Anesthesia for radiologic procedures is usually provided in locations remote from the operating theater. The anesthesiologist is removed from the environment in which experienced support is available for the care of anesthetized patients. Therefore, reliable anesthetic techniques that cause the least perturbation in the patient's physiology are often preferred. This is a report of the application of a paravertebral and lumbar sympathetic block to provide anesthesia for the renal pelvis and ureter so that percutaneous radiologic procedures that involve the manipulation and dilation of those areas can be performed with minimal patient discomfort.
Download full-text PDF |
Source |
|---|
Publication Analysis
Top Keywords
Similar Publications
Lung long distance: histopathological changes in lung tissue after COVID-19 pneumonia.
Croat Med J
December 2024
Grgur Salai, University Hospital Dubrava, Avenija Gojka Šuška 6, 10000 Zagreb, Croatia,
Aim: To investigate histopathological changes in the lung tissue of long-COVID patients.
Methods: In this cross-sectional study, transbronchial lung biopsy was performed in long-COVID patients with persisting symptoms and radiological abnormalities. Histopathologic analyses were performed by using hematoxylin-eosin, Martius, Scarlet and Blue, Movat's, thyroid transcription factor 1, CD34, and CD68 staining.
Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review.
Cancer Med
January 2025
Department of Pediatric Surgery, Charité-Universitätsmedizin Berlin, Berlin, Germany.
Background: Medical images play an important role in diagnosis and treatment of pediatric solid tumors. The field of radiology, pathology, and other image-based diagnostics are getting increasingly important and advanced. This indicates a need for advanced image processing technology such as Deep Learning (DL).
View Article and Find Full Text PDFComparative Evaluation of Three Rapid Influenza Diagnostic Tests for Detection of Influenza A and B Viruses Using RT-PCR as Reference Method.
J Med Virol
January 2025
Radiology department, Tianjin Fifth Central Hospital, Tianjin, China.
To evaluate the performance of three rapid influenza diagnostic tests (RIDTs) for detecting influenza A and B viruses compared to RT-PCR. A total of 291 subjects with acute respiratory infections were enrolled. Respiratory specimens were collected and tested for influenza A and B viruses using three RIDTs.
View Article and Find Full Text PDFMachine-Learning Based Computed Tomography Radiomics Nomgram For Predicting Perineural Invasion In Gastric Cancer.
Curr Med Imaging
January 2025
Department of Radiology, Jiangxi Provincial People's Hospital, The First Affiliated Hospital of Nanchang Medical College, Nanchang, China.
Objective: The aim of this study was to develop and validate predictive models for perineural invasion (PNI) in gastric cancer (GC) using clinical factors and radiomics features derived from contrast-enhanced computed tomography (CE-CT) scans and to compare the performance of these models.
Methods: This study included 205 GC patients, who were randomly divided into a training set (n=143) and a validation set (n=62) in a 7:3 ratio. Optimal radiomics features were selected using the least absolute shrinkage and selection operator (LASSO) algorithm.
Can ACR TI-RADS predict the malignant risk of medullary thyroid cancer?
J Clin Transl Endocrinol
March 2025
Department of Ultrasound, Shanghai Tenth People's Hospital, Tongji University School of Medicine, Shanghai 200072, PR China.
Objectives: This study aimed to evaluate the diagnostic performance for medullary thyroid cancer (MTC) based on the 2017 Thyroid Imaging Reporting and Data System by the American College of Radiology (ACR TI-RADS) guideline, and the ability to recommend fine needle aspiration (FNA) for MTC.
Methods: Fifty-six MTCs were included, and 168 benign thyroid nodules (BTNs) and 168 papillary thyroid nodules (PTCs) were matched according to age. Ultrasound (US) features were reviewed according to ACR TI-RADS.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!