Literature DB >> 19936331

Tumor metabolism measured by partial volume corrected standardized uptake value varies considerably in primary and metastatic sites in patients with lung cancer. A new observation.

Gonca Bural1, Drew A Torigian, Mohamed Houseni, Sandip Basu, Shyam Srinivas, Abass Alavi.   

Abstract

Fluorine-18 fluorodeoxyglycose -position emission tomography ((18)F-FDG-PET) as an efficient staging tool for lung carcinoma; allows description and characterization of the primary tumor and of local and distant metastases in a single examination. One of the important limiting factors in quantification of metabolic parameters with PET is the partial volume effect. Our aim for this study was to delineate tumor (size) both in the primary and metastatic lesions in patients with lung cancer by using partial volume correction techniques. Thirty two patients with proven lung cancer who had (18)F-FDG-PET and computerized tomography (CT) within the last 80 days were involved in this study. They were 18 women and 14 men, with age range 43-83 years. Maximum standardized uptake values (SUVmax) in primary and metastatic lesions for all patients were measured. The lesions were categorized into 4 different Groups according to their site. Partial volume corrections were applied using the CT sizes of lesions to obtain corrected SUVmax values. Average corrected SUVmax in each lesion site was calculated and compared between the 4 Groups. A total of 81 primary and metastatic lesions were included in this analysis. They were 28 mediastinal-hilar lymph node lesions, 26 lung lesions, 11 solid organ lesions, and 16 bone marrow lesions. The average uncorrected SUVmax for the primary lung lesions, mediastinal-hilar lymph node lesions, solid organ lesions, and the bone marrow lesions before application of partial volume correction formula were 7.2+/-3.2; 7.0+/-2.7; 6.3+/-3.4 and 7.0+/-3.4, respectively. The average corrected SUVmax for the lesions in the above mentioned regions were 11+/-6, 10+/-4, 13+/-7, and 18+/-13, respectively. A statistically significant difference was observed in the average SUVmax values between lung lesions and nodal lesions compared to the bone marrow lesions. In conclusion, our findings indicate that metabolic activities of lung cancer lesions vary depending on the sites of metastatic disease.

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Year:  2009        PMID: 19936331

Source DB:  PubMed          Journal:  Hell J Nucl Med        ISSN: 1790-5427            Impact factor:   1.102


  5 in total

1.  Evolving role of molecular imaging with PET in detecting and characterizing heterogeneity of cancer tissue at the primary and metastatic sites, a plausible explanation for failed attempts to cure malignant disorders.

Authors:  Sandip Basu; Thomas C Kwee; Robert Gatenby; Babak Saboury; Drew A Torigian; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-06       Impact factor: 9.236

2.  Pretreatment 18F-FDG Uptake Heterogeneity Predicts Treatment Outcome of First-Line Chemotherapy in Patients with Metastatic Triple-Negative Breast Cancer.

Authors:  Chengcheng Gong; Guang Ma; Xichun Hu; Yingjian Zhang; Zhonghua Wang; Jian Zhang; Yannan Zhao; Yi Li; Yizhao Xie; Zhongyi Yang; Biyun Wang
Journal:  Oncologist       Date:  2018-08-06

3.  Quantitative assessment of global lung inflammation following radiation therapy using FDG PET/CT: a pilot study.

Authors:  Sarah Abdulla; Ali Salavati; Babak Saboury; Sandip Basu; Drew A Torigian; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-10-02       Impact factor: 9.236

4.  Prediction of Pretreatment 18F-FDG-PET/CT Parameters on the Outcome of First-Line Therapy in Patients with Metastatic Breast Cancer.

Authors:  Yi Li; Cheng Liu; Bibo Wang; Xichun Hu; Chengcheng Gong; Yannan Zhao; Yizhao Xie; Yingjian Zhang; Shaoli Song; Zhongyi Yang; Biyun Wang
Journal:  Int J Gen Med       Date:  2021-05-11

5.  Temporal Heterogeneity of HER2 Expression and Spatial Heterogeneity of 18F-FDG Uptake Predicts Treatment Outcome of Pyrotinib in Patients with HER2-Positive Metastatic Breast Cancer.

Authors:  Chengcheng Gong; Cheng Liu; Zhonghua Tao; Jian Zhang; Leiping Wang; Jun Cao; Yannan Zhao; Yizhao Xie; Xichun Hu; Zhongyi Yang; Biyun Wang
Journal:  Cancers (Basel)       Date:  2022-08-17       Impact factor: 6.575

  5 in total

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