Preoperative Evaluation of Lingual Cortical Plate Thickness and the Anatomical Relationship of the Lingual Nerve to the Lingual Cortical Plate via 3T MRI Nerve-Bone fusion.

IF 2.9 2区 医学 Q1 DENTISTRY, ORAL SURGERY & MEDICINE Dento maxillo facial radiology Pub Date : 2024-11-26 DOI:10.1093/dmfr/twae060
Dongmei Jiang, Junhuan Hong, Yalan Yan, Hao Huang, Peiying You, Weilin Huang, Xiance Zhao, Dejun She, Dairong Cao
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Abstract

Objectives: To evaluate the reliability of 3 T MRI nerve-bone fusion in assessing the lingual nerve (LN) and its anatomical relationship to the lingual cortical plate prior to the impacted mandibular third molar (IMTM) extraction.

Methods: The MRI nerve and bone sequences used in this study were 3D-T2-weighted fast field echo (3D-T2-FFE) and fast field echo resembling a CT using restricted echo-spacing (FRACTURE), respectively. Both sequences were performed in 25 subjects, and the resulting 3D-T2-FFE/FRACTURE fusion images were assessed by two independent observers. Semi-quantitative analyses included assessments of overall image quality, image artifacts, nerve continuity, and the detectability of five intermediate points (IPs). Quantitative analyses included measurements of the lingual cortical plate thickness (LCPT), vertical distance (V1* and V2*) and the closest horizontal distance (CHD) between the LN and the lingual cortical plate. Reliability was evaluated using weighted Cohen's kappa coefficient (κ), intraclass correlation coefficient (ICC) and Bland-Altman plots. Differences in LCPT between 3D-T2-FFE/FRACTURE fusion images and one-beam computed tomography (CBCT) were compared using independent samples T-tests or Mann-Whitney U tests.

Results: The fusion images demonstrated that the LN continuity score was 3.00 (1.00) (good), with 88% (44/50) of LNs displayed continuously to the IMTM level. Intra-reader agreement for nerve continuity was moderate (κ = 0.527), as was inter-reader agreement (κ = 0.428). The intra-reader and inter-reader agreement for LCPT measurements at the neck, mid-root and apex of the IMTM were all moderate (ICC > 0.60). Intra-reader agreements for V1*, V2* and CHD were moderate to excellent (ICC = 0.904, 0.967 and 0.723, respectively), and inter-reader agreements for V1*, V2* and CHD were also moderate to excellent (ICC = 0.948, 0.941 and 0.623, respectively). The reliability of LCPT measurements between 3D-T2-FFE/FRACTURE fusion and CBCT was moderate (ICC = 0.609-0.796).

Conclusions: The 3D-T2-FFE/FRACTURE fusion technique demonstrated potential feasibility for the identification of the LN and its relationship to the lingual cortical plate, as well as for the measurement of LCPT.

Advances in knowledge: This study has generated a dataset that is capable of simultaneously defining the LN and LCPT.

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通过 3T 磁共振成像神经-骨融合术术前评估舌皮质板厚度以及舌神经与舌皮质板的解剖关系。
目的评估在下颌第三磨牙(IMTM)拔除术前使用3 T磁共振神经-骨融合技术评估舌神经(LN)及其与舌皮质板解剖关系的可靠性:本研究使用的核磁共振神经和骨骼序列分别为三维-T2加权快速场回波(3D-T2-FFE)和使用受限回波间距的类似CT的快速场回波(FRACTURE)。这两种序列均在 25 名受试者中进行,所产生的 3D-T2-FFE/FRACTURE 融合图像由两名独立观察者进行评估。半定量分析包括评估整体图像质量、图像伪影、神经连续性和五个中间点(IP)的可探测性。定量分析包括测量舌皮质板厚度(LCPT)、垂直距离(V1* 和 V2*)以及 LN 与舌皮质板之间的最近水平距离(CHD)。使用加权科恩卡帕系数 (κ)、类内相关系数 (ICC) 和 Bland-Altman 图评估可靠性。使用独立样本 T 检验或 Mann-Whitney U 检验比较了 3D-T2-FFE/FRACTURE 融合图像与单光束计算机断层扫描 (CBCT) 之间的 LCPT 差异:融合图像显示 LN 连续性评分为 3.00 (1.00)(良好),88%(44/50)的 LN 连续显示至 IMTM 水平。神经连续性的阅片师内部一致性为中等(κ = 0.527),阅片师之间的一致性也是中等(κ = 0.428)。在 IMTM 的颈部、根中部和顶点进行的 LCPT 测量的读数内和读数间一致性均为中等(ICC > 0.60)。V1*、V2* 和 CHD 的读数器内一致性为中等至优秀(ICC 分别为 0.904、0.967 和 0.723),V1*、V2* 和 CHD 的读数器间一致性也为中等至优秀(ICC 分别为 0.948、0.941 和 0.623)。3D-T2-FFE/FRACTURE融合与CBCT之间LCPT测量的可靠性为中等(ICC = 0.609-0.796):结论:3D-T2-FFE/FRACTURE 融合技术在识别 LN 及其与舌皮质板的关系以及测量 LCPT 方面具有潜在的可行性:本研究生成的数据集能够同时定义 LN 和 LCPT。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
5.60
自引率
9.10%
发文量
65
审稿时长
4-8 weeks
期刊介绍: Dentomaxillofacial Radiology (DMFR) is the journal of the International Association of Dentomaxillofacial Radiology (IADMFR) and covers the closely related fields of oral radiology and head and neck imaging. Established in 1972, DMFR is a key resource keeping dentists, radiologists and clinicians and scientists with an interest in Head and Neck imaging abreast of important research and developments in oral and maxillofacial radiology. The DMFR editorial board features a panel of international experts including Editor-in-Chief Professor Ralf Schulze. Our editorial board provide their expertise and guidance in shaping the content and direction of the journal. Quick Facts: - 2015 Impact Factor - 1.919 - Receipt to first decision - average of 3 weeks - Acceptance to online publication - average of 3 weeks - Open access option - ISSN: 0250-832X - eISSN: 1476-542X
期刊最新文献
Automated Tooth Segmentation in Magnetic Resonance Scans Using Deep Learning. Development and Evaluation of a Deep Learning Model to Reduce Exomass-Related Metal Artefacts in Cone-Beam Computed Tomography of the Jaws. Preoperative Evaluation of Lingual Cortical Plate Thickness and the Anatomical Relationship of the Lingual Nerve to the Lingual Cortical Plate via 3T MRI Nerve-Bone fusion. Carotid calcifications in panoramic radiographs can predict vascular risk. Preparing for downstream tasks in AI for dental radiology: a baseline performance comparison of deep learning models.
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