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本文引用的文献

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Type 2 Diabetic Mellitus Is a Risk Factor for Nasopharyngeal Carcinoma: A 1:2 Matched Case-Control Study.2型糖尿病是鼻咽癌的一个危险因素:一项1:2配对病例对照研究。
PLoS One. 2016 Oct 19;11(10):e0165131. doi: 10.1371/journal.pone.0165131. eCollection 2016.
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Update on type 2 diabetes-related osteoporosis.2 型糖尿病相关骨质疏松症的最新进展。
World J Diabetes. 2015 Jun 10;6(5):673-8. doi: 10.4239/wjd.v6.i5.673.
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Role of Gist and PHOG features in computer-aided diagnosis of tuberculosis without segmentation.轮廓和方向梯度直方图特征在无需分割的肺结核计算机辅助诊断中的作用
PLoS One. 2014 Nov 12;9(11):e112980. doi: 10.1371/journal.pone.0112980. eCollection 2014.
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Common positioning errors in panoramic radiography: A review.全景X线摄影中的常见定位错误:综述
Imaging Sci Dent. 2014 Mar;44(1):1-6. doi: 10.5624/isd.2014.44.1.1. Epub 2014 Mar 19.
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SLIC superpixels compared to state-of-the-art superpixel methods.SLIC 超像素与最先进的超像素方法比较。
IEEE Trans Pattern Anal Mach Intell. 2012 Nov;34(11):2274-82. doi: 10.1109/TPAMI.2012.120.
6
Common errors in digital panoramic radiographs of patients with mixed dentition and patients with permanent dentition.混合牙列患者和恒牙列患者数字化全景X线片的常见错误。
Int J Dent. 2012;2012:584138. doi: 10.1155/2012/584138. Epub 2012 Feb 8.
7
Frequency of errors and pathology in panoramic images of young orthodontic patients.年轻正畸患者全景影像中的错误和病变频率。
Eur J Orthod. 2012 Aug;34(4):452-7. doi: 10.1093/ejo/cjr035. Epub 2011 Apr 21.
8
Association of periodontitis and metabolic syndrome in the Baltimore Longitudinal Study of Aging.牙周炎与代谢综合征的关联:巴尔的摩老龄化纵向研究。
Aging Clin Exp Res. 2010 Jun;22(3):238-42. doi: 10.1007/BF03324802.
9
LSD: a fast line segment detector with a false detection control.LSD:一种具有误检控制的快速线段检测器。
IEEE Trans Pattern Anal Mach Intell. 2010 Apr;32(4):722-32. doi: 10.1109/TPAMI.2008.300.
10
Building the gist of a scene: the role of global image features in recognition.构建场景要点:全局图像特征在识别中的作用。
Prog Brain Res. 2006;155:23-36. doi: 10.1016/S0079-6123(06)55002-2.

全景X线片的二次分析揭示了与糖尿病相关的颌面部区域热点。

A Secondary Analysis of Panoramic Radiographs Reveals Hotspots in the Maxillofacial Region Associated with Diabetes.

作者信息

Pack Gary D, Craven Mark, Acharya Amit

机构信息

University of Wisconsin-Madison, Madison, WI.

Center for Oral and Systemic Health, Marshfield Clinic, Marshfield, WI.

出版信息

AMIA Jt Summits Transl Sci Proc. 2020 May 30;2020:477-486. eCollection 2020.

PMID:32477669
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7233101/
Abstract

Diabetes mellitus is the putative cause of a number of pathologies occurring in the bony and soft tissues of the maxillo-facial region and is known to exacerbate other oral diseases such as periodontitis.We present the first use of clinical panoramic radiographs for a secondary analysis of disease, with a focus on identifying hotspots in the maxillofacial region that are associated with diabetes. We developed a curated data set using Consensus Landmark Points (CLPs) and used that data to develop an analysis pipeline. This pipeline entailed automatic data cleansing, registration, and intensity normalization. The pipeline was used to process 7280 uncurated images that were subsequently analyzed using pixel-wise methods for a case/control study of patients with a history of diabetes. We detected statistically significant clusters of pixels that demarcated anatomical hotspots specific to the diabetic patients.

摘要

糖尿病被认为是上颌面部区域骨骼和软组织中多种病变的病因,并且已知会加剧其他口腔疾病,如牙周炎。我们首次使用临床全景X光片对疾病进行二次分析,重点是识别上颌面部区域与糖尿病相关的热点。我们使用共识地标点(CLP)开发了一个经过整理的数据集,并使用该数据开发了一个分析流程。这个流程包括自动数据清理、配准和强度归一化。该流程用于处理7280张未经整理的图像,随后使用逐像素方法对有糖尿病病史的患者进行病例/对照研究分析。我们检测到具有统计学意义的像素簇,这些像素簇划定了糖尿病患者特有的解剖热点。