Lung Nodule Detection and Characterization With Multi-Slice CT

Abstract: The influence of MSCT on nodule detection and characterization will be discussed. The objective is to improve understanding of the clinical issues involved in nodule detection, characterization, and management in light of technological advances. Topics to be covered are noninvasive characterization techniques, such as morphologic and density inspection on CT, nodule enhancement techniques, CT-PET, temporal nodule size assessment, and computer aided diagnosis for both detection and characterization.

[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]  M. Giger,et al.  Computerized Detection of Pulmonary Nodules in Computed Tomography Images , 1994, Investigative radiology.

[3]  Richard C. Pais,et al.  Comparison of treatment response classifications between unidimensional, bidimensional, and volumetric measurements of metastatic lung lesions on chest computed tomography. , 2004, Academic radiology.

[4]  H L Kundel,et al.  Visual scanning, pattern recognition and decision-making in pulmonary nodule detection. , 1978, Investigative radiology.

[5]  Stefan Tigges,et al.  Incremental benefit of maximum-intensity-projection images on observer detection of small pulmonary nodules revealed by multidetector CT. , 2002, AJR. American journal of roentgenology.

[6]  Martin Fiebich,et al.  Automatic detection of pulmonary nodules at spiral CT: clinical application of a computer-aided diagnosis system , 2002, European Radiology.

[7]  S. Armato,et al.  Computerized detection of pulmonary nodules on CT scans. , 1999, Radiographics : a review publication of the Radiological Society of North America, Inc.

[8]  W. Heindel,et al.  Diagnostic performance of a commercially available computer-aided diagnosis system for automatic detection of pulmonary nodules: comparison with single and double reading. , 2004, RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin.

[9]  K. Zhou,et al.  The relationship between solitary pulmonary nodules and bronchi: multi-slice CT-pathological correlation. , 2004, Clinical radiology.

[10]  R. Hruban,et al.  p53 alterations in atypical alveolar hyperplasia of the human lung. , 1998, Human pathology.

[11]  H. Tonami,et al.  Fluorine-18-FDG PET imaging is negative in bronchioloalveolar lung carcinoma. , 1998, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[12]  M. McNitt-Gray,et al.  Patient-specific models for lung nodule detection and surveillance in CT images , 2001, IEEE Transactions on Medical Imaging.

[13]  K Miyasaka,et al.  Tumor Angiogenesis and Dynamic CT in Lung Adenocarcinoma: Radiologic–Pathologic Correlation , 2001, Journal of computer assisted tomography.

[14]  K. S. Lee,et al.  Localized form of bronchioloalveolar carcinoma: FDG PET findings. , 1998, AJR. American journal of roentgenology.

[15]  H. Ohmatsu,et al.  Detection failures in spiral CT screening for lung cancer: analysis of CT findings. , 1999, Radiology.

[16]  H. Moriwaki,et al.  A small pulmonary arteriovenous malformation as a cause of recurrent brain embolism. , 2004, AJNR. American journal of neuroradiology.

[17]  R. Coleman,et al.  Focal pulmonary abnormalities: evaluation with F-18 fluorodeoxyglucose PET scanning. , 1993, Radiology.

[18]  Samuel G Armato,et al.  Automated detection of lung nodules in CT scans: effect of image reconstruction algorithm. , 2003, Medical physics.

[19]  Anthony P. Reeves,et al.  Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images , 2003, IEEE Transactions on Medical Imaging.

[20]  N. Gupta,et al.  Positron emission tomography of lung tumors and mediastinal lymph nodes using [18F]fluorodeoxyglucose , 1994 .

[21]  M. Cohen,et al.  Maximum intensity projection images in the detection of simulated pulmonary nodules by spiral CT. , 1998, The British journal of radiology.

[22]  M Fujita,et al.  Prevalence of air bronchograms in small peripheral carcinomas of the lung on thin-section CT: comparison with benign tumors. , 1991, AJR. American journal of roentgenology.

[23]  C I Henschke,et al.  Small solitary pulmonary nodules. , 2000, Radiologic clinics of North America.

[24]  K. Doi,et al.  Computerized scheme for automated detection of lung nodules in low-dose computed tomography images for lung cancer screening. , 2004, Academic radiology.

