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Items: 20


[18F] FDG Positron Emission Tomography (PET) Tumor and Penumbra Imaging Features Predict Recurrence in Non-Small Cell Lung Cancer.

Mattonen SA, Davidzon GA, Bakr S, Echegaray S, Leung ANC, Vasanawala M, Horng G, Napel S, Nair VS.

Tomography. 2019 Mar;5(1):145-153. doi: 10.18383/j.tom.2018.00026.


A radiogenomic dataset of non-small cell lung cancer.

Bakr S, Gevaert O, Echegaray S, Ayers K, Zhou M, Shafiq M, Zheng H, Benson JA, Zhang W, Leung ANC, Kadoch M, Hoang CD, Shrager J, Quon A, Rubin DL, Plevritis SK, Napel S.

Sci Data. 2018 Oct 16;5:180202. doi: 10.1038/sdata.2018.202.


Quantitative Image Feature Engine (QIFE): an Open-Source, Modular Engine for 3D Quantitative Feature Extraction from Volumetric Medical Images.

Echegaray S, Bakr S, Rubin DL, Napel S.

J Digit Imaging. 2018 Aug;31(4):403-414. doi: 10.1007/s10278-017-0019-x.


Prediction of EGFR and KRAS mutation in non-small cell lung cancer using quantitative 18F FDG-PET/CT metrics.

Minamimoto R, Jamali M, Gevaert O, Echegaray S, Khuong A, Hoang CD, Shrager JB, Plevritis SK, Rubin DL, Leung AN, Napel S, Quon A.

Oncotarget. 2017 May 10;8(32):52792-52801. doi: 10.18632/oncotarget.17782. eCollection 2017 Aug 8.


Noninvasive radiomics signature based on quantitative analysis of computed tomography images as a surrogate for microvascular invasion in hepatocellular carcinoma: a pilot study.

Bakr S, Echegaray S, Shah R, Kamaya A, Louie J, Napel S, Kothary N, Gevaert O.

J Med Imaging (Bellingham). 2017 Oct;4(4):041303. doi: 10.1117/1.JMI.4.4.041303. Epub 2017 Aug 21.


Non-Small Cell Lung Cancer Radiogenomics Map Identifies Relationships between Molecular and Imaging Phenotypes with Prognostic Implications.

Zhou M, Leung A, Echegaray S, Gentles A, Shrager JB, Jensen KC, Berry GJ, Plevritis SK, Rubin DL, Napel S, Gevaert O.

Radiology. 2018 Jan;286(1):307-315. doi: 10.1148/radiol.2017161845. Epub 2017 Jul 20.


A Rapid Segmentation-Insensitive "Digital Biopsy" Method for Radiomic Feature Extraction: Method and Pilot Study Using CT Images of Non-Small Cell Lung Cancer.

Echegaray S, Nair V, Kadoch M, Leung A, Rubin D, Gevaert O, Napel S.

Tomography. 2016 Dec;2(4):283-294. doi: 10.18383/j.tom.2016.00163.


Radiomics of Lung Nodules: A Multi-Institutional Study of Robustness and Agreement of Quantitative Imaging Features.

Kalpathy-Cramer J, Mamomov A, Zhao B, Lu L, Cherezov D, Napel S, Echegaray S, Rubin D, McNitt-Gray M, Lo P, Sieren JC, Uthoff J, Dilger SK, Driscoll B, Yeung I, Hadjiiski L, Cha K, Balagurunathan Y, Gillies R, Goldgof D.

Tomography. 2016 Dec;2(4):430-437. doi: 10.18383/j.tom.2016.00235.


Predictive radiogenomics modeling of EGFR mutation status in lung cancer.

Gevaert O, Echegaray S, Khuong A, Hoang CD, Shrager JB, Jensen KC, Berry GJ, Guo HH, Lau C, Plevritis SK, Rubin DL, Napel S, Leung AN.

Sci Rep. 2017 Jan 31;7:41674. doi: 10.1038/srep41674.


Core samples for radiomics features that are insensitive to tumor segmentation: method and pilot study using CT images of hepatocellular carcinoma.

