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A Quantitative Digital Subtraction Angiography Technique for Characterizing Reduction in Hepatic Arterial Blood Flow During Transarterial Embolization.
Periyasamy, Sarvesh; Hoffman, Carson A; Longhurst, Colin; Schefelker, Georgia C; Ozkan, Orhan S; Speidel, Michael A; Laeseke, Paul F.
Afiliação
  • Periyasamy S; Department of Biomedical Engineering, University of Wisconsin - Madison, 1310-C WIMR, 1111 Highland Avenue, Madison, WI, 53705, USA. periyasamy@wisc.edu.
  • Hoffman CA; Department of Radiology, University of Wisconsin - Madison, Madison, WI, USA. periyasamy@wisc.edu.
  • Longhurst C; Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA.
  • Schefelker GC; Department of Biostatistics and Medical Informatics, University of Wisconsin - Madison, Madison, WI, USA.
  • Ozkan OS; Department of Radiology, University of Wisconsin - Madison, Madison, WI, USA.
  • Speidel MA; Department of Radiology, University of Wisconsin - Madison, Madison, WI, USA.
  • Laeseke PF; Department of Medical Physics, University of Wisconsin - Madison, Madison, WI, USA.
Cardiovasc Intervent Radiol ; 44(2): 310-317, 2021 Feb.
Article em En | MEDLINE | ID: mdl-33025244
ABSTRACT

OBJECTIVE:

There is no standardized and objective method for determining the optimal treatment endpoint (sub-stasis) during transarterial embolization. The objective of this study was to demonstrate the feasibility of using a quantitative digital subtraction angiography (qDSA) technique to characterize intra-procedural changes in hepatic arterial blood flow velocity in response to transarterial embolization in an in vivo porcine model. MATERIALS AND

METHODS:

Eight domestic swine underwent bland transarterial embolizations to partial- and sub-stasis angiographic endpoints with intraprocedural DSA acquisitions. Embolized lobes were assessed on histopathology for ischemic damage and tissue embolic particle density. Analysis of target vessels used qDSA and a commercially available color-coded DSA (ccDSA) tool to calculate blood flow velocities and time-to-peak, respectively.

RESULTS:

Blood flow velocities calculated using qDSA showed a statistically significant difference (p < 0.01) between partial- and sub-stasis endpoints, whereas time-to-peak calculated using ccDSA did not show a significant difference. During the course of embolizations, the average correlation with volume of particles delivered was larger for qDSA (- 0.86) than ccDSA (0.36). There was a statistically smaller mean squared error (p < 0.01) and larger coefficient of determination (p < 0.01) for qDSA compared to ccDSA. On pathology, the degree of embolization as calculated by qDSA had a moderate, positive correlation (p < 0.01) with the tissue embolic particle density of ischemic regions within the embolized lobe.

CONCLUSIONS:

qDSA was able to quantitatively discriminate angiographic embolization endpoints and, compared to a commercially available ccDSA method, improve intra-procedural characterization of blood flow changes. Additionally, the qDSA endpoints correlated with tissue-level changes.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Angiografia Digital / Embolização Terapêutica / Artéria Hepática Tipo de estudo: Diagnostic_studies / Evaluation_studies Limite: Animals Idioma: En Revista: Cardiovasc Intervent Radiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Angiografia Digital / Embolização Terapêutica / Artéria Hepática Tipo de estudo: Diagnostic_studies / Evaluation_studies Limite: Animals Idioma: En Revista: Cardiovasc Intervent Radiol Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos