Object: Various cutaneous stigmata and congenital anomalies are accepted as sufficient reasons to perform lumbar ultrasonography as a screening tool to rule out occult spinal dysraphism (OSD). The purpose of this study was to correlate presenting cutaneous findings with lumbar ultrasonography results based on a large number of lumbar ultrasonography tests obtained by regional primary care providers.
Methods: Over the course of 5 years, 1273 infants underwent lumbar ultrasonography screening at a major pediatric tertiary referral center. Of these infants, 1116 had adequate documentation for retrospective chart review. Referral sources included urban academic, urban private practice, and surrounding rural private practitioners. Presence of cutaneous stigmata and/or congenital anomalies and lumbar ultrasonography results were reviewed for all patients. When present, surgical findings were reviewed.
Results: A total of 943 infants were referred for presumed cutaneous stigmata, the most common of which was a sacral dimple (638 patients [68%]) followed by hairy patch (96 patients [10%]). Other reported cutaneous findings included hemangioma, deviated gluteal fold, skin tag, and skin discoloration. In comparison, 173 patients presented with congenital anomalies, such as imperforate anus (56 patients [32%]) and tracheoesophageal fistula/esophageal atresia (37 patients [21%]), most of which were detected prenatally by fetal ultrasonography. A total of 17 infants underwent surgical exploration. Occult spinal dysraphism was diagnosed in 7 infants in the cutaneous stigmata group and in 10 infants in the group with congenital abnormalities. None of the cutaneous stigmata as recorded were found to be indicative of the presence of OSD.
Conclusions: Cutaneous markers as currently defined by general practitioners are not useful markers for predicting OSD. The vast majority of findings on lumbar ultrasonography studies performed under these circumstances will be negative.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.3171/2011.12.PEDS11351 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Differences in Body Composition, Bone Density, and Tibial Microarchitecture in Division I Female Athletes Participating in Different Impact Loading Sports.
Calcif Tissue Int
January 2025
University of Pittsburgh, 3860 S. Water St., Pittsburgh, PA, 15203, USA.
Sport participation affects body composition and bone health, but the association between sport, body composition, and bone health in female athletes is complex. We compared areal bone mineral density (aBMD, DXA) and tibial volumetric bone mineral density (vBMD), geometry, microarchitecture, and estimated strength (HR-pQCT) in cross-country runners (n = 22), gymnasts (n = 23) and lacrosse players (n = 35), and investigated associations of total body lean mass (TBLM), team, and their interaction with tibial bone outcomes. Total body (TB), total hip (TH), femoral neck (FN), and lumbar spine (LS) aBMD were higher in gymnasts than runners (p < 0.
View Article and Find Full Text PDFFeasibility of generating sagittal radiographs from coronal views using GAN-based deep learning framework in adolescent idiopathic scoliosis.
Eur Radiol Exp
January 2025
IRCCS Istituto Ortopedico Galeazzi, Milan, Italy.
Background: Minimizing radiation exposure is crucial in monitoring adolescent idiopathic scoliosis (AIS). Generative adversarial networks (GANs) have emerged as valuable tools being able to generate high-quality synthetic images. This study explores the use of GANs to generate synthetic sagittal radiographs from coronal views in AIS patients.
View Article and Find Full Text PDFDeep Learning for Lumbar Disc Herniation Diagnosis and Treatment Decision Making Using MRI Images: A Retrospective Study.
World Neurosurg
January 2025
Department of Spine Surgery, The Affiliated Taizhou People's Hospital of Nanjing Medical University.
Background: Lumbar disc herniation (LDH) is a common cause of back and leg pain. Diagnosis relies on clinical history, physical exam, and imaging, with magnetic resonance imaging (MRI) being an important reference standard. While artificial intelligence (AI) has been explored for MRI image recognition in LDH, existing methods often focus solely on disc herniation presence.
View Article and Find Full Text PDFLumbar intervertebral disc calcification with massive herniation: a case report.
J Int Med Res
January 2025
Department of Orthopaedics, Sir Run Run Shaw Hospital, Zhejiang University School of Medicine; Key Laboratory of Musculoskeletal System Degeneration and Regeneration Translational Research of Zhejiang Province, Hangzhou, China.
An 18-year-old female patient presented with a 1-month history of low back pain, which had worsened and was accompanied by radiating pain in the right lower limb for half a month. She was admitted to our hospital with computed tomography and magnetic resonance imaging findings suggesting calcification of the L3/4 disc and a large intraspinal mass at the L2-4 level. The patient's symptoms did not improve with conservative treatment, and her muscle strength rapidly declined.
View Article and Find Full Text PDFThe Clinical Value of the MAR+ Metal Artifact Reduction Algorithm for Postoperative Assessment of Lumbar Internal Fixation.
J Comput Assist Tomogr
January 2025
Department of Radiology, the Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University.
Background: With the widespread use of lumbar pedicle screws for internal fixation, the morphology of the screws and the surrounding tissues should be evaluated. The metal artifact reduction (MAR) technique can reduce the artifacts caused by pedicle screws, improve the quality of computed tomography (CT) images after pedicle fixation, and provide more imaging information to the clinic.
Purpose: To explore whether the MAR+ method, a projection-based algorithm for correcting metal artifacts through multiple iterative operations, can reduce metal artifacts and have an impact on the structure of the surrounding metal.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!