AI-supported autonomous uterus reconstructions

• Verfasst von: Hausmann, Daniel [VerfasserIn]
• Verfasst von: Lerch, Aline [VerfasserIn]
• Verfasst von: Hitziger, Sebastian [VerfasserIn]
• Verfasst von: Farkas, Monika [VerfasserIn]
• Verfasst von: Weiland, Elisabeth [VerfasserIn]
• Verfasst von: Lemke, Andreas [VerfasserIn]
• Verfasst von: Grimm, Maximilian [VerfasserIn]
• Verfasst von: Kubik-Huch, Rahel A. [VerfasserIn]
• Titel: AI-supported autonomous uterus reconstructions
• Titelzusatz: first application in MRI using 3D SPACE with iterative denoising
• Verf.angabe: Daniel Hausmann, Aline Lerch, Sebastian Hitziger, Monika Farkas, Elisabeth Weiland, Andreas Lemke, Maximilian Grimm, Rahel A. Kubik-Huch
• E-Jahr: 2024
• Jahr: April 2024
• Umfang: 10 S.
• Illustrationen: Illustrationen
• Fussnoten: Online verfügbar: 3. November 2023, Artikelversion: 10. April 2024 ; Gesehen am 28.01.2025
• Titel Quelle: Enthalten in: Academic radiology
• Ort Quelle: Philadelphia, PA [u.a.] : Elsevier, 1994
• Jahr Quelle: 2024
• Band/Heft Quelle: 31(2024), 4 vom: Apr., Seite 1400-1409
• ISSN Quelle: 1878-4046
• DOI: doi:10.1016/j.acra.2023.09.035
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: 3D SPACE
• Sach-SW: Algorithm
• Sach-SW: Artificial intelligence
• Sach-SW: Female Pelvis
• Sach-SW: Magnetic Resonance Imaging
• K10plus-PPN: 1915732921

Abstract

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.