Literature DB >> 29622072

Missed Lung Cancer.

Rydhwana Hossain1, Carol C Wu2, Patricia M de Groot2, Brett W Carter2, Matthew D Gilman1, Gerald F Abbott3.   

Abstract

The chest radiograph is one of the most commonly used imaging studies and is the modality of choice for initial evaluation of many common clinical scenarios. Over the last two decades, chest computed tomography has been increasingly used for a wide variety of indications, including respiratory illnesses, trauma, oncologic staging, and more recently lung cancer screening. Diagnostic radiologists should be familiar with the common causes of missed lung cancers on imaging studies in order to avoid detection and interpretation errors. Failure to detect these lesions can potentially have serious implications for both patients as well as the interpreting radiologist.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chest radiography; Computed tomography; Lung cancer; Lung nodule; Observer performance

Mesh:

Year:  2018        PMID: 29622072     DOI: 10.1016/j.rcl.2018.01.004

Source DB:  PubMed          Journal:  Radiol Clin North Am        ISSN: 0033-8389            Impact factor:   2.303


  2 in total

1.  Undetected Lung Cancer at Posteroanterior Chest Radiography: Potential Role of a Deep Learning-based Detection Algorithm.

Authors:  Ju Gang Nam; Eui Jin Hwang; Da Som Kim; Seung-Jin Yoo; Hyewon Choi; Jin Mo Goo; Chang Min Park
Journal:  Radiol Cardiothorac Imaging       Date:  2020-12-10

2.  Evaluating a Fully Automated Pulmonary Nodule Detection Approach and Its Impact on Radiologist Performance.

Authors:  Kai Liu; Qiong Li; Jiechao Ma; Zijian Zhou; Mengmeng Sun; Yufeng Deng; Wenting Tu; Yun Wang; Li Fan; Chen Xia; Yi Xiao; Rongguo Zhang; Shiyuan Liu
Journal:  Radiol Artif Intell       Date:  2019-05-29
  2 in total

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