Tumor response assessment: comparison between unstructured free text reporting in routine clinical workflow and computer-aided evaluation based on RECIST 1.1 criteria

Autor: Julia Hoischen, Carolin Gramsch, Haemi P. Schemuth, Lale Umutlu, Juliane Goebel, Kai Nassenstein, Andreas-Claudius Hoffmann
Rok vydání: 2017
Předmět:
Zdroj: Journal of Cancer Research and Clinical Oncology. 143:2527-2533
ISSN: 1432-1335
0171-5216
DOI: 10.1007/s00432-017-2488-1
Popis: Standardized computer-aided tumor response assessment is common in clinical trials. In contrast, unstructured free text reporting (UFTR) is common in daily routine. Therefore, this study aimed to discern and quantify differences between UFTR and computer-aided standardized tumor response evaluation based on RECIST 1.1 criteria (RECIST), serving as gold standard, in clinical workflow. One-hundred consecutive patients with cancer eligible for RECIST 1.1 evaluation, who received five follow-up CTs of the trunk, were retrospectively included. All UFTRs were assigned to RECIST response categories [complete response, partial response (PR), stable disease (SD), progressive disease (PD)]. All CTs were re-evaluated using dedicated software (mint lesion™) applying RECIST 1.1. The accordance in tumor response ratings was analyzed using Cohen’s kappa. At the first follow-up, 47 cases were rated differently with an SD underrepresentation and a PR and PD overrepresentation in UFTR. In the subsequent follow-ups, categorical differences were seen in 38, 44, 37, and 44%. Accordance between UFTR and RECIST was fair to moderate (Cohen’s kappa: 0.356, 0.477, 0.390, 0.475, 0.376; always p
Databáze: OpenAIRE