Systemic sclerosis & Raynaud's
Shear wave elastography-derived scoring system: application in the detection, subdivision and evaluation of systemic sclerosis
Authors' conclusion
The SWE-derived scoring system can be valuable in detection and evaluation of SSc in clinical application.
Study context
- Population
- Patients with limited cutaneous SSc (lcSSc) or diffuse cutaneous SSc (dcSSc) and patients with symptomatic other rheumatic diseases
- Participants
- 49 / 51 / 36
- Exposure
- Shear wave elastography (SWE)-derived scoring system vs clinical diagnosis of systemic sclerosis (SSc) and its subsets
- lcSScn = 49
- dcSScn = 51
- Other rheumatic diseases (ORD)n = 36reference
- Outcome
- Accuracy of the SWE-derived scoring system for detection of SSc and subdivision of lcSSc and dcSSc; correlation with mRTSS
Methodological detailsdiagnostic accuracy, logistic regression for site selection
- Diagnostic accuracy
- Logistic regression for site selection
Main finding
As reported in the abstract
Diagnosis of SSc (SWE-derived scoring system including finger, hand, foot, arm, chest and abdomen), cut-off >24
| Group | Sensitivity | Specificity |
|---|---|---|
| SWE-derived scoring system | 80.0% | 94.4% |
SWE-derived scoring system
Sensitivity80.0%
Specificity94.4%
Observational data: associations, not effects.
Further findings
| Outcome | Values |
|---|---|
| Subdivision of dcSSc (scoring system including arm, chest and abdomen), cut-off >11 | The scoring system sensitivity 72.5% · specificity 98.0% |
- Subdivision of dcSSc (scoring system including arm, chest and abdomen), cut-off >11: cut-off value >11
Agreement between SWE-derived diagnosis and clinical diagnosis
- Kappa coefficient
- 0.636 (P<0.001)
Correlation of SWE-derived total scores of six sites with modified Rodnan total skin score (mRTSS)
- R
- 0.757 (p<0.001)
Original publication
Shear wave elastography-derived scoring system: application in the detection, subdivision and evaluation of systemic sclerosis. Clin Exp Rheumatol. Published 1 December 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →