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  1. Siemens Healthineers Costa Rica
  2. Imagenología Médica
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  4. Opciones y actualizaciones
  5. Aplicaciones de software clínico
  6. syngo DynaPBV Body
Interventional Oncology

syngo DynaPBV BodyEvaluate perfusion for personalized therapy

syngo DynaPBV Body is a software application which complements 3D anatomical imaging with volumetric physiological information directly in the interventional lab. 

The software indicates the distribution of blood in lesions and surrounding tissue by means of color-coded cross-sectional blood volume maps. Based on this blood volume information, physicians can evaluate changes in perfusion caused by treatment or biological processes. It can be used to monitor response to treatment following repeated TACE and has the potential to identify potential non-responders directly intra-procedurally. 

Características y Beneficios

syngo DynaPBV Body

Features

  • Allows for blood volume measurements 
  • Makes physiological information available directly in the angio suite
  • Provides high-resolution contrast-enhanced syngo DynaCT images for delineation of tumor-feeding vessels as well
syngo DynaPBV Body

Benefits

  • Determine the specific characteristics of each individual lesion
  • Identify potential non-responders directly intra-procedurally
  • Facilitate control of the optimal end point of your intervention

Uso Clínico

Hear what our customers are saying1

Interview with Prof. Gerd Groezinger

Precision in embolization- boosted by syngo DynaPBV. 

Precision in embolization- boosted by syngo DynaPBV. 

As a strong believer of the regular use of syngo DynaCT, Prof. Gerd Groezinger performs syngo DynaPBV scans routinely during TACE procedures. Learn how syngo DynaPBV scans serve two crucial purposes:

  • identifying tumor feeders for effective planning 
  • determining the need for immediate on-table embolization or rescheduling based on residual tumor perfusion. 

"syngo DynaPBV guidance led to a reduced number of TACE-interventions without negative impact on response or survival"2

<p>Prof. Dr. Gerd Grözinger</p>

Prof. Dr. Gerd Grözinger

Interventional Radiology University Hospital Tuebingen

syngo DynaPBV Body

Click through the clinical cases

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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.
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Documentos y estudios

Case Studies & Study Protocols

Scientific Talks and 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.

1) 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.

2) 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 (DynaPBV n = 28 vs. DSA n = 28) in a retrospective single center study.