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采用回波不对称和最小二乘法水脂分解迭代(IDEAL-IQ)方法评估髁突头部骨髓脂肪分数。

Assessment of bone marrow fat fractions in the mandibular condyle head using the iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method.

机构信息

Department of Oral and Maxillofacial Radiology, Yonsei University College of Dentistry, Seoul, Republic of Korea.

出版信息

PLoS One. 2021 Feb 26;16(2):e0246596. doi: 10.1371/journal.pone.0246596. eCollection 2021.

Abstract

The prevalence of temporomandibular joint disorder (TMD) is gradually increasing, and magnetic resonance imaging (MRI) is becoming increasingly common as a modality used to diagnose TMD. Edema and osteonecrosis in the bone marrow of the mandibular condyle have been considered to be precursors of osteoarthritis, but these changes are not evaluated accurately and quantitatively on routine MRI. The iterative decomposition of water and fat with echo asymmetry and least-squares estimation (IDEAL-IQ) method, as a cutting-edge MRI technique, can separate fat and water using three asymmetric echo times and the three-point Dixon method. The purpose of this study was to analyze the quantitative fat fraction (FF) in the mandibular condyle head using the IDEAL-IQ method. Seventy-nine people who underwent MRI using IDEAL-IQ were investigated and divided into 1) the control group, without TMD symptoms, and 2) the TMD group, with unilateral temporomandibular joint (TMJ) pain. In both groups, the FF of the condyle head in the TMJ was analyzed by two oral and maxillofacial radiologists. In the TMD group, 29 people underwent cone-beam computed tomography (CBCT) and the presence or absence of bony changes in the condylar head was evaluated. The FF measurements of the condyle head using IDEAL-IQ showed excellent inter-observer and intra-observer agreement. The average FF of the TMD group was significantly lower than that of the control group (p < 0.05). In the TMD group, the average FF values of joints with pain and joints with bony changes were significantly lower than those of joints without pain or bony changes, respectively (p < 0.05). The FF using IDEAL-IQ in the TMJ can be helpful for the quantitative diagnosis of TMD.

摘要

颞下颌关节紊乱病(TMD)的患病率逐渐增加,磁共振成像(MRI)作为一种诊断 TMD 的方法也越来越常见。下颌骨髁突骨髓中的水肿和骨坏死被认为是骨关节炎的前兆,但这些变化在常规 MRI 上不能准确和定量地评估。迭代分解水和脂肪的回声不对称和最小二乘法估计(IDEAL-IQ)方法作为一种先进的 MRI 技术,可以使用三个非对称回波时间和三点 Dixon 方法分离脂肪和水。本研究旨在使用 IDEAL-IQ 方法分析下颌髁突头部的定量脂肪分数(FF)。对 79 例行 IDEAL-IQ MRI 的人进行了研究,并分为 1)对照组,无 TMD 症状;2)TMD 组,单侧颞下颌关节(TMJ)疼痛。在两组中,两位口腔颌面放射科医生分析了 TMJ 髁突头部的 FF。在 TMD 组中,29 人接受了锥形束 CT(CBCT)检查,并评估了髁突头部是否存在骨变化。使用 IDEAL-IQ 的髁突头部 FF 测量值具有良好的观察者间和观察者内一致性。TMD 组的平均 FF 明显低于对照组(p<0.05)。在 TMD 组中,疼痛关节和有骨变化关节的平均 FF 值明显低于无疼痛或无骨变化关节(p<0.05)。TMJ 中使用 IDEAL-IQ 的 FF 有助于 TMD 的定量诊断。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6d5c/7909693/51a275a6b59a/pone.0246596.g001.jpg

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