Echegaray S, Gevaert O, Shah R, Kamaya A, Louie J, Kothary N, Napel S.

J Med Imaging (Bellingham). 2015 Oct;2(4):041011. doi: 10.1117/1.JMI.2.4.041011. Epub 2015 Nov 18.


Magnetic resonance image features identify glioblastoma phenotypic subtypes with distinct molecular pathway activities.

Itakura H, Achrol AS, Mitchell LA, Loya JJ, Liu T, Westbroek EM, Feroze AH, Rodriguez S, Echegaray S, Azad TD, Yeom KW, Napel S, Rubin DL, Chang SD, Harsh GR 4th, Gevaert O.

Sci Transl Med. 2015 Sep 2;7(303):303ra138. doi: 10.1126/scitranslmed.aaa7582.


Glioblastoma Multiforme: Exploratory Radiogenomic Analysis by Using Quantitative Image Features.

Gevaert O, Mitchell LA, Achrol AS, Xu J, Echegaray S, Steinberg GK, Cheshier SH, Napel S, Zaharchuk G, Plevritis SK.

Radiology. 2015 Jul;276(1):313. doi: 10.1148/radiol.2015154019. No abstract available.


Glioblastoma multiforme: exploratory radiogenomic analysis by using quantitative image features.

Gevaert O, Mitchell LA, Achrol AS, Xu J, Echegaray S, Steinberg GK, Cheshier SH, Napel S, Zaharchuk G, Plevritis SK.

Radiology. 2014 Oct;273(1):168-74. doi: 10.1148/radiol.14131731. Epub 2014 May 12. Erratum in: Radiology. 2015 Jul;276(1):313.


Fast localization and segmentation of optic disk in retinal images using directional matched filtering and level sets.

Yu H, Barriga ES, Agurto C, Echegaray S, Pattichis MS, Bauman W, Soliz P.

IEEE Trans Inf Technol Biomed. 2012 Jul;16(4):644-57. doi: 10.1109/TITB.2012.2198668. Epub 2012 May 10.


Automated analysis of optic nerve images for detection and staging of papilledema.

Echegaray S, Zamora G, Yu H, Luo W, Soliz P, Kardon R.

Invest Ophthalmol Vis Sci. 2011 Sep 27;52(10):7470-8. doi: 10.1167/iovs.11-7484.


Assessing the risk of infection and rejection in Hispanic renal transplant recipients by means of an adenosine triphosphate release assay.

Cadillo-Chávez R, de Echegaray S, Santiago-Delpín EA, Rodríguez-Trinidad AT, Camacho-Carrazo B, Alfaro T, Saavedra-Pozo M, Carrasquillo L, González-Caraballo ZA, Morales-Otero LA.

Transplant Proc. 2006 Apr;38(3):918-20.


HLA is not predictive of posttransplant diabetes mellitus.

Torres-Romero LF, Santiago-Delpín EA, de Echegaray S, Solis DR, Rodriguez-Trinidad AT, Gonzalez-Caraballo ZA, Morales-Otero LA.

Transplant Proc. 2006 Apr;38(3):914-5.


Kidney transplantation in Puerto Rico: the first one thousand transplants.

Santiago-Delpín EA, González Caraballo ZA, Morales Otero LA, De Jesús Gómez GA, Zayas E, Rivé Mora E, Batlle F, Cruz N, Guerra C, Pérez JO, Torre-Leon F, de Echegaray S, Rodríguez Trinidad A, Saadé M.

Clin Transpl. 2003:155-64. No abstract available.


The histocompatibility profile of the Puerto Rican population.

Santiago-Delpín EA, de Echegaray S, Rivera-Cruz F, Rodríguez-Trinidad A.

Transplant Proc. 2002 Dec;34(8):3075-8. No abstract available.


Lipids, immunity and cancer.

de Echegaray SD, Santiago Delpín EA, Lavergne J.

Bol Asoc Med P R. 1982 Jul-Aug;74(7-8):231-3. No abstract available.


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