Stratification of Microvascular Disease Severity in the Foot Using Spatial Frequency Domain Imaging
Authors' conclusion
Standard assessment of PAD using ABI and TBI are inadequate for detecting MVD in at-risk populations. SFDI-defined HbT1 and StO2 are promising tools for evaluating MVD. Prospective studies with wound-based outcomes would be useful to further evaluate the role MVD assessment could play in routine clinical evaluation of patients at risk for lower extremity complications.
Study context
- Population
- Patients seen clinically for possible lower extremity PAD; Microvascular disease (MVD) status by clinical diagnoses: no diabetes; diabetes; diabetes + neuropathy; diabetes + neuropathy + retinopathy299 limbs
- Participants
- 153 participants
- Comparison
- Spatial frequency domain imaging (SFDI)-derived HbT1 and StO2 vs ankle brachial index (ABI) and toe brachial index (TBI) for MVD severity
- Outcome
- Differentiation of MVD severity
Performance
As reported in the abstract
| Test or model | AUC (severe MVD vs diabetes only) |
|---|---|
| SFDI | 0.844 |
SFDI
AUC (severe MVD vs diabetes only)0.844
- HbT1 and StO2 significantly different across MVD groups
- P < 0.001
- Logistic model (HbT1, StO2) differentiated severe MVD (diabetes+neuropathy+retinopathy) from diabetes only
- P = 0.001
Original publication
Stratification of Microvascular Disease Severity in the Foot Using Spatial Frequency Domain Imaging. J Diabetes Sci Technol. Published 5 July 2021. doi:10.
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