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Items: 1 to 20 of 313

1.

Radiomics of 18F-FDG PET/CT images predicts clinical benefit of advanced NSCLC patients to checkpoint blockade immunotherapy.

Mu W, Tunali I, Gray JE, Qi J, Schabath MB, Gillies RJ.

Eur J Nucl Med Mol Imaging. 2019 Dec 5. doi: 10.1007/s00259-019-04625-9. [Epub ahead of print]

PMID:
31807885
2.

Improving survival prediction of high-grade glioma via machine learning techniques based on MRI radiomic, genetic and clinical risk factors.

Tan Y, Mu W, Wang XC, Yang GQ, Gillies RJ, Zhang H.

Eur J Radiol. 2019 Nov;120:108609. doi: 10.1016/j.ejrad.2019.07.010. Epub 2019 Jul 13.

PMID:
31606714
3.

Stability and reproducibility of computed tomography radiomic features extracted from peritumoral regions of lung cancer lesions.

Tunali I, Hall LO, Napel S, Cherezov D, Guvenis A, Gillies RJ, Schabath MB.

Med Phys. 2019 Nov;46(11):5075-5085. doi: 10.1002/mp.13808. Epub 2019 Sep 23.

PMID:
31494946
4.

Multi-window CT based Radiomic signatures in differentiating indolent versus aggressive lung cancers in the National Lung Screening Trial: a retrospective study.

Lu H, Mu W, Balagurunathan Y, Qi J, Abdalah MA, Garcia AL, Ye Z, Gillies RJ, Schabath MB.

Cancer Imaging. 2019 Jun 28;19(1):45. doi: 10.1186/s40644-019-0232-6.

5.

Quantitative Imaging features Improve Discrimination of Malignancy in Pulmonary nodules.

Balagurunathan Y, Schabath MB, Wang H, Liu Y, Gillies RJ.

Sci Rep. 2019 Jun 12;9(1):8528. doi: 10.1038/s41598-019-44562-z.

6.

Multiparametric MRI and Coregistered Histology Identify Tumor Habitats in Breast Cancer Mouse Models.

Jardim-Perassi BV, Huang S, Dominguez-Viqueira W, Poleszczuk J, Budzevich MM, Abdalah MA, Pillai SR, Ruiz E, Bui MM, Zuccari DAPC, Gillies RJ, Martinez GV.

Cancer Res. 2019 Aug 1;79(15):3952-3964. doi: 10.1158/0008-5472.CAN-19-0213. Epub 2019 Jun 11.

PMID:
31186232
7.

The role of carbonic anhydrase IX in cancer development: links to hypoxia, acidosis, and beyond.

Pastorekova S, Gillies RJ.

Cancer Metastasis Rev. 2019 Jun;38(1-2):65-77. doi: 10.1007/s10555-019-09799-0. Review.

8.

Preface.

Gillies RJ.

Cancer Metastasis Rev. 2019 Jun;38(1-2):3. doi: 10.1007/s10555-019-09798-1. No abstract available.

PMID:
31069573
9.

Erratum: Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors.

Parra NA, Lu H, Li Q, Stoyanova R, Pollack A, Punnen S, Choi J, Abdalah M, Lopez C, Gage K, Park JY, Kosj Y, Pow-Sang JM, Gillies RJ, Balagurunathan Y.

Oncotarget. 2019 Mar 12;10(21):2113. doi: 10.18632/oncotarget.26802. eCollection 2019 Mar 12.

10.

Causes, consequences, and therapy of tumors acidosis.

Pillai SR, Damaghi M, Marunaka Y, Spugnini EP, Fais S, Gillies RJ.

Cancer Metastasis Rev. 2019 Jun;38(1-2):205-222. doi: 10.1007/s10555-019-09792-7. Review.

PMID:
30911978
11.

Habitats in DCE-MRI to Predict Clinically Significant Prostate Cancers.

Parra NA, Lu H, Choi J, Gage K, Pow-Sang J, Gillies RJ, Balagurunathan Y.

