Background and aim While the infiltration of surgical incisions with local anesthetics is not a new practice, it remains a crucial component of contemporary multimodal analgesia protocols. This study aimed to evaluate the efficacy and safety of using adjuvants in combination with local anesthetic wound infiltration for pain management in patients undergoing mastectomy surgery. Methods Eighty-one patients aged 18-60 years, classified as American Society of Anesthesiologists (ASA) grade I or II, were scheduled for unilateral mastectomy and randomly assigned to three groups of 27 each.
View Article and Find Full Text PDFBackground and aim A novel supraglottic airway device of the second generation is the Ambu® Aura-i™. It is designed to accommodate standard cuffed tracheal tubes and is phthalate-free and compatible with MRI. The primary objectives of the research were to examine the properties and efficiency of Ambu® Aura-i™ as a means of enabling fiberoptic-guided intubation, the view of the glottis during fiber optic examination, the duration of intubation in fiber optic bronchoscopy, the ease of intubation, the success rate of intubation, and the duration for device removal from the tracheal tube.
View Article and Find Full Text PDFBackground The clinical utility of adjuvants with local anesthesia produces an excellent nerve block with prolonged duration and faster onset. Brachial plexus block is widely used nowadays in patients undergoing upper limb surgery There are several approaches to achieve brachial plexus block such as interscalene, supraclavicular, infraclavicular, and axillary. The objective of this study is to compare the effectiveness of dexamethasone to dexmedetomidine as adjuvants to bupivacaine in patients undergoing ultrasound-guided infraclavicular brachial plexus (USG-ICBP) block.
View Article and Find Full Text PDFThe atmospheric stable isotopes in rainwater are measured as the ratio of heavy to the lighter (e.g., O/O).
View Article and Find Full Text PDFMagn Reson Imaging
September 2009
Automated brain magnetic resonance image (MRI) segmentation is a complex problem especially if accompanied by quality depreciating factors such as intensity inhomogeneity and noise. This article presents a new algorithm for automated segmentation of both normal and diseased brain MRI. An entropy driven homomorphic filtering technique has been employed in this work to remove the bias field.
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