Literature DB >> 21512047

Volumetric arterial enhancement fraction predicts tumor recurrence after hepatic radiofrequency ablation of liver metastases: initial results.

Andreas H Mahnken1, Ernst Klotz, Sara Schreiber, Philipp Bruners, Peter Isfort, Rolf W Günther, Joachim E Wildberger.   

Abstract

OBJECTIVE: The objective of our study was to investigate the diagnostic value of the volumetric arterial enhancement fraction of the liver with color mapping for the early detection of tumor relapse after hepatic radiofrequency ablation (RFA).
MATERIALS AND METHODS: Fifty-three patients (24 men, 29 women; mean age ± SD, 65 ± 10 years) with a total of 215 liver metastases treated by RFA and a mean postinterventional follow-up period of 20 ± 15 (SD) months were included in this retrospective study. Quantitative arterial enhancement fraction color maps of the whole liver were computed from triple-phase contrast-enhanced MDCT images. Follow-up examinations served as the standard of reference. The diagnostic performance of the arterial enhancement fraction color maps to predict subsequent tumor occurrence before tumor was visible on routine multiphase CT images was evaluated.
RESULTS: The mean arterial enhancement fraction of segments that developed metastases (62% ± 23%) was significantly higher than the mean of segments that did not develop metastases (39% ± 20%) (p < 0.0001). Receiver operating characteristic curve analysis revealed a probability of 77% for arterial enhancement fraction values to be higher in case of subsequent metastases as compared with liver parenchyma without tumor recurrence.
CONCLUSION: The arterial enhancement fraction provides incremental value in the imaging surveillance for liver metastases after RFA. Arterial enhancement fraction color maps may be suited to predict tumor recurrence earlier than routine assessment using contrast-enhanced MDCT.

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Year:  2011        PMID: 21512047     DOI: 10.2214/AJR.10.4410

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

Review 1.  CT perfusion of the liver: principles and applications in oncology.

Authors:  Se Hyung Kim; Aya Kamaya; Jürgen K Willmann
Journal:  Radiology       Date:  2014-08       Impact factor: 11.105

Review 2.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

Authors:  Domenico Albano; Federico Bruno; Andrea Agostini; Salvatore Alessio Angileri; Massimo Benenati; Giulia Bicchierai; Michaela Cellina; Vito Chianca; Diletta Cozzi; Ginevra Danti; Federica De Muzio; Letizia Di Meglio; Francesco Gentili; Giuliana Giacobbe; Giulia Grazzini; Irene Grazzini; Pasquale Guerriero; Carmelo Messina; Giuseppe Micci; Pierpaolo Palumbo; Maria Paola Rocco; Roberto Grassi; Vittorio Miele; Antonio Barile
Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

Review 3.  Computed Tomography and Ultrasounds for the Follow-up of Hepatocellular Carcinoma Ablation: What You Need to Know.

Authors:  Alexios Kelekis; Dimitrios Filippiadis
Journal:  Diagnostics (Basel)       Date:  2016-02-04

4.  CT perfusion imaging can detect residual lung tumor early after radiofrequency ablation: a preliminary animal study on both tumoral and peri-tumoral region assessment.

Authors:  Zenghui Cheng; Yixue Wang; Min Yuan; Jianxiao Liang; Yanling Feng; Yuxin Shi; Zhiyong Zhang; Fei Shan
Journal:  J Thorac Dis       Date:  2022-01       Impact factor: 2.895

5.  Early Assessment of Response to Radiofrequency Ablation With CT Perfusion Imaging in Rabbit VX2 Liver Tumor Model.

Authors:  Xiaofei Yue; Xiangjun Dong; Mengting Huang; Hongli Yang; Kun Qian; Changhong Yi; Osamah Alwalid; Yanqiao Ren; Ping Han; Qian Li
Journal:  Front Oncol       Date:  2021-11-25       Impact factor: 6.244

6.  Arterial enhancement fraction in evaluating the therapeutic effect and survival for hepatocellular carcinoma patients treated with DEB-TACE.

Authors:  Bin Chai; Dongqiao Xiang; Wei Wang; Yanqiao Ren; Fuquan Wang; Jihua Wang; Guofeng Zhou; Chuansheng Zheng
Journal:  Cancer Imaging       Date:  2022-07-30       Impact factor: 5.605

  6 in total

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