Digital repository of Slovenian research organisations

Show document
A+ | A- | Help | SLO | ENG

Title:Dynamic contrast-enhanced MRI of malignant pleural mesothelioma : a comparative study of pharmacokinetic models and correlation with mRECIST criteria
Authors:ID Vivoda Tomšič, Martina, Klinika Golnik, Zdravstvena fakulteta UL (Author)
ID Bisdas, Sotirios (Author)
ID Kovač, Viljem (Author)
ID Serša, Igor (Author)
ID Šurlan Popović, Katarina (Author)
Files:.pdf PDF - Presentation file, download (3,44 MB)
MD5: 41B4E44FD68C3B54D40C4E419AE7E246
 
URL URL - Source URL, visit https://cancerimagingjournal.biomedcentral.com/articles/10.1186/s40644-019-0189-5
 
Language:English
Typology:1.01 - Original Scientific Article
Organization:Logo UKPBAG - University Clinic of Respiratory and Allergic Diseases Golnik
Abstract:BACKGROUND: Malignant pleural mesothelioma (MPM) is a rare and aggressive thoracic malignancy that is difficult to cure. Dynamic contrast-enhanced (DCE) MRI is a functional imaging technique used to analyze tumor microvascular properties and to monitor therapy response. Purpose of this study was to compare two tracer kinetic models, the extended Tofts (ET) and the adiabatic approximation tissue homogeneity model (AATH) for analysis of DCE-MRI and examine the value of the DCE parameters to predict response to chemotherapy in patients with MPM. METHOD: This prospective, longitudinal, single tertiary radiology center study was conducted between October 2013 and July 2015. Patient underwent DCE-MRI studies at three time points: prior to therapy, during and after cisplatin-based chemotherapy. The images were analyzed using ET and AATH models. In short-term follow-up, the patients were classified as having disease control or progressive disease according to modified response evaluation criteria in solid tumors (mRECIST) criteria. Receiver operating characteristic curve analysis was used to examine specificity and sensitivity of DCE parameters for predicting response to therapy. Comparison tests were used to analyze whether derived parameters are interchangeable between the two models. RESULTS: Nineteen patients form the study population. The results indicate that the derived parameters are not interchangeable between the models. Significant correlation with response to therapy was found for AATH-calculated median pre-treatment efflux rate (kep) showing sensitivity of 83% and specificity of 100% (AUC 0.9). ET-calculated maximal pre-treatment kep showed 100% sensitivity and specificity for predicting treatment response during the early phase of the therapy and reached a favorable trend to significant prognostic value post-therapy. CONCLUSION: Both models show potential in predicting response to therapy in MPM. High pre-treatment kep values suggest MPM disease control post-chemotherapy.
Keywords:biomarker, magnetic resonance imaging, mesothelioma, perfusion, response evaluation criteria in solid tumors, prognosis
Publication status:Published
Publication version:Version of Record
Place of publishing:Velika Britanija
Publisher:Springer Nature
Year of publishing:2019
Number of pages:str. [1-11]
Numbering:Vol. 19, no. 10
PID:20.500.12556/DiRROS-12433 New window
UDC:616-07
ISSN on article:1470-7330
DOI:10.1186/s40644-019-0189-5 New window
COBISS.SI-ID:3175035 New window
Copyright:© The Author(s). 2019
Note:Nasl. z nasl. zaslona; Opis vira z dne 8. 3. 2019;
Publication date in DiRROS:23.09.2020
Views:1639
Downloads:1195
Metadata:XML DC-XML DC-RDF
:
Copy citation
  
Share:Bookmark and Share


Hover the mouse pointer over a document title to show the abstract or click on the title to get all document metadata.

Record is a part of a journal

Title:Cancer imaging
Publisher:e-MED
ISSN:1470-7330
COBISS.SI-ID:523568409 New window

Licences

License:CC BY 4.0, Creative Commons Attribution 4.0 International
Link:http://creativecommons.org/licenses/by/4.0/
Description:This is the standard Creative Commons license that gives others maximum freedom to do what they want with the work as long as they credit the author.
Licensing start date:16.01.2019

Back