Suppr超能文献

生物电阻抗阈值测定在乳腺癌相关淋巴水肿早期检测中的应用。

Determination of Bioelectrical Impedance Thresholds for Early Detection of Breast Cancer-related Lymphedema.

机构信息

Breast Center, Peking University People's Hospital, Beijing, China.

出版信息

Int J Med Sci. 2021 Jun 11;18(13):2990-2996. doi: 10.7150/ijms.53812. eCollection 2021.

Abstract

Bioelectrical impedance technology is a common technique used for the early detection of breast cancer-related lymphedema (BCRL). However, studies on the threshold value established by Inbody 720 device (Biospace, Korea) have been extremely limited. We aimed to determine its reference range and cutoff values. All patients were recruited from October 2017 to October 2019 at the Peking University People's Hospital Breast Center. In total, 82 patients with unilateral BCRL and 1305 healthy subjects were recruited in this study. We measured the extracellular fluid (ECF) ratio, extracellular water (ECW) ratio, as well as the single-frequency bioimpedance analysis (SFBIA) ratios at 1 and 5 kHz with the Inbody 720 device. The Youden index-based cutoff points, mean + 2SD and mean + 3SD values of these four indicators for both dominant and nondominant arms were also calculated. Data were collected from 1387 women, including healthy subjects and patients with lymphedema. All statistical analyses were performed with SPSS. Significant differences were found between the two groups in the ECW, ECF, and SFBIA ratios. For the dominant affected arms, the Youden index-based cutoff points for the ECF, ECW, as well as SFBIA ratios at 1 and 5 kHz were 1.009, 1.008, 1.068, and 1.068, respectively. For the nondominant affected arms, the Youden index-based cutoff points were 1.014, 1.013, 1.047, and 1.048, respectively. The mean + 2 standard deviations (SD) and mean + 3SD values were also calculated. We determined the Youden index-based cutoff points, mean + 2SD and mean + 3SD values of the ECF, ECW, as well as SFBIA ratios at 1 and 5 kHz for both dominant and nondominant arms with data from 1305 healthy subjects. Next, the Youden index-based cutoff points, the mean + 2SD and mean + 3SD values were used to recognize patients with lymphedema. We found that the Youden index-based cutoff points and the mean + 2SD showed similar identification capacity on lymphedema, and they seemed to distinguish more patients with lymphedema than mean + 3SD values.

摘要

生物电阻抗技术是一种用于早期检测乳腺癌相关淋巴水肿(BCRL)的常用技术。然而,关于 Inbody 720 设备(Biospace,韩国)建立的阈值的研究极为有限。我们旨在确定其参考范围和截断值。所有患者均于 2017 年 10 月至 2019 年 10 月在北京大学人民医院乳腺中心招募。本研究共纳入 82 例单侧 BCRL 患者和 1305 例健康受试者。我们使用 Inbody 720 设备测量细胞外液(ECF)比、细胞外水(ECW)比以及 1 和 5 kHz 时的单频生物阻抗分析(SFBIA)比。还计算了这四个指标在优势和非优势手臂上的基于 Youden 指数的截断点、均值+2SD 和均值+3SD 值。数据来自 1387 名女性,包括健康受试者和淋巴水肿患者。所有统计分析均使用 SPSS 进行。两组间 ECW、ECF 和 SFBIA 比均存在显著差异。对于优势受累手臂,基于 Youden 指数的 ECF、ECW 以及 1 和 5 kHz 时 SFBIA 比的截断点分别为 1.009、1.008、1.068 和 1.068。对于非优势受累手臂,基于 Youden 指数的截断点分别为 1.014、1.013、1.047 和 1.048。还计算了均值+2 标准差(SD)和均值+3SD 值。我们根据 1305 名健康受试者的数据确定了优势和非优势手臂的 ECF、ECW 以及 1 和 5 kHz 时 SFBIA 比的基于 Youden 指数的截断点、均值+2SD 和均值+3SD 值。然后,使用基于 Youden 指数的截断点、均值+2SD 和均值+3SD 值来识别淋巴水肿患者。我们发现,基于 Youden 指数的截断点和均值+2SD 在识别淋巴水肿方面具有相似的能力,而且它们似乎比均值+3SD 值能区分出更多的淋巴水肿患者。

