Literature DB >> 30819478

The Efficacy of Cone-Beam CT-Based Liver Perfusion Mapping to Predict Initial Response of Hepatocellular Carcinoma to Transarterial Chemoembolization.

Kyung Ah Kim1, Sun Young Choi2, Min Uk Kim3, Seung Yon Baek3, Sang Hui Park4, Kwon Yoo5, Tae Hun Kim5, Hwi Young Kim5.   

Abstract

PURPOSE: To evaluate efficacy of cone-beam CT-based liver perfusion mapping obtained immediately following conventional transarterial chemoembolization of hepatocellular carcinoma (HCC) for assessing tumor vascularity, technical success of chemoembolization, and treatment response.
MATERIALS AND METHODS: From July 2015 to June 2016, 35 patients with 57 HCCs who underwent cone-beam CT with post-processing software via conventional transarterial chemoembolization for HCC and follow-up examination were included. Three reviewers evaluated technical success on angiography, unenhanced cone-beam CT, contrast-enhanced cone-beam CT, and cone-beam CT-based liver perfusion mapping after transarterial chemoembolization per tumor and per patient. Parenchymal blood volume (PBV) was measured. Treatment response was determined on follow-up CT, MR imaging, or histopathology according to modified Response Evaluation Criteria In Solid Tumors. Diagnostic performance for detection of a viable tumor was evaluated using multiple logistic regression with C-statistics.
RESULTS: Treatment response was 38, 17, 2, and 0 for complete response, partial response, stable disease, and progressive disease per tumor and 18, 15, 2, and 0 per patient. In multiple logistic regression, unenhanced cone-beam CT, contrast-enhanced cone-beam CT, cone-beam CT-based liver perfusion mapping, mean value of PBV, and maximum value of PBV of tumor were significant in response assessment for per tumor and per patient (per tumor, all P < .001; per patient, P = .015, P = .001, P < .001, P = .020, and P = .032). Mean value of PBV of tumor was excellent for evaluating technical success with the highest C-statistic (0.880 and 0.920 for per tumor and per patient), followed by that of visual assessment of cone-beam CT-based liver perfusion mapping (0.864 and 0.908).
CONCLUSIONS: Cone-beam CT-based liver perfusion mapping provided reliable images to evaluate technical success after transarterial chemoembolization of HCC by qualitative visual assessment and quantitative perfusion values.
Copyright © 2018 SIR. Published by Elsevier Inc. All rights reserved.

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Year:  2019        PMID: 30819478     DOI: 10.1016/j.jvir.2018.10.002

Source DB:  PubMed          Journal:  J Vasc Interv Radiol        ISSN: 1051-0443            Impact factor:   3.464


  5 in total

Review 1.  Updates on Imaging of Liver Tumors.

Authors:  Arya Haj-Mirzaian; Ana Kadivar; Ihab R Kamel; Atif Zaheer
Journal:  Curr Oncol Rep       Date:  2020-04-16       Impact factor: 5.075

2.  Imaging-based characterization of convective tissue properties.

Authors:  D Fuentes; E Thompson; M Jacobsen; A Colleen Crouch; R R Layman; B Riviere; E Cressman
Journal:  Int J Hyperthermia       Date:  2020-12       Impact factor: 3.914

3.  Role of Cone-Beam CT in the Intraprocedural Evaluation of Chemoembolization of Hepatocellular Carcinoma.

Authors:  Antonio Orlacchio; Silvia Roma; Vito dell'Olio; Sara Crociati; Ilaria Lenci; Simona Francioso
Journal:  J Oncol       Date:  2021-03-19       Impact factor: 4.375

4.  Use of perfusional CBCT imaging for intraprocedural evaluation of endovascular treatment in patients with diabetic foot: a concept paper.

Authors:  Martina Gurgitano; Giulia Signorelli; Giovanni Maria Rodà; Alessandro Liguori; Marco Pandolfi; Giuseppe Granata; Antonio Arrichiello; Anna Maria Ierardi; Aldo Paolucci; Gianpaolo Carrafiello
Journal:  Acta Biomed       Date:  2020-09-23

5.  The value of intra-procedural transcatheter intraarterial contrast-enhanced ultrasonography (IA-CEUS) in predicting the short-term efficacy of conventional transarterial chemoembolization (cTACE).

Authors:  Xiang Fei; Zhi-Jun Wang; Ye Li; Peng Han; Xiao-Hui Li; Bo Jiang
Journal:  Transl Cancer Res       Date:  2020-05       Impact factor: 1.241

  5 in total

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