Jewish Hospital

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.

Accuracy of implanted port placement with the use of the electromagnetic CathTrack catheter locator system.

Abstract: Purpose To test whether an electromagnetic guidance system such as CathTrack would allow long-term central venous access devices to be reliably placed at a decreased cost and without radiation exposure to patients and staff. The following study was undertaken to verify accuracy of the CathTrack system for catheter placement and to develop guidelines for its use. Methods Twenty-nine consecutive patients were prospectively enrolled in the study and taken to the operating room for implantation of a permanent central venous access port. By protocol, the CathTrack system was used to guide initial catheter positioning using the center of the third intercostal space along the right sternal border as the desired external target. Fluoroscopy was then used to visualize tip position and relocate the catheter tip to the exact position desired by the surgeon. Results Catheter placement using the CathTrack system was successfully accomplished in 27 out of 29 patients. In two instances CathTrack was abandoned and fluoroscopy utilized because of difficulty in threading the initial guidewire into the superior vena cava. Conclusion The CathTrack electromagnetic locator system can be used to reliably position catheters for the establishment of long-term central venous access. Decreased cost and elimination of radiation exposure are distinct advantages of this system over fluoroscopy.

Early assessment of malignant lung nodules based on the spatial analysis of detected lung nodules

Abstract: We propose a novel approach for diagnosing malignant lung nodules based on analyzing the spatial distribution of Hounsfield values for the detected lung nodules. Spatial distribution of image intensities (or Hounsfield values) comprising the malignant nodule appearance is accurately modeled with a new rotationally invariant second-order Markov-Gibbs Random Field (MGRF). In this paper, we introduce a new maximum likelihood estimation approach to estimate the neighborhood system of the proposed rotation invariant MGRF and its potentials from a training set of nodule images with normalized intensity ranges. Preliminary experiments on 327 lung nodules (153 malignant and 174 benign) resulted in the 91.1% correct classification (for the 95% confidence interval), showing the proposed method is a promising supplement to current technologies (biopsy-based diagnostic systems) for the early diagnosis of lung cancer.