[25]  K. Awai,et al.  Pulmonary nodules at chest CT: effect of computer-aided diagnosis on radiologists' detection performance. , 2004, Radiology.

[26]  Margrit Betke,et al.  Chest CT: automated nodule detection and assessment of change over time--preliminary experience. , 2001, Radiology.

[27]  K. Edinburgh,et al.  CT of spontaneous hemothorax from intrapleural rupture of a pulmonary arteriovenous malformation. , 1998, AJR. American journal of roentgenology.

[28]  Shoji Kido,et al.  Fractal Analysis of Small Peripheral Pulmonary Nodules in Thin-section CT: Evaluation of the Lung-nodule Interfaces , 2002, Journal of computer assisted tomography.

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

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

[31]  C. Yi,et al.  Solitary pulmonary nodules: dynamic enhanced multi-detector row CT study and comparison with vascular endothelial growth factor and microvessel density. , 2004, Radiology.

[32]  Henry Rusinek,et al.  Wavelet compression of low-dose chest CT data: effect on lung nodule detection. , 2003, Radiology.

[33]  L. Schwartz,et al.  Evaluation of tumor measurements in oncology: use of film-based and electronic techniques. , 2000, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[34]  Binsheng Zhao,et al.  Small pulmonary nodules: volumetrically determined growth rates based on CT evaluation. , 2000, Radiology.

[35]  K. Marten,et al.  Computer-assisted detection of pulmonary nodules: evaluation of diagnostic performance using an expert knowledge-based detection system with variable reconstruction slice thickness settings , 2005, European Radiology.

[36]  H Rusinek,et al.  Pulmonary nodule detection: low-dose versus conventional CT. , 1998, Radiology.

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

[38]  K. Marten,et al.  Computer-aided detection of pulmonary nodules: influence of nodule characteristics on detection performance. , 2005, Clinical radiology.

[39]  J. Austin,et al.  Primary carcinoma of the lung overlooked at CT: analysis of findings in 14 patients. , 1996, Radiology.

[40]  Yun Liang,et al.  Fundamentals of multichannel CT. , 2003, Seminars in musculoskeletal radiology.

[41]  Margrit Betke,et al.  Small pulmonary nodules: volume measurement at chest CT--phantom study. , 2003, Radiology.

[42]  O. Hoekstra,et al.  The performance of 18F-fluorodeoxyglucose positron emission tomography in small solitary pulmonary nodules , 2004, European Journal of Nuclear Medicine and Molecular Imaging.

[43]  M. Revel,et al.  Are two-dimensional CT measurements of small noncalcified pulmonary nodules reliable? , 2004, Radiology.

[44]  L. Broemeling,et al.  Interobserver and intraobserver variability in measurement of non-small-cell carcinoma lung lesions: implications for assessment of tumor response. , 2003, Journal of clinical oncology : official journal of the American Society of Clinical Oncology.

[45]  P C Goodman,et al.  Evaluation of primary pulmonary carcinoid tumors using FDG PET. , 1998, AJR. American journal of roentgenology.

[46]  J. Austin,et al.  Missed non-small cell lung cancer: radiographic findings of potentially resectable lesions evident only in retrospect. , 2003, Radiology.

[47]  J. Austin,et al.  Missed bronchogenic carcinoma: radiographic findings in 27 patients with a potentially resectable lesion evident in retrospect. , 1992, Radiology.

[48]  K. Marten,et al.  Computer-assisted detection of pulmonary nodules: performance evaluation of an expert knowledge-based detection system in consensus reading with experienced and inexperienced chest radiologists , 2004, European Radiology.

[49]  C I Henschke,et al.  Does 2-year stability imply that pulmonary nodules are benign? , 1997, AJR. American journal of roentgenology.

[50]  N. Gupta,et al.  Positron emission tomography of lung tumors and mediastinal lymph nodes using [18F]fluorodeoxyglucose. The Members of the PET-Lung Tumor Study Group. , 1994, The Annals of thoracic surgery.

[51]  J. T. Littleton,et al.  Pulmonary masses: contrast enhancement. , 1990, Radiology.

