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Cited by in CrossRef
For: Guyennon A, Mihaila M, Palma J, Lombard-Bohas C, Chayvialle JA, Pilleul F. Perfusion characterization of liver metastases from endocrine tumors: Computed tomography perfusion. World J Radiol 2010; 2(11): 449-454 [PMID: 21179313 DOI: 10.4329/wjr.v2.i11.449]
URL: https://www.wjgnet.com/1949-8470/full/v2/i11/449.htm
Number Citing Articles
1
Peter Kletting, Berthold Müller, Bahar Erentok, Jörn Schmaljohann, Florian F. Behrendt, Sven N. Reske, Felix M. Mottaghy, Gerhard Glatting. Differences in predicted and actually absorbed doses in peptide receptor radionuclide therapyMedical Physics 2012; 39(9): 5708 doi: 10.1118/1.4747266
2
Vignesh Gadupudi, Rajoo Ramachandran, Venkata Sai Pulivadula Mohanarangam . The Role of Computed Tomography Perfusion in Various Focal Liver LesionsCureus 2022;  doi: 10.7759/cureus.32420
3
Evangelos Chartampilas, Vasileios Rafailidis, Vivian Georgopoulou, Georgios Kalarakis, Adam Hatzidakis, Panos Prassopoulos. Current Imaging Diagnosis of Hepatocellular CarcinomaCancers 2022; 14(16): 3997 doi: 10.3390/cancers14163997
4
Sjoerd A. M. Tunissen, Ewoud J. Smit, Mikhail Mikerov, Mathias Prokop, Ioannis Sechopoulos. Performance evaluation of a 4D similarity filter for dynamic CT angiography imaging of the liverMedical Physics 2024;  doi: 10.1002/mp.17394
5
Peter Kletting, Thomas Kull, Christian Maaß, Noeen Malik, Markus Luster, Ambros J. Beer, Gerhard Glatting. Optimized Peptide Amount and Activity for 90Y-Labeled DOTATATE TherapyJournal of Nuclear Medicine 2016; 57(4): 503 doi: 10.2967/jnumed.115.164699
6
Keno K. Bressem, Janis L. Vahldiek, Christoph Erxleben, Beatrice Geyer, Franz Poch, Seyd Shnayien, Kai S. Lehmann, B. Hamm, Stefan M. Niehues. Comparison of different 4D CT-Perfusion algorithms to visualize lesions after microwave ablation in an in vivo porcine modelInternational Journal of Hyperthermia 2019; 36(1): 1097 doi: 10.1080/02656736.2019.1679894
7
Nikolaj K.G. Jensen, Danielle Mulder, Michael Lock, Barbara Fisher, Rebecca Zener, Ben Beech, Roman Kozak, Jeff Chen, Ting-Yim Lee, Eugene Wong. Dynamic contrast enhanced CT aiding gross tumor volume delineation of liver tumors: An interobserver variability studyRadiotherapy and Oncology 2014; 111(1): 153 doi: 10.1016/j.radonc.2014.01.026
8
Riccardo De Robertis, Paolo Tinazzi Martini, Emanuele Demozzi, Gino Puntel, Silvia Ortolani, Sara Cingarlini, Andrea Ruzzenente, Alfredo Guglielmi, Giampaolo Tortora, Claudio Bassi, Paolo Pederzoli, Mirko D’Onofrio. Prognostication and response assessment in liver and pancreatic tumors: The new imagingWorld Journal of Gastroenterology 2015; 21(22): 6794-6808 doi: 10.3748/wjg.v21.i22.6794
9
Julio Ortega, Raúl Antón, Juan Carlos Ramos, Alejandro Rivas, Gorka S. Larraona, Bruno Sangro, José Ignacio Bilbao, Jorge Aramburu. Computational study of a novel catheter for liver radioembolizationInternational Journal for Numerical Methods in Biomedical Engineering 2022; 38(4) doi: 10.1002/cnm.3577
10
Jagjeet Singh, Sanjiv Sharma, Neeti Aggarwal, R G Sood, Shikha Sood, Ravinder Sidhu. Role of Perfusion CT Differentiating Hemangiomas from Malignant Hepatic LesionsJournal of Clinical Imaging Science 2014; 4: 10 doi: 10.4103/2156-7514.127959
11
Se Hyung Kim, Aya Kamaya, Jürgen K. Willmann. CT Perfusion of the Liver: Principles and Applications in OncologyRadiology 2014; 272(2): 322 doi: 10.1148/radiol.14130091
12
