Diagnostic performance of fluorine-18 fluorodeoxyglucose positron emission tomography in the management of solitary pulmonary nodule: a meta-analysis

Divisi, Duilio; Barone, Mirko; Bertolaccini, Luca; Zaccagna, Gino; Gabriele, Francesca; Crisci, Roberto

doi:10.21037/jtd.2017.12.126

Cited by 23 publications

(19 citation statements)

References 42 publications

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“…This difference may be due to the limited number of our sample. Emphysematous changes seen in the upper zones in malignant lesions, which were significantly more frequent than the patients with benign lesions, and higher frequency of malignant The comparison of DAG-ADC and PET-SUV values, which was the aim of our study, showed that SUV values were significantly higher in malignant lesions and hilar-mediastinal LAPs, while ADC values were shown to be significantly lower, consistent with the literature [17][18][19][20][21]. In our study, we obtained higher sensitivity, positive predictive value, and negative predictive values compared to Liu et al 's study, in the differentiation of malignant nodules from benign nodules, below the cut-off value of 1.143 in the ROC analysis for DAG-ADC min [21].…”

Section: Discussionsupporting

confidence: 91%

“…In addition, intracellular cytoskeleton, organelles, soluble macromolecules, and matrix fibres also affect the diffusion limitation in addition to cell membranes; thus, ADC values are expected to be different in different histopathological circumstances [13]. 18 F-FDG PET/CT evaluates the glucose metabolism in tumours by measuring the administered marked form of glucose that is not metabolised and therefore accumulates in vital cells. Increased FDG uptake reflects the high metabolic activity of the tumour due to increased glycosylation in malignant tumours [14].…”

Section: Discussionmentioning

confidence: 99%

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Comparison of the diagnostic accuracy of diffusion-weighted magnetic resonance imaging and positron emission tomography/computed tomography in pulmonary nodules: a prospective study

Can

Uzan

2019

pjr

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Purpose: Computed tomography (CT) and positron emission tomography (PET) are the mainstay imaging methods in the evaluation and follow-up of pulmonary nodules. But they both have high radiation risk for patients. Diffusionweighted magnetic resonance imaging (DW-MRI), on the other hand, is a radiation free imaging method that gives information about the biological structure of tissues at the molecular level by measuring random movement of water in biological tissues. In this prospective study we aimed to compare the computed tomography characteristics of the nodules in terms of malignancy and to compare the accuracy of DW-MRI and PET/CT results in those patients. Material and methods:Seventy-six patients suspicious for lung cancer on thorax CT imaging were prospectively further evaluated by thorax diffusion-weighted imaging and PET/CT. Pulmonary lesion characteristics, apparent diffusion coefficient (ADC), and maximum standardised uptake values (SUV max ) were compared with histopathological results. Results:There was statistically significant moderate negative correlation between PET-SUV max and ADC values of lung lesions. ADC values below the cut-off was 97.1%, specificity was 97.6%, positive predictive value was 97.1%, and the negative predictive value was 97.6%.Conclusions: DAG-MRI and PET/CT have similar success in the differentiation of benign and malignant lung lesions.

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Section: Discussionsupporting

confidence: 91%

Section: Discussionmentioning

confidence: 99%

Comparison of the diagnostic accuracy of diffusion-weighted magnetic resonance imaging and positron emission tomography/computed tomography in pulmonary nodules: a prospective study

Can

Uzan

2019

pjr

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“…From the comprehensive computer literature search from PubMed/MEDLINE and Cochrane Library databases, 17 meta-analyses were selected and retrieved in full-text version [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18][19][20]. e characteristics of the selected articles are summarized and presented in Table 1 and summarized as follows.…”

Section: Resultsmentioning

confidence: 99%

“…Recently, Divisi et al [9] confirmed these findings reporting a pooled sensitivity and specificity of 81.9% and 62.4%, respectively, suggesting that 18 F-FDG PET/CT has good diagnostic accuracy in SPN evaluation, but it should not be considered as a discriminatory test rather than a method to be included in a clinical and diagnostic pathway.…”

Section: Characterization Of Solitary Pulmonary Nodules With Singlementioning

confidence: 90%

“…Characterizing SPNs detected incidentally or, as is the case more recently, on CT screening for LC, is a major public health issue. In the last decade, a robust evidence has been produced on the use of single time point (STP) 18 F-FDG PET or PET/CT in the characterization of SPNs [5][6][7][8][9][10][11]. Two examples of 18 F-FDG PET/CT images in the characterization of SPNs are shown in Figure 1.…”

Section: Characterization Of Solitary Pulmonary Nodules With Singlementioning

confidence: 99%

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Diagnostic Performance of PET or PET/CT with Different Radiotracers in Patients with Suspicious Lung Cancer or Pleural Tumours according to Published Meta-Analyses

