Table 2.
Characteristics of included studies
| Author Year & Country | Study design | Sample | Index test | Reference standard | MRI system | MRI sequence parameters | Landmarks and measurements | Observers | Statistical tool | Findings/ outcome metrics | Conclusion |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
Eley et al., 201322
UK |
In vivo, prospective | Three patients with a mean age of 37 years (range, 21–60 years) and five patients with a mean age of 19 years (range, 16–27 years) | 2D MRI cephalogram (Black bone image, T1WI and T2WI of midsagittal plane) | Conventional 2D LCR | 1.5T MRI system | TR: 8.6 ms, TE: 4.2 ms, Scan FOV: 24 cm, Phase encode: 256, Frequency encode: 256, Receive bandwidth: 31.25, NEX: 2, ETL: 1 | 11 landmarks (nine skeletal and two dental); 17 measurements (11 linear and six angular) | One observer repeated the measurements ten times (time interval and blinding not reported) | Coefficient of variation to assess repeatability between measures |
|
Black-bone MRI sequence showed comparable accuracy to that of LCR in landmark identification |
|
Heil et al., 201728
Germany |
In vitro and in vivo, prospective |
|
2D MRI cephalogram (Postprocessed) | Conventional 2D LCR and phantom measurements | 3T MRI system with a 16-channel multipurpose coil using T1 weighted, isotropic SPACE sequence | TE: 26 ms, TR: 800 ms, bandwidth: 501 Hz/pixel, number of averages: 2, ETL: 63, FOV: 175× 175 mm, acquisition matrix: 256 × 256, voxel size: 0.68× 0.68 mm ×0.68 mm, number of sections: 192, time of acquisition: 6:59 min | 18 landmarks (10 skeletal and dental; 10 midsagittal and eight bilateral); 24 measurements (10 linear and 14 angular) |
Two independent observers (one radiologist and one orthodontist) analysed twice in 4 weeks interval (blinding not reported) |
|
|
Measurements from LCR derived from high-resolution isotropic MRI datasets has high concordance to the corresponding measurements on conventional LCR. |
|
Juerchott et al., 201824
Germany |
In vitro and in vivo, prospective |
|
T1WI 3D MRI dataset (Patient data in five different head positions and phantom data in three different head positions) | Phantom to validate accuracy | 3T MRI system using a 16-channel multipurpose coil with high-resolution T 1-weighted 3D MSVAT-SPACE prototype sequence applied | TE: 5.8 ms, TR: 800 ms, bandwidth: 625 Hz/pixel, number of averages: 1, ETL: 100, FOV: 171× 171 mm, acquisition matrix: 320 × 320, voxel size: 0.53× 0.53 mm ×0.53 mm, number of sections: 256, time of acquisition: 7:01 min | 27 landmarks (skeletal and dental); 45 measurements (26 linear and 19 angular) | One radiologist with 5 year experience (repeated measures and blinding not reported) |
|
|
Accurate and reproducible 3D cephalometric analysis can be performed using MRI |
|
Jency et al., 201932
India |
In vivo, prospective | 11 patients (age 18–30 years) | 2D MRI cephalogram (Black bone image, T1WI and T2WI of midsagittal plane) | Conventional 2D LCR | 1.5T MRI system | TR: 11 ms, TE: 4.20 ms, FOV: 220 mm | Hard tissue and soft tissue landmarks; 18 measurements (12 linear and six angular) |
One radiologist repeated measurements ten times (time interval and blinding not reported) | 1. Covariance between LCR and MRI images 2.Paired T-test between mean values of LCR and MRI measurements |
The ease of landmark identification was difficult on T2 weighted images, but on black bone images, it was comparable to LCR. | Black bone MRI sequence can be an effective non-ionizing imaging modality over conventional methods. |
|
Maspero et al., 201923
Italy |
In vivo, retrospective | 18 subjects (four male; 14 female) with a mean age of 37.8 ± 10.2 years | T2WI 3D MRI dataset | CBCT (Acquisition parameters- 4 mm slice thickness, 170 × 230 mm FOV, 20 sec scan time, 0.49 × 0.49×0.5 mm voxel size, 120 kVp, and 3–8 mA) | 3T MRI system | TR: 2500 ms, TE: 280 ms, NEX: 1, ETL: 65, bandwidth: 255 Hz/pixel, flip angle: 90°, FOV: 240 × 240×180 mm, voxel size: 0.49 × 0.49×0.50 mm, section thickness: 0.49 mm, and time of acquisition: 5:27 min | 18 landmarks (10 midsagittal and four lateral points) 24 measurements (11 linear and 13 angular) |
Two independent orthodontist performed the analysis twice in 3 weeks interval | 1. Intra- and interobserver agreement by ICC
|
1.Both CBCT and MRI showed good reliability, with mean intraobserver ICCs of 0.977/0.971 for CBCT and 0.881/ 0.912 for MRI.
