Literature DB >> 22459347

Intermodality comparison between 3D perfusion CT and 18F-FDG PET/CT imaging for predicting early tumor response in patients with liver metastasis after chemotherapy: preliminary results of a prospective study.

Dong Hyun Kim1, Se Hyung Kim, Seock-Ah Im, Sae-Won Han, Jin Mo Goo, Jürgen K Willmann, Eun Seong Lee, Jae Seon Eo, Jin Chul Paeng, Joon Koo Han, Byung Ihn Choi.   

Abstract

OBJECTIVES: To evaluate the feasibility of 3D perfusion CT for predicting early treatment response in patients with liver metastasis from colorectal cancer.
METHODS: Seventeen patients with colon cancer and liver metastasis were prospectively enroled to undergo perfusion CT and 18F-FDG-PET/CT before and after one-cycle of chemotherapy. Two radiologists and three nuclear medicine physicians measured various perfusion CT and PET/CT parameters, respectively from the largest hepatic metastasis. Baseline values and reduction rates of the parameters were compared between responders and nonresponders. Spearman correlation test was used to correlate perfusion CT and PET/CT parameters, using RECIST criteria as reference standard.
RESULTS: Nine patients responded to treatment, eight patients were nonresponders. Baseline SUVmean30 on PET/CT, reduction rates of 30% metabolic volume and 30% lesion glycolysis (LG30) on PET/CT and blood flow (BF) and flow extraction product (FEP) on perfusion CT after chemotherapy were significantly different between responders and nonresponders (P=0.008-0.046). Reduction rates of BF (correlation coefficient=0.630) and FEP (correlation coefficient=0.578) significantly correlated with that of LG30 on PET/CT (P<0.05).
CONCLUSION: CT perfusion parameters including BF and FEP may be used as early predictors of tumor response in patients with liver metastasis from colorectal cancer.
Copyright © 2012 Elsevier Ireland Ltd. All rights reserved.

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Year:  2012        PMID: 22459347     DOI: 10.1016/j.ejrad.2012.02.012

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  15 in total

1.  Influence of tube voltage, tube current and newer iterative reconstruction algorithms in CT perfusion imaging in rabbit liver VX2 tumors.

Authors:  Jing-Lei Li; Wei-Tao Ye; Li-Fen Yan; Zai-Yi Liu; Xi-Ming Cao; Chang-Hong Liang
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

2.  Quantitative imaging features of pretreatment CT predict volumetric response to chemotherapy in patients with colorectal liver metastases.

Authors:  John M Creasy; Abhishek Midya; Jayasree Chakraborty; Lauryn B Adams; Camilla Gomes; Mithat Gonen; Kenneth P Seastedt; Elizabeth J Sutton; Andrea Cercek; Nancy E Kemeny; Jinru Shia; Vinod P Balachandran; T Peter Kingham; Peter J Allen; Ronald P DeMatteo; William R Jarnagin; Michael I D'Angelica; Richard K G Do; Amber L Simpson
Journal:  Eur Radiol       Date:  2018-06-19       Impact factor: 5.315

Review 3.  Prognostication and response assessment in liver and pancreatic tumors: The new imaging.

Authors:  Riccardo De Robertis; Paolo Tinazzi Martini; Emanuele Demozzi; Gino Puntel; Silvia Ortolani; Sara Cingarlini; Andrea Ruzzenente; Alfredo Guglielmi; Giampaolo Tortora; Claudio Bassi; Paolo Pederzoli; Mirko D'Onofrio
Journal:  World J Gastroenterol       Date:  2015-06-14       Impact factor: 5.742

4.  Reproducibility and variability of very low dose hepatic perfusion CT in metastatic liver disease.

Authors:  Osman Melih Topcuoğlu; Muşturay Karçaaltıncaba; Deniz Akata; Mustafa Nasuh Özmen
Journal:  Diagn Interv Radiol       Date:  2016 Nov-Dec       Impact factor: 2.630

Review 5.  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

6.  Nuclear imaging for functional evaluation and theragnosis in liver malignancy and transplantation.

Authors:  Jae Seon Eo; Jin Chul Paeng; Dong Soo Lee
Journal:  World J Gastroenterol       Date:  2014-05-14       Impact factor: 5.742

7.  Potential of MR histogram analyses for prediction of response to chemotherapy in patients with colorectal hepatic metastases.

Authors:  He-Yue Liang; Ya-Qin Huang; Zhao-Xia Yang; Meng-Su Zeng; Sheng-Xiang Rao
Journal:  Eur Radiol       Date:  2015-10-22       Impact factor: 5.315

Review 8.  Dynamic contrast-enhanced (DCE) imaging: state of the art and applications in whole-body imaging.

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Journal:  Jpn J Radiol       Date:  2021-12-24       Impact factor: 2.374

9.  Computed tomography (CT) perfusion as an early predictive marker for treatment response to neoadjuvant chemotherapy in gastroesophageal junction cancer and gastric cancer--a prospective study.

Authors:  Martin Lundsgaard Hansen; Eva Fallentin; Carsten Lauridsen; Ian Law; Birgitte Federspiel; Lene Bæksgaard; Lars Bo Svendsen; Michael Bachmann Nielsen
Journal:  PLoS One       Date:  2014-05-20       Impact factor: 3.240

10.  Three-Dimensional Quantitative Evaluation of the Segmental Functional Reserve in the Cirrhotic Liver Using Multi-Modality Imaging.

Authors:  Canhong Xiang; Yingmao Chen; Mingzhe Shao; Can Li; Xin Huang; Lei Gong; Ang Li; Weidong Duan; Aiqun Zhang; Jiahong Dong
Journal:  Medicine (Baltimore)       Date:  2016-03       Impact factor: 1.889

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