相似文献

1
Determination of Bioelectrical Impedance Thresholds for Early Detection of Breast Cancer-related Lymphedema.
Int J Med Sci. 2021 Jun 11;18(13):2990-2996. doi: 10.7150/ijms.53812. eCollection 2021.
2
Reference values of bioelectrical impedance analysis for detecting breast cancer-related lymphedema.
Medicine (Baltimore). 2018 Nov;97(44):e12945. doi: 10.1097/MD.0000000000012945.
4
Segmental Bioimpedance Informs Diagnosis of Breast Cancer-Related Lymphedema.
Lymphat Res Biol. 2017 Dec;15(4):349-355. doi: 10.1089/lrb.2017.0030. Epub 2017 Sep 28.
5
Normative Interlimb Impedance Ratios: Implications for Early Diagnosis of Uni- and Bilateral, Upper and Lower Limb Lymphedema.
Lymphat Res Biol. 2018 Dec;16(6):559-566. doi: 10.1089/lrb.2017.0082. Epub 2018 Oct 2.
7
Segmental Impedance Thresholds for Early Detection of Unilateral Upper Limb Swelling.
Lymphat Res Biol. 2015 Dec;13(4):253-9. doi: 10.1089/lrb.2013.0050. Epub 2014 May 16.
10
Screening for Breast Cancer-Related Lymphedema Development Using Extracellular Water Ratio.
Lymphat Res Biol. 2023 Oct;21(5):447-455. doi: 10.1089/lrb.2022.0060. Epub 2023 Mar 23.

引用本文的文献

4
6
Prevalence and determinants of lymphedema in newly diagnosed Nigerian breast cancer patients using bioimpedance estimations.
Ecancermedicalscience. 2023 Feb 9;17:1506. doi: 10.3332/ecancer.2023.1506. eCollection 2023.
7
Bioelectrical impedance analysis for early screening of upper limb subclinical lymphedema: A case-control study.
PLoS One. 2022 Sep 19;17(9):e0274570. doi: 10.1371/journal.pone.0274570. eCollection 2022.

本文引用的文献

1
Three Decades of Bioelectrical Impedance Spectroscopy in Lymphedema Assessment: An Historical Perspective.
Lymphat Res Biol. 2021 Jun;19(3):206-214. doi: 10.1089/lrb.2020.0085. Epub 2020 Nov 25.
3
Anatomical Theories of the Pathophysiology of Cancer-Related Lymphoedema.
Cancers (Basel). 2020 May 23;12(5):1338. doi: 10.3390/cancers12051338.
4
The Unresolved Pathophysiology of Lymphedema.
Front Physiol. 2020 Mar 17;11:137. doi: 10.3389/fphys.2020.00137. eCollection 2020.
5
Preoperative Assessment of Upper Extremity Secondary Lymphedema.
Cancers (Basel). 2020 Jan 6;12(1):135. doi: 10.3390/cancers12010135.
7
Correlation of L-Dex Bioimpedance Spectroscopy with Limb Volume and Lymphatic Function in Lymphedema.
Lymphat Res Biol. 2019 Jun;17(3):301-307. doi: 10.1089/lrb.2018.0028. Epub 2018 Nov 2.
8
Reference values of bioelectrical impedance analysis for detecting breast cancer-related lymphedema.
Medicine (Baltimore). 2018 Nov;97(44):e12945. doi: 10.1097/MD.0000000000012945.
9
Breast Cancer-Related Lymphedema and Genetic Predisposition: A Systematic Review of the Literature.
Lymphat Res Biol. 2019 Jun;17(3):288-293. doi: 10.1089/lrb.2017.0083. Epub 2018 Oct 24.
10
Diagnosis of Early and Subclinical Lymphedema Following Breast Cancer.
Lymphat Res Biol. 2018 Oct;16(5):425. doi: 10.1089/lrb.2018.29053.sr.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验