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  1. Siemens Healthineers Nederland
  2. Medical Imaging
  3. Angiography
  4. Clinical Software Applications
  5. syngo DynaPBV

syngo DynaPBV Body & NeuroEvaluate perfusion for personalized therapy

Our syngo DynaPBV (Parenchymal Blood Volume) software applications available for body and neuro interventions complements 3D anatomical imaging with volumetric physiological information directly in the interventional lab. It visualizes the contrast-enhanced blood volume distribution in lesions and surrounding tissue by means of color-coded cross-sectional blood volume maps. Based on this information, physicians can evaluate changes in perfusion caused by treatment or biological processes.

Clinical Image Gallery

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syngo DynaPBV Body06
syngo DynaPBV Neuro
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Clinical image showing blood volume characteristics of an early-stage liver tumor, acquired with the angiography suite ARTIS icono floor

Courtesy: Prof. Gerd Groezinger, Interventional Radiology, University Hospital Tuebingen, Germany

syngo DynaPBV Body blood volume map only

Clinical image showing blood volume characteristics of an early-stage liver tumor, acquired with the angiography suite ARTIS icono floor
syngo DynaPBV Body
syngo DynaPBV Body
syngo DynaPBV Body
High-resolution contrast-enhanced syngo DynaCT images provided by syngo DynaPBV Body.
High-resolution contrast-enhanced syngo DynaCT images provided by syngo DynaPBV Body.
syngo DynaPBV Neuro
syngo DynaPBV Neuro
syngo DynaPBV Neuro - Stroke Management
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Features & Benefits

syngo DynaPBV Body

  • Monitor response to treatment following repeated TACE.
  • Potential to identify potential non-responders directly during the procedure.
  • Provide high-resolution contrast-enhanced syngo DynaCT images for delineation of tumor-feeding vessels.
  • Determine specific characteristics of each individual lesion.
  • Facilitate control of the optimal end point of your intervention.

syngo DynaPBV Neuro

  • Visualize the parenchymal blood volume for the entire brain.
  • Obtain functional and anatomical imaging with one phase.
  • Monitor parenchymal blood volume during e.g. endovascular stroke treatment without transferring the patient to another modality.

Clinical Experiences 1

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Prof. Gerd Groezinger routinely performs syngo DynaPBV during TACE procedures. He is seeing a reduced number of TACE-interventions with negative impact on response or survival.2 In this interview he talks about two crucial purposes of this application.

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Papers & Studies

Case Studies & Study Protocols

Scientific Publications

Link

Title

Authors

Usefulness of Cone-Beam CT-Based Liver Perfusion Mapping for Evaluating the Response of Hepatocellular Carcinoma to Conventional Transarterial Chemoembolization.
J Clin Med. 2021 Feb 11;10(4):713.

Choi SY, Kim KA, Choi W, Kwon Y, Cho SB.

Intraprocedural cone-beam CT with parenchymal blood volume assessment for transarterial chemoembolization guidance: Impact on the effectiveness of the individual TACE sessions compared to DSA guidance alone.
Eur J Radiol. 2021 Jul;140:109768.

Peisen F, Maurer M, Grosse U, Nikolaou K, Syha R, Artzner C, Bitzer M, Horger M, Grözinger G. 

Transarterial Chemoembolization of Hepatocellular Carcinoma Using Radiopaque Drug-Eluting Embolics: How to Pursue Periprocedural Cross-Sectional Imaging?

Ruff C, Grözinger G, Syha R, Elser S, Partovi S, Bitzer M, Horger M, Nikolaou K, Grosse U.

Correlation of C-arm CT acquired parenchymal blood volume (PBV) with 99mTc-macroaggregated albumin (MAA) SPECT/CT for radioembolization work-up.
PLoS One. 2020 Dec 30;15(12):e0244235.

Weissinger M, Vogel J, Kupferschläger J, Dittmann H, Castaneda Vega SG, Grosse U, Artzner C, Nikolaou K, la Fougere C, Grözinger G.

Intraprocedural Parenchymal Blood Volume Is a Predictor of Treatment Response for Chemoembolization in Hepatocellular Carcinoma: Results of a Prospective Study.
J Vasc Interv Radiol. 2018 Jul;29(7):928-935.

de Korompay N, Alshammari M, Klass D, Chou FY, Chung J, Ho S, Liu DM.

Image quality of arterial phase and parenchymal blood volume (PBV) maps derived from C-arm computed tomography in the evaluation of transarterial chemoembolization.
Cancer Imaging. 2018 May 2;18(1):16.
doi: 10.1186/s40644-018-0151-y. PMID: 29720249; PMCID: PMC5932894.

Zitzelsberger T, Syha R, Grözinger G, Partovi S, Nikolaou K, Grosse U.

Intraprocedural 3D perfusion measurement during chemoembolisation with doxorubicin-eluting beads in liver metastases of malignant melanoma.
Eur Radiol. 2018 Apr;28(4):1456-1464.
doi: 10.1007/s00330-017-5099-y. Epub 2017 Nov 9. PMID: 29124381.

Pereira PL, Krüger K, Hohenstein E, Welke F, Sommer C, Meier F, Eigentler T, Garbe C.

Quantitative assessmant of gastric perfusion following bariatric arterial embolization in porcine model.
J.VIR 2016 27:3 SUPPL. 1 (S8-S9) doi: 10.1016/j.ejrad.2016.06.005. Epub 2016 Jun 7. PMID: 27501884.

Genyk P, Ehtiati T, Paudel K, Krimins R, Akinwade O, Arepally A, Kraitchman D, Weiss C.

Assessment of the parenchymal blood volume by C-arm computed tomography for radioembolization dosimetry.
Eur J Radiol. 2016 Sep;85(9):1525-31.

Grözinger G, Kupferschläger J, Dittmann H, Maurer M, Grosse U, la Fougère C, Nikolaou K, Syha R, Ketelsen D.

Quantitative liver tumor blood volume measurements by a C-arm CT post-processing software before and after hepatic arterial embolization therapy: comparison with MDCT perfusion. Diagn Interv Radiol. 2015 Jan-Feb;21(1):71-7.doi: 10.5152/dir.2014.13290. PMID: 25538037; PMCID: PMC4463359.

Peynircioğlu B, Hızal M, Çil B, Deuerling-Zheng Y, Von Roden M, Hazırolan T, Akata D, Özmen M, Balkancı F.

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The statements by Siemens Healthineers' customers described herein are based on results that were achieved in the customer's unique setting. Since there is no "typical" hospital and many variables exist (e.g., hospital size, case mix, level of IT adoption) there can be no guarantee that other customers will achieve the same results.
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Source: Peisen F, Maurer M, Grosse U, et al. Eur J Radiol. 2021;140:109768. The analysis of the influence of intraprocedural DynaPBV was based on matched pair analysis (syngo DynaPBV n = 28 vs. DSA n = 28) in a retrospective single center study.