• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

两种不同软件包分析 CT 图像人体成分的比较。

A comparison of two different software packages for analysis of body composition using computed tomography images.

机构信息

Gastrointestinal Surgery, Nottingham Digestive Diseases Centre, National Institute for Health (NIHR) Research Nottingham Biomedical Research Centre, Nottingham University Hospitals and University of Nottingham, Queen's Medical Centre, Nottingham United Kingdom.

Sir Peter Mansfield Imaging Centre (SPMIC), University of Nottingham, University Park, Nottingham, United Kingdom.

出版信息

Nutrition. 2019 Jan;57:92-96. doi: 10.1016/j.nut.2018.06.003. Epub 2018 Jul 11.

DOI:10.1016/j.nut.2018.06.003
PMID:30153585
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6269124/
Abstract

OBJECTIVES

The analysis of body composition from computed tomography (CT) imaging has become widespread. However, the methodology used is far from established. Two main software packages are commonly used for body composition analysis, with results used interchangeably. However, the equivalence of these has not been well established. The aim of this study was to compare the results of body composition analysis performed using the two software packages to assess their equivalence.

METHODS

Triphasic abdominal CT scans from 50 patients were analyzed for a range of body composition measures at the third lumbar vertebral level using OsiriX (v7.5.1, Pixmeo, Switzerland) and SliceOmatic (v5.0, TomoVision, Montreal, Canada) software packages. Measures analyzed were skeletal muscle index (SMI), fat mass (FM), fat-free mass (FFM), and mean skeletal muscle Hounsfield Units (SMHU).

RESULTS

The overall mean SMI calculated using the two software packages was significantly different (SliceOmatic 51.33 versus OsiriX 53.77, P < 0.0001), and this difference remained significant for non-contrast and arterial scans. When FM and FFM were considered, again the results were significantly different (SliceOmatic 33.7 versus OsiriX 33.1 kg, P < 0.0001; SliceOmatic 52.1 versus OsiriX 54.2 kg, P < 0.0001, respectively), and this difference remained for all phases of CT. Finally, when analyzed, mean SMHU was also significantly different (SliceOmatic 32.7 versus OsiriX 33.1 HU, P = 0.046).

CONCLUSIONS

All four body composition measures were statistically significantly different by the software package used for analysis; however, the clinical significance of these differences is doubtful. Nevertheless, the same software package should be used if serial measurements are being performed.

摘要

目的

从计算机断层扫描(CT)图像分析人体成分已经变得非常普遍。然而,所使用的方法远未得到确立。两种主要的软件包通常用于人体成分分析,其结果可以互换使用。但是,这些结果的等效性尚未得到很好的证实。本研究的目的是比较使用两种软件包进行人体成分分析的结果,以评估它们的等效性。

方法

对 50 例患者的三期腹部 CT 扫描进行分析,在第三腰椎水平使用 OsiriX(v7.5.1,Pixmeo,瑞士)和 SliceOmatic(v5.0,TomoVision,蒙特利尔,加拿大)软件包分析一系列人体成分指标,包括骨骼肌指数(SMI)、脂肪量(FM)、去脂体重(FFM)和平均骨骼肌亨氏单位(SMHU)。

结果

使用两种软件包计算的总体平均 SMI 存在显著差异(SliceOmatic 为 51.33,OsiriX 为 53.77,P < 0.0001),这种差异在非对比和动脉扫描中仍然显著。当考虑 FM 和 FFM 时,结果也存在显著差异(SliceOmatic 为 33.7 千克,OsiriX 为 33.1 千克,P < 0.0001;SliceOmatic 为 52.1 千克,OsiriX 为 54.2 千克,P < 0.0001),这种差异在 CT 的所有阶段都存在。最后,当进行分析时,平均 SMHU 也存在显著差异(SliceOmatic 为 32.7 HU,OsiriX 为 33.1 HU,P = 0.046)。

结论

使用分析的软件包,所有四个人体成分测量值都存在统计学显著差异;然而,这些差异的临床意义值得怀疑。然而,如果要进行连续测量,则应使用相同的软件包。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/47131d4591ec/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/3cbe9ff22e81/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/3ed292c0546a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/e7e14f96fbd5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/47131d4591ec/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/3cbe9ff22e81/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/3ed292c0546a/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/e7e14f96fbd5/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e6c5/6269124/47131d4591ec/gr4.jpg

