A citation-based method for searching scientific literature

Laura Martincich, Veronica Deantoni, Ilaria Bertotto, Stefania Redana, Franziska Kubatzki, Ivana Sarotto, Valentina Rossi, Michele Liotti, Riccardo Ponzone, Massimo Aglietta, Daniele Regge, Filippo Montemurro. Eur Radiol 2012
Times Cited: 163







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



Times Cited
  Times     Co-cited
Similarity



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
49


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
29


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
25

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
22



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
19

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
19

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
56
33

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
18

Triple-negative breast cancer: correlation between MR imaging and pathologic findings.
Takayoshi Uematsu, Masako Kasami, Sachiko Yuen. Radiology 2009
216
18

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
18

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
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
183
15

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

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
14

Radiogenomic analysis of breast cancer: luminal B molecular subtype is associated with enhancement dynamics at MR imaging.
Maciej A Mazurowski, Jing Zhang, Lars J Grimm, Sora C Yoon, James I Silber. Radiology 2014
144
14

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
14

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
13


Diffusion magnetic resonance imaging in breast cancer characterisation: correlations between the apparent diffusion coefficient and major prognostic factors.
Paolo Belli, Melania Costantini, Enida Bufi, Giuseppe Giovanni Giardina, Pierluigi Rinaldi, Gianluca Franceschini, Lorenzo Bonomo. Radiol Med 2015
31
41

MR Imaging Radiomics Signatures for Predicting the Risk of Breast Cancer Recurrence as Given by Research Versions of MammaPrint, Oncotype DX, and PAM50 Gene Assays.
Hui Li, Yitan Zhu, Elizabeth S Burnside, Karen Drukker, Katherine A Hoadley, Cheng Fan, Suzanne D Conzen, Gary J Whitman, Elizabeth J Sutton, Jose M Net,[...]. Radiology 2016
276
13

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
12

Correlations between apparent diffusion coefficient values and prognostic factors of breast cancer.
Takeshi Kamitani, Yoshio Matsuo, Hidetake Yabuuchi, Nobuhiro Fujita, Michinobu Nagao, Mikako Jinnouchi, Masato Yonezawa, Yuzo Yamasaki, Eriko Tokunaga, Makoto Kubo,[...]. Magn Reson Med Sci 2013
44
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
82
14

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

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
12

Apparent diffusion coefficient value in invasive ductal carcinoma at 3.0 Tesla: is it correlated with prognostic factors?
Inanc Guvenc, Sinan Akay, Selami Ince, Ramazan Yildiz, Zafer Kilbas, Fahrettin G Oysul, Mustafa Tasar. Br J Radiol 2016
16
75

Identification of intrinsic imaging phenotypes for breast cancer tumors: preliminary associations with gene expression profiles.
Ahmed Bilal Ashraf, Dania Daye, Sara Gavenonis, Carolyn Mies, Michael Feldman, Mark Rosen, Despina Kontos. Radiology 2014
98
12


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
38

Differences in morphological features and minimum apparent diffusion coefficient values among breast cancer subtypes using 3-tesla MRI.
Fumi Kato, Kohsuke Kudo, Hiroko Yamashita, Jeff Wang, Mitsuchika Hosoda, Kanako C Hatanaka, Rie Mimura, Noriko Oyama-Manabe, Hiroki Shirato. Eur J Radiol 2016
25
48

Ki67 index, HER2 status, and prognosis of patients with luminal B breast cancer.
Maggie C U Cheang, Stephen K Chia, David Voduc, Dongxia Gao, Samuel Leung, Jacqueline Snider, Mark Watson, Sherri Davies, Philip S Bernard, Joel S Parker,[...]. J Natl Cancer Inst 2009
11

Detection of non-palpable breast cancer in asymptomatic women by using unenhanced diffusion-weighted and T2-weighted MR imaging: comparison with mammography and dynamic contrast-enhanced MR imaging.
Hidetake Yabuuchi, Yoshio Matsuo, Shunya Sunami, Takeshi Kamitani, Satoshi Kawanami, Taro Setoguchi, Shuji Sakai, Masamitsu Hatakenaka, Makoto Kubo, Eriko Tokunaga,[...]. Eur Radiol 2011
85
12

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
11

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 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
39
28

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
14

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
212
11

Molecular portraits of human breast tumours.
C M Perou, T Sørlie, M B Eisen, M van de Rijn, S S Jeffrey, C A Rees, J R Pollack, D T Ross, H Johnsen, L A Akslen,[...]. Nature 2000
11

Magnetic resonance imaging texture analysis classification of primary breast cancer.
S A Waugh, C A Purdie, L B Jordan, S Vinnicombe, R A Lerski, P Martin, A M Thompson. Eur Radiol 2016
117
11

MRI phenotype of breast cancer: Kinetic assessment for molecular subtypes.
Eric Blaschke, Hiroyuki Abe. J Magn Reson Imaging 2015
50
22

Breast cancer molecular subtype classifier that incorporates MRI features.
Elizabeth J Sutton, Brittany Z Dashevsky, Jung Hun Oh, Harini Veeraraghavan, Aditya P Apte, Sunitha B Thakur, Elizabeth A Morris, Joseph O Deasy. J Magn Reson Imaging 2016
78
14

Quantitative MRI radiomics in the prediction of molecular classifications of breast cancer subtypes in the TCGA/TCIA data set.
Hui Li, Yitan Zhu, Elizabeth S Burnside, Erich Huang, Karen Drukker, Katherine A Hoadley, Cheng Fan, Suzanne D Conzen, Margarita Zuley, Jose M Net,[...]. NPJ Breast Cancer 2016
191
11

Diffusion-weighted imaging (DWI) with apparent diffusion coefficient (ADC) mapping as a quantitative imaging biomarker for prediction of immunohistochemical receptor status, proliferation rate, and molecular subtypes of breast cancer.
Joao V Horvat, Blanca Bernard-Davila, Thomas H Helbich, Michelle Zhang, Elizabeth A Morris, Sunitha B Thakur, R Elena Ochoa-Albiztegui, Doris Leithner, Maria A Marino, Pascal A Baltzer,[...]. J Magn Reson Imaging 2019
38
28

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
30

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