A citation-based method for searching scientific literature

Lu Shen, Guoxing Zhou, Tong Tong, Fei Tang, Yi Lin, Jie Zhou, Yibin Wang, Genlin Zong, Lei Zhang. Clin Imaging 2018
Times Cited: 18







List of co-cited articles
175 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
160
50


Diffusion-weighted MRI characteristics associated with prognostic pathological factors and recurrence risk in invasive ER+/HER2- breast cancers.
Nita Amornsiripanitch, Vicky T Nguyen, Habib Rahbar, Daniel S Hippe, Vijayakrishna K Gadi, Mara H Rendi, Savannah C Partridge. J Magn Reson Imaging 2018
23
38


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
51
33

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
109
33

Differentiation Between Luminal-A and Luminal-B Breast Cancer Using Intravoxel Incoherent Motion and Dynamic Contrast-Enhanced Magnetic Resonance Imaging.
Hiroko Kawashima, Tosiaki Miyati, Naoki Ohno, Masako Ohno, Masafumi Inokuchi, Hiroko Ikeda, Toshifumi Gabata. Acad Radiol 2017
17
35

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
126
33

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
68
33



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
87
27

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
32
27

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
28
27

The role of diffusion weighted imaging as supplement to dynamic contrast enhanced breast MRI: Can it help predict malignancy, histologic grade and recurrence?
Shima Roknsharifi, Michael D C Fishman, Monica D Agarwal, Alexander Brook, Vritti Kharbanda, Vandana Dialani. Acad Radiol 2019
13
38


Intravoxel Incoherent Motion and Quantitative Non-Gaussian Diffusion MR Imaging: Evaluation of the Diagnostic and Prognostic Value of Several Markers of Malignant and Benign Breast Lesions.
Mami Iima, Masako Kataoka, Shotaro Kanao, Natsuko Onishi, Makiko Kawai, Akane Ohashi, Rena Sakaguchi, Masakazu Toi, Kaori Togashi. Radiology 2018
55
27


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
33
27

Diffusion Kurtosis at 3.0T as an in vivo Imaging Marker for Breast Cancer Characterization: Correlation With Prognostic Factors.
Yao Huang, Yan Lin, Wei Hu, Changchun Ma, Weixun Lin, Zhening Wang, Jiahao Liang, Wei Ye, Jiayun Zhao, Renhua Wu. J Magn Reson Imaging 2019
34
27

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
27


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
34
27


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
27


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
22


Diffusional kurtosis imaging: the quantification of non-gaussian water diffusion by means of magnetic resonance imaging.
Jens H Jensen, Joseph A Helpern, Anita Ramani, Hanzhang Lu, Kyle Kaczynski. Magn Reson Med 2005
22

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
30
22

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
22

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
22

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


Apparent diffusion coefficient as a potential surrogate marker for Ki-67 index in mucinous breast carcinoma.
Natsuko Onishi, Shotaro Kanao, Masako Kataoka, Mami Iima, Rena Sakaguchi, Makiko Kawai, Tatsuki R Kataoka, Yoshiki Mikami, Masakazu Toi, Kaori Togashi. J Magn Reson Imaging 2015
32
22

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
89
22

Diffusion MRI of the breast: Current status and future directions.
Mami Iima, Maya Honda, Eric E Sigmund, Ayami Ohno Kishimoto, Masako Kataoka, Kaori Togashi. J Magn Reson Imaging 2020
45
22





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
16

Is there any relationship between adc values of diffusion-weighted imaging and the histopathological prognostic factors of invasive ductal carcinoma?
Hale Aydin, Bahar Guner, Isil Esen Bostanci, Zarife Melda Bulut, Bilgin Kadri Aribas, Lutfi Dogan, Mehmet Ali Gulcelik. Br J Radiol 2018
15
20

Intravoxel incoherent motion (IVIM)-derived parameters in diffusion-weighted MRI: Associations with prognostic factors in invasive ductal carcinoma.
Youn Joo Lee, Sung Hun Kim, Bong Joo Kang, Young Jee Kang, Heesoo Yoo, Jaewan Yoo, Jaeun Lee, Yo Han Son, Robert Grimm. J Magn Reson Imaging 2017
23
16

A Simplified Approach to Measure the Effect of the Microvasculature in Diffusion-weighted MR Imaging Applied to Breast Tumors: Preliminary Results.
Jose R Teruel, Pål E Goa, Torill E Sjøbakk, Agnes Østlie, Hans E Fjøsne, Tone F Bathen. Radiology 2016
24
16

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
157
16


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
16

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
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
91
16


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.