Miss Rate of Lung Cancer on the Chest Radiograph in Clinical Practice

Quekel, Lorentz G.B.A.; Kessels, Alphons G.H.; Goei, R.; Engelshoven, J.M.A van

doi:10.1378/chest.115.3.720

Cited by 283 publications

(177 citation statements)

References 20 publications

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“…In past decades, several technical innovations were introduced to improve the sensitivity of this modality. In addition to dual-energy subtraction radiography, other new software techniques have been shown to be capable of decreasing or completely removing the overprojection of bones, mainly of the clavicles and ribs, that significantly hampers the detection of pulmonary nodules on projection radiographs [1][2][3][4][5][6]. On the other hand, computer-aided detection (CAD) techniques have been developed for chest radiography, analogous to those used with chest CT, to aid in the detection of lung nodules.…”

Section: Methodsmentioning

confidence: 99%

Comparison of Dual-Energy Subtraction and Electronic Bone Suppression Combined With Computer-Aided Detection on Chest Radiographs: Effect on Human Observers' Performance in Nodule Detection

Szücs-Farkas

Schick

Cullmann

et al. 2013

American Journal of Roentgenology

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very few series have dealt with a combination of these techniques [14,15]. The feasibility of software-only bone suppression on conventional chest radiography in combination with CAD has not been tested to date. Furthermore, of the studies in the literature, most investigators selected image collections in which each image contained only one lesion, a scenario that often does not correspond to the patient collective encountered during daily routine.The aim of the current investigation was to compare the effect of dual-energy subtraction and recently developed bone suppression software alone and in combination with CAD on the diagnostic performance of human observers in lung nodule detection. Materials and MethodsThis retrospective study was performed according to the regulations of the institutional review board and required no informed consent. C onventional chest radiography is still the most frequently performed initial imaging evaluation used worldwide to exclude pulmonary nodules because of its wide accessibility, low cost, and low radiation dose. In past decades, several technical innovations were introduced to improve the sensitivity of this modality. In addition to dual-energy subtraction radiography, other new software techniques have been shown to be capable of decreasing or completely removing the overprojection of bones, mainly of the clavicles and ribs, that significantly hampers the detection of pulmonary nodules on projection radiographs [1][2][3][4][5][6]. On the other hand, computer-aided detection (CAD) techniques have been developed for chest radiography, analogous to those used with chest CT, to aid in the detection of lung nodules. Studies have analyzed the diagnostic gain from bone subtraction or suppression and CAD separately [7][8][9][10][11][12][13] Z. Szucs-Farkas received fees from the Riverain Technologies Group for collecting anonymized patient data for a different reader study. That study is not related to the current investigation in any way. Comparison of Dual-Energy C a r d io p u lm o n a r y I m ag i ng • O r ig i n a l R e s e a rc hOBJECTIVE. The objective of our study was to compare the effect of dual-energy subtraction and bone suppression software alone and in combination with computer-aided detection (CAD) on the performance of human observers in lung nodule detection. MATERIALS AND METHODS.One hundred one patients with from one to five lung nodules measuring 5-29 mm and 42 subjects with no nodules were retrospectively selected and randomized. Three independent radiologists marked suspicious-appearing lesions on the original chest radiographs, dual-energy subtraction images, and bone-suppressed images before and after postprocessing with CAD. Marks of the observers and CAD marks were compared with CT as the reference standard. Data were analyzed using nonparametric tests and the jackknife alternative free-response receiver operating characteristic (JAFROC) method.RESULTS. Using dual-energy subtraction alone (p = 0.0198) or CAD alone (p = 0.0095) improved the detection ra...

