J Biomed Inform - Recommendations for research design and reporting in computer-assisted diagnosis to facilitate meta-analysis.

Tópicos

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Resumo

Computer-assisted diagnosis (CAD) describes a diverse, heterogeneous range of applications rather than a single entity. The aims and functions of CAD systems vary considerably and comparing studies and systems is challenging due to methodological and design differences. In addition, poor study quality and reporting can reduce the value of some publications. Meta-analyses of CAD are therefore difficult and may not provide reliable conclusions. Aiming to determine the major sources of heterogeneity and thereby what CAD researchers could change to allow this sort of assessment, this study reviews a sample of 147 papers concerning CAD used with imaging for cancer diagnosis. It discusses sources of variability, including the goal of the CAD system, learning methodology, study population, design, outcome measures, inclusion of radiologists, and study quality. Based upon this evidence, recommendations are made to help researchers optimize the quality and comparability of their trial design and reporting.

Resumo Limpo

computerassist diagnosi cad describ divers heterogen rang applic rather singl entiti aim function cad system vari consider compar studi system challeng due methodolog design differ addit poor studi qualiti report can reduc valu public metaanalys cad therefor difficult may provid reliabl conclus aim determin major sourc heterogen therebi cad research chang allow sort assess studi review sampl paper concern cad use imag cancer diagnosi discuss sourc variabl includ goal cad system learn methodolog studi popul design outcom measur inclus radiologist studi qualiti base upon evid recommend made help research optim qualiti compar trial design report

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