|
Cephalometric measurements using 3T-MRI possess adequate reliability and repeatability, and satisfying agreement with CBCT measurements. |
|
Juerchott et al., 202026
Germany |
In vivo, prospective | 16 patients (8 males; 8 females) with a mean age of 23.3 ± 7.5 years (range, 14–40 years) | T1WI 3D MRI dataset | None | 3T MRI system using a dedicated 15-channel dental surface coil and T1-weighted 3D MSVAT-SPACE prototype sequence applied | TE: 5.8 ms, TR: 800 ms, bandwidth: 625 Hz/pixel, number of averages: 1, ETL: 100, FOV: 171× 171 mm, acquisition matrix: 320 × 320, voxel size: 0.53× 0.53 mm ×0.53 mm, number of sections: 256, time of acquisition: 7:01 min | 42 landmarks [28 skeletal (14 midsagittal and 14 bilateral) and 16 dental)] | Two independent radiologists identified landmarks twice after more than 4 weeks interval (Blinding done) |
|
|
High-resolution 3D MRI enables reliable determination of 3D cephalometric landmarks with high intra- and interrater reliability |
|
Juerchott et al., 202025
Germany |
In vivo, prospective | 12 patients (8 males, 4 females) with a mean of 26.1 ± 6.6 years (range, 17–40 years) | T1WI 3D MRI dataset | CBCT (Acquisition parameters- tube voltage: 98 kV, tube current: 5 mAs, scanning time: 14 s, FOV: 150 × 150 mm, and isotopic voxel size: 0.25 mm) | 3T MRI system using a dedicated 15-channel dental surface coil and T 1-weighted 3D MSVAT-SPACE prototype sequence applied | TE: 5.8 ms, TR: 800 ms, bandwidth: 625 Hz/pixel, number of averages: 1, ETL: 100, FOV: 171× 171 mm, acquisition matrix: 320 × 320, voxel size: 0.53× 0.53 mm ×0.53 mm, number of sections: 256, time of acquisition: 7:01 min | 27 landmarks (skeletal and dental) 35 measurements (18 linear and 17 angular) |
Two independent radiologists performed the analysis twice after more than 4 weeks interval (Blinding done) | Calculation of Euclidean distances, ICC, Bland- Altman analysis, and equivalence testing (linear mixed effects model) with a predefined equivalence margin of ±1°/1 mm. |
|
3T MRI enables reliable 3D cephalometric analysis and excellent agreement with CBCT measurements |
|
Marz et al., 202127
Germany |
In vitro, prospective | Three human cadaver head preparations | T1WI 3D MRI dataset with no post-processing | Conventional 2D LCR | 3T MR scanner and a standard 20-channel head-neck-coil was used and T1-weighted multislice Turbo Spin Echo MR images was obtained | TE: 9.9 ms, TR: 300 ms, turbo factor: 3, in-plane spatial resolution: 0.88 × 0.88 mm2, slice thickness:1.5 mm, 120 slices, total acquisition time: 19.5 min, three averages | 19 skeletal and dental landmarks; 13 angular measurements | Five independent orthodontists (Blinding done and repetitive measures not reported) |
|
|
A reliable method for cephalometric analysis of a 3D MRI dataset with semi-automatic dataset orientation was established |
|
Abkai C et al., 202121
Germany |
In vitro, prospective | One patient (male) | 7 MRI cephalometric projections (MCPs) with various scan parameters and no post-processing | Conventional 2D LCR | 3T MRI system with eight-channel head coil | Pixel size 0.39 × 0.39 mm or 0.2 × 0.2 mm, FOV 293.3 × 293.3 mm or 300 × 300 mm, scan time ranging from 5 to 154 sec, TE: 358 to 360 μs, TR: 4.2 to 16.9 ms, pixel bandwidth: 816, 517 or 259 Hz and NEX: one or 2 | 14 skeletal and dental landmarks; 10 angular measurements | 40 orthodontists with at least 15 years' experience (randomisation of radiographs and blinding done;repetitive measures not reported) | Levene’s test for evaluating homogeneity of variance and two-tailed t-tests |
|
MCPs can be acquired much faster, and this study demonstrated the potential of this new method. |
ANOVA, Analysis of Variance; CBCT, Cone Beam Computed Tomography; 2D, two-dimensional; 3D, Three dimensional; ETL, Echo train length; FH, Frankfort horizontal; FOV, Field of View; Hz, Hertz; ICC, Intraclass Coefficient; LCR, Lateral Cephalometric Radiograph; MRI, Magnetic Resonance Imaging; MSVAT-SPACE, Multiple-Slab acquisition with View Angle Tilting gradient based on Sampling Perfection with Application optimised Contrast using different flip angle Evolution; NEX, Number of excitations; SPACE, Sampling Perfection with Application optimised Contrast using different flip angle Evolution; T, Tesla; TE, echo time; TR, repetition time; T1WI, T1 Weighted Images; T2WI, T2 Weighted Images; cm, centimetres; kV, tube voltage; kVp, kilovoltage Peak; mA, milliampere; min, minutes; mm, millimetres; ms, milliseconds; s, second; μs, microseconds.