Literature DB >> 22315122

Interpretation of plain chest roentgenogram.

Suhail Raoof1, David Feigin2, Arthur Sung3, Sabiha Raoof4, Lavanya Irugulpati5, Edward C Rosenow6.   

Abstract

Plain chest roentgenogram remains the most commonly ordered screening test for pulmonary disorders. Its lower sensitivity demands greater accuracy in interpretation. This greater accuracy can be achieved by adhering to an optimal and organized approach to interpretation. It is important for clinicians not to misread an abnormal chest radiograph (CXR) as normal. Clinicians can only acquire the confidence in making this determination if they read hundreds of normal CXRs. An individual should follow the same systematic approach to reading CXRs each time. All clinicians must make a concerted effort to read plain CXRs themselves first without reading the radiologist report and then discuss the findings with their radiology colleagues. Looking at the lateral CXR may shed light on 15% of the lung that is hidden from view on the posteroanterior film. Comparing prior films with the recent films is mandatory, when available, to confirm and/or extend differential diagnosis. This article outlines one of the many systematic approaches to interpreting CXRs and highlights the lesions that are commonly missed. A brief description of the limitations of CXR is also included.

Entities:  

Mesh:

Year:  2012        PMID: 22315122     DOI: 10.1378/chest.10-1302

Source DB:  PubMed          Journal:  Chest        ISSN: 0012-3692            Impact factor:   9.410


  32 in total

1.  Generalizable Inter-Institutional Classification of Abnormal Chest Radiographs Using Efficient Convolutional Neural Networks.

Authors:  Ian Pan; Saurabh Agarwal; Derek Merck
Journal:  J Digit Imaging       Date:  2019-10       Impact factor: 4.056

2.  Lung Ultrasound is Comparable with Chest Roentgenogram for Diagnosis of Community-Acquired Pneumonia in Hospitalised Children.

Authors:  Krishna Kumar Yadav; Shally Awasthi; Anit Parihar
Journal:  Indian J Pediatr       Date:  2017-03-24       Impact factor: 1.967

3.  [Chest x-ray: from black and white imaging to diagnosis].

Authors:  Elena Nelles; Lars Kamper; Patrick Haage
Journal:  MMW Fortschr Med       Date:  2022-05

4.  Using Artificial Intelligence to Establish Chest X-Ray Image Recognition Model to Assist Crucial Diagnosis in Elder Patients With Dyspnea.

Authors:  Liu Liong-Rung; Chiu Hung-Wen; Huang Ming-Yuan; Huang Shu-Tien; Tsai Ming-Feng; Chang Chia-Yu; Chang Kuo-Song
Journal:  Front Med (Lausanne)       Date:  2022-06-03

5.  Optimal chin-brow vertical angle for sagittal visual fields in ankylosing spondylitis kyphosis.

Authors:  Kai Song; Xiaojing Su; Yonggang Zhang; Chao Liu; Xiangyu Tang; Guoying Zhang; Guoquan Zheng; Geng Cui; Xuesong Zhang; Keya Mao; Zheng Wang; Yan Wang
Journal:  Eur Spine J       Date:  2016-05-04       Impact factor: 3.134

6.  Hilus pulmonis as the center of gravity for AS thoracolumbar kyphosis.

Authors:  Kai Song; Guoquan Zheng; Yonggang Zhang; Geng Cui; Xuesong Zhang; Keya Mao; Yan Wang
Journal:  Eur Spine J       Date:  2013-12-31       Impact factor: 3.134

7.  Image interpretation: Learning analytics-informed education opportunities.

Authors:  Elana Thau; Manuela Perez; Martin V Pusic; Martin Pecaric; David Rizzuti; Kathy Boutis
Journal:  AEM Educ Train       Date:  2021-04-01

8.  Acute shortness of breath in an adult.

Authors:  Haley Ringwood; Morteza Khodaee; Darcy K Selenke
Journal:  Asian J Sports Med       Date:  2014-11-10

9.  Augmenting Interpretation of Chest Radiographs With Deep Learning Probability Maps.

Authors:  Brian Hurt; Andrew Yen; Seth Kligerman; Albert Hsiao
Journal:  J Thorac Imaging       Date:  2020-09       Impact factor: 5.528

10.  Ultrasound detection of pneumonia in febrile children with respiratory distress: a prospective study.

Authors:  Mattia Guerra; Giovanni Crichiutti; Paolo Pecile; Carla Romanello; Eva Busolini; Francesca Valent; Angelo Rosolen
Journal:  Eur J Pediatr       Date:  2015-08-19       Impact factor: 3.183

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