Joseph M Aulino1, Elizabeth M Wulff-Burchfield2, Mary S Dietrich2,3, Sheila H Ridner3, Kenneth J Niermann4, Jie Deng3, Bethany A Rhoten3, Jennifer K Doersam3, Lee Ann Jarrett5, Kyle Mannion6, Barbara A Murphy2. 1. 1 Division of Neuroradiology, Department of Radiology and Radiological Sciences, Vanderbilt University Medical Center , Nashville, Tennessee. 2. 2 Department of Medicine, Vanderbilt University Medical Center , Nashville, Tennessee. 3. 3 School of Nursing, Vanderbilt University Medical Center , Nashville, Tennessee. 4. 4 Department of Radiation Oncology, Vanderbilt University Medical Center , Nashville, Tennessee. 5. 5 College of Nursing, East Carolina University , Greenville, North Carolina. 6. 6 Department of Surgery, Vanderbilt University Medical Center , Nashville, Tennessee.
Abstract
BACKGROUND: The late effect continuum of lymphedema and fibrosis (LEF) affects more than 70% of patients after treatment for head and neck cancer (HNC). LEF is associated with symptom burden and decreased function and quality of life. Although surveillance imaging is common posttreatment, objective assessment of soft tissues is not, likely due to the lack of objective evaluation methods and understanding of the significance of LEF. We undertook the development of a tool to measure LEF using CT scans in HNC patients. METHODS AND RESULTS: We developed a CT measurement tool assessing sites of soft tissue damage secondary to tumor, surgery, or radiation. The tool was applied to pre- and posttreatment CT scans for 10 HNC patients. The data were reviewed, and the initial tool was modified. Ten additional patients' scans were assessed using the revised tool. The tool was modified further after data review by an expert panel and was then applied to scans from all 20 patients. The final tool included 11 items as follows: grading of fat stranding at 6 sites (axial reconstruction images, scale 0-2), measurement of epiglottic thickness (sagittal images, scale mm), and measurement of prevertebral soft tissue thickness at C3 (sagittal images, scale mm). A total of 176 CT scans were evaluated from 20 patients (range 4-14 examinations/patient). Preliminary data demonstrated face validity. CONCLUSIONS: The final LEF assessment tool (CT-LEFAT) provides a standardized method for assessing critical sites that are involved by LEF. Studies to assess reliability and validity are ongoing.
BACKGROUND: The late effect continuum of lymphedema and fibrosis (LEF) affects more than 70% of patients after treatment for head and neck cancer (HNC). LEF is associated with symptom burden and decreased function and quality of life. Although surveillance imaging is common posttreatment, objective assessment of soft tissues is not, likely due to the lack of objective evaluation methods and understanding of the significance of LEF. We undertook the development of a tool to measure LEF using CT scans in HNC patients. METHODS AND RESULTS: We developed a CT measurement tool assessing sites of soft tissue damage secondary to tumor, surgery, or radiation. The tool was applied to pre- and posttreatment CT scans for 10 HNC patients. The data were reviewed, and the initial tool was modified. Ten additional patients' scans were assessed using the revised tool. The tool was modified further after data review by an expert panel and was then applied to scans from all 20 patients. The final tool included 11 items as follows: grading of fat stranding at 6 sites (axial reconstruction images, scale 0-2), measurement of epiglottic thickness (sagittal images, scale mm), and measurement of prevertebral soft tissue thickness at C3 (sagittal images, scale mm). A total of 176 CT scans were evaluated from 20 patients (range 4-14 examinations/patient). Preliminary data demonstrated face validity. CONCLUSIONS: The final LEF assessment tool (CT-LEFAT) provides a standardized method for assessing critical sites that are involved by LEF. Studies to assess reliability and validity are ongoing.
Entities:
Keywords:
computed tomography; epiglottis; head and neck cancer; lymphedema; prevertebral soft tissue; radiation therapy
Authors: S K Mukherji; A A Mancuso; I M Kotzur; W M Mendenhall; P S Kubilis; R P Tart; W R Lee; D Freeman Journal: Radiology Date: 1994-10 Impact factor: 11.105
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Authors: Jie Deng; Barbara A Murphy; Mary S Dietrich; Nancy Wells; Kenneth A Wallston; Robert J Sinard; Anthony J Cmelak; Jill Gilbert; Sheila H Ridner Journal: Head Neck Date: 2012-07-12 Impact factor: 3.147
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