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Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review

Gastrointestinal stromal tumors (GISTs) are rare mesenchymal neoplasms. Tyrosine kinase inhibitor (TKI) therapy is currently part of routine clinical practice for unresectable and metastatic disease. It is important to assess the efficacy of TKI treatment at an early stage to optimize therapy strate...

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Autores principales: Weeda, Ylva. A., Kalisvaart, Gijsbert M., van Velden, Floris H. P., Gelderblom, Hans, van der Molen, Aart. J., Bovee, Judith V. M. G., van der Hage, Jos A., Grootjans, Willem, de Geus-Oei, Lioe-Fee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689665/
https://www.ncbi.nlm.nih.gov/pubmed/36359564
http://dx.doi.org/10.3390/diagnostics12112722
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author Weeda, Ylva. A.
Kalisvaart, Gijsbert M.
van Velden, Floris H. P.
Gelderblom, Hans
van der Molen, Aart. J.
Bovee, Judith V. M. G.
van der Hage, Jos A.
Grootjans, Willem
de Geus-Oei, Lioe-Fee
author_facet Weeda, Ylva. A.
Kalisvaart, Gijsbert M.
van Velden, Floris H. P.
Gelderblom, Hans
van der Molen, Aart. J.
Bovee, Judith V. M. G.
van der Hage, Jos A.
Grootjans, Willem
de Geus-Oei, Lioe-Fee
author_sort Weeda, Ylva. A.
collection PubMed
description Gastrointestinal stromal tumors (GISTs) are rare mesenchymal neoplasms. Tyrosine kinase inhibitor (TKI) therapy is currently part of routine clinical practice for unresectable and metastatic disease. It is important to assess the efficacy of TKI treatment at an early stage to optimize therapy strategies and eliminate futile ineffective treatment, side effects and unnecessary costs. This systematic review provides an overview of the imaging features obtained from contrast-enhanced (CE)-CT and 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) PET/CT to predict and monitor TKI treatment response in GIST patients. PubMed, Web of Science, the Cochrane Library and Embase were systematically screened. Articles were considered eligible if quantitative outcome measures (area under the curve (AUC), correlations, sensitivity, specificity, accuracy) were used to evaluate the efficacy of imaging features for predicting and monitoring treatment response to various TKI treatments. The methodological quality of all articles was assessed using the Quality Assessment of Diagnostic Accuracy Studies, v2 (QUADAS-2) tool and modified versions of the Radiomics Quality Score (RQS). A total of 90 articles were included, of which 66 articles used baseline [(18)F]FDG-PET and CE-CT imaging features for response prediction. Generally, the presence of heterogeneous enhancement on baseline CE-CT imaging was considered predictive for high-risk GISTs, related to underlying neovascularization and necrosis of the tumor. The remaining articles discussed therapy monitoring. Clinically established imaging features, including changes in tumor size and density, were considered unfavorable monitoring criteria, leading to under- and overestimation of response. Furthermore, changes in glucose metabolism, as reflected by [(18)F]FDG-PET imaging features, preceded changes in tumor size and were more strongly correlated with tumor response. Although CE-CT and [(18)F]FDG-PET can aid in the prediction and monitoring in GIST patients, further research on cost-effectiveness is recommended.
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spelling pubmed-96896652022-11-25 Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review Weeda, Ylva. A. Kalisvaart, Gijsbert M. van Velden, Floris H. P. Gelderblom, Hans van der Molen, Aart. J. Bovee, Judith V. M. G. van der Hage, Jos A. Grootjans, Willem de Geus-Oei, Lioe-Fee Diagnostics (Basel) Systematic Review Gastrointestinal stromal tumors (GISTs) are rare mesenchymal neoplasms. Tyrosine kinase inhibitor (TKI) therapy is currently part of routine clinical practice for unresectable and metastatic disease. It is important to assess the efficacy of TKI treatment at an early stage to optimize therapy strategies and eliminate futile ineffective treatment, side effects and unnecessary costs. This systematic review provides an overview of the imaging features obtained from contrast-enhanced (CE)-CT and 2-deoxy-2-[(18)F]fluoro-D-glucose ([(18)F]FDG) PET/CT to predict and monitor TKI treatment response in GIST patients. PubMed, Web of Science, the Cochrane Library and Embase were systematically screened. Articles were considered eligible if quantitative outcome measures (area under the curve (AUC), correlations, sensitivity, specificity, accuracy) were used to evaluate the efficacy of imaging features for predicting and monitoring treatment response to various TKI treatments. The methodological quality of all articles was assessed using the Quality Assessment of Diagnostic Accuracy Studies, v2 (QUADAS-2) tool and modified versions of the Radiomics Quality Score (RQS). A total of 90 articles were included, of which 66 articles used baseline [(18)F]FDG-PET and CE-CT imaging features for response prediction. Generally, the presence of heterogeneous enhancement on baseline CE-CT imaging was considered predictive for high-risk GISTs, related to underlying neovascularization and necrosis of the tumor. The remaining articles discussed therapy monitoring. Clinically established imaging features, including changes in tumor size and density, were considered unfavorable monitoring criteria, leading to under- and overestimation of response. Furthermore, changes in glucose metabolism, as reflected by [(18)F]FDG-PET imaging features, preceded changes in tumor size and were more strongly correlated with tumor response. Although CE-CT and [(18)F]FDG-PET can aid in the prediction and monitoring in GIST patients, further research on cost-effectiveness is recommended. MDPI 2022-11-07 /pmc/articles/PMC9689665/ /pubmed/36359564 http://dx.doi.org/10.3390/diagnostics12112722 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Systematic Review
Weeda, Ylva. A.
Kalisvaart, Gijsbert M.
van Velden, Floris H. P.
Gelderblom, Hans
van der Molen, Aart. J.
Bovee, Judith V. M. G.
van der Hage, Jos A.
Grootjans, Willem
de Geus-Oei, Lioe-Fee
Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review
title Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review
title_full Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review
title_fullStr Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review
title_full_unstemmed Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review
title_short Early Prediction and Monitoring of Treatment Response in Gastrointestinal Stromal Tumors by Means of Imaging: A Systematic Review
title_sort early prediction and monitoring of treatment response in gastrointestinal stromal tumors by means of imaging: a systematic review
topic Systematic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9689665/
https://www.ncbi.nlm.nih.gov/pubmed/36359564
http://dx.doi.org/10.3390/diagnostics12112722
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