[52]  S. Sone,et al.  CT findings and progression of small peripheral lung neoplasms having a replacement growth pattern. , 2003, AJR. American journal of roentgenology.

[53]  O. Miettinen,et al.  CT screening for lung cancer: frequency and significance of part-solid and nonsolid nodules. , 2002, AJR. American journal of roentgenology.

[54]  M. Tillich,et al.  Detection of pulmonary nodules with helical CT: comparison of cine and film-based viewing. , 1997, AJR. American journal of roentgenology.

[55]  S. Sone,et al.  Atypical adenomatous hyperplasia of the lung: correlation between high-resolution CT findings and histopathologic features , 2001, European Radiology.

[56]  C. White,et al.  Evaluation of the air bronchogram sign on CT in solitary pulmonary lesions. , 1996, Journal of computer assisted tomography.

[57]  E. Fishman,et al.  Pulmonary hamartoma: CT findings. , 1986, Radiology.

[58]  D. Naidich,et al.  Solitary Pulmonary Nodules: CT-Bronchoscopic Correlation , 1988 .

[59]  G. Chatellier,et al.  Pulmonary nodules: preliminary experience with three-dimensional evaluation. , 2004, Radiology.

[60]  Arunabh Talwar,et al.  False-Positive PET Scan in a Patient With Lipoid Pneumonia Simulating Lung Cancer , 2004, Clinical nuclear medicine.

[61]  S. Armato,et al.  Massive training artificial neural network (MTANN) for reduction of false positives in computerized detection of lung nodules in low-dose computed tomography. , 2003, Medical physics.

[62]  Shoji Kido,et al.  Fractal Analysis of Internal and Peripheral Textures of Small Peripheral Bronchogenic Carcinomas in Thin-section Computed Tomography: Comparison of Bronchioloalveolar Cell Carcinomas With Nonbronchioloalveolar Cell Carcinomas , 2003, Journal of computer assisted tomography.

[63]  J Konishi,et al.  Solitary pulmonary nodule: preliminary study of evaluation with incremental dynamic CT. , 1995, Radiology.

[64]  S. Swensen,et al.  Lung cancer screening with CT: Mayo Clinic experience. , 2003, Radiology.

[65]  M. McNitt-Gray,et al.  A pattern classification approach to characterizing solitary pulmonary nodules imaged on high resolution CT: preliminary results. , 1999, Medical physics.

[66]  S J Swensen,et al.  Functional CT: lung nodule evaluation. , 2000, Radiographics : a review publication of the Radiological Society of North America, Inc.

[67]  Jeong Won Lee,et al.  The Potential Contribution of a Computer-Aided Detection System for Lung Nodule Detection in Multidetector Row Computed Tomography , 2004, Investigative radiology.

[68]  Y. Kawata,et al.  Computer-aided diagnosis for pulmonary nodules based on helical CT images , 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170).

[69]  M. McNitt-Gray,et al.  Lung micronodules: automated method for detection at thin-section CT--initial experience. , 2003, Radiology.

[70]  E. Hoffman,et al.  Lung image database consortium: developing a resource for the medical imaging research community. , 2004, Radiology.

[71]  K. Doi,et al.  Radiologists' performance for differentiating benign from malignant lung nodules on high-resolution CT using computer-estimated likelihood of malignancy. , 2004, AJR. American journal of roentgenology.

[72]  Samuel G Armato Image annotation for conveying automated lung nodule detection results to radiologists. , 2003, Academic radiology.

[73]  W. Heindel,et al.  Volumetric measurements of pulmonary nodules at multi-row detector CT: in vivo reproducibility , 2003, European Radiology.

[74]  S. Hirohashi,et al.  Small adenocarcinoma of the lung. Histologic characteristics and prognosis. , 1995, Cancer.

[75]  M P Frick,et al.  Diagnostic efficacy of PET-FDG imaging in solitary pulmonary nodules. Potential role in evaluation and management. , 1993, Chest.

[76]  O S Miettinen,et al.  Early Lung Cancer Action Project , 2001, Cancer.

[77]  L. Schwartz,et al.  Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm , 2003, Journal of applied clinical medical physics.

