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How Does Target Lesion Selection Affect RECIST? A Computer Simulation Study.

Teresa M Tareco Bucho ,
Renaud L M Tissier ,
Kevin B W Groot Lipman ,
Zuhir Bodalal ,
Andrea Delli Pizzi ,
Thi Dan Linh Nguyen-Kim ,
Regina G H Beets-Tan ,
Stefano Trebeschi

Abstract

MATERIALS AND METHODS

Disagreement among readers and the disagreement between individual reader measurements and TTB were analyzed as a function of the total number of lesions, affected organs, and lesion growth.

CONCLUSIONS

Our results demonstrate that RECIST can deliver an accurate estimate of TTB in localized disease, but fails in cases of distal metastases and multiple organ involvement. This is worsened by the "selection of the largest lesions," which introduces a bias that makes it hardly possible to perform an accurate estimate of the TTB. Including more (if not all) lesions in the quantitative analysis of tumor burden is desirable.

RESULTS

Disagreement rises when the number of lesions increases, when lesions are concentrated on a few organs, and when lesion growth borders the thresholds of progressive disease and partial response. There is an intrinsic methodological error in the estimation of TTB via RECIST 1.1, which depends on the number of lesions and their distributions. For example, for a fixed number of lesions at 5 and 15, distributed over a maximum of 4 organs, the error rates are observed to be 7.8% and 17.3%, respectively.

OBJECTIVES

Response Evaluation Criteria in Solid Tumors (RECIST) is grounded on the assumption that target lesion selection is objective and representative of the change in total tumor burden (TTB) during therapy. A computer simulation model was designed to challenge this assumption, focusing on a particular aspect of subjectivity: target lesion selection.

More about this publication

Investigative radiology

Volume 59
Issue nr. 6
Pages 465-471
Publication date 01-06-2024

Full text links

Publisher website (DOI) 10.1097/RLI.0000000000001045
Europe PubMed Central 37921780
Pubmed 37921780

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