Literature DB >> 18754000

The Reference Image Database to Evaluate Response to therapy in lung cancer (RIDER) project: a resource for the development of change-analysis software.

S G Armato1, C R Meyer, M F Mcnitt-Gray, G McLennan, A P Reeves, B Y Croft, L P Clarke.   

Abstract

Critical to the clinical evaluation of effective novel therapies for lung cancer is the early and accurate determination of tumor response, which requires an understanding of the sources of uncertainty in tumor measurement and subsequent attempts to minimize their effects on the assessment of the therapeutic agent. The Reference Image Database to Evaluate Response (RIDER) project seeks to develop a consensus approach to the optimization and benchmarking of software tools for the assessment of tumor response to therapy and to provide a publicly available database of serial images acquired during lung cancer drug and radiation therapy trials. Images of phantoms and patient images acquired under situations in which tumor size or biology is known to be unchanged also will be provided. The RIDER project will create standardized methods for benchmarking software tools to reduce sources of uncertainty in vital clinical assessments such as whether a specific tumor is responding to therapy.

Entities:  

Mesh:

Year:  2008        PMID: 18754000      PMCID: PMC4938843          DOI: 10.1038/clpt.2008.161

Source DB:  PubMed          Journal:  Clin Pharmacol Ther        ISSN: 0009-9236            Impact factor:   6.875


  21 in total

1.  New guidelines to evaluate the response to treatment in solid tumors. European Organization for Research and Treatment of Cancer, National Cancer Institute of the United States, National Cancer Institute of Canada.

Authors:  P Therasse; S G Arbuck; E A Eisenhauer; J Wanders; R S Kaplan; L Rubinstein; J Verweij; M Van Glabbeke; A T van Oosterom; M C Christian; S G Gwyther
Journal:  J Natl Cancer Inst       Date:  2000-02-02       Impact factor: 13.506

2.  Economic, legal, and ethical rationales for the ACRIN national lung screening trial of CT screening for lung cancer.

Authors:  Bruce J Hillman
Journal:  Acad Radiol       Date:  2003-03       Impact factor: 3.173

3.  Early lung cancer action project: initial findings on repeat screenings.

Authors:  C I Henschke; D P Naidich; D F Yankelevitz; G McGuinness; D I McCauley; J P Smith; D Libby; M Pasmantier; M Vazquez; J Koizumi; D Flieder; N Altorki; O S Miettinen
Journal:  Cancer       Date:  2001-07-01       Impact factor: 6.860

4.  Evaluation of lung MDCT nodule annotation across radiologists and methods.

Authors:  Charles R Meyer; Timothy D Johnson; Geoffrey McLennan; Denise R Aberle; Ella A Kazerooni; Heber Macmahon; Brian F Mullan; David F Yankelevitz; Edwin J R van Beek; Samuel G Armato; Michael F McNitt-Gray; Anthony P Reeves; David Gur; Claudia I Henschke; Eric A Hoffman; Peyton H Bland; Gary Laderach; Richie Pais; David Qing; Chris Piker; Junfeng Guo; Adam Starkey; Daniel Max; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2006-10       Impact factor: 3.173

5.  The Lung Image Database Consortium (LIDC) data collection process for nodule detection and annotation.

Authors:  Michael F McNitt-Gray; Samuel G Armato; Charles R Meyer; Anthony P Reeves; Geoffrey McLennan; Richie C Pais; John Freymann; Matthew S Brown; Roger M Engelmann; Peyton H Bland; Gary E Laderach; Chris Piker; Junfeng Guo; Zaid Towfic; David P-Y Qing; David F Yankelevitz; Denise R Aberle; Edwin J R van Beek; Heber MacMahon; Ella A Kazerooni; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2007-12       Impact factor: 3.173

6.  The Lung Image Database Consortium (LIDC): a comparison of different size metrics for pulmonary nodule measurements.

Authors:  Anthony P Reeves; Alberto M Biancardi; Tatiyana V Apanasovich; Charles R Meyer; Heber MacMahon; Edwin J R van Beek; Ella A Kazerooni; David Yankelevitz; Michael F McNitt-Gray; Geoffrey McLennan; Samuel G Armato; Claudia I Henschke; Denise R Aberle; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2007-12       Impact factor: 3.173

7.  The Lung Image Database Consortium (LIDC): an evaluation of radiologist variability in the identification of lung nodules on CT scans.

