Literature DB >> 31728684

The clinical value of texture analysis of dual-time-point 18F-FDG-PET/CT imaging to differentiate between 18F-FDG-avid benign and malignant pulmonary lesions.

Masatoyo Nakajo1, Megumi Jinguji2, Masaya Aoki3, Atsushi Tani2, Masami Sato3, Takashi Yoshiura2.   

Abstract

OBJECTIVES: To examine whether the texture analysis of dual-time-point (DTP) F-18-fluorodeoxyglucose (18F-FDG)-PET/CT imaging can differentiate between 18F-FDG-avid benign and malignant pulmonary lesions.
METHODS: We compared standardized uptake value (SUV)-related (SUVmax [g/ml] and SUVmean [g/ml]), volumetric (metabolic tumor volume [MTV] [cm3] and total lesion glycolysis [TLG] [g]), and texture (entropy, homogeneity, dissimilarity, intensity variability [IV], size-zone variability [SZV], and zone percentage [ZP]) (MTV ≥ 5.0 cm3 and SUV ≥ 2.5 g/ml) parameters between 13 benign and 46 malignant lesions using the Mann-Whitney U test. Diagnostic performance was evaluated by receiver operating characteristic (ROC) analysis. Stepwise logistic regression analysis was performed to identify and use the independent variables that correctly differentiate between benign and malignant lesions.
RESULTS: Malignant pulmonary lesions showed significantly higher SUVmax, SUVmean, MTV, TLG, entropy, dissimilarity, IV, and SZV and significantly lower homogeneity and ZP than benign pulmonary lesions (all p < 0.05) in both early and delayed images. Their areas under the ROC curves (AUCs) ranged between 0.69 and 0.94, and diagnostic accuracies between 64.4% and 93.2%. Entropy-early (p = 0.014), SUVmean-delay (p = 0.039), and dissimilarity-delay (p = 0.027) were independent parameters, and combined use of them yielded the highest AUC (0.98) with 100% sensitivity (46/46), 84.6% specificity (11/13), and 96.7% (57/59) accuracy for distinguishing between benign and malignant lesions.
CONCLUSIONS: The individual early and delayed SUV-related, volumetric, and texture parameters showed a wide range of accuracy. Combined use of independent parameters extracted from DTP imaging might yield a high diagnostic accuracy with balanced sensitivity and specificity to differentiate between benign and malignant 18F-FDG-avid pulmonary lesions. KEY POINTS: • Malignant pulmonary lesions showed significantly higher SUV-related (SUVmax and SUVmean) and volumetric (MTV and TLG) parameters than benign pulmonary lesions in both early and delayed images. • Malignant pulmonary lesions showed significantly more heterogeneous18F-FDG uptake than benign pulmonary lesions in both early and delayed images. • Combined use of independent parameters extracted from DTP imaging might yield a high diagnostic accuracy to differentiate between benign and malignant18F-FDG-avid pulmonary lesions.

Entities:  

Keywords:  18F-FDG; Differential diagnosis; Lung neoplasm; Positron emission tomography computed tomography

Mesh:

Substances:

Year:  2019        PMID: 31728684     DOI: 10.1007/s00330-019-06463-7

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  37 in total

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Authors:  N C Gupta; A R Frank; N A Dewan; L S Redepenning; M L Rothberg; J A Mailliard; J J Phalen; J J Sunderland; M P Frick
Journal:  Radiology       Date:  1992-08       Impact factor: 11.105

2.  Index for rating diagnostic tests.

Authors:  W J YOUDEN
Journal:  Cancer       Date:  1950-01       Impact factor: 6.860

3.  Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies.

Authors:  Floris H P van Velden; Patsuree Cheebsumon; Maqsood Yaqub; Egbert F Smit; Otto S Hoekstra; Adriaan A Lammertsma; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2011-05-27       Impact factor: 9.236

4.  Autoclustering of Non-small Cell Lung Carcinoma Subtypes on (18)F-FDG PET Using Texture Analysis: A Preliminary Result.

