Solitary pulmonary nodules: optimal slice thickness of high-resolution CT in differentiating malignant from benign.

The purpose of this study was to determine an optimal slice thickness that was efficient in differentiating malignant from benign solitary pulmonary nodules (SPNs) on high-resolution computed tomography (HRCT) images. For a total of 92 SPNs, four radiologist indicated their confidence level for the malignant or benign SPN on the CT images presented in 1-, 3-, and 5-mm slice thickness. HRCT could be used to differentiate more accurately the malignant nodules from the benign ones using 1-mm-thick sections than 3- or 5-mm-thick sections.

[1]  S Sone,et al.  High-resolution CT analysis of small peripheral lung adenocarcinomas revealed on screening helical CT. , 2001, AJR. American journal of roentgenology.

[2]  Feng Li,et al.  Mass screening for lung cancer with mobile spiral computed tomography scanner , 1998, The Lancet.

[3]  C. Mountain,et al.  Revisions in the International System for Staging Lung Cancer. , 1997, Chest.

[4]  S Itoh,et al.  Further Reduction of Radiation Dose in Helical CT for Lung Cancer Screening Using Small Tube Current and a Newly Designed Filter , 2001, Journal of thoracic imaging.

[5]  E. Fishman,et al.  Solitary pulmonary nodules: CT assessment. , 1986, Radiology.

[6]  K Kuriyama,et al.  Ground-glass opacity on thin-section CT: value in differentiating subtypes of adenocarcinoma of the lung. , 1999, AJR. American journal of roentgenology.

[7]  V. Roggli,et al.  Solitary pulmonary nodules: Part I. Morphologic evaluation for differentiation of benign and malignant lesions. , 2000, Radiographics : a review publication of the Radiological Society of North America, Inc.

[8]  N. Müller,et al.  Solitary pulmonary nodule: high-resolution CT and radiologic-pathologic correlation. , 1991, Radiology.

[9]  F. Li,et al.  Small peripheral carcinomas of the lung: thin-section CT and pathologic correlation , 1999, European Radiology.

[10]  H. Soeda,et al.  New Classification of Small Pulmonary Nodules by Margin Characteristics on Highresolution CT , 1999, Acta radiologica.

[11]  K. S. Lee,et al.  Halo sign on high resolution CT: findings in spectrum of pulmonary diseases with pathologic correlation. , 1999, Journal of computer assisted tomography.

[12]  C. Pistitsch,et al.  Usefulness of morphological characteristics for the differentiation of benign from malignant solitary pulmonary lesions using HRCT , 1999, European Radiology.

[13]  M. Mahoney,et al.  CT demonstration of calcification in carcinoma of the lung. , 1990, AJR. American journal of roentgenology.

[14]  N. Müller,et al.  High-Resolution CT of the Lung , 1997 .

[15]  W. Greco,et al.  Thick-section reformatting of thinly collimated helical CT for reduction of skull base-related artifacts. , 2000, AJR. American journal of roentgenology.

[16]  M D Seemann,et al.  Differentiation of malignant from benign solitary pulmonary lesions using chest radiography, spiral CT and HRCT. , 2000, Lung cancer.

[17]  K Murata,et al.  Pulmonary metastatic nodules: CT-pathologic correlation. , 1992, Radiology.

[18]  K. Berbaum,et al.  Receiver operating characteristic rating analysis. Generalization to the population of readers and patients with the jackknife method. , 1992, Investigative radiology.

[19]  P G Herman,et al.  Solitary pulmonary nodules: comparison of classification with standard, thin-section, and reference phantom CT. , 1991, Radiology.

[20]  S Itoh,et al.  Videotaped helical CT images for lung cancer screening. , 2000, Journal of computer assisted tomography.

[21]  J. Austin,et al.  CT Demonstration of Calcification in Carcinoma of the Lung , 1994, Journal of computer assisted tomography.

[22]  Setsuo Hirohashi,et al.  Small adenocarcinoma of the lung. Histologic characteristics and prognosis , 1995 .

[23]  C. Metz,et al.  Maximum likelihood estimation of receiver operating characteristic (ROC) curves from continuously-distributed data. , 1998, Statistics in medicine.

[24]  K. Yasumoto,et al.  Peripheral lung adenocarcinoma: correlation of thin-section CT findings with histologic prognostic factors and survival. , 2001, Radiology.

[25]  G. Aughenbaugh,et al.  High-Resolution CT of the Lung, 3rd ed. , 2001 .

[26]  C. Henschke.  Early lung cancer action project , 2000, Cancer.

[27]  David P. Naidich,et al.  High-Resolution CT of the Lung , 1997 .

[28]  S. Sone,et al.  Correlation between high-resolution computed tomographic, magnetic resonance and pathological findings in cases with non-cancerous but suspicious lung nodules , 2000, European Radiology.