Publications by authors named "N Kakani"

Background: The authors present a case of selective hypothermia used for neuroprotection during clipping of a giant partially thrombosed middle cerebral artery (MCA) aneurysm. Although these cases have traditionally required deep hypothermic cardiac arrest, this case illustrates a novel and entirely endovascular solution that avoids cardiac standstill and whole-body cooling.

Observations: This is, to the authors' knowledge, the first case in human surgery of a catheter-based selective hypothermic circuit used to facilitate MCA trapping for almost 30 minutes.

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Background: Postoperative hemorrhage is a potentially lethal complication of pancreatoduodenectomy. This study reports on the use of endovascular hepatic artery stents in the management of postpancreatectomy hemorrhage.

Methods: This is a retrospective analysis of a prospectively maintained, consecutive dataset of 440 patients undergoing pancreatoduodenectomy over 68 months.

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Introduction: Critically ill surgical neonates are physiologically challenged and delicately poised on ventilator and inotropic support systems. They experience significant stress in the event of surgery. Shifting them poise further addition to this stress.

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Purpose: Preoperative treatment planning is key to ensure successful thermal ablation of liver tumors. The planning aims to minimize the number of electrodes required for complete ablation and the damage to the surrounding tissues while satisfying multiple clinical constraints. This is a challenging multiple objective planning problem, in which the trade-off between different objectives must be considered.

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Article Synopsis
  • The study focuses on improving the accuracy of needle or therapy applicator placement during cancer treatment by using a deep learning method to segment tools in 2D ultrasound images in real-time.
  • A U-Net architecture was modified and trained on a database of 917 images from various procedures, utilizing techniques like dropout and augmentation to enhance the model's performance and generalizability.
  • Results showed promising accuracy metrics, with the lowest errors in gynecologic images and higher errors in kidney images, indicating the method's effectiveness for different anatomical sites.
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