18F-FDG PET/CT and circulating tumor cells in treatment-naive patients with non-small-cell lung cancer

Zhang, Fengxian; Wu, Xiaodong; Zhu, Junjie; Huang, Yan; Song, Xiao; Jiang, Lei

doi:10.1007/s00259-021-05260-z

Cited by 16 publications

(13 citation statements)

References 31 publications

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“…2-[ 18 F]FDG PET/CT imaging, a noninvasive method, has been widely used in the clinical management of lung cancer (15,16). Alteration of tumor glucose metabolism is often determined by the concentration of 2-[ 18 F]FDG, usually described as SUVmax (17). Generally, the malignant lesions have higher SUVmax than the benign ones, which are consistent with our findings.…”

Section: Discussionsupporting

confidence: 89%

Quantitative assessment of intratumoral 2-[18F]FDG metabolic spatial distribution in hypermetabolic pulmonary lesions in PET/CT

Jiang

Xue

Lin

et al. 2022

Quant Imaging Med Surg

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Background: The purpose of this study was to evaluate the value of quantitative assessment of intratumoral 2-deoxy-2-[ 18 F]fluoro-D-glucose (2-[ 18 F]FDG) metabolic spatial distribution (Q-FMSD) in differentiating pulmonary lesions with high 2-[ 18 F]FDG uptake. Methods:In this retrospective study, a total of 564 patients with pulmonary lesions who underwent 2-[ 18 F] FDG positron emission tomography/computed tomography (PET/CT) examination were analyzed. The maximum standard uptake value (SUVmax) of the proximal (pSUVmax) and distal (dSUVmax) regions of the lesions were measured, respectively. Then, Q-FMSD was obtained by the ratio of pSUVmax to dSUVmax.The diagnostic performance and area under receiver operating characteristic curve (AUC) were compared between Q-FMSD and conventional PET/CT methods for the diagnosis of pulmonary lesions with high 2-[ 18 F]FDG uptake.Results: The malignant tumors presented significantly higher Q-FMSD values than the benign lesions (1.11 vs. 0.94, P<0.001), which indicated that the 2-[ 18 F]FDG uptake in the proximal region was significantly higher than that of distal region in malignant lesions when compared with benign ones. For distinguishing hypermetabolic pulmonary malignant and benign lesions, the sensitivity, specificity and accuracy of Q-FMSD were 96.9%, 83.2% and 92.7%, respectively. Compared with other traditional methods, Q-FMSD presented significantly higher specificity than visual PET/CT (61.8%, P<0.001), retention index (RI) (33.8%, P<0.001) and SUVmax (11.0%, P<0.001). The AUC of Q-FMSD was 0.920, which was obviously larger than that of the SUVmax (0.587, P<0.001), RI (0.701, P<0.001), and visual PET/CT (0.781, P<0.001).Conclusions: Q-FMSD provides a simply and quantitative indicator for differentiating hypermetabolic pulmonary lesions with higher diagnostic performance than conventional PET/CT methods. Therefore, Q-FMSD should be recommended as a new promising marker to improve the diagnostic performance of hypermetabolic pulmonary lesions in clinical practice.

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Section: Discussionsupporting

confidence: 89%

Quantitative assessment of intratumoral 2-[18F]FDG metabolic spatial distribution in hypermetabolic pulmonary lesions in PET/CT

Jiang

Xue

Lin

et al. 2022

Quant Imaging Med Surg

View full text Add to dashboard Cite

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“…Maximum standardized uptake volume (SUV max ), mean SUV (SUV mean ), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) were calculated by selecting a Volume of Interest (VOI) in 3D mode using vendor-provided software at a PHILIPS EBW workstation. SUV(g/mL) = [measured activity concentration (Bq/mL)/ (injected activity [Bq]/body weight [kg] • 1000)], TLG(g) = SUV mean (g/mL) • MTV (cm 3 , [19]) (Units of these metabolic parameters are omitted for convenience below [20]). MTV was estimated for each primary CRC lesion with 40% of SUV max as threshold and manual adjustment was applied when necessary to avoid nearby high physiologic uptake such as the bladder [21].…”

Section: Quantitative Pet Parameter Computationmentioning

confidence: 99%

Metabolic activity via 18F-FDG PET/CT is predictive of microsatellite instability status in colorectal cancer

