Literature DB >> 25526682

Response assessment to neoadjuvant therapy in soft tissue sarcomas: using CT texture analysis in comparison to tumor size, density, and perfusion.

Fang Tian1, Koichi Hayano, Avinash R Kambadakone, Dushyant V Sahani.   

Abstract

PURPOSE: To evaluate the role of computed tomography (CT) texture analysis in assessing response of soft tissue sarcoma (STS) treated with neoadjuvant bevacizumab (BVZ) plus radiotherapy in comparison to tumor size, density, and perfusion.
METHODS: In the phase II clinical trial, 20 patients with STSs received BVZ alone for 2 weeks followed by BVZ plus radiotherapy for 6 weeks prior to surgery. All patients received CT perfusion at baseline, 2 and 8 weeks after the therapy, and tumor blood flow (BF) was measured. In contrast enhanced CT image at the arterial peak enhancement time, mean of positive pixels (MPP) was measured as a texture parameter using texture analysis software, and tumor size and density were also measured. The percent changes of these parameters were compared with pathological response on surgical specimen.
RESULTS: After 2 weeks of the therapy, MPP and BF decreased by 10.42% and 20.08%, while changes of tumor size and density were not obvious. After 8 weeks, MPP, BF, and density decreased by 29.2% (p = 0.03), 53.2% (p = 0.001), and 30.41% (p = 0.005), respectively, without a significant change in size. The percent change of MPP after 8 weeks had a significant correlation with tumor necrosis in surgical specimen (r = -0.801, p < 0.001), whereas those of size, density, and BF did not. The receiver-operating characteristic analysis demonstrated that the percent change of MPP < -35.36% was an optimal cut-off value to differentiate pathological responders.
CONCLUSION: The change of MPP is the best biomarker for the treatment response in STS.

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Year:  2015        PMID: 25526682     DOI: 10.1007/s00261-014-0318-3

Source DB:  PubMed          Journal:  Abdom Imaging        ISSN: 0942-8925


  14 in total

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2.  CT texture analysis of pancreatic cancer.

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Review 3.  Molecular Predictors of Radiotherapy Response in Sarcoma.

Authors:  Carlos H F Chan; Philip Wong
Journal:  Curr Treat Options Oncol       Date:  2016-01

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5.  The role of CT texture analysis in predicting the clinical outcomes of acute ischemic stroke patients undergoing mechanical thrombectomy.

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Review 6.  Preoperative Radiation for Soft Tissue Sarcomas: How Much Is Needed?

Authors:  Safia K Ahmed; Ivy A Petersen
Journal:  Curr Treat Options Oncol       Date:  2022-02-15

7.  Metastatic melanoma: pretreatment contrast-enhanced CT texture parameters as predictive biomarkers of survival in patients treated with pembrolizumab.

Authors:  Carole Durot; Sébastien Mulé; Philippe Soyer; Aude Marchal; Florent Grange; Christine Hoeffel
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8.  Clot-based radiomics features predict first pass effect in acute ischemic stroke.

Authors:  Orkun Sarioglu; Fatma C Sarioglu; Ahmet E Capar; Demet Fb Sokmez; Berna D Mete; Umit Belet
Journal:  Interv Neuroradiol       Date:  2021-05-18       Impact factor: 1.764

9.  CT-morphologic and CT-textural patterns of response in inoperable soft tissue sarcomas treated with pazopanib-a preliminary retrospective cohort study.

Authors:  Michael Esser; Cristopher Kloth; Wolfgang M Thaiss; Christian P Reinert; Mareen S Kraus; Gabriel Cc Gast; Marius Horger
Journal:  Br J Radiol       Date:  2019-09-19       Impact factor: 3.039

10.  CT and MRI radiomics of bone and soft-tissue sarcomas: a systematic review of reproducibility and validation strategies.

Authors:  Salvatore Gitto; Renato Cuocolo; Domenico Albano; Francesco Morelli; Lorenzo Carlo Pescatori; Carmelo Messina; Massimo Imbriaco; Luca Maria Sconfienza
Journal:  Insights Imaging       Date:  2021-06-02
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