Literature DB >> 24480402

The effect of baseline morphology and its change during treatment on the accuracy of Response Evaluation Criteria in Solid Tumours in assessment of liver metastases.

Gaia Schiavon1, Alessandro Ruggiero2, Dave J Bekers3, Peter A Barry4, Stefan Sleijfer5, Jaqueline Kloth5, Gabriel P Krestin6, Patrick Schöffski7, Jaap Verweij5, Ron H J Mathijssen5.   

Abstract

PURPOSE: Tumour response assessment to therapy is crucial in oncology. We analysed the morphology of liver metastases (LM) in gastrointestinal stromal tumour (GIST) patients to determine whether uni-dimensional measurement of lesions by Response Evaluation Criteria in Solid Tumours (RECIST), accurately reflects lesion volume.
MATERIALS AND METHODS: The volumes of LM (n=139) from a GIST patient cohort were measured using computed tomography (CT) at baseline, 3, 6 and 12 months after commencement of imatinib therapy. Baseline measurements were obtained by two independent investigators and inter-observer agreement assessed using Bland-Altman plots. Actual lesion volumes (V(ACTUAL)) were measured and compared with volumes based on the RECIST measure (V(RECIST)), and with volumes based on three orthogonal measures (V(ELLIPSOID)) at several time-points.
RESULTS: At baseline, the inter-observer bias for V(ACTUAL) was just 1.8%. V(RECIST) and V(ELLIPSOID) overestimated V(ACTUAL) by a mean of 35% and only 9% respectively (P<0.0001 for both). At baseline, 44% (61/139) of LM were classified as spheroidal and 56% (78/139) as ellipsoidal. During treatment, only 42% of LM retained their original morphology. The remainder demonstrated significant changes in morphology (from spheroidal to ellipsoidal and vice versa) over time, while the RECIST measure did not reflect such changes.
CONCLUSIONS: The morphology of LM in GIST is rarely spherical (an underlying assumption for RECIST) and can change considerably during imatinib therapy. In this setting, measurements using RECIST do not reflect changes in size and morphology. Additionally, whilst V(ELLIPSOID) is a more suitable surrogate for volume estimation, it is still somewhat limited by the morphology and orientation of such lesions. Studies are warranted to further explore the clinical impact of these findings.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  3D; Elongation; GIST; Imatinib; Liver metastases; Morphology; Orientation; RECIST; Response; Volume

Mesh:

Substances:

Year:  2014        PMID: 24480402     DOI: 10.1016/j.ejca.2014.01.004

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  8 in total

1.  Accuracy and feasibility of estimated tumour volumetry in primary gastric gastrointestinal stromal tumours: validation using semiautomated technique in 127 patients.

Authors:  Sree Harsha Tirumani; Atul B Shinagare; Ailbhe C O'Neill; Mizuki Nishino; Michael H Rosenthal; Nikhil H Ramaiya
Journal:  Eur Radiol       Date:  2015-05-20       Impact factor: 5.315

Review 2.  RECIST - learning from the past to build the future.

Authors:  Saskia Litière; Sandra Collette; Elisabeth G E de Vries; Lesley Seymour; Jan Bogaerts
Journal:  Nat Rev Clin Oncol       Date:  2016-12-20       Impact factor: 66.675

Review 3.  Update on Gastrointestinal Stromal Tumors for Radiologists.

Authors:  Sree Harsha Tirumani; Akshay D Baheti; Harika Tirumani; Ailbhe O'Neill; Jyothi P Jagannathan
Journal:  Korean J Radiol       Date:  2017-01-05       Impact factor: 3.500

4.  Pharmacometric Modeling of Liver Metastases' Diameter, Volume, and Density and Their Relation to Clinical Outcome in Imatinib-Treated Patients With Gastrointestinal Stromal Tumors.

Authors:  E Schindler; S M Krishnan; Rhj Mathijssen; A Ruggiero; G Schiavon; L E Friberg
Journal:  CPT Pharmacometrics Syst Pharmacol       Date:  2017-05-30

5.  Tumour growth rate as a tool for response evaluation during PD-1 treatment for non-small cell lung cancer: a retrospective analysis.

Authors:  Deirdre M H J Ten Berge; Daniel P Hurkmans; Ilse den Besten; Jeroen S Kloover; Ron H J Mathijssen; Reno Debets; Egbert F Smit; Joachim G J V Aerts
Journal:  ERJ Open Res       Date:  2019-12-16

Review 6.  Progress in determining response to treatment in gastrointestinal stromal tumor.

Authors:  Junaid Arshad; Jibran Ahmed; Ty Subhawong; Jonathan C Trent
Journal:  Expert Rev Anticancer Ther       Date:  2020-04-12       Impact factor: 3.627

7.  Predicting Chemotherapeutic Response for Far-advanced Gastric Cancer by Radiomics with Deep Learning Semi-automatic Segmentation.

Authors:  Jing-Wen Tan; Lan Wang; Yong Chen; WenQi Xi; Jun Ji; Lingyun Wang; Xin Xu; Long-Kuan Zou; Jian-Xing Feng; Jun Zhang; Huan Zhang
Journal:  J Cancer       Date:  2020-10-18       Impact factor: 4.207

Review 8.  Imaging therapy response of gastrointestinal stromal tumors (GIST) with FDG PET, CT and MRI: a systematic review.

Authors:  Antonia Dimitrakopoulou-Strauss; Ulrich Ronellenfitsch; Caixia Cheng; Leyun Pan; Christos Sachpekidis; Peter Hohenberger; Thomas Henzler
Journal:  Clin Transl Imaging       Date:  2017-05-03
  8 in total

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