Prognostic significance of metabolic parameters measured by 18F-fluorodeoxyglucose positron emission tomography/computed tomography in patients with small cell lung cancer

Zhu, Dongshan; Ma, Ting; Niu, Zuoxing; Zheng, Jie; Han, Anqin; Zhao, Shuqiang; J, Yu

doi:10.1016/j.lungcan.2011.01.007

Cited by 80 publications

(94 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Functional imaging provides metabolic and volumetric information, such as MTV, which represents the number of highly metabolic tumor cells, making it possible to more accurately reflect tumor burden than other prognostic factors. In SCLC, it has been reported that gross tumor volume 18 F-FDG PET/CT, as part of radiation treatment planning, and MTV and iSUV (product of MTV and SUVmean) predict prognosis [9,18,33]. In contrast, SUVmax and avgSUVmean, which are commonly used objective 18 F-FDG PET/CT parameters, were not correlated with cell proliferative activity as determined by Ki-67 immunostaining.…”

Section: Discussionmentioning

confidence: 99%

“…The standardized uptake value (SUV), which is the most popular semiquantitative parameter to objectify PET/CT data, reflects the glucose metabolic rate and is used to characterize tumor metabolism in vivo. Metabolic tumor volume (MTV), defined as the volume of tumor tissue with increased 18 F-FDG uptake, and total lesion glycolysis (TLG), defined as the product of MTV and mean SUV (SUVmean), are also important independent prognostic factors in various cancers [9][10][11][12]. The degree of 18 F-FDG tumor uptake on PET/CT as measured by SUV is correlated with cell proliferative activity as determined by the Ki-67 expression level in patients with NSCLC [13][14][15].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Correlation between Semi-Quantitative 18F-FDG PET/CT Parameters and Ki-67 Expression in Small Cell Lung Cancer

Park

Lee

Rhee

et al. 2016

Nucl Med Mol Imaging

View full text Add to dashboard Cite

Purpose The aim of this study was to evaluate the relationship between semiquantitative parameters on 18 F-FDG PET/CT including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) and the expression level of Ki-67 in small-cell lung cancer (SCLC). Methods Ninety-four consecutive patients with SCLC were enrolled in this study. They underwent 18 F-FDG PET/CT for initial evaluation of SCLC, and we measured SUVmax, avgSUVmean, MTVsum, and TLGtotal on 18 F-FDG PET/ CT images. The protein expression of Ki-67 was examined by immunohistochemical staining. Results Significant correlations were found between the MTVsum and Ki-67 labeling index (r=0.254, p=0.014) and the TLGtotal and Ki-67 labeling index (r=0.239, p=0.020). No correlation was found between the SUVmax and Ki-67 labeling index (r=0.116, p=0.264) and the avgSUVmean and Ki-67 labeling index (r=0.031, p=0.770). Dividing the Ki-67 expression level into three categories, it was suggested that increasing Ki-67 expression level caused a stepwise increase in the MTVsum and TLGtotal. (p=0.028 and 0.039, respectively), but not the SUVmax and avgSUVmean (p= 0.526 and 0.729, respectively). Conclusion In conclusion, the volume-based parameters of 18 F-FDG PET/CT correlate with immunohistochemical staining of Ki-67 in SCLC. Measurement of the MTVsum and TLGtotal by 18 F-FDG PET/CT might be a simple, noninvasive, and useful method to determine the proliferative potential of cancer cells.

show abstract

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Correlation between Semi-Quantitative 18F-FDG PET/CT Parameters and Ki-67 Expression in Small Cell Lung Cancer

Park

Lee

Rhee

et al. 2016

Nucl Med Mol Imaging

View full text Add to dashboard Cite

show abstract

“…MTV and TLG of 18 F-FDG PET/CT are suggested to be better indicators of whole tumor burden than SUVmax, and proved to be prognostic factors at diagnosis in a variety of malignancies. [12][13][14][15][16][17]. Moreover, these indices demonstrated the possibility of predicting chemotherapy effect in osteogenic sarcoma, not only at the end of the neoadjuvant chemotherapy [18,19], but also after the second cycle [20].…”

mentioning

confidence: 91%

Usefulness of Combined Metabolic–Volumetric Indices of 18F-FDG PET/CT for the Early Prediction of Neoadjuvant Chemotherapy Outcomes in Breast Cancer

