Differential diagnosis of benign and malignant solitary pulmonary nodule with computer-aided detection

Acta Academiae Medicinae Sinicae

Volumn 28, Issue 1, 2006, Pages 64-67

  Wang, Ming Peng ^a   Tan, Guo Zhen ^a,b   Zhang, Guo Zhen ^a   Zhang, Jian Guo ^a,b   Wu, Hao ^a   Yang, Jian Ying ^a  

^a HUADONG HOSPITAL AFFILIATED TO FUDAN UNIVERSITY   (China)

^b SHANGHAI INSTITUTE OF TECHNICAL PHYSICS   (China)

Author keywords

Computer aided detection; Lung nodule; Solitary pulmonary nodule; Tomography, x ray computed

Indexed keywords

IOPROMIDE;

ADULT; AGED; ARTICLE; CLINICAL ARTICLE; COMPUTER ASSISTED DIAGNOSIS; COMPUTER ASSISTED TOMOGRAPHY; COMPUTER PROGRAM; CONTRAST ENHANCEMENT; CONTROLLED STUDY; DIAGNOSTIC VALUE; DIFFERENTIAL DIAGNOSIS; FEMALE; HUMAN; IMAGE ANALYSIS; IMAGE ENHANCEMENT; LUNG CANCER; LUNG NODULE; MALE;

ADULT; AGED; AGED, 80 AND OVER; COIN LESION, PULMONARY; DIAGNOSIS, DIFFERENTIAL; FEMALE; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; SENSITIVITY AND SPECIFICITY; TOMOGRAPHY, SPIRAL COMPUTED;

EID: 33644959119     PISSN: 1000503X     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (8)

1. Leef JL, Klein JS. The solitary pulmonary nodule. Radiol Clin North Am, 2002, 40 (1) :123-143.
2. Yamashita K, Matsunobe S, Tsuda T, et al. Solitary pulmonary nodule: preliminary study of evaluation with incremental dynamic CT. Radiology, 1995, 194(2): 399-405.
3. Erasmus JJ, Connolly JE, McAdams HP, et al. Solitary pulmonary nodules: Part I. Morphologic evaluation for differentiation of benign and malignant lesions. Radiographics, 2000, 20(1) :43-58.
4. Kono M, Adachi S, Kusumoto M, et al. Clinical utility of Gd-DTPA enhanced magetic resonance imaging in lung cancer. J Thorac Imaging, 1993, 8 (1) 18-26.
5. Chinese source. 2000, 6(6) :383-385.
6. Hartman TE. Radiologic evaluation of the solitary pulmonary nodule. Semin Thorac Cardiovase Surg, 2002, 14 (3) :261-267.
7. Swensen SJ, Yamashita K, McCollough CH, et al. Lung nodules: dual-kilovolt peak analysis with CT - multicenter study. Radiology, 2001, 218(1) :300-311.
8. Zhao B, Gamsu G, Ginsberg MS, et al. Automatic detection of small lung nodules on CT utilizing a local density maximum algorithm. J Appl Clin Med Phys, 2003, 4(3) :248-260.