Robotics & Machine Learning Daily News2024,Issue(Jul.3) :107-108.

First Affiliated Hospital of Guangxi Medical University Reports Findings in Panc reatic Cancer (Noninvasive prediction of lymph node metastasis in pancreatic can cer using an ultrasound-based clinicoradiomics machine learning model)

广西医科大学第一附属医院报告胰腺癌的发现(基于超声的临床放射学机器学习模型对胰腺癌淋巴结转移的无创性预测)

Robotics & Machine Learning Daily News2024,Issue(Jul.3) :107-108.

First Affiliated Hospital of Guangxi Medical University Reports Findings in Panc reatic Cancer (Noninvasive prediction of lymph node metastasis in pancreatic can cer using an ultrasound-based clinicoradiomics machine learning model)

广西医科大学第一附属医院报告胰腺癌的发现(基于超声的临床放射学机器学习模型对胰腺癌淋巴结转移的无创性预测)

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摘要

一位新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-肿瘤学的新研究-胰腺癌是一篇报道的主题。根据NewsRx记者在中华人民共和国南宁的新闻报道,研究表明,“本研究旨在探索和验证基于超声图像组学特征的不同机器学习模型在胰腺癌(PC)淋巴结转移术前诊断中的价值。本研究涉及189名经手术病理证实的PC患者(培训队列:n=151;测试队列:n=38),包括50例淋巴结转移病例。”本研究经费来源于广西壮族自治区卫生委员会自筹科研项目。

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Oncology - Pancreatic Cancer is the subject of a report. According to news reporting from Nanning, Peo ple’s Republic of China, by NewsRx journalists, research stated, “This study was designed to explore and validate the value of different machine learning models based on ultrasound image-omics features in the preoperative diagnosis of lymph node metastasis in pancreatic cancer (PC). This research involved 189 individua ls diagnosed with PC confirmed by surgical pathology (training cohort: n = 151; test cohort: n = 38), including 50 cases of lymph node metastasis.” Financial support for this research came from Self-funded scientific research pr oject of Guangxi Zhuang Autonomous Region Health Committee.

Key words

Nanning/People's Republic of China/Asi a/Cancer/Cyborgs/Emerging Technologies/Gastroenterology/Health and Medicine/Hemic and Immune Systems/Immunology/Lymph Nodes/Lymphoid Tissue/Machine Le arning/Oncology/Pancreas/Pancreatic Cancer/Pancreatic Neoplasms

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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