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Best matches for radiomics OR radiomic:

Beyond imaging: The promise of radiomics. Avanzo M et al. Phys Med. (2017)

Radiomics: the bridge between medical imaging and personalized medicine. Lambin P et al. Nat Rev Clin Oncol. (2017)

Radiomics: the process and the challenges. Kumar V et al. Magn Reson Imaging. (2012)

Search results

Items: 1 to 20 of 848

1.

Texture Analysis of Imaging: What Radiologists Need to Know.

Varghese BA, Cen SY, Hwang DH, Duddalwar VA.

AJR Am J Roentgenol. 2019 Jan 15:1-9. doi: 10.2214/AJR.18.20624. [Epub ahead of print]

PMID:
30645163
2.

Integrative nomogram of CT imaging, clinical, and hematological features for survival prediction of patients with locally advanced non-small cell lung cancer.

Wang L, Dong T, Xin B, Xu C, Guo M, Zhang H, Feng D, Wang X, Yu J.

Eur Radiol. 2019 Jan 14. doi: 10.1007/s00330-018-5949-2. [Epub ahead of print]

PMID:
30643940
3.

[Development of a radiomics signature to predict Ki-67 expression level in non-small cell lung cancer].

Gu Q, Feng Z, Liang Q, Li M, Wang W, Rong P.

Zhong Nan Da Xue Xue Bao Yi Xue Ban. 2018 Nov 28;43(11):1216-1222. doi: 10.11817/j.issn.1672-7347.2018.11.008. Chinese.

PMID:
30643066
4.

Development and validation of a magnetic resonance imaging-based model for the prediction of distant metastasis before initial treatment of nasopharyngeal carcinoma: A retrospective cohort study.

Zhang L, Dong D, Li H, Tian J, Ouyang F, Mo X, Zhang B, Luo X, Lian Z, Pei S, Dong Y, Huang W, Liang C, Liu J, Zhang S.

EBioMedicine. 2019 Jan 11. pii: S2352-3964(19)30013-1. doi: 10.1016/j.ebiom.2019.01.013. [Epub ahead of print]

PMID:
30642750
5.

Predicting locally advanced rectal cancer response to neoadjuvant therapy with 18F-FDG PET and MRI radiomics features.

Giannini V, Mazzetti S, Bertotto I, Chiarenza C, Cauda S, Delmastro E, Bracco C, Di Dia A, Leone F, Medico E, Pisacane A, Ribero D, Stasi M, Regge D.

Eur J Nucl Med Mol Imaging. 2019 Jan 13. doi: 10.1007/s00259-018-4250-6. [Epub ahead of print]

PMID:
30637502
6.

Brain MR Radiomics to Differentiate Cognitive Disorders.

Ranjbar S, Velgos SN, Dueck AC, Geda YE, Mitchell JR; Alzheimer's Disease Neuroimaging Initiative.

J Neuropsychiatry Clin Neurosci. 2019 Jan 14:appineuropsych17120366. doi: 10.1176/appi.neuropsych.17120366. [Epub ahead of print]

PMID:
30636564
7.

Differentiation between glioblastoma, brain metastasis and subtypes using radiomics analysis.

Artzi M, Bressler I, Ben Bashat D.

J Magn Reson Imaging. 2019 Jan 11. doi: 10.1002/jmri.26643. [Epub ahead of print]

PMID:
30635952
8.
9.

Multicenter CT phantoms public dataset for radiomics reproducibility tests.

Kalendralis P, Traverso A, Shi Z, Zhovannik I, Monshouwer R, Starmans MPA, Klein S, Pfaehler E, Boellaard R, Dekker A, Wee L.

Med Phys. 2019 Jan 10. doi: 10.1002/mp.13385. [Epub ahead of print]

PMID:
30629299
10.

Radiomics - the value of the numbers in present and future radiology.

Patyk M, Silicki J, Mazur R, Kręcichwost R, Sokołowska-Dąbek D, Zaleska-Dorobisz U.

