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Cited by in CrossRef
For: Li ZP, Meng QF, Sun CH, Xu DS, Fan M, Yang XF, Chen DY. Tumor angiogenesis and dynamic CT in colorectal carcinoma: Radiologic-pathologic correlation. World J Gastroenterol 2005; 11(9): 1287-1291 [PMID: 15761965 DOI: 10.3748/wjg.v11.i9.1287]
URL: https://www.wjgnet.com/1007-9327/full/v11/i9/1287.htm
Number Citing Articles
1
Balaji Ganeshan, Katherine Burnand, Rupert Young, Chris Chatwin, Kenneth Miles. Dynamic Contrast-Enhanced Texture Analysis of the LiverInvestigative Radiology 2011; 46(3): 160 doi: 10.1097/RLI.0b013e3181f8e8a2
2
Martin Hansen, Rikke Norling, Carsten Lauridsen, Eva Fallentin, Lene Bæksgaard, Klaus Kofoed, Lars Svendsen, Michael Nielsen. Computed Tomography (CT) Perfusion in Abdominal Cancer: Technical AspectsDiagnostics 2013; 3(2): 261 doi: 10.3390/diagnostics3020261
3
Surabhi Bajpai, Dushyant V. Sahani, Avinash Kambadakone. Textbook of Gastrointestinal Radiology, 2-Volume Set2015; : 1230 doi: 10.1016/B978-1-4557-5117-4.00070-2
4
Neel Patel, Adrian L Harris, Fergus V Gleeson, Katherine A Vallis. Clinical imaging of tumor angiogenesisFuture Oncology 2012; 8(11): 1443 doi: 10.2217/fon.12.136
5
Jin Woong Kim, Yong Yeon Jeong, Nam Kyu Chang, Suk Hee Heo, Sang Soo Shin, Jae Hyuk Lee, Young Hoe Hur, Heoung Keun Kang. Perfusion CT in Colorectal Cancer: Comparison of Perfusion Parameters with Tumor Grade and Microvessel DensityKorean Journal of Radiology 2012; 13(Suppl 1): S89 doi: 10.3348/kjr.2012.13.S1.S89
6
Hongliang Sun, Yanyan Xu, Qiang Yang, Wu Wang. Assessment of Tumor Grade and Angiogenesis in Colorectal CancerAcademic Radiology 2014; 21(6): 750 doi: 10.1016/j.acra.2014.02.011
7
Vicky Goh, Anwar R Padhani, Shahnawaz Rasheed. Functional imaging of colorectal cancer angiogenesisThe Lancet Oncology 2007; 8(3): 245 doi: 10.1016/S1470-2045(07)70075-X
8
Rachel Schor-Bardach, David C. Alsop, Ivan Pedrosa, Stephanie A. Solazzo, Xiaoen Wang, Robert P. Marquis, Michael B. Atkins, Meredith Regan, Sabina Signoretti, Robert E. Lenkinski, S. Nahum Goldberg. Does Arterial Spin-labeling MR Imaging–measured Tumor Perfusion Correlate with Renal Cell Cancer Response to Antiangiogenic Therapy in a Mouse Model?Radiology 2009; 251(3): 731 doi: 10.1148/radiol.2521081059
9
Huan Zhang, Zilai Pan, Lianjun Du, Chao Yan, Bei Ding, Qi Song, Huawei Ling, Kemin Chen. Advanced Gastric Cancer and Perfusion Imaging Using a Multidetector Row Computed Tomography: Correlation with Prognostic DeterminantsKorean Journal of Radiology 2008; 9(2): 119 doi: 10.3348/kjr.2008.9.2.119
10
Jin Yao, Zhi-gang Yang, Hui-jiao Chen, Tian-wu Chen, Juan Huang. Gastric adenocarcinoma: can perfusion CT help to noninvasively evaluate tumor angiogenesis?Abdominal Imaging 2011; 36(1): 15 doi: 10.1007/s00261-010-9609-5
11
Sahande Elagoz, Reyhan Egilmez, Ayhan Koyuncu, Ahmet Muslehiddinoglu, Sema Arici. The intratumoral microvessel density and expression of bFGF and nm23-Hl in colorectal cancerPathology & Oncology Research 2006; 12(1): 21 doi: 10.1007/BF02893427
12
Vicky Goh, Manuel Rodriguez-Justo, Alec Engledow, Manu Shastry, Raymondo Endozo, Jacqui Peck, Marie Meagher, Stuart A. Taylor, Steve Halligan, Ashley M. Groves. Assessment of the metabolic flow phenotype of primary colorectal cancer: correlations with microvessel density are influenced by the histological scoring methodEuropean Radiology 2012; 22(8): 1687 doi: 10.1007/s00330-012-2423-4
13
