Comparing the diagnostic value of 18F-FDG-PET/CT versus CT for differentiating benign and malignant solitary pulmonary nodules: a meta-analysis

Jia, Yuzhu; Gong, Weihua; Zhang, Zhiping; Tu, Gaofeng; Li, Jiapeng; Xiong, Fanfan; Hou, Hongyan; Zhang, Yunyi; Wu, Meiqian; Zhang, Liping

doi:10.21037/jtd.2019.05.21

Cited by 19 publications

(21 citation statements)

References 67 publications

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“…The standard strategy in this case consists of comparing the uptake value against some absolute or relative threshold: uptake in the nodule higher than background mediastinal activity [65] and/or SUV max > 2.5 are typically considered indicative of malignancy [66]. This approach has demonstrated good sensitivity but rather low specificity (pooled values in a recent meta-analysis [67], respectively, of 89% and 78%). Quantitative assessment of radiotracer uptake by texture analysis has shown to improve the diagnostic accuracy-in particular specificity-compared with SUV max alone [68,69].…”

Section: Discrimination Between Benign and Malignant Pulmonary Nodulesmentioning

confidence: 99%

PET/CT Radiomics in Lung Cancer: An Overview

et al. 2020

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Quantitative extraction of imaging features from medical scans ('radiomics') has attracted a lot of research attention in the last few years. The literature has consistently emphasized the potential use of radiomics for computer-assisted diagnosis, as well as for predicting survival and response to treatment. Radiomics is appealing in that it enables full-field analysis of the lesion, provides nearly real-time results, and is non-invasive. Still, a lot of studies suffer from a series of drawbacks such as lack of standardization and repeatability. Such limitations, along with the unmet demand for large enough image datasets for training the algorithms, are major hurdles that still limit the application of radiomics on a large scale. In this paper, we review the current developments, potential applications, limitations, and perspectives of PET/CT radiomics with specific focus on the management of patients with lung cancer.

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Section: Discrimination Between Benign and Malignant Pulmonary Nodulesmentioning

confidence: 99%

PET/CT Radiomics in Lung Cancer: An Overview

et al. 2020

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“…Uptake parameters from 18 F fluodeoxyglucose (FDG) Positron Emission Tomography (PET henceforth) have also shown good diagnostic performance (accuracy between 65% and 91% in [3,8,[27][28][29][30]) with potential improvements coming from the characterisation of uptake heterogeneity [31,32]. In a recent meta-analysis, Jia et al [33] concluded that CT and PET/CT have both moderate-to-high diagnostic value in patients with SPN, with no significant differences between the two modalities.…”

Section: Introductionmentioning

confidence: 99%

Value of Shape and Texture Features from 18F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation

et al. 2020

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In this paper, we investigate the role of shape and texture features from 18F-FDG PET/CT to discriminate between benign and malignant solitary pulmonary nodules. To this end, we retrospectively evaluated cross-sectional data from 111 patients (64 males, 47 females, age = 67.5 ± 11.0) all with histologically confirmed benign (n=39) or malignant (n=72) solitary pulmonary nodules. Eighteen three-dimensional imaging features, including conventional, texture, and shape features from PET and CT were tested for significant differences (Wilcoxon-Mann-Withney) between the benign and malignant groups. Prediction models based on different feature sets and three classification strategies (Classification Tree, k-Nearest Neighbours, and Naïve Bayes) were also evaluated to assess the potential benefit of shape and texture features compared with conventional imaging features alone. Eight features from CT and 15 from PET were significantly different between the benign and malignant groups. Adding shape and texture features increased the performance of both the CT-based and PET-based prediction models with overall accuracy gain being 3.4–11.2 pp and 2.2–10.2 pp, respectively. In conclusion, we found that shape and texture features from 18F-FDG PET/CT can lead to a better discrimination between benign and malignant lung nodules by increasing the accuracy of the prediction models by an appreciable margin.

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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%

“…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%

“…Two recent meta-analyses compared the diagnostic performance of 18 F-FDG PET/CT with other radiological methods. Jia et al [10] performed an indirect comparison among 18 F-FDG PET/CT and CT for differentiating benign and malignant SPNs. e pooled sensitivity and specificity for 18 F-FDG PET/CT were 89% and 78%, respectively.…”

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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Comparing the diagnostic value of 18F-FDG-PET/CT versus CT for differentiating benign and malignant solitary pulmonary nodules: a meta-analysis

Cited by 19 publications

References 67 publications

PET/CT Radiomics in Lung Cancer: An Overview

PET/CT Radiomics in Lung Cancer: An Overview

Value of Shape and Texture Features from 18F-FDG PET/CT to Discriminate between Benign and Malignant Solitary Pulmonary Nodules: An Experimental Evaluation

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

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