Chan Song, Jung Min Chang, In-Ae Park, Wonshik Han, Dong-Young Noh. Radiology 2010
189
35

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
30


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
100
28


DW-MRI ADC values can predict treatment response in patients with locally advanced breast cancer undergoing neoadjuvant chemotherapy.
Xi-Ru Li, Liu-Quan Cheng, Mei Liu, Yan-Jun Zhang, Jian-Dong Wang, Ai-Lian Zhang, Xin Song, Jie Li, Yi-Qiong Zheng, Lei Liu. Med Oncol 2012
62
25

Multiparametric magnetic resonance imaging for predicting pathological response after the first cycle of neoadjuvant chemotherapy in breast cancer.
Xia Li, Richard G Abramson, Lori R Arlinghaus, Hakmook Kang, Anuradha Bapsi Chakravarthy, Vandana G Abramson, Jaime Farley, Ingrid A Mayer, Mark C Kelley, Ingrid M Meszoely,[...]. Invest Radiol 2015
98
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
23

Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy.
Craig J Galbán, Bing Ma, Dariya Malyarenko, Martin D Pickles, Kevin Heist, Norah L Henry, Anne F Schott, Colleen H Neal, Nola M Hylton, Alnawaz Rehemtulla,[...]. PLoS One 2015
42
23

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
23

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
69
23


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
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
158
23

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
20

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
20

Locally advanced breast cancer: MR imaging for prediction of response to neoadjuvant chemotherapy--results from ACRIN 6657/I-SPY TRIAL.
Nola M Hylton, Jeffrey D Blume, Wanda K Bernreuter, Etta D Pisano, Mark A Rosen, Elizabeth A Morris, Paul T Weatherall, Constance D Lehman, Gillian M Newstead, Sandra Polin,[...]. Radiology 2012
286
20

Prediction of pathologic response to neoadjuvant chemotherapy in patients with breast cancer using diffusion-weighted imaging and MRS.
Hee Jung Shin, Hyeon-Man Baek, Jin-Hee Ahn, Seunghee Baek, Hyunji Kim, Joo Hee Cha, Hak Hee Kim. NMR Biomed 2012
44
20

Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer.
Lenka Minarikova, Wolfgang Bogner, Katja Pinker, Ladislav Valkovič, Olgica Zaric, Zsuzsanna Bago-Horvath, Rupert Bartsch, Thomas H Helbich, Siegfried Trattnig, Stephan Gruber. Eur Radiol 2017
40
20

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
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
63
17

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
17

Luminal-type breast cancer: correlation of apparent diffusion coefficients with the Ki-67 labeling index.
Naoko Mori, Hideki Ota, Shunji Mugikura, Chiaki Takasawa, Takanori Ishida, Gou Watanabe, Hiroshi Tada, Mika Watanabe, Kei Takase, Shoki Takahashi. Radiology 2015
92
17

Neoadjuvant chemotherapy in breast cancer-response evaluation and prediction of response to treatment using dynamic contrast-enhanced and diffusion-weighted MR imaging.
A Fangberget, L B Nilsen, K H Hole, M M Holmen, O Engebraaten, B Naume, H-J Smith, D R Olsen, T Seierstad. Eur Radiol 2011
102
17

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
47
17

QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies.
Penny F Whiting, Anne W S Rutjes, Marie E Westwood, Susan Mallett, Jonathan J Deeks, Johannes B Reitsma, Mariska M G Leeflang, Jonathan A C Sterne, Patrick M M Bossuyt. Ann Intern Med 2011
17

Assessment of early treatment response to neoadjuvant chemotherapy in breast cancer using non-mono-exponential diffusion models: a feasibility study comparing the baseline and mid-treatment MRI examinations.
Reem Bedair, Andrew N Priest, Andrew J Patterson, Mary A McLean, Martin J Graves, Roido Manavaki, Andrew B Gill, Oshaani Abeyakoon, John R Griffiths, Fiona J Gilbert. Eur Radiol 2017
34
20

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
23
30

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
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

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
15

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
33
18

Correlation of the SUVmax of FDG-PET and ADC values of diffusion-weighted MR imaging with pathologic prognostic factors in breast carcinoma.
Kazuhiro Kitajima, Toshiko Yamano, Kazuhito Fukushima, Yasuo Miyoshi, Seiichi Hirota, Yusuke Kawanaka, Mouri Miya, Hiroshi Doi, Koichiro Yamakado, Shozo Hirota. Eur J Radiol 2016
44
15


Magnetic resonance imaging response monitoring of breast cancer during neoadjuvant chemotherapy: relevance of breast cancer subtype.
Claudette E Loo, Marieke E Straver, Sjoerd Rodenhuis, Sara H Muller, Jelle Wesseling, Marie-Jeanne T F D Vrancken Peeters, Kenneth G A Gilhuijs. J Clin Oncol 2011
190
15

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
58
15




Quantitative apparent diffusion coefficient measurement obtained by 3.0Tesla MRI as a potential noninvasive marker of tumor aggressiveness in breast cancer.
Manuela Durando, Lucas Gennaro, Gene Y Cho, Dilip D Giri, Merlin M Gnanasigamani, Sujata Patil, Elizabeth J Sutton, Joseph O Deasy, Elizabeth A Morris, Sunitha B Thakur. Eur J Radiol 2016
31
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
114
15

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
12

The role of mean diffusivity (MD) as a predictive index of the response to chemotherapy in locally advanced breast cancer: a preliminary study.
Chiara Iacconi, Marco Giannelli, Carolina Marini, Anna Cilotti, Monica Moretti, Paolo Viacava, Eugenia Picano, Andrea Michelotti, Davide Caramella. Eur Radiol 2010
55
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
12


In vivo assessment of ductal carcinoma in situ grade: a model incorporating dynamic contrast-enhanced and diffusion-weighted breast MR imaging parameters.
Habib Rahbar, Savannah C Partridge, Wendy B Demartini, Robert L Gutierrez, Kimberly H Allison, Sue Peacock, Constance D Lehman. Radiology 2012
54
12

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
12

Detection of invasive components in cases of breast ductal carcinoma in situ on biopsy by using apparent diffusion coefficient MR parameters.
Naoko Mori, Hideki Ota, Shunji Mugikura, Chiaki Takasawa, Junya Tominaga, Takanori Ishida, Mika Watanabe, Kei Takase, Shoki Takahashi. Eur Radiol 2013
41
12


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.