Alexander Juerchott
Overview
Explore the profile of Alexander Juerchott including associated specialties, affiliations and a list of published articles.
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30
Citations
293
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Recent Articles
1.
Li H, Ozen A, Juerchott A, Breckwoldt M, Jesser J, Vollherbst D, et al.
Sci Rep
. 2025 Feb;
15(1):7195.
PMID: 40021671
The increasing number of patients with metal implants raises concerns about metal-induced geometric distortions (MD) in MR-guided treatments. This study proposes a method for three-dimensional quantification of MD and evaluates...
2.
Jende F, Hilgenfeld T, Juerchott A, Kurz F, Bendszus M, Schoenfeld M, et al.
Neurology
. 2023 May;
101(6):e677-e678.
PMID: 37185122
No abstract available.
3.
Roser C, Hilgenfeld T, Saleem M, Ruckschloss T, Heiland S, Bendszus M, et al.
J Orofac Orthop
. 2023 Jan;
85(4):279-288.
PMID: 36700953
Purpose: To assess magnetic resonance imaging (MRI) artefacts caused by different computer-aided design/computer-aided manufacturing (CAD/CAM) retainers in comparison with conventional hand bent stainless steel twistflex retainers in vivo. Materials And...
4.
Miotk N, Schwindling F, Zidan M, Juerchott A, Rammelsberg P, Hosseini Z, et al.
J Dent
. 2023 Jan;
130:104422.
PMID: 36649822
Objectives: To determine the reliability and accuracy of intraoral radiography (IR), cone-beam-computed tomography (CBCT), and dental magnetic resonance imaging (dMRI) in measuring peri‑implant bone defects around single zirconia implants. Methods:...
5.
Juerchott A, Roser C, Saleem M, Nittka M, Lux C, Heiland S, et al.
Clin Oral Investig
. 2023 Jan;
27(5):2375-2384.
PMID: 36640179
Objectives: To evaluate the diagnostic MRI compatibility of different fixed orthodontic retainers using a high-resolution 3D-sequence optimized for artifact reduction. Materials And Methods: Maxillary and mandibular retainers made of five...
6.
Zidan M, Schwindling F, Juerchott A, Mente J, Nittka M, Hosseini Z, et al.
Sci Rep
. 2022 Aug;
12(1):14068.
PMID: 35982139
To evaluate whether high-resolution, non-contrast-enhanced dental MRI (dMRI) can reliably and accurately measure the canal length of incisors and canines compared with cone-beam computed tomography (CBCT). Three-Tesla dMRI was performed...
7.
Zidan M, Schwindling F, Juerchott A, Mente J, Gehrig H, Nittka M, et al.
Clin Oral Investig
. 2022 Jul;
26(11):6765-6772.
PMID: 35861757
Objectives: To prospectively assess the reliability and accuracy of high-resolution, dental MRI (dMRI) for endodontic working length (WL) measurements of premolars and molars under clinical conditions. Materials And Methods: Three-Tesla...
8.
Hilgenfeld T, Saleem M, Schwindling F, Ludwig U, Hovener J, Bock M, et al.
Invest Radiol
. 2022 May;
57(11):720-727.
PMID: 35640007
Objectives: The aims of this study were to quantify T1/T2-relaxation times of the dental pulp, develop a realistic tooth model, and compare image quality between cone-beam computed tomography (CBCT) and...
9.
Jende J, Mooshage C, Kender Z, Schimpfle L, Juerchott A, Nawroth P, et al.
Front Endocrinol (Lausanne)
. 2022 May;
13:839774.
PMID: 35620394
Objective: The pathogenesis of diabetic polyneuropathy (DN) is poorly understood and given the increasing prevalence of DN, there is a need for clinical or imaging biomarkers that quantify structural and...
10.
Jende J, Mooshage C, Kender Z, Schimpfle L, Juerchott A, Heiland S, et al.
Ann Clin Transl Neurol
. 2022 Apr;
9(6):830-840.
PMID: 35488789
Objectives: Clinical and histological studies have found evidence that nerve ischemia is a major contributor to diabetic neuropathy (DN) in type 2 diabetes (T2D). The aim of this study was...