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2012 3
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8,584 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 PMC 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 …
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 …
Radiomics and artificial intelligence in lung cancer screening.
Binczyk F, Prazuch W, Bozek P, Polanska J. Binczyk F, et al. Transl Lung Cancer Res. 2021 Feb;10(2):1186-1199. doi: 10.21037/tlcr-20-708. Transl Lung Cancer Res. 2021. PMID: 33718055 Free PMC article. Review.
To date, more than 100 features have been defined, although this number varies depending on the application. The greatest challenge in radiomics is building a cross-validated model based on a selected set of calculated features known as the radiomic signature. Numer …
To date, more than 100 features have been defined, although this number varies depending on the application. The greatest challenge in ra …
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 …
An MRI radiomics approach to predict survival and tumour-infiltrating macrophages in gliomas.
Li G, Li L, Li Y, Qian Z, Wu F, He Y, Jiang H, Li R, Wang D, Zhai Y, Wang Z, Jiang T, Zhang J, Zhang W. Li G, et al. Brain. 2022 Apr 29;145(3):1151-1161. doi: 10.1093/brain/awab340. Brain. 2022. PMID: 35136934 Free PMC article.
Radiomic features (1731) were extracted from preoperative T2-weighted MRI images of 167 gliomas (discovery cohort) collected from Beijing Tiantan Hospital and then used to develop a radiomics prediction model through a machine learning-based method. ...The radiom …
Radiomic features (1731) were extracted from preoperative T2-weighted MRI images of 167 gliomas (discovery cohort) collected from Bei …
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 …
Magnetic resonance imaging radiomics predicts preoperative axillary lymph node metastasis to support surgical decisions and is associated with tumor microenvironment in invasive breast cancer: A machine learning, multicenter study.
Yu Y, He Z, Ouyang J, Tan Y, Chen Y, Gu Y, Mao L, Ren W, Wang J, Lin L, Wu Z, Liu J, Ou Q, Hu Q, Li A, Chen K, Li C, Lu N, Li X, Su F, Liu Q, Xie C, Yao H. Yu Y, et al. EBioMedicine. 2021 Jul;69:103460. doi: 10.1016/j.ebiom.2021.103460. Epub 2021 Jul 4. EBioMedicine. 2021. PMID: 34233259 Free PMC article. Clinical Trial.
After applying the machine learning random forest algorithm to select the key preoperative MRI radiomic features, we used ALN and tumor radiomic features to develop the ALN-tumor radiomic signature for ALN status prediction by the support vector machine algor …
After applying the machine learning random forest algorithm to select the key preoperative MRI radiomic features, we used ALN and tum …
State of Radiomics in Glioblastoma.
Taha B, Boley D, Sun J, Chen CC. Taha B, et al. Neurosurgery. 2021 Jul 15;89(2):177-184. doi: 10.1093/neuros/nyab124. Neurosurgery. 2021. PMID: 33913492 Review.
Pertaining to glioblastoma, radiomics has provided powerful, noninvasive tools for gaining insights into pathogenesis and therapeutic responses. ...In this article, we review advances in the field of glioblastoma radiomics as they pertain to prediction of IDH mutati …
Pertaining to glioblastoma, radiomics has provided powerful, noninvasive tools for gaining insights into pathogenesis and therapeutic …
Radiomics in precision medicine for gastric cancer: opportunities and challenges.
Chen Q, Zhang L, Liu S, You J, Chen L, Jin Z, Zhang S, Zhang B. Chen Q, et al. Eur Radiol. 2022 Sep;32(9):5852-5868. doi: 10.1007/s00330-022-08704-8. Epub 2022 Mar 22. Eur Radiol. 2022. PMID: 35316364 Review.
Efforts towards standardization and collaboration are needed to utilize radiomics for clinical application. KEY POINTS: Radiomics application of gastric cancer is increasingly being reported, particularly in predicting therapy response and survival. ...Standardized …
Efforts towards standardization and collaboration are needed to utilize radiomics for clinical application. KEY POINTS: Radiomics …
Radiomics in Nasopharyngeal Carcinoma.
Duan W, Xiong B, Tian T, Zou X, He Z, Zhang L. Duan W, et al. Clin Med Insights Oncol. 2022 Feb 24;16:11795549221079186. doi: 10.1177/11795549221079186. eCollection 2022. Clin Med Insights Oncol. 2022. PMID: 35237090 Free PMC article. Review.
The process of radiomic research includes image segmentation, feature extraction, feature selection, model establishment, and evaluation. ...The development of machine-learning algorithms provides more possibilities for radiomics research. This review aimed to summa …
The process of radiomic research includes image segmentation, feature extraction, feature selection, model establishment, and evaluat …
8,584 results