Literature DB >> 27504811

The Zombie Plot: A Simple Graphic Method for Visualizing the Efficacy of a Diagnostic Test.

Michael L Richardson1.   

Abstract

OBJECTIVE: One of the most important jobs of a radiologist is to pick the most appropriate imaging test for a particular clinical situation. Making a proper selection sometimes requires statistical analysis. The objective of this article is to introduce a simple graphic technique, an ROC plot that has been divided into zones of mostly bad imaging efficacy (ZOMBIE, hereafter referred to as the "zombie plot"), that transforms information about imaging efficacy from the numeric domain into the visual domain.
CONCLUSION: The numeric rationale for the use of zombie plots is given, as are several examples of the clinical use of these plots. Two online calculators are described that simplify the process of producing a zombie plot.

Keywords:  ROC; imaging efficacy; likelihood ratio; sensitivity; specificity

Year:  2016        PMID: 27504811     DOI: 10.2214/AJR.15.15869

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Evidence-based use of clinical examination, ultrasonography, and MRI for diagnosing ulnar collateral ligament tears of the metacarpophalangeal joint of the thumb: systematic review and meta-analysis.

Authors:  Ali Rashidi; Arya Haj-Mirzaian; Danoob Dalili; Benjamin Fritz; Jan Fritz
Journal:  Eur Radiol       Date:  2021-01-18       Impact factor: 5.315

2.  Prediction of Total Knee Replacement and Diagnosis of Osteoarthritis by Using Deep Learning on Knee Radiographs: Data from the Osteoarthritis Initiative.

Authors:  Kevin Leung; Bofei Zhang; Jimin Tan; Yiqiu Shen; Krzysztof J Geras; James S Babb; Kyunghyun Cho; Gregory Chang; Cem M Deniz
Journal:  Radiology       Date:  2020-06-23       Impact factor: 11.105

3.  Diagnostic performance of CT angiography to detect pulmonary vein stenosis in children.

Authors:  Christian A Barrera; David Saul; Jordan B Rapp; Christopher L Smith; Ammie M White; David M Biko; Hansel J Otero
Journal:  Int J Cardiovasc Imaging       Date:  2019-09-09       Impact factor: 2.357

Review 4.  Imaging diagnosis for chronic lateral ankle ligament injury: a systemic review with meta-analysis.

Authors:  Shengxuan Cao; Chen Wang; Xin Ma; Xu Wang; Jiazhang Huang; Chao Zhang
Journal:  J Orthop Surg Res       Date:  2018-05-22       Impact factor: 2.359

Review 5.  Artificial intelligence for MRI diagnosis of joints: a scoping review of the current state-of-the-art of deep learning-based approaches.

Authors:  Benjamin Fritz; Jan Fritz
Journal:  Skeletal Radiol       Date:  2021-09-01       Impact factor: 2.199

  5 in total

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