Literature DB >> 1727272

Missed bronchogenic carcinoma: radiographic findings in 27 patients with a potentially resectable lesion evident in retrospect.

J H Austin1, B M Romney, L S Goldsmith.   

Abstract

Eighteen radiologists failed to detect 27 potentially resectable bronchogenic carcinomas revealed retrospectively on serial chest radiographs. Most of the cancers were in an upper lobe (n = 22 [81%]), especially the right upper lobe (n = 15 [56%]). More of the cancers were in women (n = 18 [67%]) than in men (n = 9 [33%]). The mean diameter of the missed lesions was 1.6 cm +/- 0.8 (range, 0.6-3.4 cm). Only two lesions (7%) were well defined around their entire extent. A lateral radiograph (available for 23 patients) revealed the missed lesion better than the posteroanterior radiograph in four patients (17%). Six consultant radiologists, who were biased by knowledge that the cases were of missed bronchogenic carcinoma, were individually shown the radiographs in 22 of the cases. Each consultant missed a mean of 26% (5.8 +/- 1.7) of the lesions. At least one of the six consultants missed the lesion in 16 (73%) of the cases. The predominant characteristics of radiographically missed and potentially resectable bronchogenic carcinomas were difficulty in radiographic detection, female gender, and location in an upper lobe, especially on the right side.

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Year:  1992        PMID: 1727272     DOI: 10.1148/radiology.182.1.1727272

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  47 in total

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5.  Spectrum of diagnostic errors in radiology.

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6.  Solitary pulmonary nodule: detection and management.

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7.  Computer-aided diagnosis for improved detection of lung nodules by use of posterior-anterior and lateral chest radiographs.

Authors:  Junji Shiraishi; Feng Li; Kunio Doi
Journal:  Acad Radiol       Date:  2007-01       Impact factor: 3.173

8.  Evaluation of usefulness of color digital summation radiography for solitary pulmonary nodules on chest radiographs.

Authors:  Yuji Ogata; Hiroaki Naito; Noriyuki Tomiyama; Seiki Hamada; Mitusko Tsubamoto; Atsuo Inoue; Sachiko Murai; Hiromitu Sumikawa; Takashi Ueguchi; Mitsuhiro Matsumoto; Shinichi Tamura; Hiroyuki Nishinosono; Hironobu Nakamura; Takeshi Johkoh
Journal:  Radiat Med       Date:  2006-06

9.  AI-based improvement in lung cancer detection on chest radiographs: results of a multi-reader study in NLST dataset.

Authors:  Hyunsuk Yoo; Sang Hyup Lee; Chiara Daniela Arru; Ruhani Doda Khera; Ramandeep Singh; Sean Siebert; Dohoon Kim; Yuna Lee; Ju Hyun Park; Hye Joung Eom; Subba R Digumarthy; Mannudeep K Kalra
Journal:  Eur Radiol       Date:  2021-06-04       Impact factor: 5.315

Review 10.  Computer-aided diagnosis in medical imaging: historical review, current status and future potential.

Authors:  Kunio Doi
Journal:  Comput Med Imaging Graph       Date:  2007-03-08       Impact factor: 4.790

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