Literature DB >> 30711529

NCTN Assessment on Current Applications of Radiomics in Oncology.

Ke Nie1, Hania Al-Hallaq2, X Allen Li3, Stanley H Benedict4, Jason W Sohn5, Jean M Moran6, Yong Fan7, Mi Huang8, Michael V Knopp9, Jeff M Michalski10, James Monroe11, Ceferino Obcemea12, Christina I Tsien10, Timothy Solberg13, Jackie Wu14, Ping Xia15, Ying Xiao8, Issam El Naqa2.   

Abstract

Radiomics is a fast-growing research area based on converting standard-of-care imaging into quantitative minable data and building subsequent predictive models to personalize treatment. Radiomics has been proposed as a study objective in clinical trial concepts and a potential biomarker for stratifying patients across interventional treatment arms. In recognizing the growing importance of radiomics in oncology, a group of medical physicists and clinicians from NRG Oncology reviewed the current status of the field and identified critical issues, providing a general assessment and early recommendations for incorporation in oncology studies.
Copyright © 2019. Published by Elsevier Inc.

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Year:  2019        PMID: 30711529      PMCID: PMC6499656          DOI: 10.1016/j.ijrobp.2019.01.087

Source DB:  PubMed          Journal:  Int J Radiat Oncol Biol Phys        ISSN: 0360-3016            Impact factor:   7.038


  112 in total

1.  Drug development: Raise standards for preclinical cancer research.

Authors:  C Glenn Begley; Lee M Ellis
Journal:  Nature       Date:  2012-03-28       Impact factor: 49.962

Review 2.  Computer-aided diagnosis in medical imaging: historical review, current status and future potential.

Authors:  Kunio Doi
Journal:  Comput Med Imaging Graph       Date:  2007-03-08       Impact factor: 4.790

3.  Assessment of response to tyrosine kinase inhibitors in metastatic renal cell cancer: CT texture as a predictive biomarker.

Authors:  Vicky Goh; Balaji Ganeshan; Paul Nathan; Jaspal K Juttla; Anup Vinayan; Kenneth A Miles
Journal:  Radiology       Date:  2011-08-03       Impact factor: 11.105

4.  Association of Radiomics and Metabolic Tumor Volumes in Radiation Treatment of Glioblastoma Multiforme.

Authors:  Christopher J Lopez; Natalya Nagornaya; Nestor A Parra; Deukwoo Kwon; Fazilat Ishkanian; Arnold M Markoe; Andrew Maudsley; Radka Stoyanova
Journal:  Int J Radiat Oncol Biol Phys       Date:  2016-11-15       Impact factor: 7.038

5.  Extension of the NCAT phantom for the investigation of intra-fraction respiratory motion in IMRT using 4D Monte Carlo.

Authors:  Ross McGurk; Joao Seco; Marco Riboldi; John Wolfgang; Paul Segars; Harald Paganetti
Journal:  Phys Med Biol       Date:  2010-02-16       Impact factor: 3.609

6.  MR imaging predictors of molecular profile and survival: multi-institutional study of the TCGA glioblastoma data set.

Authors:  David A Gutman; Lee A D Cooper; Scott N Hwang; Chad A Holder; Jingjing Gao; Tarun D Aurora; William D Dunn; Lisa Scarpace; Tom Mikkelsen; Rajan Jain; Max Wintermark; Manal Jilwan; Prashant Raghavan; Erich Huang; Robert J Clifford; Pattanasak Mongkolwat; Vladimir Kleper; John Freymann; Justin Kirby; Pascal O Zinn; Carlos S Moreno; Carl Jaffe; Rivka Colen; Daniel L Rubin; Joel Saltz; Adam Flanders; Daniel J Brat
Journal:  Radiology       Date:  2013-02-07       Impact factor: 11.105

7.  Variation in algorithm implementation across radiomics software.

Authors:  Joseph J Foy; Kayla R Robinson; Hui Li; Maryellen L Giger; Hania Al-Hallaq; Samuel G Armato
Journal:  J Med Imaging (Bellingham)       Date:  2018-12-04

8.  The Quantitative Imaging Network in Precision Medicine.

Authors:  Robert J Nordstrom
Journal:  Tomography       Date:  2016-12

9.  Quantitative Radiomics: Impact of Pulse Sequence Parameter Selection on MRI-Based Textural Features of the Brain.

Authors:  John Ford; Nesrin Dogan; Lori Young; Fei Yang
Journal:  Contrast Media Mol Imaging       Date:  2018-07-30       Impact factor: 3.161

10.  Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients.

