Literature DB >> 27831830

Imaging Biomarkers of Tumor Response in Neuroendocrine Liver Metastases Treated with Transarterial Chemoembolization: Can Enhancing Tumor Burden of the Whole Liver Help Predict Patient Survival?

Sonia Sahu1, Ruediger Schernthaner1, Roberto Ardon1, Julius Chapiro1, Yan Zhao1, Jae Ho Sohn1, Florian Fleckenstein1, MingDe Lin1, Jean-François Geschwind1, Rafael Duran1.   

Abstract

Purpose To investigate whether whole-liver enhancing tumor burden [ETB] can serve as an imaging biomarker and help predict survival better than World Health Organization (WHO), Response Evaluation Criteria in Solid Tumors (RECIST), modified RECIST (mRECIST), and European Association for the Study of the Liver (EASL) methods in patients with multifocal, bilobar neuroendocrine liver metastases (NELM) after the first transarterial chemoembolization (TACE) procedure. Materials and Methods This HIPAA-compliant, institutional review board-approved retrospective study included 51 patients (mean age, 57.8 years ± 13.2; range, 13.5-85.8 years) with multifocal, bilobar NELM treated with TACE. The largest area (WHO), longest diameter (RECIST), longest enhancing diameter (mRECIST), largest enhancing area (EASL), and largest enhancing volume (ETB) were measured at baseline and after the first TACE on contrast material-enhanced magnetic resonance images. With three-dimensional software, ETB was measured as more than 2 standard deviations the signal intensity of a region of interest in normal liver. Response was assessed with WHO, RECIST, mRECIST, and EASL methods according to their respective criteria. For ETB response, a decrease in enhancement of at least 30%, 50%, and 65% was analyzed by using the Akaike information criterion. Survival analysis included Kaplan-Meier curves and Cox regressions. Results Treatment response occurred in 5.9% (WHO criteria), 2.0% (RECIST), 25.5% (mRECIST), and 23.5% (EASL criteria) of patients. With 30%, 50%, and 65% cutoffs, ETB response was seen in 60.8%, 39.2%, and 21.6% of patients, respectively, and was the only biomarker associated with a survival difference between responders and nonresponders (45.0 months vs 10.0 months, 84.3 months vs 16.7 months, and 85.2 months vs 21.2 months, respectively; P < .01 for all). The 50% cutoff provided the best survival model (hazard ratio [HR]: 0.2; 95% confidence interval [CI]: 0.1, 0.4). At multivariate analysis, ETB response was an independent predictor of survival (HR: 0.2; 95% CI: 0.1, 0.6). Conclusion Volumetric ETB is an early treatment response biomarker and surrogate for survival in patients with multifocal, bilobar NELM after the first TACE procedure. © RSNA, 2016.

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Year:  2016        PMID: 27831830      PMCID: PMC5425309          DOI: 10.1148/radiol.2016160838

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


  43 in total

1.  ENETS Consensus Guidelines for the management of patients with liver and other distant metastases from neuroendocrine neoplasms of foregut, midgut, hindgut, and unknown primary.

Authors:  Marianne Pavel; Eric Baudin; Anne Couvelard; Eric Krenning; Kjell Öberg; Thomas Steinmüller; Martin Anlauf; Bertram Wiedenmann; Ramon Salazar
Journal:  Neuroendocrinology       Date:  2012-02-15       Impact factor: 4.914

2.  How I do it: a practical database management system to assist clinical research teams with data collection, organization, and reporting.

Authors:  Howard Lee; Julius Chapiro; Rüdiger Schernthaner; Rafael Duran; Zhijun Wang; Boris Gorodetski; Jean-François Geschwind; MingDe Lin
Journal:  Acad Radiol       Date:  2015-01-29       Impact factor: 3.173

3.  Multi-organ localization combining global-to-local regression and confidence maps.

Authors:  Romane Gauriau; Rémi Cuingnet; David Lesage; Isabelle Bloch
Journal:  Med Image Comput Comput Assist Interv       Date:  2014

Review 4.  Therapeutic strategies for neuroendocrine liver metastases.

Authors:  Andrea Frilling; Ashley K Clift
Journal:  Cancer       Date:  2014-10-01       Impact factor: 6.860

5.  Sunitinib malate for the treatment of pancreatic neuroendocrine tumors.

Authors:  Eric Raymond; Laetitia Dahan; Jean-Luc Raoul; Yung-Jue Bang; Ivan Borbath; Catherine Lombard-Bohas; Juan Valle; Peter Metrakos; Denis Smith; Aaron Vinik; Jen-Shi Chen; Dieter Hörsch; Pascal Hammel; Bertram Wiedenmann; Eric Van Cutsem; Shem Patyna; Dongrui Ray Lu; Carolyn Blanckmeister; Richard Chao; Philippe Ruszniewski
Journal:  N Engl J Med       Date:  2011-02-10       Impact factor: 91.245

Review 6.  One hundred years after "carcinoid": epidemiology of and prognostic factors for neuroendocrine tumors in 35,825 cases in the United States.

Authors:  James C Yao; Manal Hassan; Alexandria Phan; Cecile Dagohoy; Colleen Leary; Jeannette E Mares; Eddie K Abdalla; Jason B Fleming; Jean-Nicolas Vauthey; Asif Rashid; Douglas B Evans
Journal:  J Clin Oncol       Date:  2008-06-20       Impact factor: 44.544

7.  Functional MRI evaluation of tumor response in patients with neuroendocrine hepatic metastasis treated with transcatheter arterial chemoembolization.