相似文献

1
A comparison of two different software packages for analysis of body composition using computed tomography images.两种不同软件包分析 CT 图像人体成分的比较。
Nutrition. 2019 Jan;57:92-96. doi: 10.1016/j.nut.2018.06.003. Epub 2018 Jul 11.
2
Body composition measurement using computed tomography: Does the phase of the scan matter?使用计算机断层扫描进行身体成分测量:扫描阶段重要吗?
Nutrition. 2017 Sep;41:37-44. doi: 10.1016/j.nut.2017.02.011. Epub 2017 Apr 6.
3
Objective comparison of commonly used computed tomography body composition analysis software.常用 CT 体成分分析软件的客观比较。
Nutrition. 2024 Jul;123:112421. doi: 10.1016/j.nut.2024.112421. Epub 2024 Mar 8.
4
A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients.直肠癌患者腹部计算机断层扫描中用于横截面骨骼肌和脂肪组织测量的软件程序的比较研究
J Cachexia Sarcopenia Muscle. 2017 Apr;8(2):285-297. doi: 10.1002/jcsm.12158. Epub 2016 Nov 22.
5
Computed tomography-based psoas skeletal muscle area and radiodensity are poor sentinels for whole L3 skeletal muscle values.基于计算机断层扫描的腰大肌骨骼肌肉面积和放射性密度对整个 L3 骨骼肌肉值来说是较差的哨兵指标。
Clin Nutr. 2020 Jul;39(7):2227-2232. doi: 10.1016/j.clnu.2019.10.003. Epub 2019 Oct 14.
6
Tutorial for using SliceOmatic to calculate thigh area and composition from computed tomography images from older adults.使用 SliceOmatic 计算老年人 CT 图像大腿区域和成分的教程。
PLoS One. 2018 Oct 2;13(10):e0204529. doi: 10.1371/journal.pone.0204529. eCollection 2018.
7
Reliability and validity of the new VikingSlice software for computed tomography body composition analysis.新型 VikingSlice 软件用于计算机断层扫描体成分分析的可靠性和有效性。
Eur J Clin Nutr. 2019 Jan;73(1):54-61. doi: 10.1038/s41430-018-0110-5. Epub 2018 Apr 16.
8
Agreement between software programmes of body composition analyses on abdominal computed tomography scans of obese adults.肥胖成年人腹部计算机断层扫描图像上身体成分分析软件程序之间的一致性
Arch Endocrinol Metab. 2020 Feb;64(1):24-29. doi: 10.20945/2359-3997000000174. Epub 2019 Sep 30.
9
Defining reference values for low skeletal muscle index at the L3 vertebra level based on computed tomography in healthy adults: A multicentre study.基于 CT 测量健康成年人第 3 腰椎水平低骨骼肌指数的参考值范围:一项多中心研究。
Clin Nutr. 2022 Feb;41(2):396-404. doi: 10.1016/j.clnu.2021.12.003. Epub 2021 Dec 6.
10
Impact of Software Selection and ImageJ Tutorial Corrigendum on Skeletal Muscle Measures at the Third Lumbar Vertebra on Computed Tomography Scans in Clinical Populations.软件选择和 ImageJ 教程勘误对临床人群腰椎第 3 节计算机断层扫描骨骼肌测量的影响。
JPEN J Parenter Enteral Nutr. 2018 Jul;42(5):933-941. doi: 10.1002/jpen.1036. Epub 2017 Dec 28.

引用本文的文献

1
Beyond the tumor: towards a cachexia-based host phenotype through body composition analysis in patients with resectable lung cancer.肿瘤之外:通过对可切除肺癌患者进行身体成分分析,迈向基于恶病质的宿主表型。
Transl Lung Cancer Res. 2025 Aug 31;14(8):3183-3195. doi: 10.21037/tlcr-2025-511. Epub 2025 Aug 26.
2
Body composition metrics as a determinant of trastuzumab deruxtecan related toxicity and response.身体成分指标作为曲妥珠单抗德鲁替康相关毒性和反应的决定因素。
NPJ Breast Cancer. 2025 Apr 25;11(1):38. doi: 10.1038/s41523-025-00754-7.
3
A Scoping Review of the Implications and Applications of Body Composition Assessment in Locally Advanced and Locally Recurrent Rectal Cancer.