[78]  J W QUINN,et al.  Solitary pulmonary nodules. , 1960, American journal of surgery.

[79]  H Nakata,et al.  Evolution of peripheral lung adenocarcinomas: CT findings correlated with histology and tumor doubling time. , 2000, AJR. American journal of roentgenology.

[80]  H. Tonami,et al.  Comparison of [(18)F]FDG PET and (201)Tl SPECT in evaluation of pulmonary nodules. , 2001, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[81]  Masumi Kadoya,et al.  Small solitary pulmonary nodules (< or =1 cm) detected at population-based CT screening for lung cancer: Reliable high-resolution CT features of benign lesions. , 2003, AJR. American journal of roentgenology.

[82]  Hironobu Ohmatsu,et al.  Progression of Focal Pure Ground-Glass Opacity Detected by Low-Dose Helical Computed Tomography Screening for Lung Cancer , 2004, Journal of computer assisted tomography.

[83]  S Schaller,et al.  Subsecond multi-slice computed tomography: basics and applications. , 1999, European journal of radiology.

[84]  E. Gunel,et al.  Probability of malignancy in solitary pulmonary nodules using fluorine-18-FDG and PET. , 1996, Journal of nuclear medicine : official publication, Society of Nuclear Medicine.

[85]  N. Müller,et al.  Lung nodule enhancement at CT: multicenter study. , 2000, Radiology.

[86]  Anthony J. Sherbondy,et al.  Pulmonary nodules on multi-detector row CT scans: performance comparison of radiologists and computer-aided detection. , 2005, Radiology.

[87]  S. Armato,et al.  Lung cancer: performance of automated lung nodule detection applied to cancers missed in a CT screening program. , 2002, Radiology.

[88]  Simina C. Fluture,et al.  Small pulmonary nodules: reproducibility of three-dimensional volumetric measurement and estimation of time to follow-up CT. , 2004, Radiology.

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

[90]  Jeffrey L Duerk,et al.  Volumetric assessment of pulmonary nodules with ECG-gated MDCT. , 2004, AJR. American journal of roentgenology.

[91]  H Hu,et al.  Multi-slice helical CT: scan and reconstruction. , 1999, Medical physics.

[92]  S. Swensen,et al.  The probability of malignancy in solitary pulmonary nodules. Application to small radiologically indeterminate nodules. , 1997, Archives of internal medicine.

[93]  C. Henschke,et al.  Neural networks for the analysis of small pulmonary nodules. , 1997, Clinical imaging.

[94]  O. Miettinen,et al.  CT screening for lung cancer: suspiciousness of nodules according to size on baseline scans. , 2004, Radiology.

[95]  K. Doi,et al.  Computerized scheme for determination of the likelihood measure of malignancy for pulmonary nodules on low-dose CT images. , 2003, Medical physics.

[96]  Masahiko Kusumoto,et al.  Contrast‐enhanced dynamic computed tomography for the evaluation of tumor angiogenesis in patients with lung carcinoma , 2002, Cancer.

[97]  Rajiv Gupta,et al.  Small pulmonary nodules: evaluation with repeat CT--preliminary experience. , 1999, Radiology.

[98]  E. Kang,et al.  CT bronchus sign in malignant solitary pulmonary lesions: value in the prediction of cell type , 2000, European Radiology.

[99]  Y. Inayama,et al.  Atypical adenomatous hyperplasia and bronchoalveolar lung carcinoma. Analysis by morphometry and the expressions of p53 and carcinoembryonic antigen. , 1996, The American journal of surgical pathology.

[100]  Takashi Ohtsuka,et al.  Differentiating between atypical adenomatous hyperplasia and bronchioloalveolar carcinoma using the computed tomography number histogram. , 2003, The Annals of thoracic surgery.

[101]  Berkman Sahiner,et al.  Lung nodule detection on thoracic computed tomography images: preliminary evaluation of a computer-aided diagnosis system. , 2002, Medical physics.

[102]  T. Naruke,et al.  Evaluation of F-18 fluorodeoxyglucose (FDG) PET scanning for pulmonary nodules less than 3 cm in diameter, with special reference to the CT images. , 2004, Lung cancer.