Lococo

Muoio

Chiappetta

et al. 2020

Contrast Media & Molecular Imaging

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Purpose. Several meta-analyses have reported data about the diagnostic performance of positron emission tomography or positron emission tomography/computed tomography (PET or PET/CT) with different radiotracers in patients with suspicious lung cancer (LC) or pleural tumours (PT). This review article aims at providing an overview on the recent evidence-based data in this setting. Methods. A comprehensive literature search of meta-analyses published in PubMed/MEDLINE and Cochrane Library database from January 2010 through March 2020 about the diagnostic performance of PET or PET/CT with different radiotracers in patients with suspicious LC or PT was performed. This combination of keywords was used: (A) “PET” OR “positron emission tomography” AND (B) “lung” OR “pulmonary” OR “pleur∗” AND (C) meta-analysis. Only meta-analyses on PET or PET/CT in patients with suspicious LC or PT were selected. Results. We have summarized the diagnostic performance of PET or PET/CT with fluorine-18 fluorodeoxyglucose (18F-FDG) and other radiotracers taking into account 17 meta-analyses. Evidence-based data demonstrated a good diagnostic performance of 18F-FDG PET or PET/CT for the characterization of solitary pulmonary nodules (SPNs) or pleural lesions with overall higher sensitivity than specificity. Evidence-based data do not support the routine use of dual time point (DTP) 18F-FDG PET/CT or fluorine-18 fluorothymidine (18F-FLT) PET/CT in the differential diagnosis of SPNs. Even if 18F-FDG PET/CT has high sensitivity and specificity as a selective screening modality for LC, its role in this setting remains unknown. Conclusions. Evidence-based data about the diagnostic performance of PET/CT with different radiotracers for suspicious LC or PT are increasing, with good diagnostic performance of 18F-FDG PET/CT. More prospective multicenter studies and cost-effectiveness analyses are warranted.

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Macrovasculature and positron emission tomography (PET) standardized uptake value in patients with lung cancer

Leader

Zhang

et al. 2021

Medical Physics

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To investigate the relationship between macrovasculature features and the standardized uptake value (SUV) of positron emission tomography (PET), which is a surrogate for the metabolic activity of a lung tumor. Methods: We retrospectively analyzed a cohort of 90 lung cancer patients who had both chest CT and PET-CT examinations before receiving cancer treatment. The SUVs in the medical reports were used. We quantified three macrovasculature features depicted on CT images (i.e., vessel number, vessel volume, and vessel tortuosity) and several tumor features (i.e., volume, maximum diameter, mean diameter, surface area, and density). Tumor size (e.g., volume) was used as a covariate to adjust for possible confounding factors. Backward stepwise multiple regression analysis was performed to develop a model for predicting PET SUV from the relevant image features. The Bonferroni correction was used for multiple comparisons. Results: PET SUV was positively correlated with vessel volume (R = 0.44, p < 0.001) and vessel number (R = 0.44, p < 0.001) but not with vessel tortuosity (R = 0.124, p > 0.05). After adjusting for tumor size, PET SUV was significantly correlated with vessel tortuosity (R = 0.299, p = 0.004) and vessel number (R = 0.224, p = 0.035), but only marginally correlated with vessel volume (R = 0.187, p = 0.079). The multiple regression model showed a performance with an R-Squared of 0.391 and an adjusted R-Squared of 0.355 (p < 0.001). Conclusions: Our investigations demonstrate the potential relationship between macrovasculature and PET SUV and suggest the possibility of inferring the metabolic activity of a lung tumor from chest CT images. K E Y W O R D Slung cancer,macrovasculatures,positron emission tomography (PET),standard update value (SUV)

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Diagnostic performance of fluorine-18 fluorodeoxyglucose positron emission tomography in the management of solitary pulmonary nodule: a meta-analysis

Abstract: The results suggest F-FDG-PET/CT has good diagnostic accuracy in SPNs evaluation; but, it should not be considered as a discriminatory test rather than a method to be included in a clinical and diagnostic pathway.

Cited by 23 publications

References 42 publications

Comparison of the diagnostic accuracy of diffusion-weighted magnetic resonance imaging and positron emission tomography/computed tomography in pulmonary nodules: a prospective study

Comparison of the diagnostic accuracy of diffusion-weighted magnetic resonance imaging and positron emission tomography/computed tomography in pulmonary nodules: a prospective study

Diagnostic Performance of PET or PET/CT with Different Radiotracers in Patients with Suspicious Lung Cancer or Pleural Tumours according to Published Meta-Analyses

Macrovasculature and positron emission tomography (PET) standardized uptake value in patients with lung cancer

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