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Sep 21, 2019 (publication date) through Apr 25, 2024
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Publication Name
World Journal of Gastroenterology
ISSN
1007-9327
Publisher of This Article
Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
| For: | Mainenti PP, Stanzione A, Guarino S, Romeo V, Ugga L, Romano F, Storto G, Maurea S, Brunetti A. Colorectal cancer: Parametric evaluation of morphological, functional and molecular tomographic imaging. World J Gastroenterol 2019; 25(35): 5233-5256 [PMID: 31558870 DOI: 10.3748/wjg.v25.i35.5233] |
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| URL: | https://www.wjgnet.com/1007-9327/full/v25/i35/5233.htm |
| Number | Citing Articles |
| 1 |
Arnaldo Stanzione, Francesco Verde, Valeria Romeo, Francesca Boccadifuoco, Pier Paolo Mainenti, Simone Maurea. Radiomics and machine learning applications in rectal cancer: Current update and future perspectives. World Journal of Gastroenterology 2021; 27(32): 5306-5321 doi: 10.3748/wjg.v27.i32.5306
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Seyed Ali Mirshahvalad, Ricarda Hinzpeter, Andres Kohan, Reut Anconina, Roshini Kulanthaivelu, Claudia Ortega, Ur Metser, Patrick Veit-Haibach. Diagnostic performance of [18F]-FDG PET/MR in evaluating colorectal cancer: a systematic review and meta-analysis. European Journal of Nuclear Medicine and Molecular Imaging 2022; 49(12): 4205 doi: 10.1007/s00259-022-05871-0
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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
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| 4 |
Arnaldo Stanzione, Renato Cuocolo, Francesco Verde, Roberta Galatola, Valeria Romeo, Pier Paolo Mainenti, Giovanni Aprea, Elia Guadagno, Marialaura Del Basso De Caro, Simone Maurea. Handcrafted MRI radiomics and machine learning: Classification of indeterminate solid adrenal lesions. Magnetic Resonance Imaging 2021; 79: 52 doi: 10.1016/j.mri.2021.03.009
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Christian Stock. Transportome Malfunction in the Cancer Spectrum. Reviews of Physiology, Biochemistry and Pharmacology 2020; 181: 129 doi: 10.1007/112_2020_41
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Drew Maclean, Maria Tsakok, Fergus Gleeson, David J. Breen, Robert Goldin, John Primrose, Adrian Harris, James Franklin. Comprehensive Imaging Characterization of Colorectal Liver Metastases. Frontiers in Oncology 2021; 11 doi: 10.3389/fonc.2021.730854
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Guannan Zhu, Zijun Wu, Su Lui, Na Hu, Min Wu. Advances in Imaging Modalities and Contrast Agents for the Early Diagnosis of Colorectal Cancer. Journal of Biomedical Nanotechnology 2021; 17(4): 558 doi: 10.1166/jbn.2021.3064
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Yong-juan Qiu, Lin-Li Zhou, Jun Li, Yi-fei Zhang, Yong Wang, Yan-song Yang. The repeatability and consistency of different methods for measuring the volume parameters of the primary rectal cancer on diffusion weighted images. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.993888
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Roberta Fusco, Vincenza Granata, Antonella Petrillo. Introduction to Special Issue of Radiology and Imaging of Cancer. Cancers 2020; 12(9): 2665 doi: 10.3390/cancers12092665
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| 10 |
Xueting Qu, Liang Zhang, Weina Ji, Jizheng Lin, Guohua Wang. Preoperative prediction of tumor budding in rectal cancer using multiple machine learning algorithms based on MRI T2WI radiomics. Frontiers in Oncology 2023; 13 doi: 10.3389/fonc.2023.1267838
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| 11 |
Roberto García-Figueiras, Sandra Baleato-González, María Canedo-Antelo, Lidia Alcalá, Ana Marhuenda. Imaging Advances on CT and MRI in Colorectal Cancer. Current Colorectal Cancer Reports 2021; 17(6): 113 doi: 10.1007/s11888-021-00468-5
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| 12 |
Pier Paolo Mainenti, Arnaldo Stanzione, Renato Cuocolo, Renata del Grosso, Roberta Danzi, Valeria Romeo, Antonio Raffone, Attilio Di Spiezio Sardo, Elena Giordano, Antonio Travaglino, Luigi Insabato, Mariano Scaglione, Simone Maurea, Arturo Brunetti. MRI radiomics: A machine learning approach for the risk stratification of endometrial cancer patients. European Journal of Radiology 2022; 149: 110226 doi: 10.1016/j.ejrad.2022.110226
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| 13 |
Patrick Sandach, Stefan Kasper-Virchow, Christoph Rischpler, Ken Herrmann. Molecular Imaging and Therapy of Colorectal and Anal Cancer. Seminars in Nuclear Medicine 2020; 50(5): 465 doi: 10.1053/j.semnuclmed.2020.04.003
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| 14 |
Jia Wang, Jingjing Chen, Ruizhi Zhou, Yuanxiang Gao, Jie Li. Machine learning-based multiparametric MRI radiomics for predicting poor responders after neoadjuvant chemoradiotherapy in rectal Cancer patients. BMC Cancer 2022; 22(1) doi: 10.1186/s12885-022-09518-z
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| 15 |
Yun Pei, Lin Mu, Yu Fu, Kan He, Hong Li, Shuxu Guo, Xiaoming Liu, Mingyang Li, Huimao Zhang, Xueyan Li. Colorectal Tumor Segmentation of CT Scans Based on a Convolutional Neural Network With an Attention Mechanism. IEEE Access 2020; 8: 64131 doi: 10.1109/ACCESS.2020.2982543
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| 16 |
C. Behrenbruch, S. Prabhakaran, D. Udayasiri D, M. Michael, F. Hollande, I. Hayes, A. G. Heriot, B. Knowles, B. N. Thomson. Association between imaging response and survival following neoadjuvant chemotherapy in patients with resectable colorectal liver metastases: A cohort study. Journal of Surgical Oncology 2021; 123(5): 1263 doi: 10.1002/jso.26400
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| 17 |
Sarah Al Ghamdi, Ira Leeds, Sandy Fang, Saowanee Ngamruengphong. Minimally Invasive Endoscopic and Surgical Management of Rectal Neoplasia. Cancers 2022; 14(4): 948 doi: 10.3390/cancers14040948
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| 18 |
Arnaldo Stanzione, Renato Cuocolo, Lorenzo Ugga, Francesco Verde, Valeria Romeo, Arturo Brunetti, Simone Maurea. Oncologic Imaging and Radiomics: A Walkthrough Review of Methodological Challenges. Cancers 2022; 14(19): 4871 doi: 10.3390/cancers14194871
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| 19 |
Boris Jansen-Winkeln, Manuel Barberio, Claire Chalopin, Katrin Schierle, Michele Diana, Hannes Köhler, Ines Gockel, Marianne Maktabi. Feedforward Artificial Neural Network-Based Colorectal Cancer Detection Using Hyperspectral Imaging: A Step towards Automatic Optical Biopsy. Cancers 2021; 13(5): 967 doi: 10.3390/cancers13050967
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| 20 |
Anne-Leen Deleu, Machaba Junior Sathekge, Alex Maes, Bart De Spiegeleer, Mike Sathekge, Christophe Van de Wiele. Characterization of FDG PET Images Using Texture Analysis in Tumors of the Gastro-Intestinal Tract: A Review. Biomedicines 2020; 8(9): 304 doi: 10.3390/biomedicines8090304
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