Application of multimodality imaging in the diagnosis and therapeutic evaluation of small cell lung cancer
YAN Youxia
XIAO Lizhi
TAN Yanlin
WANG Yunhua
Abstract:Objective To investigate the value of multimodality imagings including 18F-FDG PET/CT,pulmonary enhanced CT and high resolution CT scanning in the diagnosis and therapeutic evaluation of the small cell lung cancer (SCLC).Methods From October 2013 to November 2016,28 patients (23 males,5 females,from 42 ~78 years old) who underwent 1s F-FDG PET/CT and were diagnosed with SCLC by pathological examination were retrospectively studied.Multimodality image data were collected and TNM staging was carried out.All patients were divided into two groups with the SUVmax of 10 in the primary lension as the dividing point.Followed-up 18F-FDG PET/CT was performed for each patient after two cycles of chemotherapy.The changes of the size of primary tumor,SUVmax and TNM staging before and after chemotherapy were compared.The rate of SUVmax change in these two groups was compared using t test analysis before and after treatment.Results The pulmonary enhanced CT in all 28 cases has the feature of moderate and uneven enhancement.Compared with the SUVmax > 10 group (16 cases),the average diameter and SUVmax of the primary lesion in the SUVmax≤ 10 group (12 cases) become significantly smaller,and the number of metastatic lension is significantly reduced after two cycles of chemotherapy.The rate of SUVmax change in these two groups is compared using t test analysis before and after treatment,and a significant difference is observed between these two groups (P < 0.05),which indicats that these cases of SUVmax ≤ 10 show more sensitive response to chemotherapy.Conclusion Multimodality imagings are of great value in the qualitative diagnosis,accurate staging,therapeutic and prognosis evaluation of SCLC.SUVmax may be used as a useful parameter for predicting chemotherapy response.
Keywords:TomographyX-ray computedSmall cell lung cancerSUVmax
Publication Date:2017-01-01
Online Publishing Date:2025-08-15(First online date of this platform, not the publication date of the document)
Pages:4( 2106-2109 )
Journal of Medical Imaging

Journal of Medical Imaging

ISTIC
ISSN:1006-9011
Year, Vol.(Issue):2017,27(11)