Literature DB >> 26216725

Histogram Analysis of CT Perfusion of Hepatocellular Carcinoma for Predicting Response to Transarterial Radioembolization: Value of Tumor Heterogeneity Assessment.

Caecilia S Reiner1, Sonja Gordic2, Gilbert Puippe2, Fabian Morsbach2, Moritz Wurnig2, Niklaus Schaefer3,4, Patrick Veit-Haibach3, Thomas Pfammatter2, Hatem Alkadhi2.   

Abstract

PURPOSE: To evaluate in patients with hepatocellular carcinoma (HCC), whether assessment of tumor heterogeneity by histogram analysis of computed tomography (CT) perfusion helps predicting response to transarterial radioembolization (TARE).
MATERIALS AND METHODS: Sixteen patients (15 male; mean age 65 years; age range 47-80 years) with HCC underwent CT liver perfusion for treatment planning prior to TARE with Yttrium-90 microspheres. Arterial perfusion (AP) derived from CT perfusion was measured in the entire tumor volume, and heterogeneity was analyzed voxel-wise by histogram analysis. Response to TARE was evaluated on follow-up imaging (median follow-up, 129 days) based on modified Response Evaluation Criteria in Solid Tumors (mRECIST). Results of histogram analysis and mean AP values of the tumor were compared between responders and non-responders. Receiver operating characteristics were calculated to determine the parameters' ability to discriminate responders from non-responders.
RESULTS: According to mRECIST, 8 patients (50%) were responders and 8 (50%) non-responders. Comparing responders and non-responders, the 50th and 75th percentile of AP derived from histogram analysis was significantly different [AP 43.8/54.3 vs. 27.6/34.3 mL min(-1) 100 mL(-1)); p < 0.05], while the mean AP of HCCs (43.5 vs. 27.9 mL min(-1) 100 mL(-1); p > 0.05) was not. Further heterogeneity parameters from histogram analysis (skewness, coefficient of variation, and 25th percentile) did not differ between responders and non-responders (p > 0.05). If the cut-off for the 75th percentile was set to an AP of 37.5 mL min(-1) 100 mL(-1), therapy response could be predicted with a sensitivity of 88% (7/8) and specificity of 75% (6/8).
CONCLUSION: Voxel-wise histogram analysis of pretreatment CT perfusion indicating tumor heterogeneity of HCC improves the pretreatment prediction of response to TARE.

Entities:  

Keywords:  Computed tomography perfusion; Hepatocellular carcinoma; Histogram analysis; Transarterial radioembolization; Treatment response

Mesh:

Substances:

Year:  2015        PMID: 26216725     DOI: 10.1007/s00270-015-1185-1

Source DB:  PubMed          Journal:  Cardiovasc Intervent Radiol        ISSN: 0174-1551            Impact factor:   2.740


  11 in total

Review 1.  Artificial intelligence in assessment of hepatocellular carcinoma treatment response.

Authors:  Bradley Spieler; Carl Sabottke; Ahmed W Moawad; Ahmed M Gabr; Mustafa R Bashir; Richard Kinh Gian Do; Vahid Yaghmai; Radu Rozenberg; Marielia Gerena; Joseph Yacoub; Khaled M Elsayes
Journal:  Abdom Radiol (NY)       Date:  2021-03-31

Review 2.  Radiomics of hepatocellular carcinoma.

Authors:  Sara Lewis; Stefanie Hectors; Bachir Taouli
Journal:  Abdom Radiol (NY)       Date:  2021-01

Review 3.  Advanced imaging techniques in the therapeutic response of transarterial chemoembolization for hepatocellular carcinoma.

Authors:  Ke Yang; Xiao-Ming Zhang; Lin Yang; Hao Xu; Juan Peng
Journal:  World J Gastroenterol       Date:  2016-05-28       Impact factor: 5.742

Review 4.  Systematic review: radiomics for the diagnosis and prognosis of hepatocellular carcinoma.

Authors:  Emily Harding-Theobald; Jeremy Louissaint; Bharat Maraj; Edward Cuaresma; Whitney Townsend; Mishal Mendiratta-Lala; Amit G Singal; Grace L Su; Anna S Lok; Neehar D Parikh
Journal:  Aliment Pharmacol Ther       Date:  2021-08-12       Impact factor: 9.524

5.  Assessment of Hepatocellular Carcinoma Response to 90Y Radioembolization Using Dynamic Contrast Material-enhanced MRI and Intravoxel Incoherent Motion Diffusion-weighted Imaging.

Authors:  Stefanie J Hectors; Sara Lewis; Paul Kennedy; Octavia Bane; Daniela Said; Maxwell Segall; Myron Schwartz; Edward Kim; Bachir Taouli
Journal:  Radiol Imaging Cancer       Date:  2020-07-24

6.  Texture analysis of CT imaging for assessment of esophageal squamous cancer aggressiveness.

Authors:  Song Liu; Huanhuan Zheng; Xia Pan; Ling Chen; Minke Shi; Yue Guan; Yun Ge; Jian He; Zhengyang Zhou
Journal:  J Thorac Dis       Date:  2017-11       Impact factor: 2.895

7.  Multislice Analysis of Blood Flow Values in CT Perfusion Studies of Lung Cancer.

Authors:  Silvia Malavasi; Domenico Barone; Giampaolo Gavelli; Alessandro Bevilacqua
Journal:  Biomed Res Int       Date:  2017-01-10       Impact factor: 3.411

Review 8.  Hepatocellular Carcinoma: Diagnosis, Treatment Algorithms, and Imaging Appearance after Transarterial Chemoembolization.

Authors:  Patrick Vande Lune; Ahmed K Abdel Aal; Sergio Klimkowski; Jessica G Zarzour; Andrew J Gunn
Journal:  J Clin Transl Hepatol       Date:  2018-01-05

9.  Correlation of C-arm CT acquired parenchymal blood volume (PBV) with 99mTc-macroaggregated albumin (MAA) SPECT/CT for radioembolization work-up.

Authors:  Matthias Weissinger; Jonas Vogel; Jürgen Kupferschläger; Helmut Dittmann; Salvador Guillermo Castaneda Vega; Ulrich Grosse; Christoph Artzner; Konstantin Nikolaou; Christian la Fougere; Gerd Grözinger
Journal:  PLoS One       Date:  2020-12-30       Impact factor: 3.240

10.  Comparison of organ-specific-radiation dose levels between 70 kVp perfusion CT and standard tri-phasic liver CT in patients with hepatocellular carcinoma using a Monte-Carlo-Simulation-based analysis platform.

Authors:  J Gawlitza; H Haubenreisser; M Meyer; C Hagelstein; S Sudarski; S O Schoenberg; T Henzler
Journal:  Eur J Radiol Open       Date:  2016-05-07
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