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Eur J Radiol ; 118: 257-263, 2019 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-31439252

RESUMO

PURPOSE: In oncology clinical trials, nonconformity issues are frequently reported. Radiological workload is increasing, thus reducing radiologists' availability and affecting diagnostic quality. We compared performances of a standard radiological workflow (SW) and a novel "hybrid workflow" (HW). METHOD: We prospectively studied imaging data of 40 patients included in RECIST 1.1 clinical trials. Ninety-six time-points were reviewed by 7 radiologists and one trained technologist. Nonconformities using the SW were retrieved from hospital archives. For the HW, radiologists performed all baseline evaluations; the technologist made subsequent measurements. Finally, the radiologists checked the technologist's findings before confirming the evaluations. The HW enabled implementation of an electronic reporting system. An independent body compared SW and HW reading times and nonconformity occurrences. RESULTS: Using SW, 19 types of nonconformity were found: blank report (13%); unsigned report (11%); undocumented change of tumor burden (10%); undocumented new lesions (9%); missing/wrong patients' appointment dates (7%); undocumented tumor location (5%); error in tumor burden change (5%). SW and HW nonconformities affected 55% (179/323) and 5% (2/40) of reports, respectively (p < 0.001). HW nonconformities were: one inaccurate login name was used on the platform, and one erroneous time-point number. On average, SW required 11'30″ [10'06″; 13'20″] per time-point. HW required 1'35″ [40″; 5'08″] for radiologists, and 12'18″ [11'12″; 14'18″] for the technologist. CONCLUSIONS: HW significantly reduced the number of trial nonconformities and saved 87% of radiologists' time while enabling them to apply their expertise to final decisions. HW could offer an effective opportunity for cost reduction associated with improved imaging trial quality.


Assuntos
Ensaios Clínicos como Assunto/estatística & dados numéricos , Neoplasias/terapia , Critérios de Avaliação de Resposta em Tumores Sólidos , Fluxo de Trabalho , Adulto , Idoso , Idoso de 80 Anos ou mais , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Neoplasias/patologia , Radiologistas/estatística & dados numéricos , Radiologia/estatística & dados numéricos , Sistemas de Informação em Radiologia/estatística & dados numéricos , Fatores de Tempo , Carga Tumoral , Carga de Trabalho/estatística & dados numéricos
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