Literature DB >> 26687017

Observer variability in RECIST-based tumour burden measurements: a meta-analysis.

Soon Ho Yoon1, Kyung Won Kim2, Jin Mo Goo3, Dong-Wan Kim4, Seokyung Hahn5.   

Abstract

BACKGROUND: Response Evaluation Criteria in Solid Tumours (RECIST)-based tumour burden measurements involve observer variability, the extent of which ought to be determined.
METHODS: A literature search identified studies on observer variability during manual measurements of tumour burdens via computed tomography according to the RECIST guideline. The 95% limit of agreement (LOA) values of relative measurement difference (RMD) were pooled using a random-effects model.
RESULTS: Twelve studies were included. Pooled 95% LOAs of RMD in measuring unidimensional longest diameters of single lesions ranged from -22.1% (95% confidence interval [CI], -30.3% to -14.0%) to 25.4% (95% CI, 17.2% to 33.5%) between observers and -17.8% (95% CI, -23.6% to -11.9%) to 16.1% (95% CI, 10.1% to 21.8%) for a single observer. Pooled 95% LOAs of RMD in measuring the sum of multiple lesions ranged from -19.2% (95% CI, -23.7% to -14.9%) to 19.5% (95% CI, 15.2% to 23.9%) between observers, and -9.8% (95% CI, -19.0% to -0.3%) to 13.1% (95% CI, 3.6% to 22.6%) for a single observer. Pooled 95% LOA of RMD in calculating the interval change of tumour burden with a single lesion ranged from -31.3% (95% CI, -46.0% to -16.5%) to 30.3% (95% CI, 15.3% to 44.8%) between observers. Studies on calculating the interval change of tumour burden for a single observer or with multiple lesions were lacking.
CONCLUSION: Interobserver RMD in measuring single tumour burden and calculating its interval change may exceed the 20% cut-off for progression. Variability decreased when tumour burden was measured by a single observer or assessed by the sum of multiple lesions.
Copyright © 2015 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Measurement; Meta-analysis; Observer variation; Response Evaluation Criteria in Solid Tumours; Tumour burden

Mesh:

Year:  2015        PMID: 26687017     DOI: 10.1016/j.ejca.2015.10.014

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


  17 in total

1.  Multi-objective Parameter Auto-tuning for Tissue Image Segmentation Workflows.

Authors:  Luis F R Taveira; Tahsin Kurc; Alba C M A Melo; Jun Kong; Erich Bremer; Joel H Saltz; George Teodoro
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

Review 2.  Pulmonary imaging after stereotactic radiotherapy-does RECIST still apply?

Authors:  Sarah A Mattonen; Aaron D Ward; David A Palma
Journal:  Br J Radiol       Date:  2016-06-20       Impact factor: 3.039

3.  Volumetric MRI Analysis of Plexiform Neurofibromas in Neurofibromatosis Type 1: Comparison of Two Methods.

Authors:  Wenli Cai; Seth M Steinberg; Miriam A Bredella; Gina Basinsky; Bhanusupriya Somarouthu; Scott R Plotkin; Jeffrey Solomon; Brigitte C Widemann; Gordon J Harris; Eva Dombi
Journal:  Acad Radiol       Date:  2017-10-31       Impact factor: 3.173

4.  Excellent outcome of young children with nodular desmoplastic medulloblastoma treated on "Head Start" III: a multi-institutional, prospective clinical trial.

Authors:  Girish Dhall; Sharon H O'Neil; Lingyun Ji; Kelley Haley; Ashley M Whitaker; Marvin D Nelson; Floyd Gilles; Sharon L Gardner; Jeffrey C Allen; Albert S Cornelius; Kamnesh Pradhan; James H Garvin; Randal S Olshefski; Juliette Hukin; Melanie Comito; Stewart Goldman; Mark P Atlas; Andrew W Walter; Stephen Sands; Richard Sposto; Jonathan L Finlay
Journal:  Neuro Oncol       Date:  2020-12-18       Impact factor: 12.300

5.  Interobserver Variability in CT-based Morphologic Tumor Response Assessment of Colorectal Liver Metastases.

Authors:  Nina J Wesdorp; Ruby Kemna; Jaap Stoker; Geert Kazemier; Karen Bolhuis; Jan H T M van Waesberghe; Irene M G C Nota; Femke Struik; Ikrame Oulad Abdennabi; Saffire S K S Phoa; Susan van Dieren; Martinus J van Amerongen; Thiery Chapelle; Cornelis H C Dejong; Marc R W Engelbrecht; Michael F Gerhards; Dirk Grünhagen; Thomas M van Gulik; John J Hermans; Koert P de Jong; Joost M Klaase; Mike S L Liem; Krijn P van Lienden; I Quintus Molenaar; Gijs A Patijn; Arjen M Rijken; Theo M Ruers; Cornelis Verhoef; Johannes H W de Wilt; Rutger-Jan Swijnenburg; Cornelis J A Punt; Joost Huiskens
Journal:  Radiol Imaging Cancer       Date:  2022-05

6.  Precision of manual two-dimensional segmentations of lung and liver metastases and its impact on tumour response assessment using RECIST 1.1.

Authors:  F H Cornelis; M Martin; O Saut; X Buy; M Kind; J Palussiere; T Colin
Journal:  Eur Radiol Exp       Date:  2017-10-30

7.  Discrepancies of assessments in a RECIST 1.1 phase II clinical trial - association between adjudication rate and variability in images and tumors selection.

Authors:  Hubert Beaumont; Tracey L Evans; Catherine Klifa; Ali Guermazi; Sae Rom Hong; Mustapha Chadjaa; Zsuzsanna Monostori
Journal:  Cancer Imaging       Date:  2018-12-11       Impact factor: 3.909

8.  Development of an algorithm for evaluating the impact of measurement variability on response categorization in oncology trials.

Authors:  Jeong-Hwa Yoon; Soon Ho Yoon; Seokyung Hahn
Journal:  BMC Med Res Methodol       Date:  2019-05-02       Impact factor: 4.615

Review 9.  Imaging biomarkers for evaluating tumor response: RECIST and beyond.

Authors:  Ching-Chung Ko; Lee-Ren Yeh; Yu-Ting Kuo; Jeon-Hor Chen
Journal:  Biomark Res       Date:  2021-07-02

10.  Impact of tumour size measurement inter-operator variability on model-based drug effect evaluation.

Authors:  Aurélie Lombard; Hitesh Mistry; Sonya C Chapman; Ivelina Gueoguieva; Leon Aarons; Kayode Ogungbenro
Journal:  Cancer Chemother Pharmacol       Date:  2020-03-13       Impact factor: 3.333

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