AI-supported autonomous uterus reconstructions: first application in MRI using 3D SPACE with iterative denoising
Rationale and Objectives - T2-weighted imaging in at least two orthogonal planes is recommended for assessment of the uterus. To determine whether a convolutional neural network-based algorithm could be used for the re-constructions of uterus axes derived from a 3D SPACE with iterative denoising. -...
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| Main Authors: | , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
April 2024
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| In: |
Academic radiology
Year: 2024, Volume: 31, Issue: 4, Pages: 1400-1409 |
| ISSN: | 1878-4046 |
| DOI: | 10.1016/j.acra.2023.09.035 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1016/j.acra.2023.09.035 Verlag, kostenfrei, Volltext: https://www.sciencedirect.com/science/article/pii/S1076633223005147 
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| Author Notes: | Daniel Hausmann, Aline Lerch, Sebastian Hitziger, Monika Farkas, Elisabeth Weiland, Andreas Lemke, Maximilian Grimm, Rahel A. Kubik-Huch |
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| 245 | 1 | 0 | |a AI-supported autonomous uterus reconstructions |b first application in MRI using 3D SPACE with iterative denoising |c Daniel Hausmann, Aline Lerch, Sebastian Hitziger, Monika Farkas, Elisabeth Weiland, Andreas Lemke, Maximilian Grimm, Rahel A. Kubik-Huch |
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| 520 | |a Rationale and Objectives - T2-weighted imaging in at least two orthogonal planes is recommended for assessment of the uterus. To determine whether a convolutional neural network-based algorithm could be used for the re-constructions of uterus axes derived from a 3D SPACE with iterative denoising. - Materials and Methods - 50 patients aged 18-81 (mean: 42) years who underwent an MRI examination of the uterus participated voluntarily in this prospective study after informed consent. In addition to a standard MRI pelvis protocol, a 3D SPACE research application sequence was acquired in sagittal orientation. Reconstructions for both the cervix and the cavum in the short and long axes were performed by a research trainee (T), an experienced radiologist (E), and the prototype software (P). In the next step, the reconstructions were evaluated anonymously by two experienced readers according to 5-point-Likert-Scales. In addition, the length of the cervical canal, the length of the cavum and the distance between the tube angles were measured on all reconstructions. Interobserver agreement was assessed for all ratings. - Results - For all axes, significant differences were found between the scores of the reconstructions by research T, E and P. P received higher scores and was preferred significantly more often with the exception of the comparison of the reconstruction Cervix short of E (Cervix short: P vs. T: p = 0.02; P vs. E: p = 0.26; Cervix long: P vs. T: p = 0.01; P vs. E: p < 0.01; Cavum short: P vs. T: p = 0.01; P vs. E: p = 0.02; Cavum long: P vs. T: p < 0.01; P vs. E: p < 0.01). Regarding the measured diameters, (length of cervical canal/cavum/distance between tube angles) significantly larger diameters were recorded for P compared to E and T (Cervix long (mm): T: 25.43; E: 25.65; P: 26.65; Cavum short (mm): T: 26.24; E: 25.04; P: 27.33; Cavum long (mm): T: 31.98; E: 32.91; P: 34.41; P vs. T: p < 0.01); P vs. E: p = 0.04). Moderate to substantial agreement was found between Reader 1 and Reader 2 (range: 0.39-0.67). - Conclusion - P was able to reconstruct the axes at least as well as or better than E and T. P could thereby lead to workflow facilitation and enable more efficient reporting of uterine MRI. | ||
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