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Institution

Jewish Hospital

HealthcareCincinnati, Ohio, United States
About: Jewish Hospital is a healthcare organization based out in Cincinnati, Ohio, United States. It is known for research contribution in the topics: Antigen & Population. The organization has 3881 authors who have published 3414 publications receiving 123044 citations.


Papers
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Journal ArticleDOI
TL;DR: It is hypothesized that SOD3 gene expression is decreased in patients with IPAH due to aberrant DNA methylation and/or histone deacetylation, and HDAC inhibitors may protect IPAH in part by increasing PASMC S OD3 expression.
Abstract: Epigenetic mechanisms, including DNA methylation and histone acetylation, regulate gene expression in idiopathic pulmonary arterial hypertension (IPAH). These mechanisms can modulate expression of ...

35 citations

Proceedings ArticleDOI
01 Sep 2012
TL;DR: Preliminary experiments show that the proposed 2D approach based on analyzing the spatial distribution of Hounsfield values for the detected lung nodules is a promising supplement to current technologies (biopsy-based diagnostic systems) for the early diagnosis of lung cancer.
Abstract: A novel 2D approach for early assessment of malignant lung nodules based on analyzing the spatial distribution of Hounsfield values for the detected lung nodules is proposed. Spatial distribution of Hounsfield values comprising the malignant nodule appearance is accurately modeled with a new 2D rotationally invariant second-order Markov-Gibbs Random Field (MGRF). Preliminary experiments on 109 lung nodules (51 malignant and 58 benign) show that the proposed method is a promising supplement to current technologies (biopsy-based diagnostic systems) for the early diagnosis of lung cancer.

35 citations

Journal Article
TL;DR: Rigid Ureteroscopy for extraction of ureteral calculi during pregnancy is efficient and safe and there were no complications due to the procedure and all pregnancies were carried to full term.
Abstract: OBJECTIVE To evaluate ureteroscopy as a treatment option for women presenting ureteral calculi during pregnancy. MATERIALS AND METHODS Eighteen pregnant patients presenting renal colic and indication of surgical treatment for ureteral calculi were analyzed. Patients were 20 to 34 years old (medium = 28), and the gestation period ranged from 12 to 34 weeks (medium = 18). Lumbar pain was present in 14 patients, and 4 had diffuse abdominal pain. Four patients were febrile in the occasion of the examination. Thirteen patients presented microscopic hematuria, 8 leucocituria, and 4 positive urine culture. The stone was detected by ultrasonography (US) in 12 patients. Magnetic resonance imaging (MRI) was performed in 2 cases, and did not demonstrate calculi. The stone location was: 1 in the superior ureter (pregnancy of 15 weeks), 4 in the medium ureter (pregnancy of 12, 15, 18 and 20 weeks), 12 in the inferior ureter, and 1 was not determined. The surgical indication was difficult pain control, fever, and presence of uterine contractions. RESULTS Double-J insertion, as single treatment, was possible in 4 patients and it was kept in place for up to 2 weeks after delivery. Among the patients submitted to ureteroscopy, the calculi retrieval was always possible, except in 1 case where the calculus was not located by US, MRI or ureteroscopy. In 2 patients, the ultrasonic lithotriptor was used and in 11 the stone was removed intact with a basket. There were no complications due to the procedure and all pregnancies were carried to full term. CONCLUSION Rigid ureteroscopy for extraction of ureteral calculi during pregnancy is efficient and safe.

35 citations

Proceedings ArticleDOI
23 Aug 2004
TL;DR: This paper proposes an algorithm for isolating lung abnormalities (nodules) from arteries, veins, bronchi, and bronchioles after all these objects have been already separated from the surrounding anatomical structures and combines normalized cross-correlation template matching by genetic optimization and Bayesian post-classification.
Abstract: Automatic detection and recognition of lung cancer during mass screening of spiral computer tomographic (CT) chest scans is one of the most important problems of today's medical image analysis. We propose an algorithm for isolating lung abnormalities (nodules) from arteries, veins, bronchi, and bronchioles after all these objects have been already separated from the surrounding anatomical structures. The separation is presented elsewhere, and this paper focuses on nodule detection using deformable 3D and 2D templates describing typical geometry and gray level distribution within the nodules of the same type. The detection combines normalized cross-correlation template matching by genetic optimization and Bayesian post-classification. Experiments with 200 spiral low dose CT (LDCT) scans confirm the accuracy of our approach.

35 citations


Authors

Showing all 3894 results

NameH-indexPapersCitations
John C. Morris1831441168413
David L. Kaplan1771944146082
Robert H. Purcell13966670366
Nancy J. Cox135778109195
Jennifer S. Haas12884071315
David A. Cheresh12533762252
John W. Kappler12246457541
Philippa Marrack12041654345
Arthur Weiss11738045703
Thomas J. Kipps11474863240
Michael Pollak11466357793
Peter M. Henson11236954246
Roberto Bolli11152844010
William D. Foulkes10868245013
David A. Lynch10871459678
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20232
202217
202148
202039
201944
201828