Skeletal Dysplasia: Approach to Simplify Diagnosis, Looking for Radiographic Clue Signs
Hazar Tabban, Tahiya A. Salem, Khaled Y. Salem
Asian Journal of Medicine and Health · pp. 65–76 · Published 3 Dec 2022
10.9734/ajmah/2022/v20i12771Abstract
Skeletal dysplasia is a heterogeneous group of disorders affecting the growth of bones and cartilage. Diagnosis can be difficult for many reasons; they are over 400 diseases, and some are rare and might have atypical presentation when clinical manifestations and radiological findings might not match the classical picture of the specific disorder. The final diagnosis of a skeletal dysplasia is a combined workup that includes clinical examination, family history, radiological assessment (skeletal survey and other investigations), and finally the laboratory, molecular and genetic assessment. These all steps require tertiary centers, therefore, the primary clinical practice would require a tool-kit to help identify the most common skeletal dysplasia easily and identify the most important features of uncommon or rare disorders. The combined clinical assessment and radiological assessment can together reach this goal. The aim of this article is to spotlight on few important checkpoints to help the clinician and radiologist to narrow the differential diagnosis in the primary evaluation before the referral, if available, for molecular and genetic study. This article will focus on essential initial steps in diagnosis and some clue diagnostic features in the skeletal survey images that are classic for the most common disorders.
Cited by 0
No indexed citations yet.
Related research
- Maternal Age and Congenital Anomalies among Newborns in a Tertiary Health Facility in Benue State, North Central Nigeria — shares topic coverage
- Early Diagnosis of Neonatal Sepsis: A Review of the Current Methods in Clinical Practice — shares topic coverage
- Impact of Radiology on the Early Identification of Waterhouse-friderichsen Syndrome: A Case Study — shares topic coverage
- The Impact of Genexpert MTB/RIF Technology on the Minimization of Tuberculosis: A Review of Literature — shares topic coverage
- Harnessing Artificial Intelligence in Healthcare Analytics: From Diagnosis to Treatment Optimization — shares topic coverage
Article metrics
Real usage data collected on this platform.
0
Page views
0
PDF downloads
0
Outbound clicks
0
Citations
Views by country
Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".
No views recorded yet.
Traffic sources
Referring site, by host.
No traffic recorded yet.
Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.