DocumentCode :
612419
Title :
Correlative study of MR diffusion weighted imaging with background body signal suppression features and different pathological types in lung carcinoma and pulmonary tuberculosis
Author :
Yue Guan ; Xihe Sun ; Peng Dong ; Guanghui Chang ; Yanming Ge ; Yanqi Xu ; Bin Wang
Author_Institution :
Med. Imaging Center of affiliated Hosp., Weifang Med. Uinversity, Weifang, China
fYear :
2013
fDate :
25-28 May 2013
Firstpage :
471
Lastpage :
474
Abstract :
The correlation of MR diffusion weighted imaging with background body signal suppression (MR-DWIBS) features and different pathological types in lung carcinoma were studied. Forty-two cases with lung carcinoma and ten cases with pulmonary tuberculosis proved pathologically and examined with MR-DWIBS. The ADC values of lung cancer with the different pathological types were analyzed. The ADC of squamous carcinoma, adenocarcinoma, small cell carcinoma and alveolar cell carcinoma were (1.82±0.15) ×10-3mm2/s (1.17±0.32) ×10-3mm2/s (2.24±0.65) ×10-3mm2/s and (0.93±0.08)×10-3mm2/s, respectively. The ADC of pulmonary tuberculosis was (0.46±0.36) ×10-3mm2/s. The ADC of small cell carcinoma was higher than other those of pathological types. There were highly differences of ADC between squamous carcinoma and other pathological types (P<;0.05). And there were differences of ADC among small cell carcinoma, adenocarcinoma and alveolar cell carcinoma. No significance was found among adenocarcinoma and alveolar cell carcinoma. The ADC of pulmonary tuberculosis was significantly lower than all lung cancer pathological types. The ADC of lung carcinoma and pulmonary tuberculosis reflect the pathological type in some extent, and has important clinical value in diagnosis and treatment of lung carcinoma.
Keywords :
biomedical MRI; cancer; cellular biophysics; correlation methods; feature extraction; lung; medical image processing; pneumodynamics; ADC; MR diffusion weighted imaging; MR-DWIBS; adenocarcinoma; alveolar cell carcinoma; background body signal suppression features; correlative study; lung cancer; lung carcinoma; pathological types; pulmonary tuberculosis; small cell carcinoma; squamous carcinoma; Biomedical imaging; Cancer; Lungs; Pathology; Positron emission tomography; Three-dimensional displays; Lung carcinoma; diffusion weighted imaging; nuclear magnetic resonance; pathological type; pulmonary tuberculosis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Complex Medical Engineering (CME), 2013 ICME International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-2970-5
Type :
conf
DOI :
10.1109/ICCME.2013.6548293
Filename :
6548293
Link To Document :
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