Tomography. 2019 Mar;5(1):68-76. doi: 10.18383/j.tom.2018.00037.

12.

Novel clinical and radiomic predictors of rapid disease progression phenotypes among lung cancer patients treated with immunotherapy: An early report.

Tunali I, Gray JE, Qi J, Abdalah M, Jeong DK, Guvenis A, Gillies RJ, Schabath MB.

Lung Cancer. 2019 Mar;129:75-79. doi: 10.1016/j.lungcan.2019.01.010. Epub 2019 Jan 23.

PMID:
30797495
13.

Artificial intelligence in cancer imaging: Clinical challenges and applications.

Bi WL, Hosny A, Schabath MB, Giger ML, Birkbak NJ, Mehrtash A, Allison T, Arnaout O, Abbosh C, Dunn IF, Mak RH, Tamimi RM, Tempany CM, Swanton C, Hoffmann U, Schwartz LH, Gillies RJ, Huang RY, Aerts HJWL.

CA Cancer J Clin. 2019 Mar;69(2):127-157. doi: 10.3322/caac.21552. Epub 2019 Feb 5. Review.

14.

Targeting acidity in cancer and diabetes.

Gillies RJ, Pilot C, Marunaka Y, Fais S.

Biochim Biophys Acta Rev Cancer. 2019 Apr;1871(2):273-280. doi: 10.1016/j.bbcan.2019.01.003. Epub 2019 Jan 30. Review.

PMID:
30708040
15.

In vivo positron emission tomographic blood pool imaging in an immunodeficient mouse model using 18F-fluorodeoxyglucose labeled human erythrocytes.

Choi JW, Budzevich M, Wang S, Gage K, Estrella V, Gillies RJ.

PLoS One. 2019 Jan 25;14(1):e0211012. doi: 10.1371/journal.pone.0211012. eCollection 2019.

16.

Predicting clinically significant prostate cancer using DCE-MRI habitat descriptors.

Parra NA, Lu H, Li Q, Stoyanova R, Pollack A, Punnen S, Choi J, Abdalah M, Lopez C, Gage K, Park JY, Kosj Y, Pow-Sang JM, Gillies RJ, Balagurunathan Y.

Oncotarget. 2018 Dec 14;9(98):37125-37136. doi: 10.18632/oncotarget.26437. eCollection 2018 Dec 14. Erratum in: Oncotarget. 2019 Mar 12;10(21):2113. Parra, Andres N [corrected to Parra, N Andres].

17.

Delta Radiomics Improves Pulmonary Nodule Malignancy Prediction in Lung Cancer Screening.

Alahmari SS, Cherezov D, Goldgof D, Hall L, Gillies RJ, Schabath MB.

IEEE Access. 2018;6:77796-77806. doi: 10.1109/ACCESS.2018.2884126. Epub 2018 Nov 29.

18.

Delta radiomic features improve prediction for lung cancer incidence: A nested case-control analysis of the National Lung Screening Trial.

Cherezov D, Hawkins SH, Goldgof DB, Hall LO, Liu Y, Li Q, Balagurunathan Y, Gillies RJ, Schabath MB.

Cancer Med. 2018 Dec;7(12):6340-6356. doi: 10.1002/cam4.1852. Epub 2018 Dec 1.

19.

Deep learning for lung cancer prognostication: A retrospective multi-cohort radiomics study.

Hosny A, Parmar C, Coroller TP, Grossmann P, Zeleznik R, Kumar A, Bussink J, Gillies RJ, Mak RH, Aerts HJWL.

PLoS Med. 2018 Nov 30;15(11):e1002711. doi: 10.1371/journal.pmed.1002711. eCollection 2018 Nov.

20.

Quantitative imaging of cancer in the postgenomic era: Radio(geno)mics, deep learning, and habitats.

Napel S, Mu W, Jardim-Perassi BV, Aerts HJWL, Gillies RJ.

Cancer. 2018 Dec 15;124(24):4633-4649. doi: 10.1002/cncr.31630. Epub 2018 Nov 1. Review.

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