Authors:  Seunggyun Ha; Hongyoon Choi; Gi Jeong Cheon; Keon Wook Kang; June-Key Chung; Euishin Edmund Kim; Dong Soo Lee
Journal:  Nucl Med Mol Imaging       Date:  2014-06-11

5.  Accuracy of positron emission tomography for diagnosis of pulmonary nodules and mass lesions: a meta-analysis.

Authors:  M K Gould; C C Maclean; W G Kuschner; C E Rydzak; D K Owens
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6.  Prognostic Significance of Intratumoral Metabolic Heterogeneity on 18F-FDG PET/CT in Pathological N0 Non-Small Cell Lung Cancer.

Authors:  Do-Hoon Kim; Ji-Hoon Jung; Seung Hyun Son; Choon-Young Kim; Chae Moon Hong; Jong-Ryool Oh; Shin Young Jeong; Sang-Woo Lee; Jaetae Lee; Byeong-Cheol Ahn
Journal:  Clin Nucl Med       Date:  2015-09       Impact factor: 7.794

7.  Focal pulmonary abnormalities: evaluation with F-18 fluorodeoxyglucose PET scanning.

Authors:  E F Patz; V J Lowe; J M Hoffman; S S Paine; P Burrowes; R E Coleman; P C Goodman
Journal:  Radiology       Date:  1993-08       Impact factor: 11.105

8.  Predictive and prognostic value of metabolic tumour volume and total lesion glycolysis in solid tumours.

Authors:  Christophe Van de Wiele; Vibeke Kruse; Peter Smeets; Mike Sathekge; Alex Maes
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-11-14       Impact factor: 9.236

9.  Fluorine-18-fluorodeoxyglucose uptake in pneumonia.

Authors:  L O Kapucu; C C Meltzer; D W Townsend; R J Keenan; J D Luketich
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Review 10.  PET Radiomics in NSCLC: state of the art and a proposal for harmonization of methodology.

Authors:  M Sollini; L Cozzi; L Antunovic; A Chiti; M Kirienko
Journal:  Sci Rep       Date:  2017-03-23       Impact factor: 4.379

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-02-05       Impact factor: 9.236

2.  Effects of Tracer Uptake Time in Non-Small Cell Lung Cancer 18F-FDG PET Radiomics.

Authors:  Guilherme D Kolinger; David Vállez García; Gerbrand Maria Kramer; Virginie Frings; Gerben J C Zwezerijnen; Egbert F Smit; Adrianus Johannes de Langen; Irène Buvat; Ronald Boellaard
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3.  Prognostic Value of Dual-Time-Point [18F]FDG PET/CT for Predicting Distant Metastasis after Treatment in Patients with Non-Small Cell Lung Cancer.

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Journal:  J Pers Med       Date:  2022-04-07

4.  18F-FDG texture analysis predicts the pathological Fuhrman nuclear grade of clear cell renal cell carcinoma.

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5.  Different Prognostic Values of Dual-Time-Point FDG PET/CT Imaging Features According to Treatment Modality in Patients with Non-Small Cell Lung Cancer.

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6.  Diagnostic Performance of Machine Learning Models Based on 18F-FDG PET/CT Radiomic Features in the Classification of Solitary Pulmonary Nodules.

Authors:  Yavuz Sami Salihoğlu; Rabiye Uslu Erdemir; Büşra Aydur Püren; Semra Özdemir; Çağlar Uyulan; Türker Tekin Ergüzel; Hüseyin Ozan Tekin
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7.  The value of diffusion kurtosis imaging, diffusion weighted imaging and 18F-FDG PET for differentiating benign and malignant solitary pulmonary lesions and predicting pathological grading.

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8.  Radiomics model of dual-time 2-[18F]FDG PET/CT imaging to distinguish between pancreatic ductal adenocarcinoma and autoimmune pancreatitis.

Authors:  Zhaobang Liu; Ming Li; Changjing Zuo; Zehong Yang; Xiaokai Yang; Shengnan Ren; Ye Peng; Gaofeng Sun; Jun Shen; Chao Cheng; Xiaodong Yang
Journal:  Eur Radiol       Date:  2021-03-06       Impact factor: 5.315

9.  Texture Analysis Improves the Value of Pretreatment 18F-FDG PET/CT in Predicting Interim Response of Primary Gastrointestinal Diffuse Large B-Cell Lymphoma.

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10.  The Role of Histogram-Based Textural Analysis of 18F-FDG PET/CT in Evaluating Tumor Heterogeneity and Predicting the Prognosis of Invasive Lung Adenocarcinoma.

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  10 in total

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