Literature DB >> 25051978

The role of texture analysis in imaging as an outcome predictor and potential tool in radiotherapy treatment planning.

S Alobaidli1, S McQuaid, C South, V Prakash, P Evans, A Nisbet.   

Abstract

Predicting a tumour's response to radiotherapy prior to the start of treatment could enhance clinical care management by enabling the personalization of treatment plans based on predicted outcome. In recent years, there has been accumulating evidence relating tumour texture to patient survival and response to treatment. Tumour texture could be measured from medical images that provide a non-invasive method of capturing intratumoural heterogeneity and hence could potentially enable a prior assessment of a patient's predicted response to treatment. In this article, work presented in the literature regarding texture analysis in radiotherapy in relation to survival and outcome is discussed. Challenges facing integrating texture analysis in radiotherapy planning are highlighted and recommendations for future directions in research are suggested.

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Year:  2014        PMID: 25051978      PMCID: PMC4170870          DOI: 10.1259/bjr.20140369

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  60 in total

1.  Volumetric texture analysis of breast lesions on contrast-enhanced magnetic resonance images.

Authors:  Weijie Chen; Maryellen L Giger; Hui Li; Ulrich Bick; Gillian M Newstead
Journal:  Magn Reson Med       Date:  2007-09       Impact factor: 4.668

2.  Automatic segmentation of the prostate in 3D MR images by atlas matching using localized mutual information.

Authors:  Stefan Klein; Uulke A van der Heide; Irene M Lips; Marco van Vulpen; Marius Staring; Josien P W Pluim
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

3.  Respiration-based sorting of dynamic MRI to derive representative 4D-MRI for radiotherapy planning.

Authors:  Erik Tryggestad; Aaron Flammang; Sarah Han-Oh; Russell Hales; Joseph Herman; Todd McNutt; Teboh Roland; Steven M Shea; John Wong
Journal:  Med Phys       Date:  2013-05       Impact factor: 4.071

4.  Non-small cell lung cancer: histopathologic correlates for texture parameters at CT.

Authors:  Balaji Ganeshan; Vicky Goh; Henry C Mandeville; Quan Sing Ng; Peter J Hoskin; Kenneth A Miles
Journal:  Radiology       Date:  2012-11-20       Impact factor: 11.105

5.  Tumour heterogeneity in non-small cell lung carcinoma assessed by CT texture analysis: a potential marker of survival.

Authors:  Balaji Ganeshan; Elleny Panayiotou; Kate Burnand; Sabina Dizdarevic; Ken Miles
Journal:  Eur Radiol       Date:  2011-11-17       Impact factor: 5.315

6.  Changes in cervical cancer FDG uptake during chemoradiation and association with response.

Authors:  Elizabeth A Kidd; Maria Thomas; Barry A Siegel; Farrokh Dehdashti; Perry W Grigsby
Journal:  Int J Radiat Oncol Biol Phys       Date:  2012-04-18       Impact factor: 7.038

7.  FDG PET studies during treatment: prediction of therapy outcome in head and neck squamous cell carcinoma.

Authors:  Eva Brun; Elisabeth Kjellén; Jan Tennvall; Tomas Ohlsson; Anders Sandell; Roland Perfekt; Roland Perfekt; Johan Wennerberg; Sven Erik Strand
Journal:  Head Neck       Date:  2002-02       Impact factor: 3.147

8.  Are pretreatment 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy?

Authors:  Gary J R Cook; Connie Yip; Muhammad Siddique; Vicky Goh; Sugama Chicklore; Arunabha Roy; Paul Marsden; Shahreen Ahmad; David Landau
Journal:  J Nucl Med       Date:  2012-11-30       Impact factor: 10.057

9.  2-Deoxy-2-[18F] fluoro-D-glucose uptake and correlation to intratumoral heterogeneity.

