Lung Nodule Detection and Characterization With Multi-Slice CT
暂无分享,去创建一个
[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.