Literature DB >> 29584597

Advanced Hepatocellular Carcinoma: Pretreatment Contrast-enhanced CT Texture Parameters as Predictive Biomarkers of Survival in Patients Treated with Sorafenib.

Sébastien Mulé1, Gérard Thiefin1, Charlotte Costentin1, Carole Durot1, Alain Rahmouni1, Alain Luciani1, Christine Hoeffel1.   

Abstract

Purpose To determine whether texture features on pretreatment contrast material-enhanced computed tomographic (CT) images can help predict overall survival (OS) and time to progression (TTP) in patients with advanced hepatocellular carcinoma (HCC) treated with sorafenib. Materials and Methods This retrospective study included 92 patients with advanced HCC treated with sorafenib between January 2009 and April 2015 at two independent university hospitals. Sixty-four of the 92 patients (70%) (six women, 58 men; median age, 66 years) were included from institution 1 and constituted a training cohort; 28 patients (30%) (five women, 23 men; median age, 64 years) were included from institution 2 and constituted a validation cohort. Pretreatment CT texture analysis was performed on late arterial and portal venous phase HCC images. Mean gray-level intensity, entropy, kurtosis, skewness, and standard deviation values were derived from the pixel distribution histogram before and after spatial filtration at different anatomic scales ranging from fine to coarse texture. Lesion heterogeneity was also visually graded on a 4-point scale. Correlations between visual analysis and texture parameters were assessed with the Spearman rank correlation. Univariate Kaplan-Meier and multivariate Cox proportional hazards regression analyses were performed in the training cohort to identify independent predictors of OS and TTP. Their predictive capacity was tested on the validation cohort by using Kaplan-Meier analysis. Results Visual analysis of tumor heterogeneity correlated with entropy at both arterial (P = .012) and portal venous (P = .038) phases. Portal phase-derived entropy at fine (hazard ratio [HR], 5.08; P = .0033), medium (HR, 2.23; P = .019), and coarse (HR, 2.26; P = .0032) texture scales was identified as an independent predictor of OS and confirmed in the validation cohort (P < .05). The difference in median survival between patients in the validation cohort with entropy values below and above the identified threshold was 272 days (with fine texture) and 741 days (with medium and coarse textures). Arterial phase-derived texture parameters (P > .085) and visual analysis (P > .11) were not associated with changes in survival. Conclusion Pretreatment portal venous phase-derived tumor entropy may be a predictor of survival in patients with advanced HCC treated with sorafenib. © RSNA, 2018 Online supplemental material is available for this article.

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Year:  2018        PMID: 29584597     DOI: 10.1148/radiol.2018171320

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  24 in total

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Authors:  Mengmeng Feng; Mengchao Zhang; Yuanqing Liu; Nan Jiang; Qian Meng; Jia Wang; Ziyun Yao; Wenjuan Gan; Hui Dai
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Review 2.  Radiomics of hepatocellular carcinoma.

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

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Journal:  Radiat Oncol       Date:  2021-01-12       Impact factor: 3.481

Review 4.  Radiomics of hepatocellular carcinoma: promising roles in patient selection, prediction, and assessment of treatment response.

Authors:  Amir A Borhani; Roberta Catania; Yuri S Velichko; Stefanie Hectors; Bachir Taouli; Sara Lewis
Journal:  Abdom Radiol (NY)       Date:  2021-04-23

Review 5.  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
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6.  Metastatic melanoma treated by immunotherapy: discovering prognostic markers from radiomics analysis of pretreatment CT with feature selection and classification.

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Journal:  Int J Comput Assist Radiol Surg       Date:  2022-06-02       Impact factor: 3.421

Review 7.  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

8.  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
Journal:  Eur Radiol       Date:  2019-01-15       Impact factor: 5.315

9.  Radiomics Signature: A potential biomarker for the prediction of survival in Advanced Hepatocellular Carcinoma.

Authors:  Lingli Li; Xuefeng Kan; Yongjun Zhao; Bo Liang; Tianhe Ye; Lian Yang; Chuansheng Zheng
Journal:  Int J Med Sci       Date:  2021-03-30       Impact factor: 3.738

10.  Hepatocellular Carcinoma Drug-Eluting Bead Transarterial Chemoembolization (DEB-TACE): Outcome Analysis Using a Model Based On Pre-Treatment CT Texture Features.

Authors:  Marcello Andrea Tipaldi; Edoardo Ronconi; Elena Lucertini; Miltiadis Krokidis; Marta Zerunian; Tiziano Polidori; Paola Begini; Massimo Marignani; Federica Mazzuca; Damiano Caruso; Michele Rossi; Andrea Laghi
Journal:  Diagnostics (Basel)       Date:  2021-05-26
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