Authors:  Elske Quak; Pierre-Yves Le Roux; Michael S Hofman; Philippe Robin; David Bourhis; Jason Callahan; David Binns; Cédric Desmonts; Pierre-Yves Salaun; Rodney J Hicks; Nicolas Aide
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-07-30       Impact factor: 9.236

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  11 in total

1.  Implications of US radiomics signature for predicting malignancy in thyroid nodules with indeterminate cytology.

Authors:  Jiyoung Yoon; Eunjung Lee; Sang-Wook Kang; Kyunghwa Han; Vivian Youngjean Park; Jin Young Kwak
Journal:  Eur Radiol       Date:  2021-01-18       Impact factor: 5.315

2.  Radiotherapy Standardisation and Artificial Intelligence within the National Cancer Institute's Clinical Trials Network.

Authors:  S H Lee; H Geng; Y Xiao
Journal:  Clin Oncol (R Coll Radiol)       Date:  2021-12-11       Impact factor: 4.126

Review 3.  Radiomic Analysis: Study Design, Statistical Analysis, and Other Bias Mitigation Strategies.

Authors:  Chaya S Moskowitz; Mattea L Welch; Michael A Jacobs; Brenda F Kurland; Amber L Simpson
Journal:  Radiology       Date:  2022-05-17       Impact factor: 29.146

4.  Incremental Value of Radiomics in 5-Year Overall Survival Prediction for Stage II-III Rectal Cancer.

Authors:  Ke Nie; Peng Hu; Jianjun Zheng; Yang Zhang; Pengfei Yang; Salma K Jabbour; Ning Yue; Xue Dong; Shufeng Xu; Bo Shen; Tianye Niu; Xiaotong Hu; Xiujun Cai; Jihong Sun
Journal:  Front Oncol       Date:  2022-06-30       Impact factor: 5.738

5.  Comparison of radiomics tools for image analyses and clinical prediction in nasopharyngeal carcinoma.

Authors:  Zhong-Guo Liang; Hong Qi Tan; Fan Zhang; Lloyd Kuan Rui Tan; Li Lin; Jacopo Lenkowicz; Haitao Wang; Enya Hui Wen Ong; Grace Kusumawidjaja; Jun Hao Phua; Soon Ann Gan; Sze Yarn Sin; Yan Yee Ng; Terence Wee Tan; Yoke Lim Soong; Kam Weng Fong; Sung Yong Park; Khee-Chee Soo; Joseph Tien Wee; Xiao-Dong Zhu; Vincenzo Valentini; Luca Boldrini; Ying Sun; Melvin Lee Chua
Journal:  Br J Radiol       Date:  2019-08-27       Impact factor: 3.039

6.  Magnetic resonance imaging-derived radiomic signature predicts locoregional failure after organ preservation therapy in patients with hypopharyngeal squamous cell carcinoma.

Authors:  Che-Yu Hsu; Shih-Min Lin; Ngan Ming Tsang; Yu-Hsiang Juan; Chun-Wei Wang; Wei-Chung Wang; Sung-Hsin Kuo
Journal:  Clin Transl Radiat Oncol       Date:  2020-08-31

Review 7.  Radiomic and radiogenomic modeling for radiotherapy: strategies, pitfalls, and challenges.

Authors:  James T T Coates; Giacomo Pirovano; Issam El Naqa
Journal:  J Med Imaging (Bellingham)       Date:  2021-03-23

8.  4D radiomics: impact of 4D-CBCT image quality on radiomic analysis.

Authors:  Zeyu Zhang; Mi Huang; Zhuoran Jiang; Yushi Chang; Jordan Torok; Fang-Fang Yin; Lei Ren
Journal:  Phys Med Biol       Date:  2021-02-11       Impact factor: 3.609

9.  Current status of Radiomics for cancer management: Challenges versus opportunities for clinical practice.

Authors:  Hua Li; Issam El Naqa; Yi Rong
Journal:  J Appl Clin Med Phys       Date:  2020-07-22       Impact factor: 2.102

Review 10.  Variability and Standardization of Quantitative Imaging: Monoparametric to Multiparametric Quantification, Radiomics, and Artificial Intelligence.

Authors:  Akifumi Hagiwara; Shohei Fujita; Yoshiharu Ohno; Shigeki Aoki
Journal:  Invest Radiol       Date:  2020-09       Impact factor: 10.065

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