Diagnostic performance of 18F-FDG PET/CT in solitary pulmonary nodules of non-smokers

Karyağar, Savaş

doi:10.5606/tgkdc.dergisi.2017.12011

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…Positron emission tomography has also proved effective in the assessment of suspicious SPN. 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%).…”

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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“…Several studies have proposed predictive models based on a range of combinations of radiomics features from CT, with overall reported accuracy between 70% and 95% [19][20][21][22][23][24][25][26]. 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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“…In the literature, FDG uptake rate of adenocancers with a bronchoalveolar component is significantly lower than that of types without a bronchoalveolar component. [9,25] All 38 lesions identified as malign by PET-CT were pathologically defined as primary lung cancer. Some infective-inflammatory lesions show high F-18 FDG uptake, which can lead to false-positive results.…”

Section: (A) (B) (C)mentioning

confidence: 99%

Quantitative volumetric metabolic measurement of solitary pulmonary nodules by F-18 fluorodeoxyglucose positron emission tomography-computed tomography

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et al. 2019

Turk Gogus Kalp Dama

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Bu çalışmada benign ve malign soliter pulmoner nodülleri ayırmak için F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografide kantitatif volümetrik metabolik ölçümlerin etkisi değerlendirildi.Ça lış mapla nı:F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografi uygulanan, soliter pulmoner nodülleri olan 78 hasta (56 erkek; 22 kadın; ort. yaş 61±11.9 yıl; dağılım, 32-82 yıl) retrospektif olarak değerlendirildi. Hastalar patoloji sonuçlarına göre benign, malign ve metastatik lezyonlar olarak sınıflandırıldı. Metabolik volüm, maksimum standardize tutulum değeri, ortalama standardize tutulum değeri, maksimum metabolik indeks ve ortalama metabolik indeks ölçüldü. Her grup için ortalama, ortanca ve standart hata değerleri hesaplandı. Her grubun karşılaştırılması için nonparametrik testler kullanıldı. Parametrelerin arasındaki ilişki için parsiyel korelasyon analizi kullanıldı. Tüm parametreler için sınır değerler alıcı işletim karakteristik analizi ile elde edildi. Bul gu lar:Yetmiş sekiz lezyonun 10'u benign (%12.8), 38'i primer akciğer karsinomu (%48.7) ve 30'u metastatik akciğer nodülü (%38.5) idi. Tüm parametrelerde benign lezyonlar ile primer akciğer kanseri arasında ve primer akciğer kanseri ve metastatik gruplar arasında anlamlı farklılık vardı (p<0.05). Maksimum standardize tutulum değeri ve maksimum metabolik indeks arasında anlamlı pozitif ilişki (r= 0.73; p<0.05), ortalama standardize tutulum değeri ve ortalama metabolik indeks arasında orta pozitif ilişki (r= 0.56; p<0.05) saptandı. Alıcı işletim karakteristik analizinde, maksimum standardize tutulum değeri ve ortalama standardize tutulum değerinin benign/malign ayrımında en hassas ve özgül yöntemler olduğu bulundu. Sınır değer=2.59 iken maksimum standardize tutulum değeri için duyarlılık ve özgüllük sırasıyla %98.0 ve %91.7 idi. Sınır değer=1.65 iken ortalama standardize tutulum değeri için duyarlılık ve özgüllük sırasıyla %94.0 ve %91.7 idi. So nuç:Maksimum metabolik indeks değeri F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografi ile benign/malign soliter pulmoner nodüllerin ayrımında maksimum standardize tutulum değeri ile yüksek derecede ilişkilidir. Maksimum metabolik indeks primer/metastatik malign lezyonların ayrımında da kullanılabilir.Anah tar söz cük ler: F-18 florodeoksiglikoz pozitron emisyon tomografisi-bilgisayarlı tomografi, metabolik indeks, soliter pulmoner nodül, standardize tutulum değeri.

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Diagnostic performance of 18F-FDG PET/CT in solitary pulmonary nodules of non-smokers

Cited by 4 publications

References 16 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

Quantitative volumetric metabolic measurement of solitary pulmonary nodules by F-18 fluorodeoxyglucose positron emission tomography-computed tomography

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