Bone texture analysis using CT-simulation scans to individuate risk parameters for radiation-induced insufficiency fractures

Summary This study deals with the role of texture analysis as a predictive factor of radiation-induced insufficiency fractures in patients undergoing pelvic radiation. Introduction This study aims to assess the texture analysis (TA) of computed tomography (CT) simulation scans as a predictive factor...

Full description

Saved in:
Bibliographic Details
Published in:Osteoporosis international 2017-06, Vol.28 (6), p.1915-1923
Main Authors: Nardone, V., Tini, P., Carbone, S. F., Grassi, A., Biondi, M., Sebaste, L., Carfagno, T., Vanzi, E., De Otto, G., Battaglia, G., Rubino, G., Pastina, P., Belmonte, G., Mazzoni, L. N., Banci Buonamici, F., Mazzei, M. A., Pirtoli, L.
Format: Article
Language:English
Subjects:
Adult
Aged
Aged, 80 and over
Chemotherapy
Computed tomography
Endocrinology
Entropy
Female
Femur
Femur Neck - diagnostic imaging
Fractures
Fractures, Stress - diagnostic imaging
Fractures, Stress - etiology
Hip joint
Humans
Lumbar Vertebrae - diagnostic imaging
Male
Medicine
Medicine & Public Health
Middle Aged
Observer Variation
Original Article
Orthopedics
Pelvic Bones - injuries
Pelvic Bones - radiation effects
Pelvic Neoplasms - radiotherapy
Pelvis
Predictive Value of Tests
Radiation Injuries - diagnostic imaging
Radiation Injuries - etiology
Radiation therapy
Radiographic Image Interpretation, Computer-Assisted - methods
Radiotherapy Dosage
Radiotherapy, High-Energy - adverse effects
Radiotherapy, High-Energy - methods
Rheumatology
Risk Assessment - methods
Simulation
Tomography, X-Ray Computed - methods
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Summary This study deals with the role of texture analysis as a predictive factor of radiation-induced insufficiency fractures in patients undergoing pelvic radiation. Introduction This study aims to assess the texture analysis (TA) of computed tomography (CT) simulation scans as a predictive factor of insufficiency fractures (IFs) in patients with pelvic malignancies undergoing radiation therapy (RT). Methods We performed an analysis of patients undergoing pelvic RT from January 2010 to December 2014, 24 of whom had developed pelvic bone IFs. We analyzed CT-simulation images using ImageJ macro software and selected two regions of interest (ROIs), which are L5 body and the femoral head. TA parameters included mean ( m ), standard deviation (SD), skewness (sk), kurtosis ( k ), entropy ( e ), and uniformity ( u ). The IFs patients were compared (1:2 ratio) with controlled patients who had not developed IFs and matched for sex, age, menopausal status, type of tumor, use of chemotherapy, and RT dose. A reliability test of intra- and inter-reader ROI TA reproducibility with the intra-class correlation coefficient (ICC) was performed. Univariate and multivariate analyses (logistic regression) were applied for TA parameters observed both in the IFs and the controlled groups. Results Inter- and intra-reader ROI TA was highly reproducible (ICC > 0.90). Significant TA parameters on paired t test included L5 m ( p  = 0.001), SD ( p  = 0.002), k ( p  = 0.006), e (p = 0.004), and u ( p  = 0.015) and femoral head m ( p  
ISSN:0937-941X
1433-2965
DOI:10.1007/s00198-017-3968-5