Literature DB >> 27601143

Changes in hepatic perfusion assessed by dynamic contrast enhanced MRI, associated with morphologic evaluation, in patients with liver metastases from colorectal cancer treated with first-line chemotherapy.

Marco Tampellini1, Dario Gned2, Chiara Baratelli3, Maria Pia Brizzi1, Azzurra Ottone1, Irene Alabiso1, Chiara Bertaggia2, Massimo Di Maio1, Giorgio Vittorio Scagliotti1, Andrea Veltri2.   

Abstract

INTRODUCTION: Blood perfusion of liver metastases can be non-invasively assessed by dynamic contrast enhanced magnetic resonance imaging (DCE-MRI). The aim of this study was to explore whether the ratio of hepatic arterial to total liver blood flow (Hepatic Perfusion Index-HPI) and the area under the enhancement curve (AUC) of selected liver areas in patients with hepatic metastases from colorectal cancer treated with first-line chemotherapy could predict response and/or be a prognostic variable. PATIENTS AND METHODS: Sequential liver DCE-MRI studies with morphological imaging reconstruction were performed in 43 consecutive patients at baseline and every 3 months during oxaliplatin-based first-line chemotherapy. Data about HPI of the whole liver, and AUC of metastatic and healthy areas were calculated at each time-point and compared both at baseline and sequentially during the treatment.
RESULTS: Baseline HPI and AUC values did not discriminate patients responsive to chemotherapy, nor those with better survival outcomes. HPI and AUC values at 3 months decreased significantly more in responders than non-responders. AUCs calculated from areas of the liver with or without neoplastic lesions varied consistently, being increased in progressing patients and decreased in responding patients. DISCUSSION: Our results did not support the hypothesis of a predictive or prognostic role of HPI and AUCs calculated by DCE-MRI in liver metastatic CRC patients, thus the primary endpoint of the study was not reached. However, reduced arterial blood flow in metastatic liver can be obtained by chemotherapy alone, without any anti-angiogenic agent; interestingly, HPI and AUC data suggest a possible relationship between tumor metabolism and entire liver perfusion.

Entities:  

Keywords:  AUC; DCE-MRI; HPI; Liver blood flow; Metastatic colorectal cancer

Mesh:

Substances:

Year:  2016        PMID: 27601143     DOI: 10.1007/s11547-016-0685-7

Source DB:  PubMed          Journal:  Radiol Med        ISSN: 0033-8362            Impact factor:   3.469


  16 in total

1.  Epidemiology and management of liver metastases from colorectal cancer.

Authors:  Sylvain Manfredi; Côme Lepage; Cyril Hatem; Olivier Coatmeur; Jean Faivre; Anne-Marie Bouvier
Journal:  Ann Surg       Date:  2006-08       Impact factor: 12.969

2.  Parametric mapping of the hepatic perfusion index with gadolinium-enhanced volumetric MRI.

Authors:  M J White; R L O'Gorman; E M Charles-Edwards; P A Kane; J B Karani; M O Leach; J J Totman
Journal:  Br J Radiol       Date:  2006-07-19       Impact factor: 3.039

3.  Pharmacokinetic parameters from 3-Tesla DCE-MRI as surrogate biomarkers of antitumor effects of bevacizumab plus FOLFIRI in colorectal cancer with liver metastasis.

Authors:  Yoshinori Hirashima; Yasuhide Yamada; Ukihide Tateishi; Ken Kato; Mototaka Miyake; Yosuke Horita; Kohei Akiyoshi; Atsuo Takashima; Natsuko Okita; Daisuke Takahari; Takako Nakajima; Tetsuya Hamaguchi; Yasuhiro Shimada; Kuniaki Shirao
Journal:  Int J Cancer       Date:  2011-11-28       Impact factor: 7.396

4.  Global cancer statistics, 2012.

Authors:  Lindsey A Torre; Freddie Bray; Rebecca L Siegel; Jacques Ferlay; Joannie Lortet-Tieulent; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2015-02-04       Impact factor: 508.702

Review 5.  Surgical treatment of colorectal metastases to the liver.

Authors:  Y Fong; L H Blumgart; A M Cohen
Journal:  CA Cancer J Clin       Date:  1995 Jan-Feb       Impact factor: 508.702

6.  Quantitative mapping of hepatic perfusion index using MR imaging: a potential reproducible tool for assessing tumour response to treatment with the antiangiogenic compound BIBF 1120, a potent triple angiokinase inhibitor.

Authors:  Keiko Miyazaki; David J Collins; Simon Walker-Samuel; Jane N Taylor; Anwar R Padhani; Martin O Leach; Dow-Mu Koh
Journal:  Eur Radiol       Date:  2008-03-20       Impact factor: 5.315

7.  Detection of colorectal liver metastases: comparison of laparotomy, CT, US, and Doppler perfusion index and evaluation of postoperative follow-up results.

Authors:  E Leen; W J Angerson; H Wotherspoon; B Moule; T G Cook; C S McArdle
Journal:  Radiology       Date:  1995-04       Impact factor: 11.105

8.  New response evaluation criteria in solid tumours: revised RECIST guideline (version 1.1).

Authors:  E A Eisenhauer; P Therasse; J Bogaerts; L H Schwartz; D Sargent; R Ford; J Dancey; S Arbuck; S Gwyther; M Mooney; L Rubinstein; L Shankar; L Dodd; R Kaplan; D Lacombe; J Verweij
Journal:  Eur J Cancer       Date:  2009-01       Impact factor: 9.162

9.  Pharmacokinetics and Safety of Macrocyclic Gadobutrol in Children Aged Younger Than 2 Years Including Term Newborns in Comparison to Older Populations.

Authors:  Christian Kunze; Hans-Joachim Mentzel; Rajesh Krishnamurthy; Robert Fleck; Martin Stenzel; Ravi Bhargava; Delilah Burrowes; Gabriele Sutter; Marcus Schultze-Mosgau; Marta Santiuste; Gabriele Hahn
Journal:  Invest Radiol       Date:  2016-01       Impact factor: 6.016

10.  Value of DCE-MRI and FDG-PET/CT in the prediction of response to preoperative chemotherapy with bevacizumab for colorectal liver metastases.

Authors:  S De Bruyne; N Van Damme; P Smeets; L Ferdinande; W Ceelen; J Mertens; C Van de Wiele; R Troisi; L Libbrecht; S Laurent; K Geboes; M Peeters
Journal:  Br J Cancer       Date:  2012-05-17       Impact factor: 7.640

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  1 in total

1.  Firework Optimization Algorithm-Based Diagnosis of Hepatocellular Carcinoma and Hepatic Cavernous Hemangioma Using MRI Images.

Authors:  Geng Liu; Huiqun Chen; Fang Fang; Lei Song
Journal:  Contrast Media Mol Imaging       Date:  2021-07-20       Impact factor: 3.161

  1 in total

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