Pol J Radiol. 2018 Apr 24;83:e171-e174. doi: 10.5114/pjr.2018.75794. eCollection 2018. Review.

11.

Use of Radiomics Combined With Machine Learning Method in the Recurrence Patterns After Intensity-Modulated Radiotherapy for Nasopharyngeal Carcinoma: A Preliminary Study.

Li S, Wang K, Hou Z, Yang J, Ren W, Gao S, Meng F, Wu P, Liu B, Liu J, Yan J.

Front Oncol. 2018 Dec 21;8:648. doi: 10.3389/fonc.2018.00648. eCollection 2018.

12.

Radiomics in Pulmonary Lesion Imaging.

Hassani C, Varghese BA, Nieva J, Duddalwar V.

AJR Am J Roentgenol. 2019 Jan 8:1-8. doi: 10.2214/AJR.18.20623. [Epub ahead of print]

PMID:
30620678
13.

Predicting Gleason Score of Prostate Cancer Patients Using Radiomic Analysis.

Chaddad A, Niazi T, Probst S, Bladou F, Anidjar M, Bahoric B.

Front Oncol. 2018 Dec 18;8:630. doi: 10.3389/fonc.2018.00630. eCollection 2018.

14.

[Value of imaging in upper urinary tract tumors].

Schulz GB, Gresser EK, Casuscelli J, Strittmatter F, Tritschler S, Karl A, Stief CG, Nörenberg D.

Urologe A. 2019 Jan 7. doi: 10.1007/s00120-018-0828-7. [Epub ahead of print] Review. German.

PMID:
30617530
15.

Radiomic analysis of imaging heterogeneity in tumours and the surrounding parenchyma based on unsupervised decomposition of DCE-MRI for predicting molecular subtypes of breast cancer.

Fan M, Zhang P, Wang Y, Peng W, Wang S, Gao X, Xu M, Li L.

Eur Radiol. 2019 Jan 7. doi: 10.1007/s00330-018-5891-3. [Epub ahead of print]

PMID:
30617495
16.

Predictive value of pretreatment MRI texture analysis in patients with primary nasopharyngeal carcinoma.

Mao J, Fang J, Duan X, Yang Z, Cao M, Zhang F, Lu L, Zhang X, Wu X, Ding Y, Shen J.

Eur Radiol. 2019 Jan 7. doi: 10.1007/s00330-018-5961-6. [Epub ahead of print]

PMID:
30617473
17.

Noninvasive molecular diagnosis of craniopharyngioma with MRI-based radiomics approach.

Chen X, Tong Y, Shi Z, Chen H, Yang Z, Wang Y, Chen L, Yu J.

BMC Neurol. 2019 Jan 7;19(1):6. doi: 10.1186/s12883-018-1216-z.

18.

Radiomics Analysis of Gadoxetic Acid-enhanced MRI for Staging Liver Fibrosis.

Park HJ, Lee SS, Park B, Yun J, Sung YS, Shim WH, Shin YM, Kim SY, Lee SJ, Lee MG.

Radiology. 2018 Dec 4:181197. doi: 10.1148/radiol.2018181197. [Epub ahead of print]

PMID:
30615554
19.

Radiomic signature of 18F fluorodeoxyglucose PET/CT for prediction of gastric cancer survival and chemotherapeutic benefits.

Jiang Y, Yuan Q, Lv W, Xi S, Huang W, Sun Z, Chen H, Zhao L, Liu W, Hu Y, Lu L, Ma J, Li T, Yu J, Wang Q, Li G.

Theranostics. 2018 Nov 12;8(21):5915-5928. doi: 10.7150/thno.28018. eCollection 2018.

20.

Can CT radiomic analysis in NSCLC predict histology and EGFR mutation status?

Digumarthy SR, Padole AM, Gullo RL, Sequist LV, Kalra MK.

Medicine (Baltimore). 2019 Jan;98(1):e13963. doi: 10.1097/MD.0000000000013963.

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