本文引用的文献

1
Body composition measurement using computed tomography: Does the phase of the scan matter?使用计算机断层扫描进行身体成分测量:扫描阶段重要吗?
Nutrition. 2017 Sep;41:37-44. doi: 10.1016/j.nut.2017.02.011. Epub 2017 Apr 6.
2
A comparative study of software programmes for cross-sectional skeletal muscle and adipose tissue measurements on abdominal computed tomography scans of rectal cancer patients.直肠癌患者腹部计算机断层扫描中用于横截面骨骼肌和脂肪组织测量的软件程序的比较研究
J Cachexia Sarcopenia Muscle. 2017 Apr;8(2):285-297. doi: 10.1002/jcsm.12158. Epub 2016 Nov 22.
3
Influence of IV Contrast Administration on CT Measures of Muscle and Bone Attenuation: Implications for Sarcopenia and Osteoporosis Evaluation.
局部进展期和局部复发性直肠癌身体成分评估的意义与应用范围综述
Cancers (Basel). 2025 Feb 28;17(5):846. doi: 10.3390/cancers17050846.
4
Reply: Population muscle mass and performance indices.回复:总体肌肉质量和性能指标。
Indian J Gastroenterol. 2025 Apr;44(2):265-267. doi: 10.1007/s12664-024-01667-2.
5
A Cross-Sectional Validation of Horos and CoreSlicer Software Programs for Body Composition Analysis in Abdominal Computed Tomography Scans in Colorectal Cancer Patients.用于结直肠癌患者腹部计算机断层扫描中身体成分分析的Horos和CoreSlicer软件程序的横断面验证
Diagnostics (Basel). 2024 Aug 5;14(15):1696. doi: 10.3390/diagnostics14151696.
6
Does computed tomography-derived volumometry and densitometry of psoas muscle really correlate with complications in rectal cancer patients after elective surgery?计算机断层扫描衍生的腰大肌体积测量和密度测量与择期手术后直肠癌患者的并发症真的相关吗?
J Clin Imaging Sci. 2024 Jul 24;14:26. doi: 10.25259/JCIS_43_2024. eCollection 2024.
7
AI-based fully automatic image analysis: Optimal abdominal and thoracic segmentation volumes for estimating total muscle volume on computed tomography scans.基于人工智能的全自动图像分析:用于在计算机断层扫描上估计总肌肉体积的最佳腹部和胸部分割体积。
Osteoporos Sarcopenia. 2024 Jun;10(2):78-83. doi: 10.1016/j.afos.2024.04.001. Epub 2024 Apr 24.
8
Body composition measures as a determinant of Alpelisib related toxicity.作为阿培利司相关毒性决定因素的身体成分测量。
Breast Cancer Res Treat. 2024 Jul;206(2):369-376. doi: 10.1007/s10549-024-07315-9. Epub 2024 Apr 7.
9
Sarcopenia and Mediastinal Adipose Tissue as a Prognostic Marker for Short- and Long-Term Outcomes after Primary Surgical Treatment for Lung Cancer.肌肉减少症和纵隔脂肪组织作为肺癌初次手术治疗后短期和长期预后的预测指标
Cancers (Basel). 2023 Nov 30;15(23):5666. doi: 10.3390/cancers15235666.
10
Fat quantification in the sacroiliac joint syndesmosis: a new semi-automatic volumetric approach.骶髂关节联合部的脂肪定量:一种新的半自动容积测量方法。
Sci Rep. 2023 Oct 7;13(1):16930. doi: 10.1038/s41598-023-44066-x.
静脉对比剂给药对 CT 肌肉和骨衰减测量的影响:对肌少症和骨质疏松症评估的意义。
AJR Am J Roentgenol. 2016 Nov;207(5):1046-1054. doi: 10.2214/AJR.16.16387. Epub 2016 Aug 24.
4
Skeletal Muscle Depletion Predicts the Prognosis of Patients with Advanced Pancreatic Cancer Undergoing Palliative Chemotherapy, Independent of Body Mass Index.骨骼肌消耗可预测晚期胰腺癌患者接受姑息化疗的预后,与体重指数无关。
PLoS One. 2015 Oct 5;10(10):e0139749. doi: 10.1371/journal.pone.0139749. eCollection 2015.
5
The impact of sarcopenia and myosteatosis on outcomes of unresectable pancreatic cancer or distal cholangiocarcinoma.肌肉减少症和肌脂肪变性对不可切除胰腺癌或远端胆管癌预后的影响。
Clin Nutr. 2016 Oct;35(5):1103-9. doi: 10.1016/j.clnu.2015.08.005. Epub 2015 Sep 1.
6
Systematic review of sarcopenia in patients operated on for gastrointestinal and hepatopancreatobiliary malignancies.胃肠道和肝胆恶性肿瘤患者的肌肉减少症的系统评价。
Br J Surg. 2015 Nov;102(12):1448-58. doi: 10.1002/bjs.9893. Epub 2015 Sep 16.
7
The impact of sarcopenia on survival and complications in surgical oncology: A review of the current literature.肌肉减少症对外科肿瘤学中生存及并发症的影响:当前文献综述
J Surg Oncol. 2015 Oct;112(5):503-9. doi: 10.1002/jso.24025. Epub 2015 Aug 27.
8
Negative Impact of Skeletal Muscle Loss after Systemic Chemotherapy in Patients with Unresectable Colorectal Cancer.全身化疗后不可切除结直肠癌患者骨骼肌丢失的负面影响
PLoS One. 2015 Jun 12;10(6):e0129742. doi: 10.1371/journal.pone.0129742. eCollection 2015.
9
Sarcopenia in an overweight or obese patient is an adverse prognostic factor in pancreatic cancer.超重或肥胖患者的肌肉减少症是胰腺癌的一个不利预后因素。
Clin Cancer Res. 2009 Nov 15;15(22):6973-9. doi: 10.1158/1078-0432.CCR-09-1525. Epub 2009 Nov 3.
10
A practical and precise approach to quantification of body composition in cancer patients using computed tomography images acquired during routine care.一种利用常规护理期间获取的计算机断层扫描图像对癌症患者身体成分进行量化的实用且精确的方法。
Appl Physiol Nutr Metab. 2008 Oct;33(5):997-1006. doi: 10.1139/H08-075.