Abstract
Objective
Effective management of thyroid-associated ophthalmopathy (TAO) requires precise identification of the disease activity period as it is responsive to immunosuppressive treatment. Quantitative evaluations of orbital soft tissue is useful for analysing disease stages. We aimed to establish a method for orbital soft tissue volume calculation based on MRI data using 3D reconstruction technology. Further, we validated the accuracy and precision of this method and investigated volume differences between patients with TAO and healthy individuals.
Materials and Methods
Using Mimics software for 3D reconstruction based on orbital MRI data, we quantitatively measured orbital fat volume (FV) and extraocular muscle volume (MV) using a manual phantom, and in TAO patients and healthy volunteers (n=10 each). The phantom was made using a combination of butter and chicken muscle and 2 observers measured its volume. Volume calculations were compared to a previously established standard volume. One observer measured a typical TAO case 10 times to calculate intra-observer variability while 3 observers independently measured 10 TAO patients each to calculate inter-observer variability. Orbital soft tissue volumes between 10 TAO patients and 10 healthy individuals were compared.
Results
The precision of calculations for the phantom between the two observers varied from −4.60% to −2.78% for FV and between −4.13% and 0.71% for MV. Mean differences among repetitive calculations were lower than 4%, except during measurement of MV, which was 5.84%. The intraclass correlation coefficient varied from 0.976 to 0.996. FV was 15.53±3.06 mL in TAO patients and 11.32±1.68 mL(P=0.001)in healthy individuals, while MV was 3.19±0.82 mL in TAO patients and 2.45±0.57 mL(P=0.030)in healthy individuals.
Conclusions
This method of calculating orbital soft tissue volumes based on MRI data and 3D reconstruction is both reliable and accurate as it yielded significant differences in tissue volume between TAO patients and healthy individuals.
This article is protected by copyright. All rights reserved.
from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2E9gUcy
via IFTTT
Δεν υπάρχουν σχόλια:
Δημοσίευση σχολίου