Literature DB >> 12601181

Lung cancer screening with CT: Mayo Clinic experience.

Stephen J Swensen1, James R Jett, Thomas E Hartman, David E Midthun, Jeff A Sloan, Anne-Marie Sykes, Gregory L Aughenbaugh, Medy A Clemens.   

Abstract

PURPOSE: To evaluate a large cohort of patients at high risk for lung cancer by using screening with low-dose spiral computed tomography (CT) of the chest.
MATERIALS AND METHODS: A prospective cohort study was performed with 1,520 individuals aged 50 years or older who had smoked 20 pack-years or more. Participants underwent three annual low-dose CT examinations of the chest and upper abdomen. Characteristics of pulmonary nodules and additional findings were tabulated and analyzed.
RESULTS: Two years after baseline CT scanning, 2,832 uncalcified pulmonary nodules were identified in 1,049 participants (69%). Forty cases of lung cancer were diagnosed: 26 at baseline (prevalence) CT examinations and 10 at subsequent annual (incidence) CT examinations. CT alone depicted 36 cases; sputum cytologic examination alone, two. There were two interval cancers. Cell types were as follows: squamous cell tumor, seven; adenocarcinoma or bronchioloalveolar carcinoma, 24; large cell tumor, two; non-small cell tumor, three; small cell tumor, four. The mean size of the non-small cell cancers detected at CT was 15.0 mm. The stages were as follows: IA, 22; IB, three; IIA, four; IIB, one; IIIA, five; IV, one; limited small cell tumor, four. Twenty-one (60%) of the 35 non-small cell cancers detected at CT were stage IA at diagnosis. Six hundred ninety-six additional findings of clinical importance were identified.
CONCLUSION: CT can depict early-stage lung cancers. The rate of benign nodule detection is high.

Entities:  

Mesh:

Year:  2003        PMID: 12601181     DOI: 10.1148/radiol.2263020036

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


  151 in total

1.  Screening for cancer with computed tomography.

Authors:  Stephen J Swensen
Journal:  BMJ       Date:  2003-04-26

2.  Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists.

Authors:  Katharina Marten; Tobias Seyfarth; Florian Auer; Edzard Wiener; Andreas Grillhösl; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-07-03       Impact factor: 5.315

3.  Evaluating the growth of pulmonary nodular ground-glass opacity on CT: comparison of volume rendering and thin slice images.

Authors:  Mingzhu Liang; Xueguo Liu; Weidong Li; Kunwei Li; Xiangmeng Chen; Guojie Wang; Kai Chen; Jinxin Zhang
Journal:  J Huazhong Univ Sci Technolog Med Sci       Date:  2011-12-16

4.  Update on lung cancer screening: it works?

Authors:  Reginald F Munden
Journal:  Tex Heart Inst J       Date:  2011

5.  Detection of noncalcified pulmonary nodules on low-dose MDCT: comparison of the sensitivity of two CAD systems by using a double reference standard.

Authors:  A R Larici; M Amato; P Ordóñez; F Maggi; L Menchini; A Caulo; L Calandriello; G Vallati; S Giunta; M Crecco; L Bonomo
Journal:  Radiol Med       Date:  2012-02-10       Impact factor: 3.469

6.  (18)F-fluorodeoxyglucose positron emission tomography/computed tomography characterization of solitary pulmonary nodules: can we do better?

Authors:  Ana María García Vicente; Víctor M Pérez-García; Ángel Soriano Castrejón
Journal:  J Thorac Dis       Date:  2015-08       Impact factor: 2.895

7.  Solitary pulmonary nodule: detection and management.

Authors:  S Diederich; M Das
Journal:  Cancer Imaging       Date:  2006-10-31       Impact factor: 3.909

8.  Computer-assisted detection of pulmonary nodules: evaluation of diagnostic performance using an expert knowledge-based detection system with variable reconstruction slice thickness settings.

Authors:  Katharina Marten; Andreas Grillhösl; Tobias Seyfarth; Silvia Obenauer; Ernst J Rummeny; Christoph Engelke
Journal:  Eur Radiol       Date:  2004-12-02       Impact factor: 5.315

9.  A review of computer-aided diagnosis in thoracic and colonic imaging.

Authors:  Kenji Suzuki
Journal:  Quant Imaging Med Surg       Date:  2012-09

10.  Computed tomography assessment of response to therapy: tumor volume change measurement, truth data, and error.

Authors:  Michael F McNitt-Gray; Luc M Bidaut; Samuel G Armato; Charles R Meyer; Marios A Gavrielides; Charles Fenimore; Geoffrey McLennan; Nicholas Petrick; Binsheng Zhao; Anthony P Reeves; Reinhard Beichel; Hyun-Jung Grace Kim; Lisa Kinnard
Journal:  Transl Oncol       Date:  2009-12       Impact factor: 4.243

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