Authors:  Samuel G Armato; Michael F McNitt-Gray; Anthony P Reeves; Charles R Meyer; Geoffrey McLennan; Denise R Aberle; Ella A Kazerooni; Heber MacMahon; Edwin J R van Beek; David Yankelevitz; Eric A Hoffman; Claudia I Henschke; Rachael Y Roberts; Matthew S Brown; Roger M Engelmann; Richard C Pais; Christopher W Piker; David Qing; Masha Kocherginsky; Barbara Y Croft; Laurence P Clarke
Journal:  Acad Radiol       Date:  2007-11       Impact factor: 3.173

8.  Lung cancer screening with CT: Mayo Clinic experience.

Authors:  Stephen J Swensen; James R Jett; Thomas E Hartman; David E Midthun; Jeff A Sloan; Anne-Marie Sykes; Gregory L Aughenbaugh; Medy A Clemens
Journal:  Radiology       Date:  2003-01-24       Impact factor: 11.105

9.  Variability in response assessment in solid tumors: effect of number of lesions chosen for measurement.

Authors:  Lawrence H Schwartz; Madhu Mazumdar; Wendy Brown; Alex Smith; David M Panicek
Journal:  Clin Cancer Res       Date:  2003-10-01       Impact factor: 12.531

10.  Results of three-year mass screening programme for lung cancer using mobile low-dose spiral computed tomography scanner.

Authors:  S Sone; F Li; Z G Yang; T Honda; Y Maruyama; S Takashima; M Hasegawa; S Kawakami; K Kubo; M Haniuda; T Yamanda
Journal:  Br J Cancer       Date:  2001-01-05       Impact factor: 7.640

View more
  30 in total

1.  Quantitative imaging for evaluation of response to cancer therapy.

Authors:  Laurence P Clarke; Barbara S Croft; Robert Nordstrom; Huiming Zhang; Gary Kelloff; J Tatum
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

2.  Investigating the Robustness Neighborhood Gray Tone Difference Matrix and Gray Level Co-occurrence Matrix Radiomic Features on Clinical Computed Tomography Systems Using Anthropomorphic Phantoms: Evidence From a Multivendor Study.

Authors:  Usman Mahmood; Aditya P Apte; Joseph O Deasy; C Ross Schmidtlein; Amita Shukla-Dave
Journal:  J Comput Assist Tomogr       Date:  2017 Nov/Dec       Impact factor: 1.826

3.  Special Section Guest Editorial: Quantitative Imaging and the Pioneering Efforts of Laurence P. Clarke.

Authors:  Robert J Nordstrom
Journal:  J Med Imaging (Bellingham)       Date:  2017-09-13

Review 4.  Radiomics: the process and the challenges.

Authors:  Virendra Kumar; Yuhua Gu; Satrajit Basu; Anders Berglund; Steven A Eschrich; Matthew B Schabath; Kenneth Forster; Hugo J W L Aerts; Andre Dekker; David Fenstermacher; Dmitry B Goldgof; Lawrence O Hall; Philippe Lambin; Yoganand Balagurunathan; Robert A Gatenby; Robert J Gillies
Journal:  Magn Reson Imaging       Date:  2012-08-13       Impact factor: 2.546

5.  High quality machine-robust image features: identification in nonsmall cell lung cancer computed tomography images.

Authors:  Luke A Hunter; Shane Krafft; Francesco Stingo; Haesun Choi; Mary K Martel; Stephen F Kry; Laurence E Court
Journal:  Med Phys       Date:  2013-12       Impact factor: 4.071

6.  Reproducibility and Prognosis of Quantitative Features Extracted from CT Images.

Authors:  Yoganand Balagurunathan; Yuhua Gu; Hua Wang; Virendra Kumar; Olya Grove; Sam Hawkins; Jongphil Kim; Dmitry B Goldgof; Lawrence O Hall; Robert A Gatenby; Robert J Gillies
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

7.  Quantitative Imaging Network: Data Sharing and Competitive AlgorithmValidation Leveraging The Cancer Imaging Archive.

Authors:  Jayashree Kalpathy-Cramer; John Blake Freymann; Justin Stephen Kirby; Paul Eugene Kinahan; Fred William Prior
Journal:  Transl Oncol       Date:  2014-02-01       Impact factor: 4.243

8.  Quantitative imaging to assess tumor response to therapy: common themes of measurement, truth data, and error sources.

Authors:  Charles R Meyer; Samuel G Armato; Charles P Fenimore; Geoffrey McLennan; Luc M Bidaut; Daniel P Barboriak; Marios A Gavrielides; Edward F Jackson; Michael F McNitt-Gray; Paul E Kinahan; Nicholas Petrick; Binsheng Zhao
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

9.  Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error.

Authors:  Michael F McNitt-Gray; Luc M Bidaut; Samuel G Armato; Charles R Meyer; Marios A Gavrielides; Charles Fenimore; Geoffrey McLennan; Nicholas Petrick; Binsheng Zhao; Anthony P Reeves; Reinhard Beichel; Hyun-Jung Grace Kim; Lisa Kinnard
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

10.  Applications of the repeatability of quantitative imaging biomarkers: a review of statistical analysis of repeat data sets.

Authors:  Huiman X Barnhart; Daniel P Barboriak
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.