R. García Figueiras, A.R. Padhani, J.C. Vilanova, V. Goh, C. Villalba Martín. Imagen funcional tumoral. Parte 1Radiología 2010; 52(2): 115 doi: 10.1016/j.rx.2009.12.008
14
K. A. Miles, R. E. Williams, D. Yu, M. R. Griffiths. Demonstrating Intertumoural Differences in Vascular-Metabolic Phenotype with Dynamic Contrast-Enhanced CT-PETInternational Journal of Molecular Imaging 2011; 2011: 1 doi: 10.1155/2011/679473
15
M. J. van Amerongen, A. M. Vos, W. van der Woude, I. D. Nagtegaal, J. H. W. de Wilt, J. J. Fütterer, J. J. Hermans, Pascal A. T. Baltzer. Does perfusion computed tomography correlate to pathology in colorectal liver metastases?PLOS ONE 2021; 16(1): e0245764 doi: 10.1371/journal.pone.0245764
16
Chang Min Park, Jin Mo Goo, Hyun Ju Lee, Min A Kim, Hyo-Cheol Kim, Kwang Gi Kim, Chang Hyun Lee, Jung-Gi Im. FN13762 Murine Breast Cancer: Region-by-Region Correlation of First-Pass Perfusion CT Indexes with Histologic Vascular ParametersRadiology 2009; 251(3): 721 doi: 10.1148/radiol.2513081215
17
U.I. Attenberger, L.R. Pilz, J.N. Morelli, D. Hausmann, F. Doyon, R. Hofheinz, P. Kienle, S. Post, H.J. Michaely, S.O. Schoenberg, D.J. Dinter. Multi-parametric MRI of rectal cancer – Do quantitative functional MR measurements correlate with radiologic and pathologic tumor stages?European Journal of Radiology 2014; 83(7): 1036 doi: 10.1016/j.ejrad.2014.03.012
18
Zongqiong Sun, Xiaofang Cheng, Yuxi Ge, Lin Shao, Yinghua Xuan, Gen Yan. An application study of low-dose computed tomography perfusion imaging for evaluation of the efficacy of neoadjuvant chemotherapy for advanced gastric adenocarcinomaGastric Cancer 2018; 21(3): 413 doi: 10.1007/s10120-017-0763-0
19
A. Djuric-Stefanovic, Dj. Saranovic, D. Masulovic, A. Ivanovic, P. Pesko. Comparison between the deconvolution and maximum slope 64-MDCT perfusion analysis of the esophageal cancer: Is conversion possible?European Journal of Radiology 2013; 82(10): 1716 doi: 10.1016/j.ejrad.2013.05.038
20
Vicky Goh. Colorectal Cancer2009; : 183 doi: 10.1007/978-1-4020-9545-0_12
21
R. García Figueiras, A.R. Padhani, J.C. Vilanova Busquets, V. Goh, C. Villalba Martín. Functional imaging of tumors. Part 1Radiología (English Edition) 2010; 52(2): 115 doi: 10.1016/S2173-5107(10)70008-2
22
Yan Chen, Jin Zhang, Jingrui Dai, Xiaoli Feng, Haizhen Lu, Chunwu Zhou. Angiogenesis of renal cell carcinoma: perfusion CT findingsAbdominal Imaging 2010; 35(5): 622 doi: 10.1007/s00261-009-9565-0
23
Guang-Yao Wu, Prasanna Ghimire. Perfusion computed tomography in colorectal cancer: Protocols, clinical applications and emerging trendsWorld Journal of Gastroenterology 2009; 15(26): 3228-3231 doi: 10.3748/wjg.15.3228
24
Fei Shao, Xiuxiu Lai, Lulu Tong, Linxiao Li, Da Ye, Linlin Jin, Chunyan Xu. Correlation between color doppler flow pattern and molecular biology in elderly patients with colon cancerBMC Gastroenterology 2023; 23(1) doi: 10.1186/s12876-023-02870-9
25
Massimo Bellomi, Giuseppe Petralia, Angelica Sonzogni, Maria Giulia Zampino, Andrea Rocca. CT Perfusion for the Monitoring of Neoadjuvant Chemotherapy and Radiation Therapy in Rectal Carcinoma: Initial ExperienceRadiology 2007; 244(2): 486 doi: 10.1148/radiol.2442061189
26
K.A. Miles. Molecular imaging with dynamic contrast-enhanced computed tomographyClinical Radiology 2010; 65(7): 549 doi: 10.1016/j.crad.2010.04.007
27
Nyree Griffin, Vicky Goh. Functional imaging of the bowelAbdominal Imaging 2013; 38(6): 1203 doi: 10.1007/s00261-013-0030-8
28
