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List of co-cited articles
222 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
48



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
37

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
37

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
37

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
33

Enhancement parameters on dynamic contrast enhanced breast MRI: do they correlate with prognostic factors and subtypes of breast cancers?
Ji Youn Kim, Sung Hun Kim, Yun Ju Kim, Bong Joo Kang, Yeong Yi An, A Won Lee, Byung Joo Song, Yong Soo Park, Han Bi Lee. Magn Reson Imaging 2015
74
33

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
33

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
33


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
29

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
25



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
25

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
22

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
37

Diagnostic and prognostic value of pretreatment SUV in 18F-FDG/PET in breast cancer: comparison with apparent diffusion coefficient from diffusion-weighted MR imaging.
Shingo Baba, Takuro Isoda, Yasuhiro Maruoka, Yoshiyuki Kitamura, Masayuki Sasaki, Tsuyoshi Yoshida, Hiroshi Honda. J Nucl Med 2014
70
22



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
82
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
18

MR mammography using diffusion-weighted imaging in evaluating breast cancer: a correlation with proliferation index.
Cristina Molinari, Paola Clauser, Rossano Girometti, Anna Linda, Elisa Cimino, Fabio Puglisi, Chiara Zuiani, Massimo Bazzocchi. Radiol Med 2015
21
23

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
20


Potential of Diffusion-Weighted Imaging in the Characterization of Malignant, Benign, and Healthy Breast Tissues and Molecular Subtypes of Breast Cancer.
Uma Sharma, Rani G Sah, Khushbu Agarwal, Rajinder Parshad, Vurthaluru Seenu, Sandeep R Mathur, Smriti Hari, Naranamangalam R Jagannathan. Front Oncol 2016
29
18

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

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
18


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
18

Can diffusion-weighted imaging predict tumor grade and expression of Ki-67 in breast cancer? A multicenter analysis.
Alexey Surov, Paola Clauser, Yun-Woo Chang, Lihua Li, Laura Martincich, Savannah C Partridge, Jin You Kim, Hans Jonas Meyer, Andreas Wienke. Breast Cancer Res 2018
29
18

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
14

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

Journal Club: Diagnostic value of (18)F-FDG PET/CT and MRI in predicting the clinicopathologic subtypes of invasive breast cancer.
Kanae Kawai Miyake, Yuji Nakamoto, Shotaro Kanao, Shiro Tanaka, Tomoharu Sugie, Yoshiki Mikami, Masakazu Toi, Kaori Togashi. AJR Am J Roentgenol 2014
26
15

Invasive breast cancer: correlation of dynamic MR features with prognostic factors.
Botond K Szabó, Peter Aspelin, Maria Kristoffersen Wiberg, Tibor Tot, Beata Boné. Eur Radiol 2003
111
14

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
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
14

Assessment of Ki67 in breast cancer: recommendations from the International Ki67 in Breast Cancer working group.
Mitch Dowsett, Torsten O Nielsen, Roger A'Hern, John Bartlett, R Charles Coombes, Jack Cuzick, Matthew Ellis, N Lynn Henry, Judith C Hugh, Tracy Lively,[...]. J Natl Cancer Inst 2011
14

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
14

Additional Value of Diffusion-Weighted Imaging to Evaluate Prognostic Factors of Breast Cancer: Correlation with the Apparent Diffusion Coefficient.
Eun Kyung Park, Kyu Ran Cho, Bo Kyoung Seo, Ok Hee Woo, Sung Bum Cho, Jeoung Won Bae. Iran J Radiol 2016
21
19

Tumor apparent diffusion coefficient as an imaging biomarker to predict tumor aggressiveness in patients with estrogen-receptor-positive breast cancer.
Hee Jung Shin, So Hee Kim, Hee Jin Lee, Gyungyub Gong, Seunghee Baek, Eun Young Chae, Woo Jung Choi, Joo Hee Cha, Hak Hee Kim. NMR Biomed 2016
30
14

PET/MR in invasive ductal breast cancer: correlation between imaging markers and histological phenotype.
Onofrio Antonio Catalano, Gary Lloyd Horn, Alberto Signore, Carlo Iannace, Maria Lepore, Mark Vangel, Angelo Luongo, Marco Catalano, Constance Lehman, Marco Salvatore,[...]. Br J Cancer 2017
29
14

Vascular characterisation of triple negative breast carcinomas using dynamic MRI.
Sonia P Li, Anwar R Padhani, N Jane Taylor, Mark J Beresford, Mei-Lin W Ah-See, J James Stirling, James A d'Arcy, David J Collins, Andreas Makris. Eur Radiol 2011
58
14

Magnetic resonance imaging features in triple-negative breast cancer: comparison with luminal and HER2-overexpressing tumors.
Melania Costantini, Paolo Belli, Daniela Distefano, Enida Bufi, Marialuisa Di Matteo, Pierluigi Rinaldi, Michela Giuliani, Gianluigi Petrone, Stefano Magno, Lorenzo Bonomo. Clin Breast Cancer 2012
46
14

Intravoxel incoherent motion diffusion-weighted MRI of invasive breast cancer: Correlation with prognostic factors and kinetic features acquired with computer-aided diagnosis.
Sung Eun Song, Kyu Ran Cho, Bo Kyoung Seo, Ok Hee Woo, Kyong Hwa Park, Yo Han Son, Robert Grimm. J Magn Reson Imaging 2019
12
33

Is there a correlation between 3T multiparametric MRI and molecular subtypes of breast cancer?
Stefania Montemezzi, Lucia Camera, Maria Grazia Giri, Alice Pozzetto, Anna Caliò, Gabriele Meliadò, Francesca Caumo, Carlo Cavedon. Eur J Radiol 2018
25
16

ADC at 3.0 T as a noninvasive biomarker for preoperative prediction of Ki67 expression in invasive ductal carcinoma of breast.
Lu Shen, Guoxing Zhou, Tong Tong, Fei Tang, Yi Lin, Jie Zhou, Yibin Wang, Genlin Zong, Lei Zhang. Clin Imaging 2018
18
22


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.