A Quantitative Digital Subtraction Angiography Technique for Characterizing Reduction in Hepatic Arterial Blood Flow During Transarterial Embolization

Cardiovasc Intervent Radiol. 2021 Feb;44(2):310-317. doi: 10.1007/s00270-020-02640-0. Epub 2020 Oct 6.

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.

Keywords: 2D digital subtraction angiography (DSA); Color-coded digital subtraction angiography (ccDSA); Hepatocellular carcinoma (HCC); Quantitative digital subtraction angiography (qDSA); Time-to-peak (TTP); Time–attenuation curve (TAC); Transarterial chemoembolization (TACE); Transarterial embolization (TAE).

Publication types

  • Evaluation Study

MeSH terms

  • Angiography, Digital Subtraction / methods*
  • Animals
  • Blood Flow Velocity / physiology
  • Embolization, Therapeutic / methods*
  • Evaluation Studies as Topic
  • Feasibility Studies
  • Hepatic Artery / diagnostic imaging*
  • Hepatic Artery / physiopathology*
  • Swine