M. Bellomi, S. Viotti, L. Preda, G. D’Andrea, L. Bonello, G. Petralia. Perfusion CT in solid body-tumours part II. Clinical applications and future developmentLa radiologia medica 2010; 115(6): 858 doi: 10.1007/s11547-010-0545-9
29
Jin Yao, Zhi-gang Yang, Tian-wu Chen, Yuan Li, Lin Yang. Perfusion changes in gastric adenocarcinoma: evaluation with 64-section MDCTAbdominal Imaging 2010; 35(2): 195 doi: 10.1007/s00261-009-9503-1
30
Ya-Wen Chen, Huay-Ben Pan, Hui-Hwa Tseng, Yu-Ting Hung, Jer-Shyung Huang, Chen-Pin Chou. Assessment of Blood Flow in Hepatocellular Carcinoma: Correlations of Computed Tomography Perfusion Imaging and Circulating Angiogenic FactorsInternational Journal of Molecular Sciences 2013; 14(9): 17536 doi: 10.3390/ijms140917536
31
Martin Lundsgaard Hansen, Eva Fallentin, Carsten Lauridsen, Ian Law, Birgitte Federspiel, Lene Bæksgaard, Lars Bo Svendsen, Michael Bachmann Nielsen, Ramasamy Paulmurugan. Computed Tomography (CT) Perfusion as an Early Predictive Marker for Treatment Response to Neoadjuvant Chemotherapy in Gastroesophageal Junction Cancer and Gastric Cancer - A Prospective StudyPLoS ONE 2014; 9(5): e97605 doi: 10.1371/journal.pone.0097605
32
Alessia Tognolini, Rachel Schor-Bardach, Oleg S. Pianykh, Carol J. Wilcox, Vassilios Raptopoulos, S. Nahum Goldberg. Body Tumor CT Perfusion Protocols: Optimization of Acquisition Scan Parameters in a Rat Tumor ModelRadiology 2009; 251(3): 712 doi: 10.1148/radiol.2511080410
33
Laurent Dercle, Lin Lu, Philip Lichtenstein, Hao Yang, Deling Wang, Jianguo Zhu, Feiyun Wu, Hubert Piessevaux, Lawrence H. Schwartz, Binsheng Zhao. Impact of Variability in Portal Venous Phase Acquisition Timing in Tumor Density Measurement and Treatment Response Assessment: Metastatic Colorectal Cancer as a ParadigmJCO Clinical Cancer Informatics 2017; (1): 1 doi: 10.1200/CCI.17.00108
34
Masahiro Okada, Tonsok Kim, Takamichi Murakami. Hepatocellular nodules in liver cirrhosis: state of the art CT evaluation (perfusion CT/volume helical shuttle scan/dual-energy CT, etc.)Abdominal Imaging 2011; 36(3): 273 doi: 10.1007/s00261-011-9684-2
35
Michael A. Fischer, Bart Vrugt, Hatem Alkadhi, Dieter Hahnloser, Thomas F. Hany, Patrick Veit-Haibach. Integrated 18F-FDG PET/perfusion CT for the monitoring of neoadjuvant chemoradiotherapy in rectal carcinoma: correlation with histopathologyEuropean Journal of Nuclear Medicine and Molecular Imaging 2014; 41(8): 1563 doi: 10.1007/s00259-014-2752-4
36
Nikhil Kapse, Vicky Goh. Functional Imaging of Colorectal Cancer: Positron Emission Tomography, Magnetic Resonance Imaging, and Computed TomographyClinical Colorectal Cancer 2009; 8(2): 77 doi: 10.3816/CCC.2009.n.013
37
Vicky Goh, Manu Shastry, Alec Engledow, Jonathan Reston, David M. Wellsted, Jacqui Peck, Raymondo Endozo, Manuel Rodriguez-Justo, Stuart A. Taylor, Steve Halligan, Ashley M Groves. Commercial software upgrades may significantly alter Perfusion CT parameter values in colorectal cancerEuropean Radiology 2011; 21(4): 744 doi: 10.1007/s00330-010-1967-4
38
Roberto García-Figueiras, Vicky J. Goh, Anwar R. Padhani, Sandra Baleato-González, Miguel Garrido, Luis León, Antonio Gómez-Caamaño. CT Perfusion in Oncologic Imaging: A Useful Tool?American Journal of Roentgenology 2013; 200(1): 8 doi: 10.2214/AJR.11.8476
39
Tao Song, Yu-Guang Shen, Na-Na Jiao, Xin-Hui Li, Hong-Tao Hu, Jin-Rong Qu, Xue-Jun Chen, Wen Feng, Xun Zhang, Hai-Liang Li. Esophageal Squamous Cell Carcinoma: Assessing Tumor Angiogenesis Using Multi-Slice CT Perfusion ImagingDigestive Diseases and Sciences 2012; 57(8): 2195 doi: 10.1007/s10620-012-2149-9
