Literature DB >> 25172205

Imaging of oesophageal cancer with FDG-PET/CT and MRI.

P S N van Rossum1, A L H M W van Lier2, I M Lips2, G J Meijer2, O Reerink2, M van Vulpen2, M G E H Lam3, R van Hillegersberg4, J P Ruurda5.   

Abstract

Integrated 2-[(18)F]-fluoro-2-deoxy-d-glucose (FDG) PET/CT and magnetic resonance imaging (MRI) with functional features of diffusion-weighted imaging (DWI) are advancing imaging technologies that have current and future potential to overcome important limitations of conventional staging methods in the management of patients with oesophageal cancer. PET/CT has emerged as an important part of the standard work-up of patients with oesophageal cancer. Besides its important ability to detect unsuspected metastatic disease, PET/CT may be useful in the assessment of treatment response, radiation treatment planning, and detection of recurrent disease. In addition, high-resolution T2-weighted MRI and DWI have potential complementary roles. Recent improvements in MRI protocols and techniques have resulted in better imaging quality with the potential to bring improvement in staging, radiation treatment planning, and the assessment of treatment response. Optimal use and understanding of PET/CT and MRI in oesophageal cancer will contribute to the impact of these advancing technologies in tailoring treatment to the individual patient and achieving best possible outcomes. In this article, we graphically outline the current and potential future roles of PET/CT and MRI in the multidisciplinary management of oesophageal cancer.
Copyright © 2014 The Royal College of Radiologists. Published by Elsevier Ltd. All rights reserved.

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Year:  2014        PMID: 25172205     DOI: 10.1016/j.crad.2014.07.017

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  19 in total

1.  Prospective comparison of MR with diffusion-weighted imaging, endoscopic ultrasound, MDCT and positron emission tomography-CT in the pre-operative staging of oesophageal cancer: results from a pilot study.

Authors:  Francesco Giganti; Alessandro Ambrosi; Maria C Petrone; Carla Canevari; Damiano Chiari; Annalaura Salerno; Paolo G Arcidiacono; Roberto Nicoletti; Luca Albarello; Elena Mazza; Francesca Gallivanone; Luigi Gianolli; Elena Orsenigo; Antonio Esposito; Carlo Staudacher; Alessandro Del Maschio; Francesco De Cobelli
Journal:  Br J Radiol       Date:  2016-10-21       Impact factor: 3.039

2.  Restaging after chemoradiotherapy for locally advanced esophageal cancer.

Authors:  Ingmar L Defize; Richard van Hillegersberg; Stella Mook; Gert J Meijer; Steven H Lin; Jelle P Ruurda; Peter S N van Rossum
Journal:  Ann Transl Med       Date:  2019-12

Review 3.  Treatment for unresectable or metastatic oesophageal cancer: current evidence and trends.

Authors:  Peter S N van Rossum; Nadia Haj Mohammad; Frank P Vleggaar; Richard van Hillegersberg
Journal:  Nat Rev Gastroenterol Hepatol       Date:  2017-12-13       Impact factor: 46.802

4.  Patient perspectives on repeated MRI and PET/CT examinations during neoadjuvant treatment of esophageal cancer.

Authors:  Lucas Goense; Alicia S Borggreve; Sophie E Heethuis; Astrid Lhmw van Lier; Richard van Hillegersberg; Stella Mook; Gert J Meijer; Peter S N van Rossum; Jelle P Ruurda
Journal:  Br J Radiol       Date:  2018-03-14       Impact factor: 3.039

5.  The peri-esophageal connective tissue layers and related compartments: visualization by histology and magnetic resonance imaging.

Authors:  T J Weijs; L Goense; P S N van Rossum; G J Meijer; A L H M W van Lier; F J Wessels; M N G Braat; I M Lips; J P Ruurda; M A Cuesta; R van Hillegersberg; R L A W Bleys
Journal:  J Anat       Date:  2016-09-23       Impact factor: 2.610

Review 6.  Evaluation of preoperative staging for esophageal squamous cell carcinoma.

Authors:  Lin-Na Luo; Long-Jun He; Xiao-Yan Gao; Xin-Xin Huang; Hong-Bo Shan; Guang-Yu Luo; Yin Li; Shi-Yong Lin; Guo-Bao Wang; Rong Zhang; Guo-Liang Xu; Jian-Jun Li
Journal:  World J Gastroenterol       Date:  2016-08-07       Impact factor: 5.742

7.  The emerging field of radiomics in esophageal cancer: current evidence and future potential.

Authors:  Peter S N van Rossum; Cai Xu; David V Fried; Lucas Goense; Laurence E Court; Steven H Lin
Journal:  Transl Cancer Res       Date:  2016-08       Impact factor: 1.241

8.  Preoperative Prediction of Pathologic Response to Neoadjuvant Chemoradiotherapy in Patients With Esophageal Cancer Using 18F-FDG PET/CT and DW-MRI: A Prospective Multicenter Study.

Authors:  Alicia S Borggreve; Lucas Goense; Peter S N van Rossum; Sophie E Heethuis; Richard van Hillegersberg; Jan J W Lagendijk; Marnix G E H Lam; Astrid L H M W van Lier; Stella Mook; Jelle P Ruurda; Marco van Vulpen; Francine E M Voncken; Berthe M P Aleman; Annemarieke Bartels-Rutten; Jingfei Ma; Penny Fang; Benjamin C Musall; Steven H Lin; Gert J Meijer
Journal:  Int J Radiat Oncol Biol Phys       Date:  2020-01-25       Impact factor: 7.038

9.  Radiomic analysis in T2W and SPAIR T2W MRI: predict treatment response to chemoradiotherapy in esophageal squamous cell carcinoma.

Authors:  Zhen Hou; Shuangshuang Li; Wei Ren; Juan Liu; Jing Yan; Suiren Wan
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

10.  Generalizable cone beam CT esophagus segmentation using physics-based data augmentation.

Authors:  Sadegh R Alam; Tianfang Li; Pengpeng Zhang; Si-Yuan Zhang; Saad Nadeem
Journal:  Phys Med Biol       Date:  2021-03-04       Impact factor: 3.609

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