Kim

et al. 2012

Nucl Med Mol Imaging

View full text Add to dashboard Cite

Purpose The purpose of this study was to investigate the usefulness of metabolic-volumetric indices of 18 Ffluorodeoxy-D-glucose ( 18 F-FDG) positron emission tomography/computed tomography (PET/CT) for the evaluation of neoadjuvant chemotherapy outcomes in breast cancer. Methods Twenty-four patients with locally advanced breast cancer were enrolled in the study. They underwent baseline 18 F-FDG PET/CT scan and received four or six cycles of neoadjuvant chemotherapy, interim 18 F-FDG PET/CT was done after second cycle of chemotherapy. Maximum standardized uptake value (SUVmax), metabolic tumor volume (MTV), and total lesion glycolysis (TLG) of the primary lesions were calculated. Reduction rates of these parameters were obtained between baseline and interim 18 F-FDG PET/ CT. Chemotherapy outcomes were assessed using tumor size reduction rate and histological grading system (Miller and Payne system). Reduction rates of SUVmax, MTV, and TLG correlated with chemotherapy outcomes. Results MTV and TLG reduction rates showed significant correlation with tumor size reduction rate (R00.68, P0 0.0004; R00.62, P00.002, respectively). However, SUVmax reduction rate showed no significant correlation. MTV and TLG reduction rates were significantly higher in responders than nonresponders, as determined by Miller and Payne system (P<0.0007, P<0.002). However, SUVmax reduction rate showed no significant difference. On ROC analysis, the area under the MTV and TLG curves was 0.886, and that of SUVmax was 0.743. Sensitivity, specificity, positive predictive value, and negative predictive value to predict histopathologic response were the same for MTV and TLG, and the values were 100 %, 85.7 %, 83.3 %, and 100 %, respectively (at the reduction rate of 93.2 % for MTV, and 95.8 % for TLG). Conclusion Changes of metabolic-volumetric indices successfully reflected the neoadjuvant chemotherapy outcomes. MTV and TLG could be robust indices in discriminating pathologic responder as SUVmax, after neoadjuvant chemotherapy.

show abstract

“…More recently, following a retrospective evaluation of a small series of SCLC patients, it was suggested that volumetric parameters such as total lesion glycolysis could be a better prognostic indicator than SUVmax, as reported for other cancers [24]. Zhu et al [25] confirmed this finding in a larger retrospective series of patients with pathologically proven SCLC who underwent pretreatment FDG PET/ CT. In their study, the prognostic significance of several metabolic parameters was evaluated.…”

mentioning

confidence: 77%

FDG PET/CT metabolic tumour volume in small-cell lung cancer: better staging and prognostic stratification for an improved therapeutic strategy

Ceresoli

2012

Eur J Nucl Med Mol Imaging

View full text Add to dashboard Cite

Prognostic significance of metabolic parameters measured by 18F-fluorodeoxyglucose positron emission tomography/computed tomography in patients with small cell lung cancer

Cited by 80 publications

References 26 publications

Correlation between Semi-Quantitative 18F-FDG PET/CT Parameters and Ki-67 Expression in Small Cell Lung Cancer

Correlation between Semi-Quantitative 18F-FDG PET/CT Parameters and Ki-67 Expression in Small Cell Lung Cancer

Usefulness of Combined Metabolic–Volumetric Indices of 18F-FDG PET/CT for the Early Prediction of Neoadjuvant Chemotherapy Outcomes in Breast Cancer

FDG PET/CT metabolic tumour volume in small-cell lung cancer: better staging and prognostic stratification for an improved therapeutic strategy

Contact Info

Product

Resources

About