Literature DB >> 30687593

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

Peter S N van Rossum1,2, Cai Xu1,3, David V Fried4, Lucas Goense2, Laurence E Court5, Steven H Lin1.   

Abstract

'Radiomics' is the name given to the emerging field of extracting additional information from standard medical images using advanced feature analysis. This innovative form of quantitative image analysis appears to have future potential for clinical practice in patients with esophageal cancer by providing an additional layer of information to the standard imaging assessment. There is a growing body of evidence suggesting that radiomics may provide incremental value for staging, predicting treatment response, and predicting survival in esophageal cancer, for which the current work-up has substantial limitations. This review outlines the available evidence and future potential for the application of radiomics in the management of patients with esophageal cancer. In addition, an overview of the current evidence on the importance of reproducibility of image features and the substantial influence of varying smoothing scales, quantization levels, and segmentation methods is provided.

Entities:  

Keywords:  Radiomics; computed tomography; esophageal cancer; positron emission tomography; texture analysis

Year:  2016        PMID: 30687593      PMCID: PMC6343849          DOI: 10.21037/tcr.2016.06.19

Source DB:  PubMed          Journal:  Transl Cancer Res        ISSN: 2218-676X            Impact factor:   1.241


  92 in total

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Authors:  Peter C Enzinger; Robert J Mayer
Journal:  N Engl J Med       Date:  2003-12-04       Impact factor: 91.245

Review 2.  Systematic review of the staging performance of 18F-fluorodeoxyglucose positron emission tomography in esophageal cancer.

Authors:  H L van Westreenen; M Westerterp; P M M Bossuyt; J Pruim; G W Sloof; J J B van Lanschot; H Groen; J Th M Plukker
Journal:  J Clin Oncol       Date:  2004-09-15       Impact factor: 44.544

Review 3.  Esophageal cancer: CT, endoscopic US, and FDG PET for assessment of response to neoadjuvant therapy--systematic review.

Authors:  Marinke Westerterp; Henderik L van Westreenen; Johannes B Reitsma; Otto S Hoekstra; Jaap Stoker; Paul Fockens; Pieter L Jager; Berthe L F Van Eck-Smit; John T M Plukker; J Jan B van Lanschot; Gerrit W Sloof
Journal:  Radiology       Date:  2005-09       Impact factor: 11.105

Review 4.  Texture analysis of medical images.

Authors:  G Castellano; L Bonilha; L M Li; F Cendes
Journal:  Clin Radiol       Date:  2004-12       Impact factor: 2.350

Review 5.  Combined chemotherapy and radiotherapy (without surgery) compared with radiotherapy alone in localized carcinoma of the esophagus.

Authors:  R Wong; R Malthaner
Journal:  Cochrane Database Syst Rev       Date:  2006-01-25

6.  A comparison of computerised tomography, laparoscopic ultrasound and endoscopic ultrasound in the preoperative staging of oesophago-gastric carcinoma.

Authors:  Sonia J Wakelin; Chris Deans; Trevor J Crofts; Paul L Allan; John N Plevris; Simon Paterson-Brown
Journal:  Eur J Radiol       Date:  2002-02       Impact factor: 3.528

7.  Posttherapy pathologic stage predicts survival in patients with esophageal carcinoma receiving preoperative chemoradiation.

Authors:  Lucian R Chirieac; Stephen G Swisher; Jaffer A Ajani; Ritsuko R Komaki; Arlene M Correa; Jeffrey S Morris; Jack A Roth; Asif Rashid; Stanley R Hamilton; Tsung-Teh Wu
Journal:  Cancer       Date:  2005-04-01       Impact factor: 6.860

8.  Prospective randomized trial comparing mitomycin, cisplatin, and protracted venous-infusion fluorouracil (PVI 5-FU) With epirubicin, cisplatin, and PVI 5-FU in advanced esophagogastric cancer.

