Literature DB >> 32767103

A decade of radiomics research: are images really data or just patterns in the noise?

Daniel Pinto Dos Santos1, Matthias Dietzel2, Bettina Baessler3.   

Abstract

KEY POINTS: • Although radiomics is potentially a promising approach to analyze medical image data, many pitfalls need to be considered to avoid a reproducibility crisis.• There is a translation gap in radiomics research, with many studies being published but so far little to no translation into clinical practice.• Going forward, more studies with higher levels of evidence are needed, ideally also focusing on prospective studies with relevant clinical impact.

Entities:  

Mesh:

Year:  2020        PMID: 32767103      PMCID: PMC7755615          DOI: 10.1007/s00330-020-07108-w

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  20 in total

Review 1.  Radiomics can differentiate high-grade glioma from brain metastasis: a systematic review and meta-analysis.

Authors:  Yuanzhen Li; Yujie Liu; Yingying Liang; Ruili Wei; Wanli Zhang; Wang Yao; Shiwei Luo; Xinrui Pang; Ye Wang; Xinqing Jiang; Shengsheng Lai; Ruimeng Yang
Journal:  Eur Radiol       Date:  2022-05-19       Impact factor: 5.315

2.  Discovery of Pre-Treatment FDG PET/CT-Derived Radiomics-Based Models for Predicting Outcome in Diffuse Large B-Cell Lymphoma.

Authors:  Russell Frood; Matthew Clark; Cathy Burton; Charalampos Tsoumpas; Alejandro F Frangi; Fergus Gleeson; Chirag Patel; Andrew F Scarsbrook
Journal:  Cancers (Basel)       Date:  2022-03-28       Impact factor: 6.639

3.  Machine learning solutions in radiology: does the emperor have no clothes?

Authors:  Renato Cuocolo; Massimo Imbriaco
Journal:  Eur Radiol       Date:  2021-04-15       Impact factor: 5.315

Review 4.  The Role of Radiomics in Lung Cancer: From Screening to Treatment and Follow-Up.

Authors:  Radouane El Ayachy; Nicolas Giraud; Paul Giraud; Catherine Durdux; Philippe Giraud; Anita Burgun; Jean Emmanuel Bibault
Journal:  Front Oncol       Date:  2021-05-05       Impact factor: 6.244

Review 5.  [Artificial intelligence in breast imaging : Areas of application from a clinical perspective].

Authors:  Pascal A T Baltzer
Journal:  Radiologe       Date:  2021-01-28       Impact factor: 0.635

6.  Position paper of the EACVI and EANM on artificial intelligence applications in multimodality cardiovascular imaging using SPECT/CT, PET/CT, and cardiac CT.

Authors:  Riemer H J A Slart; Michelle C Williams; Luis Eduardo Juarez-Orozco; Christoph Rischpler; Marc R Dweck; Andor W J M Glaudemans; Alessia Gimelli; Panagiotis Georgoulias; Olivier Gheysens; Oliver Gaemperli; Gilbert Habib; Roland Hustinx; Bernard Cosyns; Hein J Verberne; Fabien Hyafil; Paola A Erba; Mark Lubberink; Piotr Slomka; Ivana Išgum; Dimitris Visvikis; Márton Kolossváry; Antti Saraste
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-04-17       Impact factor: 9.236

7.  Radiomics in Oncology: A Practical Guide.

Authors:  Joshua D Shur; Simon J Doran; Santosh Kumar; Derfel Ap Dafydd; Kate Downey; James P B O'Connor; Nikolaos Papanikolaou; Christina Messiou; Dow-Mu Koh; Matthew R Orton
Journal:  Radiographics       Date:  2021-10       Impact factor: 6.312

8.  International Multi-Site Initiative to Develop an MRI-Inclusive Nomogram for Side-Specific Prediction of Extraprostatic Extension of Prostate Cancer.

Authors:  Andreas G Wibmer; Michael W Kattan; Francesco Alessandrino; Alexander D J Baur; Lars Boesen; Felipe Boschini Franco; David Bonekamp; Riccardo Campa; Hannes Cash; Violeta Catalá; Sebastien Crouzet; Sounil Dinnoo; James Eastham; Fiona M Fennessy; Kamyar Ghabili; Markus Hohenfellner; Angelique W Levi; Xinge Ji; Vibeke Løgager; Daniel J Margolis; Paul C Moldovan; Valeria Panebianco; Tobias Penzkofer; Philippe Puech; Jan Philipp Radtke; Olivier Rouvière; Heinz-Peter Schlemmer; Preston C Sprenkle; Clare M Tempany; Joan C Vilanova; Jeffrey Weinreb; Hedvig Hricak; Amita Shukla-Dave
Journal:  Cancers (Basel)       Date:  2021-05-27       Impact factor: 6.639

Review 9.  State of the Art in Artificial Intelligence and Radiomics in Hepatocellular Carcinoma.

Authors:  Anna Castaldo; Davide Raffaele De Lucia; Giuseppe Pontillo; Marco Gatti; Sirio Cocozza; Lorenzo Ugga; Renato Cuocolo
Journal:  Diagnostics (Basel)       Date:  2021-06-30

10.  Stability of Liver Radiomics across Different 3D ROI Sizes-An MRI In Vivo Study.

Authors:  Laura J Jensen; Damon Kim; Thomas Elgeti; Ingo G Steffen; Bernd Hamm; Sebastian N Nagel
Journal:  Tomography       Date:  2021-12-03
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