98%
921
2 minutes
20
Background: Lymphedema is a debilitating condition characterized by swelling from lymph fluid exceeding transport capacity. A gold standard for arm measurement is not established, and measurement methods vary. This study evaluates the comparability of the tape measure and Analytic Morphomics in deriving limb circumference measurements in patients with upper extremity lymphedema.
Methods: Fifteen participants with diagnosed upper limb lymphedema were included between July 2013 and June 2017 at Chang Gung Memorial Hospital in Taipei, Taiwan. Affected and unaffected arm circumferences were measured using a flexible tape or morphomic measurement at 10 cm above and below the elbow. Computed tomography scans were standardized, processed, smoothed with a piecewise polynomial algorithm for Analytic Morphomics of arm circumference. Comparative plots, mean percent difference, and adjusted coefficient of determination ( ) were utilized to compare the consistency of both measurement procedures.
Results: The tape measure and Analytic Morphomics demonstrated consistent measures of arm circumference. On the affected arm, the mean (95% CI) difference in arm circumference between methods was 1.60 cm (0.99-2.20) above, and 0.57 cm (0.23-0.91) below the elbow. Mean percent differences in circumference was 6.65% (SD 3.52%) above and 1.38% (SD 2.11%) below the elbow. The adjusted for both methods was 94% above and 96% below the elbow.
Conclusions: Analytic Morphomics showed strong consistency with the manual tape measure of arm circumference measurement in those with upper extremity lymphedema. Analytic Morphomics present an opportunity for a precise, granular measurement of limb composition for assessment of disease state and patient planning.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6846299 | PMC |
http://dx.doi.org/10.1097/GOX.0000000000002431 | DOI Listing |
Abdom Radiol (NY)
July 2025
Michigan Medicine, Ann Arbor, USA.
Purpose: Early detection of steatotic liver disease (SLD) is critically important. In clinical practice, hepatic steatosis is frequently diagnosed using computed tomography (CT) performed for unrelated clinical indications. An equation for estimating magnetic resonance proton density fat fraction (MR-PDFF) using liver attenuation on non-contrast CT exists, but no equivalent equation exists for post-contrast CT.
View Article and Find Full Text PDFAnn Am Thorac Soc
June 2025
Cork University Hospital, University College Cork, Cork, Ireland, Department of Radiology, , Cork, Ireland.
In cystic fibrosis (CF), body composition alterations are observed. Prevalence of obesity in CF is increasing with evidence suggesting a subsequent increase in cardiometabolic risk. We sought to assess body composition using analytic morphomics (AM) from ultra-low dose thoracic CT scans in CF patients on the triple CFTR modulator therapy, Elexacaftor/Tezacaftor/Ivacaftor (ETI).
View Article and Find Full Text PDFJ Thorac Dis
January 2025
Department of Surgery, University of Michigan, Ann Arbor, MI, USA.
Background: Esophagectomy following neoadjuvant chemoradiotherapy (nCRT) is a curative treatment for locally advanced esophageal cancer. However, pulmonary complications are the most common postoperative issues and can adversely affect survival. While numerous studies have investigated predictors for these complications and survival, morphomic predictors, derived from body composition measurements on computed tomography scans, have been rarely reported.
View Article and Find Full Text PDFClin Radiol
February 2025
School of Medicine, Cork University Hospital, Cork, Ireland; Department of Respiratory Medicine, Cork University Hospital, Cork, Ireland.
Aim: Idiopathic pulmonary fibrosis (IPF) is a debilitating and fatal lung disease. Changes in body composition potentially correlate with outcomes in patients with IPF.
Materials And Methods: Patients with IPF on antifibrotic treatment attending a single institution were identified and retrospectively evaluated (n=84).
Sci Rep
September 2024
Michigan Medicine, Ann Arbor, MI, USA.