Objective: Accurate and convenient measurement of upper limb volume is an important clinical tool to measure incidence of lymphedema and response to treatments. There are several methods used to evaluate arm volumes. The most commonly used methods include water displacement and circumferential method (CM), but these techniques have some limitation in use and accuracy that needs the use of a new technique for volume and swelling detection: laser scanner 3D method (LS3D). The aim of the study was to compare, in terms of intra- and interreliability, the CM and LS3D methods for the upper limb measure in a healthy subject group.
Methods: Twelve healthy adults (average age, 29 ± 5.39 years; average weight, 63.88 ± 7.97 kg; and average height, 168.38 ± 7.29 cm) participated. Arm measurements were done using both CM and LS3D methods. Statistical analysis was conducted, and intra- and inter-reliability was investigated. CM and LS3D methods were also compared in terms of level of agreement.
Results: Both CM and LS3D methods have a high inter- and intrarater reliability and a satisfactory level of agreement, but we found a statistically significant difference in terms of volume. The laser scanner is a more accurate volume instrument, and our results shown a statistically significant difference of volumes between methods.
Conclusions: Our findings provide LS3D is an innovative method of measuring the upper limb volume that could be used instead of CM. It combines precision, reproducibility, ease of use, and the ability to measure geometrical parameters and shape information of the scanned limb.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1016/j.jvsv.2015.05.005 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Magnetic resonance elastography for noninvasive detection of liver fibrosis: is there an added value of 3D acquisition?
Abdom Radiol (NY)
November 2023
BioMedical Engineering and Imaging Institute (BMEII), Icahn School of Medicine at Mount Sinai, New York, NY, USA.
Purpose: (1) Assess the diagnostic performance of liver 3D magnetic resonance elastography (MRE) parameters (including stiffness, storage/loss modulus and damping ratio) compared to liver stiffness measured with 2D MRE for noninvasive detection of advanced liver fibrosis (F3-F4) and cirrhosis (F4) in patients with chronic liver disease. (2) Assess the value of serum markers (FIB-4) in detecting advanced liver fibrosis and cirrhosis in the same patients.
Methods: This was a single center, prospective IRB-approved cross-sectional study that included 49 patients (M/F: 23/26, mean age 50.
: Texture-Enhanced Deep Face Reconstruction in the Wild.
Sensors (Basel)
July 2023
Department of Computer and Information Sciences, Northumbria University, Newcastle-upon-Tyne NE1 8ST, UK.
We present , a new method for recovering high-fidelity 3D facial geometry and appearance with enhanced textures from single-view images. While vision-based face reconstruction has received intensive research in the past decades due to its broad applications, it remains a challenging problem because human eyes are particularly sensitive to numerically minute yet perceptually significant details. Previous methods that seek to minimize reconstruction errors within a low-dimensional face space can suffer from this issue and generate close yet low-fidelity approximations.
View Article and Find Full Text PDFFrom Keypoints to Object Landmarks via Self-Training Correspondence: A Novel Approach to Unsupervised Landmark Discovery.
IEEE Trans Pattern Anal Mach Intell
July 2023
This paper proposes a novel paradigm for the unsupervised learning of object landmark detectors. Contrary to existing methods that build on auxiliary tasks such as image generation or equivariance, we propose a self-training approach where, departing from generic keypoints, a landmark detector and descriptor is trained to improve itself, tuning the keypoints into distinctive landmarks. To this end, we propose an iterative algorithm that alternates between producing new pseudo-labels through feature clustering and learning distinctive features for each pseudo-class through contrastive learning.
View Article and Find Full Text PDFA Multidomain Approach to Assessing the Convergent and Concurrent Validity of a Mobile Application When Compared to Conventional Methods of Determining Body Composition.
Sensors (Basel)
October 2020
Airway & Exercise Physiology Research Laboratory, David Geffen School of Medicine, Los Angeles, CA 90095, USA.
Determining body composition via mobile application may circumvent limitations of conventional methods. However, the accuracy of many technologies remains unknown. This investigation assessed the convergent and concurrent validity of a mobile application (LS) that employs 2-dimensional digital photography (LS2D) and 3-dimensional photonic scanning (LS3D).
View Article and Find Full Text PDFQuantitative comparison between the laser scanner three-dimensional method and the circumferential method for evaluation of arm volume in patients with lymphedema.
J Vasc Surg Venous Lymphat Disord
January 2018
Department of Palliative Care, Pain Therapy and Rehabilitation, IRCCS Fondazione Istituto Nazionale dei Tumori, Milan, Italy.
Objective: Several methods are used to evaluate arm volumes. The most commonly used methods are water displacement and the circumferential method (CM), but these techniques have some limitation in application in clinical settings and accuracy. Recently, the laser scanner three-dimensional (LS3D) method was successfully proposed as a valid method for volume measurements of the upper limb in healthy individuals.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!