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Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2012 3
2013 3
2014 5
2015 33
2016 94
2017 254
2018 524
2019 908
2020 1517
2021 2016
2022 11
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4,763 results
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Page 1
Introduction to Radiomics.
Mayerhoefer ME, Materka A, Langs G, Häggström I, Szczypiński P, Gibbs P, Cook G. Mayerhoefer ME, et al. J Nucl Med. 2020 Apr;61(4):488-495. doi: 10.2967/jnumed.118.222893. Epub 2020 Feb 14. J Nucl Med. 2020. PMID: 32060219 Free article. Review.
Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics-the so-called radiomic features-within medical images. ...Current limitations of radiomics, such as sensitivity to acquisition parameter variations, and co
Radiomics is a rapidly evolving field of research concerned with the extraction of quantitative metrics-the so-called radiomic
A radiomics approach to assess tumour-infiltrating CD8 cells and response to anti-PD-1 or anti-PD-L1 immunotherapy: an imaging biomarker, retrospective multicohort study.
Sun R, Limkin EJ, Vakalopoulou M, Dercle L, Champiat S, Han SR, Verlingue L, Brandao D, Lancia A, Ammari S, Hollebecque A, Scoazec JY, Marabelle A, Massard C, Soria JC, Robert C, Paragios N, Deutsch E, Ferté C. Sun R, et al. Lancet Oncol. 2018 Sep;19(9):1180-1191. doi: 10.1016/S1470-2045(18)30413-3. Epub 2018 Aug 14. Lancet Oncol. 2018. PMID: 30120041
From 84 input variables used for the machine-learning method (78 radiomic features, five location variables, and one technical variable), a radiomics-based predictor of the CD8 cell expression signature was built by use of machine learning (elastic-net regularised r …
From 84 input variables used for the machine-learning method (78 radiomic features, five location variables, and one technical variab …
Applications and limitations of radiomics.
Yip SS, Aerts HJ. Yip SS, et al. Phys Med Biol. 2016 Jul 7;61(13):R150-66. doi: 10.1088/0031-9155/61/13/R150. Epub 2016 Jun 8. Phys Med Biol. 2016. PMID: 27269645 Free PMC article. Review.
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe tumour phenotypes. ...In this technical review, we describe applications and challenges of the radiomic field. We will review rad
Radiomics is an emerging field in quantitative imaging that uses advanced imaging features to objectively and quantitatively describe
Beyond imaging: The promise of radiomics.
Avanzo M, Stancanello J, El Naqa I. Avanzo M, et al. Phys Med. 2017 Jun;38:122-139. doi: 10.1016/j.ejmp.2017.05.071. Epub 2017 Jun 7. Phys Med. 2017. PMID: 28595812 Review.
The domain of investigation of radiomics consists of large-scale radiological image analysis and association with biological or clinical endpoints. The purpose of the present study is to provide a recent update on the status of this rapidly emerging field by performing a s …
The domain of investigation of radiomics consists of large-scale radiological image analysis and association with biological or clini …
Radiomics of pulmonary nodules and lung cancer.
Wilson R, Devaraj A. Wilson R, et al. Transl Lung Cancer Res. 2017 Feb;6(1):86-91. doi: 10.21037/tlcr.2017.01.04. Transl Lung Cancer Res. 2017. PMID: 28331828 Free PMC article. Review.
In contrast to conventional visual image features radiomics can extract substantially greater numbers of nodule features with much better reproducibility. This paper summarizes the basic process of radiomics and outlines why radiomic feature analysis may be p …
In contrast to conventional visual image features radiomics can extract substantially greater numbers of nodule features with much be …
Computational Radiomics System to Decode the Radiographic Phenotype.
van Griethuysen JJM, Fedorov A, Parmar C, Hosny A, Aucoin N, Narayan V, Beets-Tan RGH, Fillion-Robin JC, Pieper S, Aerts HJWL. van Griethuysen JJM, et al. Cancer Res. 2017 Nov 1;77(21):e104-e107. doi: 10.1158/0008-5472.CAN-17-0339. Cancer Res. 2017. PMID: 29092951 Free PMC article.
Radiomics aims to quantify phenotypic characteristics on medical imaging through the use of automated algorithms. ...Source code, documentation, and examples are publicly available at www.radiomics.io With this platform, we aim to establish a reference standard for
Radiomics aims to quantify phenotypic characteristics on medical imaging through the use of automated algorithms. ...Source code, doc
Radiomics in medical imaging-"how-to" guide and critical reflection.
van Timmeren JE, Cester D, Tanadini-Lang S, Alkadhi H, Baessler B. van Timmeren JE, et al. Insights Imaging. 2020 Aug 12;11(1):91. doi: 10.1186/s13244-020-00887-2. Insights Imaging. 2020. PMID: 32785796 Free PMC article. Review.
Various studies from different fields in imaging have been published so far, highlighting the potential of radiomics to enhance clinical decision-making. However, the field faces several important challenges, which are mainly caused by the various technical factors influen …
Various studies from different fields in imaging have been published so far, highlighting the potential of radiomics to enhance clini …
Radiomics of Liver Metastases: A Systematic Review.
Fiz F, Viganò L, Gennaro N, Costa G, La Bella L, Boichuk A, Cavinato L, Sollini M, Politi LS, Chiti A, Torzilli G. Fiz F, et al. Cancers (Basel). 2020 Oct 7;12(10):2881. doi: 10.3390/cancers12102881. Cancers (Basel). 2020. PMID: 33036490 Free PMC article. Review.
English language original articles published before June 2020 and concerning radiomics of LM extracted from CT, MRI, or PET-CT were considered. ...The commonest limitations of studies were small sample size, retrospective design, lack of validation datasets, and unavailabi …
English language original articles published before June 2020 and concerning radiomics of LM extracted from CT, MRI, or PET-CT were c …
Radiomic analysis of contrast-enhanced CT predicts microvascular invasion and outcome in hepatocellular carcinoma.
Xu X, Zhang HL, Liu QP, Sun SW, Zhang J, Zhu FP, Yang G, Yan X, Zhang YD, Liu XS. Xu X, et al. J Hepatol. 2019 Jun;70(6):1133-1144. doi: 10.1016/j.jhep.2019.02.023. Epub 2019 Mar 13. J Hepatol. 2019. PMID: 30876945
METHODS: In total, 495 surgically resected patients were retrospectively included. MVI-related radiomic scores (R-scores) were built from 7,260 radiomic features in 6 target volumes. Six R-scores, 15 clinical factors, and 12 radiographic scores were integrated into …
METHODS: In total, 495 surgically resected patients were retrospectively included. MVI-related radiomic scores (R-scores) were built …
Radiomics: the facts and the challenges of image analysis.
Rizzo S, Botta F, Raimondi S, Origgi D, Fanciullo C, Morganti AG, Bellomi M. Rizzo S, et al. Eur Radiol Exp. 2018 Nov 14;2(1):36. doi: 10.1186/s41747-018-0068-z. Eur Radiol Exp. 2018. PMID: 30426318 Free PMC article. Review.
Radiomics is an emerging translational field of research aiming to extract mineable high-dimensional data from clinical images. ...After the definition of texture parameters (shape features; first-, second-, and higher-order features), we briefly discuss the origin of the
Radiomics is an emerging translational field of research aiming to extract mineable high-dimensional data from clinical images. ...Af
4,763 results