Comparative Histologic Analysis of Coronally Advanced Flap With and Without Collagen Membrane for Root Coverage

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142033/1/jper0779.pd

The Causes of Early Implant Bone Loss: Myth or Science?

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141921/1/jper0322.pd

Effect of Enamel Matrix Derivative on Collagen Guided Tissue Regenerationâ Based Root Coverage Procedure

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141175/1/jper1446.pd

Effect of Ridge Morphology on Guided Bone Regeneration Outcome: Conventional Tomographic Study

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141560/1/jper1231.pd

A randomized clinical trial evaluating the efficacy of the sandwich bone augmentation technique in increasing buccal bone thickness during implant placement surgery

Objectives Sandwich bone augmentation ( SBA ) has been proposed to augment the width of edentulous ridges for implant placement. This study aimed to investigate the effect of a membrane on SBA for the regeneration of buccal implant dehiscence defects. Material and methods Twenty‐six healthy patients, each with a single defect, were randomly assigned into two groups. Both groups received an inner and outer layer of mineralized human cancellous and cortical particulate allograft. In the test group, a bovine pericardium membrane covered the bone grafts, while no membrane was placed in the control group. Cone beam computed tomography ( CBCT ) scans were taken before and immediately after implant placement and at 6 months post‐surgery. Results All implants placed were successfully osseointegrated at 6 months. Clinical re‐entry measurements showed significant buccal bone gain in the test group compared with the control group ( P   0.05). Cone beam computed tomography analysis demonstrated significant buccal bone gain of 1.22 mm in the test group. Radiographic vertical bone loss at 1‐year post‐surgery showed no significant differences between the groups. Conclusion Sandwich bone augmentation is a predictable technique for regenerating buccal bone on implant dehiscence defects. Addition of a barrier membrane prevented significant horizontal buccal bone resorption as space was maintained more effectively when compared with sites treated without a membrane.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/106765/1/clr12171.pd

Updated Clinical Considerations for Dental Implant Therapy in Irradiated Head and Neck Cancer Patients

An increasing number of reports indicate successful use of dental implants (DI) during oral rehabilitation for head and neck cancer patients undergoing tumor surgery and radiation therapy. Implant‐supported dentures are a viable option when patients cannot use conventional dentures due to adverse effects of radiation therapy, including oral dryness or fragile mucosa, in addition to compromised anatomy; however, negative effects of radiation, including osteoradionecrosis, are well documented in the literature, and early loss of implants in irradiated bone has been reported. There is currently no consensus concerning DI safety or clinical guidelines for their use in irradiated head and neck cancer patients. It is important for health care professionals to be aware of the multidimensional risk factors for these patients when planning oral rehabilitation with DIs, and to provide optimal treatment options and maximize the overall treatment outcome. This paper reviews and updates the impact of radiotherapy on DI survival and discusses clinical considerations for DI therapy in irradiated head and neck cancer patients.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/99596/1/jopr12028.pd

Cervical Enamel Projections in Unusual Locations: A Case Report and Miniâ Review

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/142078/1/jper0789.pd

Effects of a Mineralized Human Cancellous Bone Allograft in Regeneration of Mandibular Class II Furcation Defects

Peer Reviewedhttps://deepblue.lib.umich.edu/bitstream/2027.42/141918/1/jper0416.pd

A Large-Scale 3D Face Mesh Video Dataset via Neural Re-parameterized Optimization

We propose NeuFace, a 3D face mesh pseudo annotation method on videos via neural re-parameterized optimization. Despite the huge progress in 3D face reconstruction methods, generating reliable 3D face labels for in-the-wild dynamic videos remains challenging. Using NeuFace optimization, we annotate the per-view/-frame accurate and consistent face meshes on large-scale face videos, called the NeuFace-dataset. We investigate how neural re-parameterization helps to reconstruct image-aligned facial details on 3D meshes via gradient analysis. By exploiting the naturalness and diversity of 3D faces in our dataset, we demonstrate the usefulness of our dataset for 3D face-related tasks: improving the reconstruction accuracy of an existing 3D face reconstruction model and learning 3D facial motion prior. Code and datasets will be available at https://neuface-dataset.github.io.Comment: 9 pages, 7 figures, and 3 tables for the main paper. 8 pages, 6 figures and 3 tables for the appendi