The Efficacy of Cone-Beam CT-Based Perfusion Mapping in Evaluation of Tissue Perfusion in Peripheral Arterial Diseaseopen access
- Authors
- Kim, Ran; Choi, Sun Young; Kim, Yeo Ju
- Issue Date
- Mar-2021
- Publisher
- MDPI
- Keywords
- peripheral arterial disease; critical limb ischemia; percutaneous transluminal angioplasty; parenchymal blood volume; cone-beam CT-based perfusion mapping
- Citation
- JOURNAL OF CLINICAL MEDICINE, v.10, no.5, pp.1 - 12
- Indexed
- SCIE
SCOPUS
- Journal Title
- JOURNAL OF CLINICAL MEDICINE
- Volume
- 10
- Number
- 5
- Start Page
- 1
- End Page
- 12
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/142196
- DOI
- 10.3390/jcm10050947
- ISSN
- 2077-0383
- Abstract
- This study investigated the use of cone-beam computed tomography (CBCT)-based perfusion mapping during percutaneous transluminal angioplasty (PTA) to predict clinical outcome in the peripheral arterial disease (PAD). From January 2016 to March 2020, 43 patients (28 male, 15 female; mean age, 69) with 51 limbs, who underwent PTA with CBCT-based foot perfusion mapping for PAD were included. Parenchymal blood volume (PBV) of foot was measured. Clinical response was investigated based on medical records. Predictive value for clinical success was evaluated using multiple logistic regression with C-statistics. Two reviewers visually assessed the improvement on angiography and CBCT-based foot perfusion mapping; inter-observer agreement of clinical success between the two were measured. Technical and clinical success rate of PTA was 90.8% and 68.6%, respectively. In multiple logistic regression, the maximum value of PBV (PBVmax) on perfusion mapping after PTA was significant (p = 0.03) for evaluating clinical success with the highest C-statistic (0.84). Using a cutoff of 235.7 mL/L for PBVmax after PTA, area under curve for prediction of clinical success was 0.664, and sensitivity and specificity were 71.4% and 68.8%, respectively. Consistency in prediction of clinical success between the two reviewers was almost perfect for CBCT-based foot perfusion mapping.
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