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Correction: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach

Author

Listed:
  • Hugo J.W.L. Aerts
  • Emmanuel Rios Velazquez
  • Ralph T.H. Leijenaar
  • Chintan Parmar
  • Patrick Grossmann
  • Sara Carvalho
  • Johan Bussink
  • René Monshouwer
  • Benjamin Haibe-Kains
  • Derek Rietveld
  • Frank Hoebers
  • Michelle M. Rietbergen
  • C. René Leemans
  • Andre Dekker
  • John Quackenbush
  • Robert J. Gillies
  • Philippe Lambin

Abstract

Nature Communications 5: Article number: 4006 (2014); Published: 3 June 2014; Updated: 7 August 2014. The original version of this Article contained a typographical error in the spelling of the author Sara Carvalho, which was incorrectly given as Sara Cavalho. This has now been corrected in both thePDF and HTML versions of the Article.

Suggested Citation

  • Hugo J.W.L. Aerts & Emmanuel Rios Velazquez & Ralph T.H. Leijenaar & Chintan Parmar & Patrick Grossmann & Sara Carvalho & Johan Bussink & René Monshouwer & Benjamin Haibe-Kains & Derek Rietveld & Fran, 2014. "Correction: Corrigendum: Decoding tumour phenotype by noninvasive imaging using a quantitative radiomics approach," Nature Communications, Nature, vol. 5(1), pages 1-1, December.
    • Handle: RePEc:nat:natcom:v:5:y:2014:i:1:d:10.1038_ncomms5644
    DOI: 10.1038/ncomms5644
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    1. Abdalla Ibrahim & Turkey Refaee & Ralph T H Leijenaar & Sergey Primakov & Roland Hustinx & Felix M Mottaghy & Henry C Woodruff & Andrew D A Maidment & Philippe Lambin, 2021. "The application of a workflow integrating the variable reproducibility and harmonizability of radiomic features on a phantom dataset," PLOS ONE, Public Library of Science, vol. 16(5), pages 1-14, May.
    2. Qian Du & Michael Baine & Kyle Bavitz & Josiah McAllister & Xiaoying Liang & Hongfeng Yu & Jeffrey Ryckman & Lina Yu & Hengle Jiang & Sumin Zhou & Chi Zhang & Dandan Zheng, 2019. "Radiomic feature stability across 4D respiratory phases and its impact on lung tumor prognosis prediction," PLOS ONE, Public Library of Science, vol. 14(5), pages 1-16, May.
    3. Hyungjin Kim & Chang Min Park & Myunghee Lee & Sang Joon Park & Yong Sub Song & Jong Hyuk Lee & Eui Jin Hwang & Jin Mo Goo, 2016. "Impact of Reconstruction Algorithms on CT Radiomic Features of Pulmonary Tumors: Analysis of Intra- and Inter-Reader Variability and Inter-Reconstruction Algorithm Variability," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-11, October.
    4. Muazzam Maqsood & Sadaf Yasmin & Irfan Mehmood & Maryam Bukhari & Mucheol Kim, 2021. "An Efficient DA-Net Architecture for Lung Nodule Segmentation," Mathematics, MDPI, vol. 9(13), pages 1-16, June.
    5. Paul Desbordes & Su Ruan & Romain Modzelewski & Pascal Pineau & Sébastien Vauclin & Pierrick Gouel & Pierre Michel & Frédéric Di Fiore & Pierre Vera & Isabelle Gardin, 2017. "Predictive value of initial FDG-PET features for treatment response and survival in esophageal cancer patients treated with chemo-radiation therapy using a random forest classifier," PLOS ONE, Public Library of Science, vol. 12(3), pages 1-17, March.
    6. A Guerrisi & FM Solivetti & V Bruzzaniti & M Russillo, 2019. "Radiomics Approach for Cutaneous Melanoma Treatment Response Assessment in The Era of Precision Medicine," Cancer Therapy & Oncology International Journal, Juniper Publishers Inc., vol. 13(2), pages 72-77, March.
    7. Barbaros S Erdal & Mutlu Demirer & Kevin J Little & Chiemezie C Amadi & Gehan F M Ibrahim & Thomas P O’Donnell & Rainer Grimmer & Vikash Gupta & Luciano M Prevedello & Richard D White, 2020. "Are quantitative features of lung nodules reproducible at different CT acquisition and reconstruction parameters?," PLOS ONE, Public Library of Science, vol. 15(10), pages 1-17, October.
    8. Jung Hyun Yoon & Kyunghwa Han & Eunjung Lee & Jandee Lee & Eun-Kyung Kim & Hee Jung Moon & Vivian Youngjean Park & Kee Hyun Nam & Jin Young Kwak, 2020. "Radiomics in predicting mutation status for thyroid cancer: A preliminary study using radiomics features for predicting BRAFV600E mutations in papillary thyroid carcinoma," PLOS ONE, Public Library of Science, vol. 15(2), pages 1-11, February.
    9. Lin Lu & Ross C Ehmke & Lawrence H Schwartz & Binsheng Zhao, 2016. "Assessing Agreement between Radiomic Features Computed for Multiple CT Imaging Settings," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-12, December.
    10. Clément Bailly & Caroline Bodet-Milin & Solène Couespel & Hatem Necib & Françoise Kraeber-Bodéré & Catherine Ansquer & Thomas Carlier, 2016. "Revisiting the Robustness of PET-Based Textural Features in the Context of Multi-Centric Trials," PLOS ONE, Public Library of Science, vol. 11(7), pages 1-16, July.
    11. Nai-Ming Cheng & Yu-Hua Dean Fang & Din-Li Tsan & Ching-Han Hsu & Tzu-Chen Yen, 2016. "Respiration-Averaged CT for Attenuation Correction of PET Images – Impact on PET Texture Features in Non-Small Cell Lung Cancer Patients," PLOS ONE, Public Library of Science, vol. 11(3), pages 1-15, March.
    12. Xiao Li & Michele Guindani & Chaan S. Ng & Brian P. Hobbs, 2021. "A Bayesian nonparametric model for textural pattern heterogeneity," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 70(2), pages 459-480, March.
    13. Luca Cozzi & Tiziana Comito & Antonella Fogliata & Ciro Franzese & Davide Franceschini & Cristiana Bonifacio & Angelo Tozzi & Lucia Di Brina & Elena Clerici & Stefano Tomatis & Giacomo Reggiori & Fran, 2019. "Computed tomography based radiomic signature as predictive of survival and local control after stereotactic body radiation therapy in pancreatic carcinoma," PLOS ONE, Public Library of Science, vol. 14(1), pages 1-11, January.
    14. Hyungjin Kim & Chang Min Park & Bhumsuk Keam & Sang Joon Park & Miso Kim & Tae Min Kim & Dong-Wan Kim & Dae Seog Heo & Jin Mo Goo, 2017. "The prognostic value of CT radiomic features for patients with pulmonary adenocarcinoma treated with EGFR tyrosine kinase inhibitors," PLOS ONE, Public Library of Science, vol. 12(11), pages 1-13, November.
    15. Jeff Wang & Fumi Kato & Noriko Oyama-Manabe & Ruijiang Li & Yi Cui & Khin Khin Tha & Hiroko Yamashita & Kohsuke Kudo & Hiroki Shirato, 2015. "Identifying Triple-Negative Breast Cancer Using Background Parenchymal Enhancement Heterogeneity on Dynamic Contrast-Enhanced MRI: A Pilot Radiomics Study," PLOS ONE, Public Library of Science, vol. 10(11), pages 1-17, November.

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