Authors:  Eleni Liapi; Jean-Francois Geschwind; Josephina A Vossen; Manon Buijs; Christos S Georgiades; David A Bluemke; Ihab R Kamel
Journal:  AJR Am J Roentgenol       Date:  2008-01       Impact factor: 3.959

Review 8.  Assessment of liver tumor response to therapy: role of quantitative imaging.

Authors:  Fernanda D Gonzalez-Guindalini; Marcos P F Botelho; Carla B Harmath; Kumaresan Sandrasegaran; Frank H Miller; Riad Salem; Vahid Yaghmai
Journal:  Radiographics       Date:  2013-10       Impact factor: 5.333

9.  Treatment of liver metastases from neuroendocrine tumours in relation to the extent of hepatic disease.

Authors:  A Frilling; J Li; E Malamutmann; K-W Schmid; A Bockisch; C E Broelsch
Journal:  Br J Surg       Date:  2009-02       Impact factor: 6.939

10.  Neuroendocrine liver metastasis treated by using intraarterial therapy: volumetric functional imaging biomarkers of early tumor response and survival.

Authors:  Vivek Gowdra Halappa; Celia Pamela Corona-Villalobos; Susanne Bonekamp; Zhen Li; Diane Reyes; David Cosgrove; Timothy M Pawlik; Luis Alberto Diaz; Nikhil Bhagat; John Eng; Jean-François Geschwind; Ihab R Kamel
Journal:  Radiology       Date:  2012-11-28       Impact factor: 11.105

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  16 in total

1.  Prognostic value of baseline volumetric multiparametric MR imaging in neuroendocrine liver metastases treated with transarterial chemoembolization.

Authors:  Yan Luo; Ankur Pandey; Mounes Aliyari Ghasabeh; Pallavi Pandey; Farnaz Najmi Varzaneh; Manijeh Zarghampour; Pegah Khoshpouri; Sanaz Ameli; Zhen Li; Daoyu Hu; Ihab R Kamel
Journal:  Eur Radiol       Date:  2019-03-15       Impact factor: 5.315

2.  Analysis of Tumor Burden as a Biomarker for Patient Survival with Neuroendocrine Tumor Liver Metastases Undergoing Intra-Arterial Therapies: A Single-Center Retrospective Analysis.

Authors:  Milena Miszczuk; Julius Chapiro; Duc Do Minh; Johanna Maria Mijntje van Breugel; Susanne Smolka; Irvin Rexha; Bruno Tegel; MingDe Lin; Lynn Jeanette Savic; Kelvin Hong; Christos Georgiades; Nariman Nezami
Journal:  Cardiovasc Intervent Radiol       Date:  2022-08-08       Impact factor: 2.797

3.  Response assessment methods for patients with hepatic metastasis from rare tumor primaries undergoing transarterial chemoembolization.

Authors:  Lucas C Adam; Lynn J Savic; Julius Chapiro; Brian Letzen; MingDe Lin; Christos Georgiades; Kelvin K Hong; Nariman Nezami
Journal:  Clin Imaging       Date:  2022-06-26       Impact factor: 2.420

4.  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

5.  Predicting Treatment Response to Intra-arterial Therapies for Hepatocellular Carcinoma with the Use of Supervised Machine Learning-An Artificial Intelligence Concept.

Authors:  Aaron Abajian; Nikitha Murali; Lynn Jeanette Savic; Fabian Max Laage-Gaupp; Nariman Nezami; James S Duncan; Todd Schlachter; MingDe Lin; Jean-François Geschwind; Julius Chapiro
Journal:  J Vasc Interv Radiol       Date:  2018-03-14       Impact factor: 3.464

Review 6.  Volumetric analysis at abdominal CT: oncologic and non-oncologic applications.

Authors:  Virginia B Planz; Meghan G Lubner; Perry J Pickhardt
Journal:  Br J Radiol       Date:  2018-11-30       Impact factor: 3.039

Review 7.  Liver transarterial embolizations in metastatic neuroendocrine tumors.

Authors:  Louis de Mestier; Magaly Zappa; Olivia Hentic; Valérie Vilgrain; Philippe Ruszniewski
Journal:  Rev Endocr Metab Disord       Date:  2017-12       Impact factor: 6.514

8.  Lipiodol Deposition and Washout in Primary and Metastatic Liver Tumors After Chemoembolization.

Authors:  Nariman Nezami; Johanna Maria Mijntje VAN Breugel; Menelaos Konstantinidis; Julius Chapiro; Lynn Jeanette Savic; Milena Anna Miszczuk; Irvin Rexha; Mingde Lin; Kelvin Hong; Christos Georgiades
Journal:  In Vivo       Date:  2021 Nov-Dec       Impact factor: 2.155

Review 9.  Liver-Directed Therapies for Neuroendocrine Neoplasms.

Authors:  Ashley Kieran Clift; Andrea Frilling
Journal:  Curr Oncol Rep       Date:  2021-03-15       Impact factor: 5.075

10.  Identifying enhancement-based staging markers on baseline MRI in patients with colorectal cancer liver metastases undergoing intra-arterial tumor therapy.

Authors:  Mansur A Ghani; Arash Fereydooni; Evan Chen; Brian Letzen; Fabian Laage-Gaupp; Nariman Nezami; Yanhong Deng; Geliang Gan; Vinayak Thakur; MingDe Lin; Xenophon Papademetris; Ruediger E Schernthaner; Steffen Huber; Julius Chapiro; Kelvin Hong; Christos Georgiades
Journal:  Eur Radiol       Date:  2021-06-01       Impact factor: 5.315

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