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



Times Cited
  Times     Co-cited
Similarity


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
60


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
40

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
40

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
34

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
33

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
23

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

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
23

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
34

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
21





Correlation between 3T apparent diffusion coefficient values and grading of invasive breast carcinoma.
Valentina Cipolla, Domiziana Santucci, Daniele Guerrieri, Francesco Maria Drudi, Maria Letizia Meggiorini, Carlo de Felice. Eur J Radiol 2014
35
40

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

FDG PET/CT and diffusion-weighted imaging for breast cancer: prognostic value of maximum standardized uptake values and apparent diffusion coefficient values of the primary lesion.
Masatoyo Nakajo, Yoriko Kajiya, Tomoyo Kaneko, Youichi Kaneko, Takashi Takasaki, Atsushi Tani, Masako Ueno, Chihaya Koriyama, Masayuki Nakajo. Eur J Nucl Med Mol Imaging 2010
84
17

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
17

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

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
31

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
25

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
14

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
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
183
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

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
15

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
25


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
32

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
13

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
13

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
13

Correlation of perfusion parameters on dynamic contrast-enhanced MRI with prognostic factors and subtypes of breast cancers.
Hye Ryoung Koo, Nariya Cho, In Chan Song, Hyeonjin Kim, Jung Min Chang, Ann Yi, Bo La Yun, Woo Kyung Moon. J Magn Reson Imaging 2012
104
13

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
93
13

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
13

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
13

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
13


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
36

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
16

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
11

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
11

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
11

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
11


Apparent diffusion coefficient on 3.0 Tesla magnetic resonance imaging and prognostic factors in breast cancer.
C De Felice, V Cipolla, D Guerrieri, D Santucci, A Musella, L M Porfiri, M L Meggiorini. Eur J Gynaecol Oncol 2014
17
47


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
11

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


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.