Stressing the Relevance of Differentiating between Systematic and Random Measurement Errors in Ultrasound Muscle Thickness Diagnostics

Research output: Journal contributionsJournal articlesResearchpeer-review

Standard

Stressing the Relevance of Differentiating between Systematic and Random Measurement Errors in Ultrasound Muscle Thickness Diagnostics. / Lohmann, Lars Hubertus; Hillebrecht, Martin; Schiemann, Stephan et al.
In: Sports Medicine - Open, Vol. 10, No. 1, 89, 12.2024.

Research output: Journal contributionsJournal articlesResearchpeer-review

Harvard

APA

Vancouver

Bibtex

@article{fb64762d470048e4adfd99c67d0d5a06,
title = "Stressing the Relevance of Differentiating between Systematic and Random Measurement Errors in Ultrasound Muscle Thickness Diagnostics",
abstract = "Background: The majority of studies that explore changes in musculature following resistance training interventions or examine atrophy due to immobilization or sarcopenia use ultrasound imaging. While most studies assume acceptable to excellent reliability, there seems to be unawareness of the existing absolute measurement errors. As early as 1998, methodological research addressed a collective unawareness of the random measurement error and its practical indications. Referring to available methodological approaches, within this work, we point out the limited value of focusing on relative, correlation-based reliability indices for the interpretability in scientific research but also for clinical application by assessing 1,512 muscle thickness values from more than 400 ultrasound images. To account for intra- and inter-day repeatability, data were collected on two consecutive days within four testing sessions. Commonly-stated reliability values (ICC, CV, SEM and MDC) were calculated, while evidence-based agreement analyses were applied to provide the accompanied systematic and random measurement error. Results: While ICCs in the range of 0.832 to 0.998 are in accordance with the available literature, the mean absolute percentage error ranges from 1.34 to 20.38% and the mean systematic bias from 0.78 to 4.01 mm (all p ≤ 0.013), depending on the measurement time points chosen for data processing. Conclusions: In accordance with prior literature, a more cautious interpretation of relative reliability values should be based on included systematic and random absolute measurement scattering. Lastly, this paper discusses the rationale for including different measurement error statistics when determining the validity of pre-post changes, thus, accounting for the certainty of evidence.",
keywords = "Expected effect, Mean absolute percentage error, Reliability, Training intervention studies, Ultrasound, Physical education and sports",
author = "Lohmann, {Lars Hubertus} and Martin Hillebrecht and Stephan Schiemann and Konstantin Warneke",
note = "Publisher Copyright: {\textcopyright} The Author(s) 2024.",
year = "2024",
month = aug,
day = "15",
doi = "10.1186/s40798-024-00755-z",
language = "English",
volume = "10",
journal = "Sports Medicine - Open",
issn = "2199-1170",
publisher = "Springer Open",
number = "1",

}

RIS

TY - JOUR

T1 - Stressing the Relevance of Differentiating between Systematic and Random Measurement Errors in Ultrasound Muscle Thickness Diagnostics

AU - Lohmann, Lars Hubertus

AU - Hillebrecht, Martin

AU - Schiemann, Stephan

AU - Warneke, Konstantin

N1 - Publisher Copyright: © The Author(s) 2024.

PY - 2024/8/15

Y1 - 2024/8/15

N2 - Background: The majority of studies that explore changes in musculature following resistance training interventions or examine atrophy due to immobilization or sarcopenia use ultrasound imaging. While most studies assume acceptable to excellent reliability, there seems to be unawareness of the existing absolute measurement errors. As early as 1998, methodological research addressed a collective unawareness of the random measurement error and its practical indications. Referring to available methodological approaches, within this work, we point out the limited value of focusing on relative, correlation-based reliability indices for the interpretability in scientific research but also for clinical application by assessing 1,512 muscle thickness values from more than 400 ultrasound images. To account for intra- and inter-day repeatability, data were collected on two consecutive days within four testing sessions. Commonly-stated reliability values (ICC, CV, SEM and MDC) were calculated, while evidence-based agreement analyses were applied to provide the accompanied systematic and random measurement error. Results: While ICCs in the range of 0.832 to 0.998 are in accordance with the available literature, the mean absolute percentage error ranges from 1.34 to 20.38% and the mean systematic bias from 0.78 to 4.01 mm (all p ≤ 0.013), depending on the measurement time points chosen for data processing. Conclusions: In accordance with prior literature, a more cautious interpretation of relative reliability values should be based on included systematic and random absolute measurement scattering. Lastly, this paper discusses the rationale for including different measurement error statistics when determining the validity of pre-post changes, thus, accounting for the certainty of evidence.

AB - Background: The majority of studies that explore changes in musculature following resistance training interventions or examine atrophy due to immobilization or sarcopenia use ultrasound imaging. While most studies assume acceptable to excellent reliability, there seems to be unawareness of the existing absolute measurement errors. As early as 1998, methodological research addressed a collective unawareness of the random measurement error and its practical indications. Referring to available methodological approaches, within this work, we point out the limited value of focusing on relative, correlation-based reliability indices for the interpretability in scientific research but also for clinical application by assessing 1,512 muscle thickness values from more than 400 ultrasound images. To account for intra- and inter-day repeatability, data were collected on two consecutive days within four testing sessions. Commonly-stated reliability values (ICC, CV, SEM and MDC) were calculated, while evidence-based agreement analyses were applied to provide the accompanied systematic and random measurement error. Results: While ICCs in the range of 0.832 to 0.998 are in accordance with the available literature, the mean absolute percentage error ranges from 1.34 to 20.38% and the mean systematic bias from 0.78 to 4.01 mm (all p ≤ 0.013), depending on the measurement time points chosen for data processing. Conclusions: In accordance with prior literature, a more cautious interpretation of relative reliability values should be based on included systematic and random absolute measurement scattering. Lastly, this paper discusses the rationale for including different measurement error statistics when determining the validity of pre-post changes, thus, accounting for the certainty of evidence.

KW - Expected effect

KW - Mean absolute percentage error

KW - Reliability

KW - Training intervention studies

KW - Ultrasound

KW - Physical education and sports

UR - http://www.scopus.com/inward/record.url?scp=85201409538&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/cf13e1f2-b434-3026-b9c6-b07fb58e8b47/

U2 - 10.1186/s40798-024-00755-z

DO - 10.1186/s40798-024-00755-z

M3 - Journal articles

C2 - 39147945

AN - SCOPUS:85201409538

VL - 10

JO - Sports Medicine - Open

JF - Sports Medicine - Open

SN - 2199-1170

IS - 1

M1 - 89

ER -