Tracing the disc: The novel qualitative morphometric MRI based disc degeneration classification system.

Background: This study aimed to develop a classification system for lumbar disc degeneration using routine magnetic resonance images (MRIs) that is easily applicable and unaffected by existing classifications' limitations, and to compare its reliability, reproducibility, and discriminative power to the widely used Pfirrmann classification.

Methods: Five features were graded. This new classification system has eight grades, with at least one of these five features altering each grade.

Revealing the Effect of Spinopelvic Alignment on Hip Disorders.

Background: Hip osteoarthritis (HOA) is a growing burden and one of the leading causes of hip pain. The relationship between the HOA and the alignment of the spinopelvic region has been intensively studied, however the issue remains controversial. Spinopelvic imbalance, HOA, and dysplasia were investigated in relation to sagittal spinopelvic parameters in this study.

An Automatized Deep Segmentation and Classification Model for Lumbar Disk Degeneration and Clarification of Its Impact on Clinical Decisions.

Study Design: Cross-sectional database study.

Objective: The purpose of this study was to develop a successful, reproducible, and reliable convolutional neural network (CNN) model capable of segmentation and classification for grading intervertebral disc degeneration (IVDD), as well as quantify the network's impact on doctors' clinical decision-making.

Methods: 5685 discs from 1137 patients were graded separately by four experienced doctors according to the Pfirrmann classification.

An AI based classifier model for lateral pillar classification of Legg-Calve-Perthes.

We intended to compare the doctors with a convolutional neural network (CNN) that we had trained using our own unique method for the Lateral Pillar Classification (LPC) of Legg-Calve-Perthes Disease (LCPD). Thousands of training data sets are frequently required for artificial intelligence (AI) applications in medicine. Since we did not have enough real patient radiographs to train a CNN, we devised a novel method to obtain them.

The Impact of Spinopelvic Alignment on the Facet Joint Degeneration.

Study Design: Retrospective Cohort.

Objectives: This study aims to evaluate the relations between facet joint degeneration (FD) and sagittal spinopelvic parameters. Second, the association of FD with degenerative disc disease (DDD) and lumbar disc herniations (LDH) was assessed.

Performance of modified anatomic plates is comparable to proximal femoral nail, dynamic hip screw and anatomic plates: finite element and biomechanical testing.

Aim: To establish whether the modified anatomic plate (MAP) performs as well as the anatomic plate (AP), dynamic hip screw (DHS) and proximal femoral nail (PFN) from a biomechanical perspective.

Materials And Methods: The, AP, MAP, DHS and PFN were assessed using finite element (FE) methods and biomechanical tests. A solid model was created based on the fracture lines and results were assessed using analyses of variance.

Assessment of quality of life in children after successful treatment of hip dysplasia as compared with normal controls.

Objective: To document the quality of life of children who have been treated for developmental dysplasia of the hip (DDH) within the first 3 years of life successfully after a minimum follow-up period of 2 years, and compare their results with healthy age-matched children.

Methods: Thirty patients with DDH treated between 1998 and 2002 in Ankara Numune Education and Research Hospital, Ankara, Turkey and 19 age-matched healthy controls were included in this study with the approval of the ethical committee. The mean follow up period was 56.