![]() ![]() Available in nearby Riverdale, New Jersey, this machine scans as fast as 0.35 seconds per rotation, limiting patient scan time and radiation exposure up to 70%. ![]() It can scan whole-body trauma in ten seconds without sacrificing image quality or diagnostic results. Our Siemens 1.5 wide short bore Open MRI machine offers clear images for the doctor and a calm non-claustrophobic MRI experience for the patient.ĬT Scan (Cat Scan) – Progressive Diagnostic Imaging offers the GE Lightspeed VCT 64 Slice CT Scanner. Open MRI – From a patient’s head, neck, spine, and chest to all extremities. Open MRI, CT Scan, Ultrasound, and X-Ray Services | Denville Morris County, NJ Progressive Diagnostic Imaging is happy to serve the residents of Denville and surrounding areas with Open MRI, CT Scan, Ultrasound & X-Ray services. Neighboring towns include the Morris Countycommunities, Mountain Lakes and Parsippany-Troy Hills to the east, Randolph to the south and west, Rockaway Borough to the west, and Rockaway Township to the north and west, as well as Boonton Township to the north. Denville is a township in Morris County with an approximate population was 16,750. Progressive Diagnostic Imaging provides imaging services to patients near Denville, NJ and also serves as a resource for Morris County Physicians. Progressive Diagnostic Imaging provides imaging services to patients near Denville, NJ, and also serves as a resource for Morris County Physicians. However, for assessing the appropriateness of a transplantation recipient based on Milan criteria, MDCT, S-MRI, and DC-MRI showed comparable diagnostic accuracy without a statistical difference.Diagnostic Imaging Services Near Denville NJ This result might be because of the small number of patients who had a critical number of HCCs (ie, 2 approximately 4 HCCs).ĭC-MRI showed significantly better diagnostic performance in transplantation candidates for the detection of HCCs, particularly small HCCs, than both MDCT and S-MRI. However, significant differences were not seen for the predictions determined by both radiologists (P = 0.384-1). The AZ value for predicting the appropriateness for LT was highest with the use of S-MRI (0.841), followed by the use of DC-MRI (0.830) and the use of MDCT (0.790). The use of DC-MRI was significantly better than the use of the other 2 modalities specifically for HCCs smaller than 2 cm in diameter (P < 0.001) although not for those larger than or equal to 2 cm (P = 0.125-1). In terms of detecting HCCs, the reader-averaged figure of merit was highest for DC-MRI (0.764), followed by S-MRI (0.702) and MDCT (0.672). Among 80 patients included for the assessment of eligibility for LT, 69 recipients were categorized as appropriate and the remaining 11 patients were found to be inappropriate for LT based on Milan criteria. Twenty-seven HCCs were larger than 2 cm in diameter and 55 HCCs were smaller than 2 cm in diameter. Diagnostic performance of the 3 imaging techniques was compared using jackknife alternative free-response receiver operating characteristic and ROC analyses.Įighty-two HCCs were detected in 38 of 78 patients. Image interpretation was compared with histopathological results on a lesion-by-lesion basis. ![]() Two radiologists independently recorded confidence levels using a 4- and 5-point scale for the presence of HCC and for the appropriateness regarding LT, respectively. Interval readings for MDCT, S-MRI, and DC-MRI were performed. MDCT and DC-MRI examinations with the sequential use of SPIO and gadolinium were performed in all patients. However, 2 patients in whom >10 HCCs were present were excluded from the analysis of detection performance of imaging modalities for HCC. During a 3-year period, 80 patients who underwent LT were enrolled in this study. Requirement for patient informed consent was waived. This retrospective study received Institutional Review Board approval. To retrospectively evaluate the diagnostic performance of multidetector row CT (MDCT), superparamagnetic iron oxide (SPIO)-enhanced MRI (S-MRI), and dual-contrast MRI (DC-MRI) in predicting the appropriateness of recipients with hepatocellular carcinoma (HCC) for liver transplantation (LT), based on Milan criteria. ![]()
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