Academic Content and Language Evaluation of This Article
Academic Rules and Norms of This Article
Supplementary Materials of This Article
Citation of this article
Corresponding Author of This Article
Research Domain of This Article
Article-Type of This Article
Open-Access Policy of This Article
Times Cited Counts in Google of This Article
Number of Hits and Downloads for This Article
- Total Article Views (6718)
All Articles published online
|
Featured Article
|
Publishing Process of This Article
|
Jan 27, 2022 (publication date) through May 3, 2024
Times Cited of This Article
Journal Information of This Article
Publication Name
World Journal of Hepatology
ISSN
1948-5182
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Rabe E, Cioni D, Baglietto L, Fornili M, Gabelloni M, Neri E. Can the computed tomography texture analysis of colorectal liver metastases predict the response to first-line cytotoxic chemotherapy? World J Hepatol 2022; 14(1): 244-259 [PMID: 35126852 DOI: 10.4254/wjh.v14.i1.244] |
|---|---|
| URL: | https://www.wjgnet.com/1948-5182/full/v14/i1/244.htm |
| Number | Citing Articles |
| 1 |
Jacobo Porto-Álvarez, Gary T. Barnes, Alex Villanueva, Roberto García-Figueiras, Sandra Baleato-González, Emilio Huelga Zapico, Miguel Souto-Bayarri. Digital Medical X-ray Imaging, CAD in Lung Cancer and Radiomics in Colorectal Cancer: Past, Present and Future. Applied Sciences 2023; 13(4): 2218 doi: 10.3390/app13042218
|
| 2 |
Vincenza Granata, Roberta Fusco, Federica De Muzio, Maria Chiara Brunese, Sergio Venanzio Setola, Alessandro Ottaiano, Claudia Cardone, Antonio Avallone, Renato Patrone, Silvia Pradella, Vittorio Miele, Fabiana Tatangelo, Carmen Cutolo, Nicola Maggialetti, Damiano Caruso, Francesco Izzo, Antonella Petrillo. Radiomics and machine learning analysis by computed tomography and magnetic resonance imaging in colorectal liver metastases prognostic assessment. La radiologia medica 2023; 128(11): 1310 doi: 10.1007/s11547-023-01710-w
|
| 3 |
Hande Melike Bülbül, Gülen Burakgazi, Uğur Kesimal. Preoperative assessment of grade, T stage, and lymph node involvement: machine learning-based CT texture analysis in colon cancer. Japanese Journal of Radiology 2024; 42(3): 300 doi: 10.1007/s11604-023-01502-2
|
| 4 |
Martina Caruso, Arnaldo Stanzione, Anna Prinster, Laura Micol Pizzuti, Arturo Brunetti, Simone Maurea, Pier Paolo Mainenti. Role of advanced imaging techniques in the evaluation of oncological therapies in patients with colorectal liver metastases. World Journal of Gastroenterology 2023; 29(3): 521-535 doi: 10.3748/wjg.v29.i3.521
|
| 5 |
Vincenza Granata, Roberta Fusco, Federica De Muzio, Carmen Cutolo, Sergio Setola, Federica Dell’Aversana, Andrea Belli, Carmela Romano, Alessandro Ottaiano, Guglielmo Nasti, Antonio Avallone, Vittorio Miele, Fabiana Tatangelo, Antonella Petrillo, Francesco Izzo. Magnetic Resonance Features of Liver Mucinous Colorectal Metastases: What the Radiologist Should Know. Journal of Clinical Medicine 2022; 11(8): 2221 doi: 10.3390/jcm11082221
|
| 6 |
Vincenza Granata, Roberta Fusco, Sergio Venanzio Setola, Roberta Galdiero, Nicola Maggialetti, Renato Patrone, Alessandro Ottaiano, Guglielmo Nasti, Lucrezia Silvestro, Antonio Cassata, Francesca Grassi, Antonio Avallone, Francesco Izzo, Antonella Petrillo. Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics. Infectious Agents and Cancer 2023; 18(1) doi: 10.1186/s13027-023-00495-x
|