40
Yoichi Makari, Takushi Yasuda, Yuichiro Doki, Hiroshi Miyata, Yoshiyuki Fujiwara, Shuji Takiguchi, Jin Matsuyama, Makoto Yamasaki, Takafumi Hirao, Mitsuhiro Koyama Koyama, Hironobu Nakamuara, Morito Monden. Correlation between tumor blood flow assessed by perfusion CT and effect of neoadjuvant therapy in advanced esophageal cancersJournal of Surgical Oncology 2007; 96(3): 220 doi: 10.1002/jso.20820
41
Shwetal Dighe, Helena Blake, Nelesh Jeyadevan, Isabel Castellano, Dow-Mu Koh, Matthew Orton, Ian Chandler, Ian Swift, Gina Brown. Perfusion CT Vascular Parameters Do Not Correlate with Immunohistochemically Derived Microvessel Density Count in Colorectal TumorsRadiology 2013; 268(2): 400 doi: 10.1148/radiol.13112460
42
S Dighe, E Castellano, H Blake, N Jeyadevan, M U Koh, M Orten, I Swift, G Brown. Perfusion CT to assess angiogenesis in colon cancer: technical limitations and practical challengesThe British Journal of Radiology 2012; 85(1018): e814 doi: 10.1259/bjr/19855447
43
Avinash R. Kambadakone, Ashish Sharma, Onofrio A. Catalano, Peter F. Hahn, Dushyant V. Sahani. Protocol modifications for CT perfusion (CTp) examinations of abdomen-pelvic tumors: Impact on radiation dose and data processing timeEuropean Radiology 2011; 21(6): 1293 doi: 10.1007/s00330-010-2048-4
44
V Goh, R Glynne-Jones. Perfusion CT imaging of colorectal cancerThe British Journal of Radiology 2014; 87(1034): 20130811 doi: 10.1259/bjr.20130811
45
Avinash R. Kambadakone, Dushyant V. Sahani. Body Perfusion CT: Technique, Clinical Applications, and AdvancesRadiologic Clinics of North America 2009; 47(1): 161 doi: 10.1016/j.rcl.2008.11.003
46
Thomas Pöschinger, Anja Renner, Fabian Eisa, Michael Dobosz, Steffen Strobel, Thomas G. Weber, Robert Brauweiler, Willi A. Kalender, Werner Scheuer. Dynamic Contrast-Enhanced Micro–Computed Tomography Correlates With 3-Dimensional Fluorescence Ultramicroscopy in Antiangiogenic Therapy of Breast Cancer XenograftsInvestigative Radiology 2014; 49(7): 445 doi: 10.1097/RLI.0000000000000038
47
Andrzej Stelmach. Correlation between CT Perfusion and Clinico-Pathological Features in Prostate Cancer: A Prospective StudyMedical Science Monitor 2015; 21: 153 doi: 10.12659/MSM.891401
48
Vicky Goh, Steve Halligan, Frances Daley, David M. Wellsted, Thomas Guenther, Clive I. Bartram. Colorectal Tumor Vascularity: Quantitative Assessment with Multidetector CT—Do Tumor Perfusion Measurements Reflect Angiogenesis?Radiology 2008; 249(2): 510 doi: 10.1148/radiol.2492071365
49
Baris Turkbey, Hisataka Kobayashi, Mikako Ogawa, Marcelino Bernardo, Peter L. Choyke. Imaging of Tumor Angiogenesis: Functional or Targeted?American Journal of Roentgenology 2009; 193(2): 304 doi: 10.2214/AJR.09.2869
50
Joseph M. Norris, Benjamin S. Simpson, Alex Freeman, Alex Kirkham, Hayley C. Whitaker, Mark Emberton. Conspicuity of prostate cancer on multiparametric magnetic resonance imaging: A cross‐disciplinary translational hypothesisThe FASEB Journal 2020; 34(11): 14150 doi: 10.1096/fj.202001466R
51
K. A. Miles, T.-Y. Lee, V. Goh, E. Klotz, C. Cuenod, S. Bisdas, A. M. Groves, M. P. Hayball, R. Alonzi, T. Brunner. Current status and guidelines for the assessment of tumour vascular support with dynamic contrast-enhanced computed tomographyEuropean Radiology 2012; 22(7): 1430 doi: 10.1007/s00330-012-2379-4