Background: This study aimed to evaluate the reliability and reproducibility of different non-invasive methods for the assessment of peri-implant mucosal thickness.
Methods: Subjects with two adjacent dental implants in the central maxillary region were included in this study. Three different methods to assess facial mucosal thickness (FMT) were compared: digital file superimposition using Digital Imaging and Communication in Medicine (DICOM) and stereolithography (STL) files of the arch of interest (DICOM-STL), DICOM files alone, and non-ionizing ultrasound (US). Inter-rater reliability agreements between different assessment methods were analyzed using inter-class correlation coefficients (ICCs).
Results: A total of 50 subjects with 100 bone-level implants constituted the study population. Assessment of FMT using STL and DICOM files demonstrated excellent inter-rater reliability agreement. Mean ICC values of 0.97 and 0.95 were observed in the DICOM-STL and DICOM groups, respectively. Comparison between the DICOM-STL and US revealed good agreement, with an ICC of 0.82 (95% CI: 0.74 to 0.88) and a mean difference of -0.13 ± 0.50 mm (-1.13 to 0.86). Comparison between DICOM files alone versus US showed good agreement, with an ICC of 0.81 (95% CI: 0.73 to 0.89) and a mean difference of -0.23 ± 0.46 mm (-1.12 to 0.67). Comparison between DICOM-STL and DICOM files revealed excellent agreement, with an ICC of 0.94 (95% CI: 0.91 to 0.96) and a mean difference of 0.1 ± 0.29 mm (LOA -0.47 to 0.46).
Conclusions: Quantification of peri-implant mucosal thickness via analysis of DICOM-STL files, DICOM files, or US assessment are comparably reliable and reproducible methods.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1002/JPER.23-0102 | DOI Listing |
Injury
December 2024
Department of Orthopaedics, Larnaca General Hospital, State Health Services Organisation, Larnaca, Cyprus.
The purpose of this study was to establish typical dose values at orthopaedic operating rooms of the Larnaca General Hospital (LGH). Kerma area product (KAP), fluoroscopy time (FT) and cumulative air-kerma (K) measurements were collected for 821 patients who underwent common and reproducible trauma surgery over a five-year period, with three mobile C-arm systems; two equipped with an image-intensifier and one with a flat-panel detector. Dose indices were automatically extracted from radiation dose structured reports or DICOM meta-data files archived in the PACS, using custom-made software.
View Article and Find Full Text PDFData Brief
December 2024
Department of Human Oncology, University of Wisconsin-Madison, 600 Highland Ave, Madison, WI 53792, USA.
Purpose: Integrated MRI and linear accelerator systems (MR-Linacs) provide superior soft tissue contrast, and the capability of adapting radiotherapy plans to changes in daily anatomy. In this dataset, serial MRIs of the abdomen of patients undergoing radiotherapy were collected and the luminal gastro-intestinal tract was segmented to support an online segmentation algorithm competition. This dataset may be further utilized by radiation oncologists, medical physicists, and data scientists to further improve auto segmentation algorithms.
View Article and Find Full Text PDFOrthop Traumatol Surg Res
December 2024
Société Française de Chirurgie Orthopédique et de Traumatologique (SOFCOT), 56, rue Boissonade, 75014 Paris, France.
Introduction: Traditionally, to determine a length on a limb radiograph after total hip arthroplasty (THA), calibration is performed manually with the diameter of a ball or the femoral head. More recently, the development of EOS with automatic calibration has called into question the usefulness of manual calibration to highlight lower limb length inequality (LLLI). However, the validation of EOS with automatic calibration without landmarks to measure length inequalities on large images has not been verified against manual measurements on calibrated radiographs (conventional method), which motivated the present work.
View Article and Find Full Text PDFJ Pathol Inform
December 2024
Section Computational Pathology Heidelberg, Institute of Pathology Heidelberg, University Hospital Heidelberg, University of Heidelberg, Heidelberg, Germany.
Introduction: Metadata extraction from digitized slides or whole slide image files is a frequent, laborious, and tedious task. In this work, we present a tool to automatically extract all relevant slide information, such as case number, year, slide number, block number, and staining from the macro-images of the scanned slide.We named the tool Babel fish as it helps translate relevant information printed on the slide.
View Article and Find Full Text PDFAdv Radiat Oncol
November 2024
Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
Purpose: Prospective trials have reported isotoxicity and improved oncologic outcomes with external beam radiation therapy (EBRT) microboost to a dominant intraprostatic lesion. There is often variability in the rate of adoption of new treatments, and current microboost practice patterns are unknown. We leveraged prospectively collected data from the multicenter Michigan Radiation Oncology Quality Consortium to understand the current state of microboost usage for localized prostate cancer.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!