Medizinische Universität Graz Austria/Österreich - Forschungsportal - Medical University of Graz
Gewählte Publikation:
SHR Neuro Krebs Kardio Lipid Stoffw Microb
Vehabovic-Delic, A; Balic, M; Rossmann, C; Bauernhofer, T; Deutschmann, HA; Schoellnast, H.
Volume Computed Tomography Perfusion Imaging: Evaluation of the Significance in Oncologic Follow-up of Metastasizing Renal Cell Carcinoma in the Early Period of Targeted Therapy - Preliminary Results.
J Comput Assist Tomogr. 2019; 43(3):493-498
Doi: 10.1097/RCT.0000000000000848
Web of Science
PubMed
FullText
FullText_MUG
- Führende Autor*innen der Med Uni Graz
- Balic Marija
- Schoellnast Helmut
- Co-Autor*innen der Med Uni Graz
- Bauernhofer Thomas
- Deutschmann Hannes
- Roßmann Christopher Herbert
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- Abstract:
- The aim of this study was to assess the significance of volume computed tomography perfusion imaging of metastasizing renal cell carcinoma (mRCC) in the early period after the initiation of targeted therapy. Blood flow (BF), blood volume, and clearance (CL) were calculated in 10 patients with histologically verified mRCC before and 1 month after initiation of targeted therapy using compartmental analysis algorithms. In addition, the longest diameter of tumor was measured for both time points and compared. Correlation test was performed between perfusion parameters and size changes with time to progression (TTP). Blood flow and CL were significantly lower after therapy initiation, whereas blood volume and the long diameter remained unchanged. Median values before and after 4 weeks of therapy were 144.2 versus 99.4 mL/min/100 mL for BF (P = 0.009) and 115.5 versus 46.8 mL/min/100 mL for CL (P = 0.007). Changes in BF and CL showed very strong negative correlation with TTP (r = -0.838, P = 0.009 and r = -0.826, P = 0.011, respectively). Our preliminary study results indicate that volume computed tomography perfusion may assess targeted therapy response of mRCC earlier than the currently used Response Evaluation Criteria in Solid Tumors. In addition, changes in BF and CL may be a promising parameter for prediction of TTP.
- Find related publications in this database (using NLM MeSH Indexing)
- Adult -
- Aged -
- Algorithms -
- Antineoplastic Agents - therapeutic use
- Carcinoma, Renal Cell - blood supply
- Carcinoma, Renal Cell - drug therapy
- Cone-Beam Computed Tomography - methods
- Female -
- Humans -
- Kidney Neoplasms - blood supply
- Kidney Neoplasms - diagnostic imaging
- Kidney Neoplasms - drug therapy
- Male -
- Middle Aged -
- Molecular Targeted Therapy - methods
- Neoplasm Metastasis - diagnostic imaging
- Perfusion Imaging - methods
- Prospective Studies -
- Treatment Outcome -
- Find related publications in this database (Keywords)
- volume computed tomography perfusion
- tumor angiogenesis
- response to treatment