Literature DB >> 22344403

Neuroendocrine tumor liver metastases: use of dynamic contrast-enhanced MR imaging to monitor and predict radiolabeled octreotide therapy response.

Keiko Miyazaki1, Matthew R Orton, Robert L Davidson, James A d'Arcy, Valerie Lewington, Tong San Koh, Choon Hua Thng, Martin O Leach, David J Collins, Dow-Mu Koh.   

Abstract

PURPOSE: To evaluate dynamic contrast-enhanced (DCE) magnetic resonance (MR) imaging for monitoring and assessing treatment response in patients with neuroendocrine liver metastases treated using yttrium 90 ((90)Y)-labeled octreotide ((90)Y-DOTATOC).
MATERIALS AND METHODS: The study was approved by the local research and ethics committee and patient informed consent was obtained. Twenty patients with liver metastases from neuroendocrine tumors underwent T1-weighted DCE MR imaging of the liver before and at 2 months after intravenous (90)Y-DOTATOC treatment. Regions of interest were drawn around target lesions, as well as along liver outlines for each patient. A dual-input single-compartment model was used to compute parameters including fractional distribution volume and the arterial flow fraction. Pre- and posttreatment values were compared using Wilcoxon signed rank test. Treatment response was defined as showing a greater than 50% reduction in the nadir chromogranin A level within the 1st year after treatment. Pretreatment values of responders and nonresponders were compared using the Mann-Whitney test. A two-tailed P value of .008 or less, which accounts for multiple testing, was considered to indicate a significant difference.
RESULTS: In responders, tumor and whole liver distribution volume significantly increased after treatment (median tumor distribution volume, 0.182 vs 0.244; median whole liver distribution volume, 0.175 vs 0.207; P = .008). The pretreatment whole liver distribution volume was significantly lower in responders (median, 0.175 vs 0.248; P = .003), while pretreatment tumor arterial flow fraction was significantly higher in responders (median, 1.000 vs 0.7 ± 1, P = .006).
CONCLUSION: DCE MR imaging may be used to monitor the effects of peptide receptor radiolabeled targeted therapy in patients with neuroendocrine tumors liver metastases; a lower pretreatment distribution volume and high arterial flow fraction was associated with a better response to treatment. © RSNA, 2012.

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Year:  2012        PMID: 22344403     DOI: 10.1148/radiol.12110770

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


  18 in total

1.  Free-breathing liver perfusion imaging using 3-dimensional through-time spiral generalized autocalibrating partially parallel acquisition acceleration.

Authors:  Yong Chen; Gregory R Lee; Katherine L Wright; Chaitra Badve; Dean Nakamoto; Alice Yu; Mark D Schluchter; Mark A Griswold; Nicole Seiberlich; Vikas Gulani
Journal:  Invest Radiol       Date:  2015-06       Impact factor: 6.016

Review 2.  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

3.  Early Whole-Body Diffusion-weighted MRI Helps Predict Long-term Outcome Following Peptide Receptor Radionuclide Therapy for Metastatic Neuroendocrine Tumors.

Authors:  Vincent Vandecaveye; Raphaëla C Dresen; Elin Pauwels; Sofie Van Binnebeek; Ragna Vanslembrouck; Kristof Baete; Felix M Mottaghy; Paul M Clement; Kristiaan Nackaerts; Eric Van Cutsem; Chris Verslype; Frederik De Keyzer; Christophe M Deroose
Journal:  Radiol Imaging Cancer       Date:  2022-05

4.  Dynamic contrast-enhanced MRI perfusion quantification in hepatocellular carcinoma: comparison of gadoxetate disodium and gadobenate dimeglumine.

Authors:  Daniel Stocker; Stefanie Hectors; Octavia Bane; Naik Vietti-Violi; Daniela Said; Paul Kennedy; Jordan Cuevas; Guilherme M Cunha; Claude B Sirlin; Kathryn J Fowler; Sara Lewis; Bachir Taouli
Journal:  Eur Radiol       Date:  2021-05-27       Impact factor: 5.315

Review 5.  Multiparametric MR Imaging in Abdominal Malignancies.

Authors:  Antonio Luna; Shivani Pahwa; Claudio Bonini; Lidia Alcalá-Mata; Katherine L Wright; Vikas Gulani
Journal:  Magn Reson Imaging Clin N Am       Date:  2016-02       Impact factor: 2.266

Review 6.  DCE-MRI in hepatocellular carcinoma-clinical and therapeutic image biomarker.

Authors:  Bang-Bin Chen; Tiffany Ting-Fang Shih
Journal:  World J Gastroenterol       Date:  2014-03-28       Impact factor: 5.742

7.  Can DCE-MRI explain the heterogeneity in radiopeptide uptake imaged by SPECT in a pancreatic neuroendocrine tumor model?

Authors:  Karin Bol; Joost C Haeck; Harald C Groen; Wiro J Niessen; Monique R Bernsen; Marion de Jong; Jifke F Veenland
Journal:  PLoS One       Date:  2013-10-08       Impact factor: 3.240

8.  Demonstration of the reproducibility of free-breathing diffusion-weighted MRI and dynamic contrast enhanced MRI in children with solid tumours: a pilot study.

Authors:  Keiko Miyazaki; Neil P Jerome; David J Collins; Matthew R Orton; James A d'Arcy; Toni Wallace; Lucas Moreno; Andrew D J Pearson; Lynley V Marshall; Fernando Carceller; Martin O Leach; Stergios Zacharoulis; Dow-Mu Koh
Journal:  Eur Radiol       Date:  2015-03-15       Impact factor: 5.315

Review 9.  Functional imaging biomarkers for assessing response to treatment in liver and lung metastases.

Authors:  Livia Bernardin; Elizabeth A M O'Flynn; Nandita M Desouza
Journal:  Cancer Imaging       Date:  2013-12-11       Impact factor: 3.909

10.  Water-Exchange-Modified Kinetic Parameters from Dynamic Contrast-Enhanced MRI as Prognostic Biomarkers of Survival in Advanced Hepatocellular Carcinoma Treated with Antiangiogenic Monotherapy.

Authors:  Sang Ho Lee; Koichi Hayano; Andrew X Zhu; Dushyant V Sahani; Hiroyuki Yoshida
Journal:  PLoS One       Date:  2015-09-14       Impact factor: 3.240

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