Introduction: The long thoracic nerve (LTN) has a risk of being damaged during chest surgery and should be considered when performing anesthesia such as a serratus anterior plane block (SAPB). We analyzed the relationship between landmarks-the fourth to ninth intercostal space (ICS) at the midaxillary line (MAL), through which the distal part of the LTN passes-and the LTN.
Materials And Methods: We used 25 specimens from 17 embalmed Korean cadavers. The MAL, level of rib and ICS, and regions 5 cm anteroposterior to the MAL (aMAL/pMAL) were established to measure the position of the LTN crossing the MAL, pathway of the LTN, and entering points of the LTN to the SA.
Results: The LTN crossed the MAL in 76% of the specimens. The LTN crossed the MAL within the fifth to sixth rib level in 70.8%. Seventy-six percent of the branches entered the SA within the fourth to sixth ICS. The fifth rib and ICS were the most frequent regions aMAL; however, several branches were found pMAL. The LTN entered the SA in 92.6% of the specimens within 3 cm anterior and 1 cm posterior to the MAL.
Conclusions: We set the danger zone as 4 cm near the MAL at the fourth to sixth ICS for thoracotomy. In addition, we proposed the fifth ICS in aMAL at the superficial plane as the alternative injection point for SAPB when blocking the LTN, and the fifth ICS in pMAL at the deep plane to prevent blocking the LTN.
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http://dx.doi.org/10.1002/ca.23647 | DOI Listing |
JACS Au
December 2024
Department of Chemical and Biomolecular Engineering, University of Delaware, Newark, Delaware DE 19716, United States.
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Department of Neurology, Jinan Central Hospital, Shandong University, Jinan City, People's Republic of China.
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Oregon Health and Science University, Division of Plastic and Reconstructive Surgery, Portland, OR, USA; Oregon Health and Science University, Transgender Health Program, Portland, OR, USA. Electronic address:
The long thoracic nerve's (LTN) superficial location on the chest wall renders it vulnerable to iatrogenic injury. Plastic surgeons' gender-affirming mastectomy volumes are rapidly increasing. This operation involves lateral chest contouring placing the distal LTN at risk of injury along the chest wall.
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Institute of Geography, Fujian Normal University, Fuzhou, Fujian Province, China; Fujian Provincial Key Laboratory of Plant Ecophysiology, Fujian Normal University, Fuzhou, Fujian Province, China. Electronic address:
The leaf economic spectrum (LES) captures key leaf functional trait relationships, defining a conservative-acquisitive axis of plant resource utilization strategies. Examining the leaf trait network (LTN) is useful for understanding resource utilization strategies but also more broadly, the ecological strategies of plants. However, the relationship between the LES conservation-acquisition axis and LTN correlations across environmental gradients is unclear.
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College of Big Data and Internet, Shenzhen Technology University, Shenzhen, China; Guangdong Key Laboratory for Intelligent Computation of Public Service Supply, China. Electronic address:
Social media platforms, rich in user-generated content, offer a unique perspective on public opinion, making stance detection an essential task in opinion mining. However, traditional deep neural networks for stance detection often suffer from limitations, including the requirement for large amounts of labeled data, uninterpretability of prediction results, and difficulty in incorporating human intentions and domain knowledge. This paper introduces the First-Order Logic Aggregated Reasoning framework (FOLAR), an innovative approach that integrates first-order logic (FOL) with large language models (LLMs) to enhance the interpretability and efficacy of stance detection.
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