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Section: Methodsmentioning

confidence: 99%

Comparison of Dual-Energy Subtraction and Electronic Bone Suppression Combined With Computer-Aided Detection on Chest Radiographs: Effect on Human Observers' Performance in Nodule Detection

Szücs-Farkas

Schick

Cullmann

et al. 2013

American Journal of Roentgenology

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“…The purpose of this step is to identify the presence of pulmonary nodules in the analyzed images. Early detection of lung nodules may increase the chance of patient survival [2], but this task is complex, as discussed by Quekel et al [77] and Li et al [78]. The nodules appear as circular objects of low contrast within the lungs.…”

Section: Nodule Detectionmentioning

confidence: 99%

Automatic 3D pulmonary nodule detection in CT images: A survey

Valente

Cortez

Neto

et al. 2016

Computer Methods and Programs in Biomedicine

204

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This work presents a systematic review of techniques for the 3D automatic detection of pulmonary nodules in computerized-tomography (CT) images.Its main goals are to analyze the latest technology being used for the development of computational diagnostic tools to assist in the acquisition, storage and, mainly, processing and analysis of the biomedical data. Also, this work identifies the progress made, so far, evaluates the challenges to be overcome and provides an analysis of future prospects. As far as the authors know, this is the first time that a review is devoted exclusively to automated 3D techniques for the detection of pulmonary nodules from lung CT images, which makes this work of noteworthy value. The research covered the published works in the Web of Science, PubMed, Science Direct and IEEEXplore up to December 2014. Each work found that referred to automated 3D segmentation of the lungs was individually analyzed to identify its objective, methodology and results. Based on the analysis of the selected works, several studies were seen to be useful for the construction of medical diagnostic * Corresponding author. E-mail: tavares@fe.up.pt. 31, 2015 aid tools. However, there are certain aspects that still require attention such as increasing algorithm sensitivity, reducing the number of false positives, improving and optimizing the algorithm detection of different kinds of nodules with different sizes and shapes and, finally, the ability to integrate with the Electronic Medical Record Systems and Picture Archiving and Communication Systems. Based on this analysis, we can say that further research is needed to develop current techniques and that new algorithms are needed to overcome the identified drawbacks. Preprint submitted to Computer Methods and Programs in Biomedicine August

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“…Radiografias do tórax vs. tomografia computadorizada helicoidal (51)(52)(53)(54)(55)(56) : Os estudos realizados no passado demonstraram as limitações da radiografia do tórax na identificação precoce de nódulos pulmonares. No Mayo Lung Project, em uma análise retrospectiva, 90% dos carcinomas periféricos e 75% dos peri-hilares, já estavam presentes em radiografias anteriores (51) .…”

Section: Problemas Metodológicos E Principais Limitações Dos Protocolunclassified

“…No Mayo Lung Project, em uma análise retrospectiva, 90% dos carcinomas periféricos e 75% dos peri-hilares, já estavam presentes em radiografias anteriores (51) . Quekel et al (52) demonstraram que 19% dos casos de carcinomas perifé-ricos escaparam à identificação radiológica (diâmetro médio de 16mm). Sone et al (53) compararam a acurácia da radiografia do tórax com a tomografia computadorizada helicoidal, em 44 casos de câncer de pulmão identificados no exame tomográfico.…”

Section: Problemas Metodológicos E Principais Limitações Dos Protocolunclassified

Protocolos de rastreamento para o diagnóstico precoce do câncer de pulmão: passado, presente e futuro

2002

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O carcinoma brônquico é, de todos, o de maior letalidade, responsabilizando-se, anualmente, por maior número de óbitos do que aqueles decorrentes do câncer do cólon, mama e próstata juntos. Seguindo seu curso natural, mais de 50% dos pacientes têm metástases a distância e somente 20 a 25% são potencialmente ressecáveis no momento do diagnóstico, com perspectiva de sobrevida em cinco anos de apenas 14%.

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Miss Rate of Lung Cancer on the Chest Radiograph in Clinical Practice

Cited by 283 publications

References 20 publications

Comparison of Dual-Energy Subtraction and Electronic Bone Suppression Combined With Computer-Aided Detection on Chest Radiographs: Effect on Human Observers' Performance in Nodule Detection

Comparison of Dual-Energy Subtraction and Electronic Bone Suppression Combined With Computer-Aided Detection on Chest Radiographs: Effect on Human Observers' Performance in Nodule Detection

Automatic 3D pulmonary nodule detection in CT images: A survey

Protocolos de rastreamento para o diagnóstico precoce do câncer de pulmão: passado, presente e futuro

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