Literature DB >> 22824118

Missed lung cancer on chest radiography and computed tomography.

Mahmoudreza Fardanesh1, Charles White.   

Abstract

Missed lung cancer raises an important medicolegal issue and contributes to one of the most common causes for malpractice actions against radiologists. Lung cancer may be missed on either chest radiography or computed tomography. Although most malpractice cases involve lesions overlooked on the former, a small and increasing portion of cases are related to chest computed tomography scan. Factors contributing to overlooked lung cancer can be attributed to observer performance, lesion characteristics, and technical considerations.
Copyright © 2012 Elsevier Inc. All rights reserved.

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Year:  2012        PMID： 22824118     DOI： 10.1053/j.sult.2012.01.006

Source DB:  PubMed          Journal:  Semin Ultrasound CT MR        ISSN： 0887-2171            Impact factor:   1.875


  10 in total

Review 1.  Errors in imaging patients in the emergency setting.

Authors:  Antonio Pinto; Alfonso Reginelli; Fabio Pinto; Giuseppe Lo Re; Federico Midiri; Carlo Muzj; Luigia Romano; Luca Brunese
Journal:  Br J Radiol       Date:  2016-02-03       Impact factor: 3.039

Review 2.  Errors in multidetector row computed tomography.

Authors:  M A Mazzei; L Volterrani
Journal:  Radiol Med       Date:  2015-06-25       Impact factor: 3.469

Review 3.  Missed lung cancer: when, where, and why?

Authors:  Annemilia Del Ciello; Paola Franchi; Andrea Contegiacomo; Giuseppe Cicchetti; Lorenzo Bonomo; Anna Rita Larici
Journal:  Diagn Interv Radiol       Date:  2017 Mar-Apr       Impact factor: 2.630

4.  Computed tomographic characteristics of interval and post screen carcinomas in lung cancer screening.

Authors:  Ernst Th Scholten; Nanda Horeweg; Harry J de Koning; Rozemarijn Vliegenthart; Matthijs Oudkerk; Willem P Th M Mali; Pim A de Jong
Journal:  Eur Radiol       Date:  2014-09-04       Impact factor: 5.315

Review 5.  Screening for early stage lung cancer and its correlation with lung nodule detection.

Authors:  Fangfei Qian; Wenjia Yang; Qunhui Chen; Xueyan Zhang; Baohui Han
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

6.  Validation of deep learning-based computer-aided detection software use for interpretation of pulmonary abnormalities on chest radiographs and examination of factors that influence readers' performance and final diagnosis.

Authors:  Naoki Toda; Masahiro Hashimoto; Yu Iwabuchi; Misa Nagasaka; Ryo Takeshita; Minoru Yamada; Yoshitake Yamada; Masahiro Jinzaki
Journal:  Jpn J Radiol       Date:  2022-09-19       Impact factor: 2.701

7.  X-ray Dark-field Radiography - In-Vivo Diagnosis of Lung Cancer in Mice.

Authors:  Kai Scherer; Andre Yaroshenko; Deniz Ali Bölükbas; Lukas B Gromann; Katharina Hellbach; Felix G Meinel; Margarita Braunagel; Jens von Berg; Oliver Eickelberg; Maximilian F Reiser; Franz Pfeiffer; Silke Meiners; Julia Herzen
Journal:  Sci Rep       Date:  2017-03-24       Impact factor: 4.379

8.  Artificial intelligence-supported lung cancer detection by multi-institutional readers with multi-vendor chest radiographs: a retrospective clinical validation study.

Authors:  Daiju Ueda; Akira Yamamoto; Akitoshi Shimazaki; Shannon Leigh Walston; Toshimasa Matsumoto; Nobuhiro Izumi; Takuma Tsukioka; Hiroaki Komatsu; Hidetoshi Inoue; Daijiro Kabata; Noritoshi Nishiyama; Yukio Miki
Journal:  BMC Cancer       Date:  2021-10-18       Impact factor: 4.430

9.  Artificial neural network in the discrimination of lung cancer based on infrared spectroscopy.

Authors:  Eiron John Lugtu; Denise Bernadette Ramos; Alliah Jen Agpalza; Erika Antoinette Cabral; Rian Paolo Carandang; Jennica Elia Dee; Angelica Martinez; Julius Eleazar Jose; Abegail Santillan; Ruth Bangaoil; Pia Marie Albano; Rock Christian Tomas
Journal:  PLoS One       Date:  2022-05-12       Impact factor: 3.752

10.  The impact of greyscale inversion for nodule detection in an anthropomorphic chest phantom: a free-response observer study.

Authors:  John D Thompson; Nigel B Thomas; David J Manning; Peter Hogg
Journal:  Br J Radiol       Date:  2016-06-08       Impact factor: 3.039
  10 in total

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