Performance of native and gadoxetate-enhanced liver and spleen T 1 mapping for noninvasive diagnosis of clinically significant portal hypertension: preliminary results.

Autor: Altinmakas E; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Radiology, Koc University School of Medicine, Istanbul, Turkey., Bane O; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Hectors SJ; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Issa R; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA., Carbonell G; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Radiology, Virgen de La Arrixaca University Clinical Hospital, University of Murcia, Murcia, Spain., Abboud G; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Schiano TD; Icahn School of Medicine at Mount Sinai, Recanati/Miller Transplantation Institute, New York, NY, USA., Thung S; Department of Pathology, Molecular and Cell Based Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Fischman A; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA., Kelly MD; Perspectum, Oxford, UK., Friedman SL; Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Kennedy P; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Taouli B; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA. bachir.taouli@mountsinai.org.; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bachir.taouli@mountsinai.org.

Publikováno v: Abdominal radiology (New York) [Abdom Radiol (NY)] 2022 Nov; Vol. 47 (11), pp. 3758-3769. Date of Electronic Publication: 2022 Sep 09.

Magnetic Resonance Imaging Radiomics-Based Machine Learning Prediction of Clinically Significant Prostate Cancer in Equivocal PI-RADS 3 Lesions.

Autor: Hectors SJ; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Chen C; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Chen J; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Wang J; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Gordon S; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Yu M; Department of Urology, Weill Cornell Medicine, New York, New York, USA., Al Hussein Al Awamlh B; Department of Urology, Weill Cornell Medicine, New York, New York, USA., Sabuncu MR; School of Electrical and Computer Engineering, Cornell University, New York, USA., Margolis DJA; Department of Radiology, Weill Cornell Medicine, New York, New York, USA., Hu JC; Department of Urology, Weill Cornell Medicine, New York, New York, USA.

Publikováno v: Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2021 Nov; Vol. 54 (5), pp. 1466-1473. Date of Electronic Publication: 2021 May 10.

Early effect of ⁹⁰ Y radioembolisation on hepatocellular carcinoma and liver parenchyma stiffness measured with MR elastography: initial experience.

Autor: Kennedy P; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Lewis S; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA., Bane O; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Hectors SJ; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Radiology, Weill Cornell Medicine, New York, NY, USA., Kim E; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA., Schwartz M; Recanati/Miller Transplantation Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Taouli B; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bachir.taouli@mountsinai.org.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Avenue, New York, NY, 10029, USA. bachir.taouli@mountsinai.org.

Publikováno v: European radiology [Eur Radiol] 2021 Aug; Vol. 31 (8), pp. 5791-5801. Date of Electronic Publication: 2021 Jan 21.

Fully automated prediction of liver fibrosis using deep learning analysis of gadoxetic acid-enhanced MRI.

Autor: Hectors SJ; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; Department of Radiology, Weill Cornell Medicine, New York, NY, USA., Kennedy P; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA., Huang KH; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Prealize Health, Palo Alto, CA, USA., Stocker D; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; Institute of Interventional and Diagnostic Radiology, University Hospital Zurich and University of Zurich, Zurich, Switzerland., Carbonell G; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA.; Department of Radiology, Virgen de la Arrixaca University Clinical Hospital, University of Murcia, Murcia, Spain., Greenspan H; Medical Imaging Processing Lab, Faculty of Engineering, Department of Biomedical Engineering, Tel Aviv University, Tel Aviv, Israel., Friedman S; Division of Liver Diseases, Icahn School of Medicine at Mount Sinai, New York, NY, USA., Taouli B; BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA. bachir.taouli@mountsinai.org.; Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, 1470 Madison Ave, New York, NY, 10029, USA. bachir.taouli@mountsinai.org.

Publikováno v: European radiology [Eur Radiol] 2021 Jun; Vol. 31 (6), pp. 3805-3814. Date of Electronic Publication: 2020 Nov 17.

Multivariate analysis of CT imaging, laboratory, and demographical features for prediction of acute kidney injury in COVID-19 patients: a Bi-centric analysis.

Autor: Hectors SJ; Department of Radiology, Weill Medical College of Cornell University, 515 E 71st St, Office S-117, New York, NY, 10021, USA. sjh4002@med.cornell.edu., Riyahi S; Department of Radiology, Weill Medical College of Cornell University, 515 E 71st St, Office S-117, New York, NY, 10021, USA., Dev H; Department of Radiology, Weill Medical College of Cornell University, 515 E 71st St, Office S-117, New York, NY, 10021, USA., Krishnan K; Department of Radiology, Weill Medical College of Cornell University, 515 E 71st St, Office S-117, New York, NY, 10021, USA., Margolis DJA; Department of Radiology, Weill Medical College of Cornell University, 515 E 71st St, Office S-117, New York, NY, 10021, USA., Prince MR; Department of Radiology, Weill Medical College of Cornell University, 515 E 71st St, Office S-117, New York, NY, 10021, USA.; Department of Radiology, Columbia University Medical Center, New York, NY, USA.

Publikováno v: Abdominal radiology (New York) [Abdom Radiol (NY)] 2021 Apr; Vol. 46 (4), pp. 1651-1658. Date of Electronic Publication: 2020 Oct 24.