Yuan Wang, Brian P. Hobbs, Chaan S. Ng. CT Perfusion Characteristics Identify Metastatic Sites in LiverBioMed Research International 2015; 2015: 1 doi: 10.1155/2015/120749
13
S. Milin, L. Brunaud, X. Orry, C. Bastien, M. Klein, L. Bresler, V. Laurent. Prevalence of hepatic lesion types defined by T2-weighted and dynamic gadolinium-enhanced MR imaging in patients with metastasized neuroendocrine tumorsAbdominal Radiology 2016; 41(11): 2132 doi: 10.1007/s00261-016-0814-8
14
Rocio Garcia-Carbonero, Roberto Garcia-Figueiras, Alberto Carmona-Bayonas, Isabel Sevilla, Alex Teule, Maria Quindos, Enrique Grande, Jaume Capdevila, Javier Aller, Javier Arbizu, Paula Jimenez-Fonseca. Imaging approaches to assess the therapeutic response of gastroenteropancreatic neuroendocrine tumors (GEP-NETs): current perspectives and future trends of an exciting field in developmentCancer and Metastasis Reviews 2015; 34(4): 823 doi: 10.1007/s10555-015-9598-5
15
N. Kartalis, K. Brehmer, L. Loizou. Multi-detector CT: Liver protocol and recent developmentsEuropean Journal of Radiology 2017; 97: 101 doi: 10.1016/j.ejrad.2017.10.026
16
S. Colagrande, L. Calistri, C. Campani, G. Dragoni, C. Lorini, C. Nardi, A. Castellani, F. Marra. CT volume of enhancement of disease (VED) can predict the early response to treatment and overall survival in patients with advanced HCC treated with sorafenibEuropean Radiology 2021; 31(3): 1608 doi: 10.1007/s00330-020-07171-3
17
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
18
Aaron So, Errol Stewart, Christopher d’Esterre, Timothy Chi Yeung, Glenn Bauman, Nikolaj Jensen, Eugene Wong, Ting-Yim Lee. Multi-Detector CT Imaging2013; : 25 doi: 10.1201/b15603-4
19
Daniel M. Halperin, J. Jack Lee, Chaan S. Ng, Jonathan R. Strosberg, Jeannelyn S. Estrella, Cecile G. Dagohoy, Arvind Dasari, James C. Yao. A Phase II Trial of Ziv-Aflibercept in Patients With Advanced Pancreatic Neuroendocrine TumorsPancreas 2019; 48(3): 381 doi: 10.1097/MPA.0000000000001258
20
Luis David Jiménez-Franco, Gerhard Glatting, Vikas Prasad, Wolfgang A. Weber, Ambros J. Beer, Peter Kletting. Effect of Tumor Perfusion and Receptor Density on Tumor Control Probability in 177Lu-DOTATATE Therapy: An In Silico Analysis for Standard and Optimized TreatmentJournal of Nuclear Medicine 2021; 62(1): 92 doi: 10.2967/jnumed.120.245068
21
Chaan S. Ng, Wei Wei, Cihan Duran, Payel Ghosh, Ella F. Anderson, Adam G. Chandler, James C. Yao. CT perfusion in normal liver and liver metastases from neuroendocrine tumors treated with targeted antivascular agentsAbdominal Radiology 2018; 43(7): 1661 doi: 10.1007/s00261-017-1367-1
22
Sudipta Mohakud, Vimal Sreejith, Nerbadyswari Deep Bag, Susama Patra, Manas Kumar Panigrahi, Pankaj Kumar, Brahmadatta Pattnaik, Tanmay Dutta, Suprava Naik, Taraprasad Tripathy, Ranjan Kumar Patel, M. Divya, Dillip Kumar Muduly, Madhabananda Kar. Evaluating the role of quantitative computed tomography perfusion parameters in differentiating hepatocellular carcinoma from other hepatic neoplasmsAbdominal Radiology 2024;  doi: 10.1007/s00261-024-04688-9
23
Simona Picchia, Martina Pezzullo, Maria Antonietta Bali, Septian Hartono, Choon Hua Thng, Dow-Mu Koh. Imaging of the Liver and Intra-hepatic Biliary TractMedical Radiology 2021; : 395 doi: 10.1007/978-3-030-39021-1_17
24
Domenico De Santis, Federica Landolfi, Marta Zerunian, Damiano Caruso, Andrea Laghi. Imaging of the Liver and Intra-hepatic Biliary TractMedical Radiology 2021; : 77 doi: 10.1007/978-3-030-38983-3_4