Literature DB >> 1439017

Receiver operating characteristic curves: a basic understanding.

D J Vining1, G W Gladish.   

Abstract

Receiver operating characteristic (ROC) is one form of an objective measurement that can be used to compare newer imaging technologies against human observer performance (the ability of the expert radiologist). Use of ROC curves allows one to account for a continuum of radiologic interpretations when calculating sensitivity and specificity for an imaging modality and avoids the inaccuracies that arise from assuming that imaging findings are absolutely normal or abnormal. An ROC curve is generated by plotting sensitivity on the y axis as a function of [1-specificity] on the x axis for a continuum of diagnostic criteria. ROC curves allow visual analysis of the trade offs between the sensitivity and the specificity of a test with regard to the variable diagnostic criteria used by radiologists. Because ROC curve analysis is gaining wide acceptance in medical literature, an explanation of ROC methods with the use of simple examples is necessary to increase the knowledge and understanding of practicing radiologists.

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Year:  1992        PMID: 1439017     DOI: 10.1148/radiographics.12.6.1439017

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  10 in total

1.  Consensus or data-derived anatomical severity scoring?

Authors:  Lynne Moore; André Lavoie; Natalie Le Sage; Eric Bergeron
Journal:  Annu Proc Assoc Adv Automot Med       Date:  2006

2.  Using electronic medical records to determine the diagnosis of clinical depression.

Authors:  Nhi-Ha T Trinh; Soo Jeong Youn; Jessica Sousa; Susan Regan; C Andres Bedoya; Trina E Chang; Maurizio Fava; Albert Yeung
Journal:  Int J Med Inform       Date:  2011-04-22       Impact factor: 4.046

3.  The Disablement in the Physically Active Scale, part II: the psychometric properties of an outcomes scale for musculoskeletal injuries.

Authors:  Luzita I Vela; Craig R Denegar
Journal:  J Athl Train       Date:  2010 Nov-Dec       Impact factor: 2.860

4.  GP73 is a potential marker for evaluating AIDS progression and antiretroviral therapy efficacy.

Authors:  Hongshan Wei; Xiaohua Hao; Boan Li; Xingwang Li; Jun Hou; Yong Qiao; Renwen Zhang; Xin Li
Journal:  Mol Biol Rep       Date:  2013-09-26       Impact factor: 2.316

5.  Using Electronic Medical Record to Identify Patients With Dyslipidemia in Primary Care Settings: International Classification of Disease Code Matters From One Region to a National Database.

Authors:  Justin Oake; Erfan Aref-Eshghi; Marshall Godwin; Kayla Collins; Kris Aubrey-Bassler; Pauline Duke; Masoud Mahdavian; Shabnam Asghari
Journal:  Biomed Inform Insights       Date:  2017-02-10

6.  Disablement in the Physically Active Scale Short Form-8: psychometric evaluation.

Authors:  Madeline P Casanova; Megan C Nelson; Michael A Pickering; Lindsay W Larkins; Karen M Appleby; Emma J Grindley; Russell T Baker
Journal:  BMC Sports Sci Med Rehabil       Date:  2021-12-14

7.  Application of risk assessment tools to predict opioid usage after shoulder surgery.

Authors:  Laila H Khoury; Josh Stephens; Shimron Brown; Kiran Chatha; Sarah Girshfeld; Juan Manuel Lozano Leon; Alessia Lavin; Vani J Sabesan
Journal:  JSES Int       Date:  2022-07-03

8.  Classification of Mental Stress Using CNN-LSTM Algorithms with Electrocardiogram Signals.

Authors:  Mingu Kang; Siho Shin; Jaehyo Jung; Youn Tae Kim
Journal:  J Healthc Eng       Date:  2021-06-04       Impact factor: 2.682

9.  Longitudinal changes in DTI parameters of specific spinal white matter tracts correlate with behavior following spinal cord injury in monkeys.

Authors:  Arabinda Mishra; Feng Wang; Li Min Chen; John C Gore
Journal:  Sci Rep       Date:  2020-10-14       Impact factor: 4.379

10.  Variations in tissue optical parameters with the incident power of an infrared laser.

Authors:  Omnia Hamdy; Haitham S Mohammed
Journal:  PLoS One       Date:  2022-01-31       Impact factor: 3.240

  10 in total

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