Song

Yang

et al. 2022

BMC Cancer

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Purpose Identification of microsatellite instability high (MSI-H) colorectal cancer (CRC) is crucial for screening patients most likely to benefit from immunotherapy. We aim to investigate whether the metabolic characteristics is related to MSI status and can be used to predict the MSI-H CRC. Methods A retrospective analysis was conducted on 420 CRC patients who were identified via [18F]fluorodeoxyglucose (18F-FDG) positron emission tomography (PET)/computed tomography(CT) prior to therapy. Maximum standardized uptake (SUVmax), mean standardized uptake (SUVmean), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of the primary tumor were calculated and compared between MSI-H and microsatellite stability (MSS). Predictive factors of MSI status were selected from metabolic parameters and clinicopathological profiles via a multivariate analysis. Results Of 420 colorectal cancers, 44 exhibited a high incidence of MSI. Both MTV and TLG were significantly higher in MSI-H group compared with the MSS group (P = 0.004 and P = 0.010, respectively). Logistic regression analysis indicated that CRC with MSI-H were related to younger age (P = 0.013), primary lesion located at right hemi-colon (P < 0.001) and larger MTV on PET/CT imaging (P = 0.019). MTV more than 32.19 of colorectal cancer was linked to the presence of MSI (P = 0.019). Conclusion Tumor metabolic burden were higher in MSI-H CRC which may be useful for predicting the MSI status of CRC patient and thus aid in determination of immunotherapy for patients with CRC.

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“…In the present study, IL-17A was significantly upregulated in TILs of NSCLC specimens and the main source of it was γδT cells. Moreover, CYFRA 21-1 is a prominent marker for NSCLC with the outstanding sensitivity and specificity [ 19 ], and we found that the abundance of γδT17 cells was significantly higher in NSCLC patients expressing higher serum levels of CYFRA 21-1 and with lymph node metastasis, revealing that γδT17 cells were associated with the progression of NSCLC.…”

Section: Discussionmentioning

confidence: 97%

Distribution and Clinical Significance of IL-17A in Tumor-Infiltrating Lymphocytes of Non-Small Cell Lung Cancer Patients

Xu¹,

Xing²,

Shang³

et al. 2022

Pathol. Oncol. Res.

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Objective: To investigate the distribution of IL-17A and its clinical significance in tumor infiltrating lymphocytes (TILs) of patients with non-small cell lung cancer (NSCLC).Methods: Expression level of IL-17A in TILs of 3 paired NSCLC and paracancerous specimens was measured by qRT-PCR. The distribution of IL-17A in immune cell subsets of 15 paired NSCLC and paracancerous specimens was examined by flow cytometry. The correlation between IL-17A and clinical features of NSCLC was identified.Results: IL-17A was significantly upregulated in TILs of NSCLC specimens than those of paracancerous ones (p < 0.0001). Meanwhile, T helper 17 cells (Th17 cells, p < 0.001), IL-17-secreting CD8+ T cells (Tc17 cells, p < 0.001) and IL-17-producing cells (γδT17 cells, p < 0.0001) were significantly abundant in TILs of NSCLC specimens than those of controls, and the higher abundance of the latter was much pronounced than that of the former two. Moreover, γδT17 cells in TILs were significantly correlated with lymphatic metastasis and CYFRA 21-1 level of NSCLC patients (p < 0.05).Conclusion: Tumor infiltrated γδT cells are the main source of IL-17 in early-stage NSCLC, and IL-17 may be a vital regulator involved in the development of NSCLC.

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18F-FDG PET/CT and circulating tumor cells in treatment-naive patients with non-small-cell lung cancer

Cited by 16 publications

References 31 publications

Quantitative assessment of intratumoral 2-[18F]FDG metabolic spatial distribution in hypermetabolic pulmonary lesions in PET/CT

Quantitative assessment of intratumoral 2-[18F]FDG metabolic spatial distribution in hypermetabolic pulmonary lesions in PET/CT

Metabolic activity via 18F-FDG PET/CT is predictive of microsatellite instability status in colorectal cancer

Distribution and Clinical Significance of IL-17A in Tumor-Infiltrating Lymphocytes of Non-Small Cell Lung Cancer Patients

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