Authors:  Eva Henriksson; Elisabeth Kjellen; Peter Wahlberg; Tomas Ohlsson; Johan Wennerberg; Eva Brun
Journal:  Anticancer Res       Date:  2007 Jul-Aug       Impact factor: 2.480

10.  Texture analysis in non-contrast enhanced CT: impact of malignancy on texture in apparently disease-free areas of the liver.

Authors:  Balaji Ganeshan; Kenneth A Miles; Rupert C D Young; Chris R Chatwin
Journal:  Eur J Radiol       Date:  2008-02-01       Impact factor: 3.528

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  34 in total

1.  Imaging texture analysis for automated prediction of lung cancer recurrence after stereotactic radiotherapy.

Authors:  Sarah A Mattonen; Shyama Tetar; David A Palma; Alexander V Louie; Suresh Senan; Aaron D Ward
Journal:  J Med Imaging (Bellingham)       Date:  2015-11-12

Review 2.  Computerized PET/CT image analysis in the evaluation of tumour response to therapy.

Authors:  W Lu; J Wang; H H Zhang
Journal:  Br J Radiol       Date:  2015-02-27       Impact factor: 3.039

3.  Evaluation of microvascular permeability of skeletal muscle and texture analysis based on DCE-MRI in alloxan-induced diabetic rabbits.

Authors:  Baiyu Liu; Lei Hu; Li Wang; Dong Xing; Lin Peng; Pianpian Chen; Feifei Zeng; Weiyin Vivian Liu; Huan Liu; Yunfei Zha
Journal:  Eur Radiol       Date:  2021-02-05       Impact factor: 5.315

4.  Evaluation of renal dysfunction using texture analysis based on DWI, BOLD, and susceptibility-weighted imaging.

Authors:  Jiule Ding; Zhaoyu Xing; Zhenxing Jiang; Hua Zhou; Jia Di; Jie Chen; Jianguo Qiu; Shengnan Yu; Liqiu Zou; Wei Xing
Journal:  Eur Radiol       Date:  2018-12-17       Impact factor: 5.315

Review 5.  Texture analysis of medical images for radiotherapy applications.

Authors:  Elisa Scalco; Giovanna Rizzo
Journal:  Br J Radiol       Date:  2016-11-25       Impact factor: 3.039

Review 6.  Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply?

Authors:  Sarah A Mattonen; Aaron D Ward; David A Palma
Journal:  Br J Radiol       Date:  2016-06-20       Impact factor: 3.039

7.  Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing IMRT.

Authors:  Valerio Nardone; Paolo Tini; Christophe Nioche; Maria Antonietta Mazzei; Tommaso Carfagno; Giuseppe Battaglia; Pierpaolo Pastina; Roberta Grassi; Lucio Sebaste; Luigi Pirtoli
Journal:  Radiol Med       Date:  2018-01-24       Impact factor: 3.469

8.  CT Texture Analysis: Defining and Integrating New Biomarkers for Advanced Oncologic Imaging in Precision Medicine: A Comment on "CT Texture Analysis Potentially Predicts Local Failure in Head and Neck Squamous Cell Carcinoma Treated with Chemoradiotherapy".

Authors:  M Becker
Journal:  AJNR Am J Neuroradiol       Date:  2017-10-12       Impact factor: 3.825

Review 9.  Radiomics as a Quantitative Imaging Biomarker: Practical Considerations and the Current Standpoint in Neuro-oncologic Studies.

Authors:  Ji Eun Park; Ho Sung Kim
Journal:  Nucl Med Mol Imaging       Date:  2018-02-01

Review 10.  Clinical applications of textural analysis in non-small cell lung cancer.

Authors:  Iain Phillips; Mazhar Ajaz; Veni Ezhil; Vineet Prakash; Sheaka Alobaidli; Sarah J McQuaid; Christopher South; James Scuffham; Andrew Nisbet; Philip Evans
Journal:  Br J Radiol       Date:  2017-10-27       Impact factor: 3.039

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