Authors:  P Ross; M Nicolson; D Cunningham; J Valle; M Seymour; P Harper; T Price; H Anderson; T Iveson; T Hickish; F Lofts; A Norman
Journal:  J Clin Oncol       Date:  2002-04-15       Impact factor: 44.544

9.  Effect of endoscopic ultrasonography on the management of 100 consecutive patients with oesophageal and junctional carcinoma.

Authors:  S R Preston; G W B Clark; I G Martin; H M Sue Ling; K M Harris
Journal:  Br J Surg       Date:  2003-10       Impact factor: 6.939

10.  Prospective analysis of accuracy of positron emission tomography, computed tomography, and endoscopic ultrasonography in staging of adenocarcinoma of the esophagus and the esophagogastric junction.

Authors:  Jari V Räsänen; Eero I T Sihvo; M Juhani Knuuti; Heikki R I Minn; Markku E S Luostarinen; Pekka Laippala; Tapio Viljanen; Jarmo A Salo
Journal:  Ann Surg Oncol       Date:  2003-10       Impact factor: 5.344

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  7 in total

1.  PET/MRI and PET/CT Radiomics in Primary Cervical Cancer: A Pilot Study on the Correlation of Pelvic PET, MRI, and CT Derived Image Features.

Authors:  Shadi A Esfahani; Angel Torrado-Carvajal; Barbara Juarez Amorim; David Groshar; Liran Domachevsky; Hanna Bernstine; Dan Stein; Debra Gervais; Onofrio A Catalano
Journal:  Mol Imaging Biol       Date:  2021-10-07       Impact factor: 3.488

Review 2.  Radiomic assessment of oesophageal adenocarcinoma: a critical review of 18F-FDG PET/CT, PET/MRI and CT.

Authors:  Robert J O'Shea; Chris Rookyard; Sam Withey; Gary J R Cook; Sophia Tsoka; Vicky Goh
Journal:  Insights Imaging       Date:  2022-06-17

3.  Reliability of Radiomic Features Across Multiple Abdominal CT Image Acquisition Settings: A Pilot Study Using ACR CT Phantom.

Authors:  Lin Lu; Yongguang Liang; Lawrence H Schwartz; Binsheng Zhao
Journal:  Tomography       Date:  2019-03

4.  Impact of inter-reader contouring variability on textural radiomics of colorectal liver metastases.

Authors:  Francesco Rizzetto; Francesca Calderoni; Cristina De Mattia; Arianna Defeudis; Valentina Giannini; Simone Mazzetti; Lorenzo Vassallo; Silvia Ghezzi; Andrea Sartore-Bianchi; Silvia Marsoni; Salvatore Siena; Daniele Regge; Alberto Torresin; Angelo Vanzulli
Journal:  Eur Radiol Exp       Date:  2020-11-10

5.  Computed tomography-based deep-learning prediction of lymph node metastasis risk in locally advanced gastric cancer.

Authors:  An-Qi Zhang; Hui-Ping Zhao; Fei Li; Pan Liang; Jian-Bo Gao; Ming Cheng
Journal:  Front Oncol       Date:  2022-09-23       Impact factor: 5.738

6.  Contrast-Enhanced CT-Based Radiomics Analysis in Predicting Lymphovascular Invasion in Esophageal Squamous Cell Carcinoma.

Authors:  Yang Li; Meng Yu; Guangda Wang; Li Yang; Chongfei Ma; Mingbo Wang; Meng Yue; Mengdi Cong; Jialiang Ren; Gaofeng Shi
Journal:  Front Oncol       Date:  2021-05-14       Impact factor: 6.244

7.  Discovery of stable and prognostic CT-based radiomic features independent of contrast administration and dimensionality in oesophageal cancer.

Authors:  Concetta Piazzese; Kieran Foley; Philip Whybra; Chris Hurt; Tom Crosby; Emiliano Spezi
Journal:  PLoS One       Date:  2019-11-22       Impact factor: 3.240

  7 in total

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