Literature DB >> 33871762

Are recist criteria adequate in assessing the response to therapy in metastatic NEN?

Marie-Pierre Vullierme1,2, Philippe Ruszniewski3,4, Louis de Mestier3,4.   

Abstract

Response to therapy criteria, known as RECIST (Response Evaluation Criteria in Solid Tumours), are widely used to evaluate neuroendocrine tumours (NET) metastatic to the liver, under treatment. RECIST criteria does not take in account many various distinct features such as tumour growth, secretory capacity and anatomical localisation with wide variation in clinical and biological presentation of different NETs. Key features of RECIST includes definitions of the minimal size of measurable lesions, instructions on how many lesions to measure and follow, and the use of unidimensional, rather than bidimensional, measures for overall evaluation of tumour burden. These measures are currently done with computed tomography (CT) or Magnetic Resonance Imaging (MRI). RECIST criteria are accurate in assessing tumour progression but sometimes inaccurate in assessing tumour response after locoregional therapy or under molecular targeted therapy, tumour vessels being part of the target of such treatments. There is poor correlation between a so called tumour necrosis and conventional methods of response assessment, which poses questions of how best to quantify efficacy of these targeted therapies. Variations in tumour density with computed tomography (CT) could theoretically be associated with tumour necrosis. This hypothesis has been studied proposing alternative CT criteria of response evaluation in metastatic digestive NET treated with targeted therapy. If preliminary results upon the poor relationship between density measured with CT (derived from CHOI criteria) evolution curves at CT and PFS are confirmed by further studies, showing that the correlation between density changing and response to non-targeted treatment is weak, the use of contrast injection, will probably be not mandatory to enable appropriate evaluation.
© 2021. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

Entities:  

Keywords:  Computerized Tomography (CT); Liver; Magnetic Resonance Imaging (MRI); Metastases; Neuroendocrine tumour

Mesh:

Year:  2021        PMID: 33871762     DOI: 10.1007/s11154-021-09645-1

Source DB:  PubMed          Journal:  Rev Endocr Metab Disord        ISSN: 1389-9155            Impact factor:   9.306


  18 in total

1.  Neuroendocrine liver metastases: Vascular patterns on triple-phase MDCT are indicative of primary tumour location.

Authors:  Maxime Ronot; Francesco Cuccioli; Marco Dioguardi Burgio; Marie-Pierre Vullierme; Olivia Hentic; Philippe Ruszniewski; Gaspard d'Assignies; Valérie Vilgrain
Journal:  Eur J Radiol       Date:  2017-02-09       Impact factor: 3.528

2.  Are we reproducible in measurement of NET liver metastasis?

Authors:  Salma Moalla; Julia Arfi Rouche; Stéphanie Foulon; Caroline Caramella; Nils Ternes; David Planchard; Diane Goere; Michel Ducreux; Jean Yves Scoazec; Frederic Deschamps; Clarisse Dromain; Eric Baudin
Journal:  Dig Liver Dis       Date:  2017-06-28       Impact factor: 4.088

Review 3.  Morphological and Functional Imaging for Detecting and Assessing the Resectability of Neuroendocrine Liver Metastases.

Authors:  Maxime Ronot; Ashley K Clift; Richard P Baum; Aviral Singh; Harshad R Kulkarni; Andrea Frilling; Valérie Vilgrain
Journal:  Neuroendocrinology       Date:  2017-07-21       Impact factor: 4.914

4.  Hepatic metastases from neuroendocrine tumors with a "thin slice" pathological examination: they are many more than you think...

Authors:  Dominique Elias; Jérémie H Lefevre; Pierre Duvillard; Diane Goéré; Clarisse Dromain; Frédéric Dumont; Eric Baudin
Journal:  Ann Surg       Date:  2010-02       Impact factor: 12.969

5.  High sensitivity of diffusion-weighted MR imaging for the detection of liver metastases from neuroendocrine tumors: comparison with T2-weighted and dynamic gadolinium-enhanced MR imaging.

Authors:  Gaspard d'Assignies; Priscilla Fina; Onorina Bruno; Marie-Pierre Vullierme; Florence Tubach; Valérie Paradis; Alain Sauvanet; Philippe Ruszniewski; Valérie Vilgrain
Journal:  Radiology       Date:  2013-03-26       Impact factor: 11.105

Review 6.  Therapeutic monitoring of gastroenteropancreatic neuroendocrine tumors: the challenges ahead.

Authors:  Anders Sundin; Andrea Rockall
Journal:  Neuroendocrinology       Date:  2012-10-12       Impact factor: 4.914

7.  MR imaging of hepatic metastases caused by neuroendocrine tumors: comparing four techniques.

Authors:  Clarisse Dromain; Thierry de Baere; Eric Baudin; Joel Galline; Michel Ducreux; Valérie Boige; Pierre Duvillard; Agnès Laplanche; Hubert Caillet; Philippe Lasser; Martin Schlumberger; Robert Sigal
Journal:  AJR Am J Roentgenol       Date:  2003-01       Impact factor: 3.959

8.  Prognostic factors of long-term outcome in gastroenteropancreatic neuroendocrine tumours.

Authors:  Ulrich-Frank Pape; Uta Berndt; Jacqueline Müller-Nordhorn; Michael Böhmig; Stephanie Roll; Martin Koch; Stefan N Willich; Bertram Wiedenmann
Journal:  Endocr Relat Cancer       Date:  2008-07-04       Impact factor: 5.678

9.  Diffusion-weighted imaging with acquisition of three b-values for response evaluation of neuroendocrine liver metastases undergoing selective internal radiotherapy.

Authors:  Guido M Kukuk; Petra Mürtz; Frank Träber; Carsten Meyer; Jan Ullrich; Jürgen Gieseke; Hojjat Ahmadzadehfar; Samer Ezziddin; Hans H Schild; Winfried A Willinek
Journal:  Eur Radiol       Date:  2013-10-01       Impact factor: 5.315

10.  Is visual radiological evaluation of liver tumour burden in patients with neuroendocrine tumours reproducible?

Authors:  Magaly Zappa; Olivia Hentic; Marie-Pierre Vullierme; Matthieu Lagadec; Maxime Ronot; Philippe Ruszniewski; Valérie Vilgrain
Journal:  Endocr Connect       Date:  2017-01-09       Impact factor: 3.335

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