Literature DB >> 19406300

Validity for the simplified water displacement instrument to measure arm lymphedema as a result of breast cancer surgery.

Ase Sagen1, Rolf Kåresen, Per Skaane, May Arna Risberg.   

Abstract

OBJECTIVES: To evaluate concurrent and construct validity for the Simplified Water Displacement Instrument (SWDI), an instrument for measuring arm volumes and arm lymphedema as a result of breast cancer surgery.
DESIGN: Validity design.
SETTING: Hospital setting. PARTICIPANTS: Women (N=23; mean age, 64+/-11y) were examined 6 years after breast cancer surgery with axillary node dissection.
INTERVENTIONS: Not applicable. MAIN OUTCOME MEASURES: The SWDI was included for measuring arm volumes to estimate arm lymphedema as a result of breast cancer surgery. A computed tomography (CT) scan was included to examine the cross-sectional areas (CSAs) in square millimeters for the subcutaneous tissue, for the muscle tissue, and for measuring tissue density in Hounsfield units. Magnetic resonance imaging (MRI) with T2-weighted sequences was included to show increased signal intensity in subcutaneous and muscle tissue areas.
RESULTS: The affected arm volume measured by the SWDI was significantly correlated to the total CSA of the affected upper limb (R=.904) and also to the CSA of the subcutaneous tissue and muscles tissue (R=.867 and R=.725), respectively (P<.001). The CSA of the subcutaneous tissue for the upper limb was significantly larger compared with the control limb (11%). Tissue density measured in Hounsfield units did not correlate significantly with arm volume (P>.05). The affected arm volume was significantly larger (5%) than the control arm volume (P<.05). Five (22%) women had arm lymphedema defined as a 10% increase in the affected arm volume compared with the control arm volume, and an increased signal intensity was identified in all 5 women on MRI (T2-weighted, kappa=.777, P<.001).
CONCLUSIONS: The SWDI showed high concurrent and construct validity as shown with significant correlations between the CSA (CT) of the subcutaneous and muscle areas of the affected limb and the affected arm volume (P>.001). There was a high agreement between those subjects who were diagnosed with arm lymphedema by using the SWDI and the increased signal intensity on MRI, with a kappa value of .777 (P<.001). High construct validity for the SWDI was confirmed for arm lymphedema as a volume increase, but it was not confirmed for lymphedema without an increase in arm volume (swelling). The SWDI is a simple and valid tool for estimating arm volume and arm lymphedema after breast cancer surgery.

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Year:  2009        PMID: 19406300     DOI: 10.1016/j.apmr.2008.11.016

Source DB:  PubMed          Journal:  Arch Phys Med Rehabil        ISSN: 0003-9993            Impact factor:   3.966


  8 in total

1.  Comparison of diagnostic accuracy of clinical measures of breast cancer-related lymphedema: area under the curve.

Authors:  Betty J Smoot; Josephine F Wong; Marylin J Dodd
Journal:  Arch Phys Med Rehabil       Date:  2011-04       Impact factor: 3.966

2.  Prospective study of shoulder strength, shoulder range of motion, and lymphedema in breast cancer patients from pre-surgery to 5 years after ALND or SLNB.

Authors:  Roser Belmonte; Monique Messaggi-Sartor; Montse Ferrer; Angels Pont; Ferran Escalada
Journal:  Support Care Cancer       Date:  2018-04-12       Impact factor: 3.603

3.  Diagnosis of Upper-Quadrant Lymphedema Secondary to Cancer: Clinical Practice Guideline From the Oncology Section of APTA.

Authors:  Kimberly Levenhagen; Claire Davies; Marisa Perdomo; Kathryn Ryans; Laura Gilchrist
Journal:  Rehabil Oncol       Date:  2017-06-30

Review 4.  Diagnosis of Upper Quadrant Lymphedema Secondary to Cancer: Clinical Practice Guideline From the Oncology Section of the American Physical Therapy Association.

Authors:  Kimberly Levenhagen; Claire Davies; Marisa Perdomo; Kathryn Ryans; Laura Gilchrist
Journal:  Phys Ther       Date:  2017-07-01

5.  Deep learning-based quantitative estimation of lymphedema-induced fibrosis using three-dimensional computed tomography images.

Authors:  Kyo-In Koo; Chang Ho Hwang; Hyewon Son; Suwon Lee; Kwangsoo Kim
Journal:  Sci Rep       Date:  2022-09-13       Impact factor: 4.996

Review 6.  The impact of early detection and intervention of breast cancer-related lymphedema: a systematic review.

Authors:  Chirag Shah; Douglas W Arthur; David Wazer; Atif Khan; Sheila Ridner; Frank Vicini
Journal:  Cancer Med       Date:  2016-03-19       Impact factor: 4.452

7.  The Effect of Acupuncture in Breast Cancer-Related Lymphoedema (BCRL): A Systematic Review and Meta-Analysis.

Authors:  Tsai-Ju Chien; Chia-Yu Liu; Ching-Ju Fang
Journal:  Integr Cancer Ther       Date:  2019 Jan-Dec       Impact factor: 3.279

Review 8.  Biology of Lymphedema.

Authors:  Bianca Brix; Omar Sery; Alberto Onorato; Christian Ure; Andreas Roessler; Nandu Goswami
Journal:  Biology (Basel)       Date:  2021-03-25
  8 in total

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