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Introduction Breast cancer is one of the most common female malignancies in the United States and often necessitates surgical interventions that carry a substantial risk of postoperative pain. Pectoral nerve blocks have emerged as a simpler alternative for providing regional perioperative analgesia to the chest wall in breast cancer surgery. This retrospective study evaluated the impact of implementing a novel regional anesthesia protocol centering on the use of pectoral nerve blocks for patients undergoing radical mastectomy at a small regional hospital in Spartanburg, South Carolina.

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Actin network architecture can ensure robust centering or sensitive decentering of the centrosome.

EMBO J

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The orientation of cell polarity depends on the position of the centrosome, the main microtubule-organizing center (MTOC). Microtubules (MTs) transmit pushing forces to the MTOC as they grow against the cell periphery. How the actin network regulates these forces remains unclear.

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A comparison between manual and artificial intelligence-based automatic positioning in CT imaging for COVID-19 patients.

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August 2021

Department of Radiology, Zhongnan Hospital of Wuhan University, Wuhan University, NO.169 Donghu Road, Wuchang District, Wuhan, 430071, Hubei Province, People's Republic of China.

Objective: To analyze and compare the imaging workflow, radiation dose, and image quality for COVID-19 patients examined using either the conventional manual positioning (MP) method or an AI-based automatic positioning (AP) method.

Materials And Methods: One hundred twenty-seven adult COVID-19 patients underwent chest CT scans on a CT scanner using the same scan protocol except with the manual positioning (MP group) for the initial scan and an AI-based automatic positioning method (AP group) for the follow-up scan. Radiation dose, patient positioning time, and off-center distance of the two groups were recorded and compared.

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Background: Unoptimized protocols, including a miscentered position, might affect the outcome of diagnostic in CT examinations. In this study, we investigate the effects of miscentering position during CT head examination on the signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR).

Method: We simulate the CT head examination using a water phantom with a standard protocol (120 kVp/180 mAs) and a low dose protocol (100 kVp/142 mAs).

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