Literature DB >> 29676964

Advanced Imaging Techniques in Evaluation of Colorectal Cancer.

Roberto García-Figueiras1, Sandra Baleato-González1, Anwar R Padhani1, Antonio Luna-Alcalá1, Ana Marhuenda1, Joan C Vilanova1, Iria Osorio-Vázquez1, Anxo Martínez-de-Alegría1, Antonio Gómez-Caamaño1.   

Abstract

Imaging techniques are clinical decision-making tools in the evaluation of patients with colorectal cancer (CRC). The aim of this article is to discuss the potential of recent advances in imaging for diagnosis, prognosis, therapy planning, and assessment of response to treatment of CRC. Recent developments and new clinical applications of conventional imaging techniques such as virtual colonoscopy, dual-energy spectral computed tomography, elastography, advanced computing techniques (including volumetric rendering techniques and machine learning), magnetic resonance (MR) imaging-based magnetization transfer, and new liver imaging techniques, which may offer additional clinical information in patients with CRC, are summarized. In addition, the clinical value of functional and molecular imaging techniques such as diffusion-weighted MR imaging, dynamic contrast material-enhanced imaging, blood oxygen level-dependent imaging, lymphography with contrast agents, positron emission tomography with different radiotracers, and MR spectroscopy is reviewed, and the advantages and disadvantages of these modalities are evaluated. Finally, the future role of imaging-based analysis of tumor heterogeneity and multiparametric imaging, the development of radiomics and radiogenomics, and future challenges for imaging of patients with CRC are discussed. Online supplemental material is available for this article. ©RSNA, 2018.

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Year:  2018        PMID: 29676964     DOI: 10.1148/rg.2018170044

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  19 in total

1.  1H-MRS application in the evaluation of response to photo-thermal therapy using iron oxide-gold core-shell nanoparticles, an in vivo study.

Authors:  Sina Ehsani; Erfan Saatchian; Abolfazl Sarikhani; Alireza Montazerabadi
Journal:  Photochem Photobiol Sci       Date:  2021-02-09       Impact factor: 3.982

Review 2.  Management of interruptions in radiotherapy treatments: Adaptive implementation in high workload sites.

Authors:  Gustavo Pozo; Maria Angeles Pérez-Escutia; Ana Ruíz; Alejandro Ferrando; Ana Milanés; Eduardo Cabello; Raul Díaz; Alejandro Prado; Jose Fermin Pérez-Regadera
Journal:  Rep Pract Oncol Radiother       Date:  2019-02-26

3.  Radiomics-based prediction of microsatellite instability in colorectal cancer at initial computed tomography evaluation.

Authors:  Jennifer S Golia Pernicka; Johan Gagniere; Jayasree Chakraborty; Rikiya Yamashita; Lorenzo Nardo; John M Creasy; Iva Petkovska; Richard R K Do; David D B Bates; Viktoriya Paroder; Mithat Gonen; Martin R Weiser; Amber L Simpson; Marc J Gollub
Journal:  Abdom Radiol (NY)       Date:  2019-11

Review 4.  Diagnostic performance of [18F]-FDG PET/MR in evaluating colorectal cancer: a systematic review and meta-analysis.

Authors:  Seyed Ali Mirshahvalad; Ricarda Hinzpeter; Andres Kohan; Reut Anconina; Roshini Kulanthaivelu; Claudia Ortega; Ur Metser; Patrick Veit-Haibach
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-06-16       Impact factor: 10.057

Review 5.  Multimodality imaging findings of infection-induced tumors.

Authors:  Moataz Soliman; Nicholas Guys; Peter Liu; Mariam Moshiri; Christine O Menias; Vincent M Mellnick; Hatice Savas; Mohamed Badawy; Khaled M Elsayes; Ayman H Gaballah
Journal:  Abdom Radiol (NY)       Date:  2022-09-07

6.  T staging with functional and radiomics parameters of computed tomography in colorectal cancer patients.

Authors:  Yafang Dou; Yingying Liu; Xiancheng Kong; Shangying Yang
Journal:  Medicine (Baltimore)       Date:  2022-05-27       Impact factor: 1.817

7.  Response prediction of neoadjuvant chemoradiation therapy in locally advanced rectal cancer using CT-based fractal dimension analysis.

Authors:  Toru Tochigi; Sophia C Kamran; Anushri Parakh; Yoshifumi Noda; Balaji Ganeshan; Lawrence S Blaszkowsky; David P Ryan; Jill N Allen; David L Berger; Jennifer Y Wo; Theodore S Hong; Avinash Kambadakone
Journal:  Eur Radiol       Date:  2021-10-13       Impact factor: 7.034

8.  Local staging of rectal cancer using fused high resolution diffusion weighted imaging and modified MR rectography.

Authors:  Xue Tang; Yan Luo; Shipai Zhang; Ligang Xia; Jingshan Gong
Journal:  Quant Imaging Med Surg       Date:  2019-09

Review 9.  Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.

Authors:  Antonio Jesús Banegas-Luna; Jorge Peña-García; Adrian Iftene; Fiorella Guadagni; Patrizia Ferroni; Noemi Scarpato; Fabio Massimo Zanzotto; Andrés Bueno-Crespo; Horacio Pérez-Sánchez
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

10.  Using shear wave elasticity in normal terminal ileum of a healthy southwest Chinese population: a pilot study of reference elasticity ranges.

Authors:  Jie-Ying Zhao; Xin Gao; Hua Zhuang; Yu-Ting Wu; Yuan Luo; Ji-Gang Jing; Yan Zhang
Journal:  Quant Imaging Med Surg       Date:  2021-06
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