Literature DB >> 17418527

CAD in clinical trials: current role and architectural requirements.

Matthew S Brown1, Michael F McNitt-Gray, Richard Pais, Sumit K Shah, Peiyuan Qing, Irene Da Costa, Denise R Aberle, Jonathan G Goldin.   

Abstract

Computer-aided diagnosis (CAD) technology is becoming an important tool to assess treatment response in clinical trials. However, CAD software alone is not sufficient to conduct an imaging-based clinical trial. There are a number of architectural requirements such as image receive (from multiple field sites), a database for storing quantitative measures, and data mining and reporting capabilities. In this paper we describe the architectural requirements to incorporate CAD into clinical trials and illustrate their functionality in therapeutic trials for emphysema.

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Year:  2007        PMID： 17418527     DOI： 10.1016/j.compmedimag.2007.02.014

Source DB:  PubMed          Journal:  Comput Med Imaging Graph        ISSN： 0895-6111            Impact factor:   4.790


  5 in total

1.  Reproducibility of volume and densitometric measures of emphysema on repeat computed tomography with an interval of 1 week.

Authors:  Daniel Chong; Matthew S Brown; Hyun J Kim; Eva M van Rikxoort; Laura Guzman; Michael F McNitt-Gray; Maryam Khatonabadi; Maya Galperin-Aizenberg; Heidi Coy; Katherine Yang; Yongha Jung; Jonathan G Goldin
Journal:  Eur Radiol       Date:  2011-10-20       Impact factor: 5.315

2.  A knowledge-anchored integrative image search and retrieval system.

Authors:  Selnur Erdal; Umit V Catalyurek; Philip R O Payne; Joel Saltz; Jyoti Kamal; Metin N Gurcan
Journal:  J Digit Imaging       Date:  2007-11-27       Impact factor: 4.056

3.  Efficacy of computer aided analysis in detection of significant coronary artery stenosis in cardiac using dual source computed tomography.

Authors:  Anja J Reimann; Ilias Tsiflikas; Harald Brodoefel; Michael Scheuering; Daniel Rinck; Andreas F Kopp; Claus D Claussen; Martin Heuschmid
Journal:  Int J Cardiovasc Imaging       Date:  2008-09-28       Impact factor: 2.357

4.  Semi-automated pulmonary nodule interval segmentation using the NLST data.

Authors:  Yoganand Balagurunathan; Andrew Beers; Jayashree Kalpathy-Cramer; Michael McNitt-Gray; Lubomir Hadjiiski; Bensheng Zhao; Jiangguo Zhu; Hao Yang; Stephen S F Yip; Hugo J W L Aerts; Sandy Napel; Dmitrii Cherezov; Kenny Cha; Heang-Ping Chan; Carlos Flores; Alberto Garcia; Robert Gillies; Dmitry Goldgof
Journal:  Med Phys       Date:  2018-02-19       Impact factor: 4.071

5.  Standardization in Quantitative Imaging: A Multicenter Comparison of Radiomic Features from Different Software Packages on Digital Reference Objects and Patient Data Sets.

Authors:  M McNitt-Gray; S Napel; A Jaggi; S A Mattonen; L Hadjiiski; M Muzi; D Goldgof; Y Balagurunathan; L A Pierce; P E Kinahan; E F Jones; A Nguyen; A Virkud; H P Chan; N Emaminejad; M Wahi-Anwar; M Daly; M Abdalah; H Yang; L Lu; W Lv; A Rahmim; A Gastounioti; S Pati; S Bakas; D Kontos; B Zhao; J Kalpathy-Cramer; K Farahani
Journal:  Tomography       Date:  2020-06
  5 in total

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