FDG uptake heterogeneity evaluated by fractal analysis improves the differential diagnosis of pulmonary nodules

European Journal of Radiology

Volumn 83, Issue 4, 2014, Pages 715-719

  Miwa, Kenta ^a,b   Inubushi, Masayuki ^c   Wagatsuma, Kei ^a   Nagao, Michinobu ^b   Murata, Taisuke ^a   Koyama, Masamichi ^a   Koizumi, Mitsuru ^a   Sasaki, Masayuki ^b  

^a CANCER INSTITUTE HOSPITAL   (Japan)

^b KYUSHU UNIVERSITY   (Japan)

^c KAWASAKI MEDICAL SCHOOL   (Japan)

Author keywords

Diagnostic accuracy; Non small cell lung cancer; Texture analysis

Indexed keywords

FLUORODEOXYGLUCOSE F 18;

ADULT; AGED; ARTICLE; CANCER SIZE; COMPUTER ASSISTED TOMOGRAPHY; DIAGNOSTIC ACCURACY; DIFFERENTIAL DIAGNOSIS; DRUG UPTAKE; FEMALE; FRACTAL ANALYSIS; HUMAN; LUNG BIOPSY; LUNG NODULE; LUNG NON SMALL CELL CANCER; MAJOR CLINICAL STUDY; MALE; PET-CT SCANNER; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL; QUANTITATIVE ANALYSIS; STANDARDIZED UPTAKE VALUE; VERY ELDERLY;

(18)F-FDG PET/CT; DIAGNOSTIC ACCURACY; NON-SMALL CELL LUNG CANCER; TEXTURE ANALYSIS;

ADULT; AGED; AGED, 80 AND OVER; CARCINOMA, NON-SMALL-CELL LUNG; FEMALE; FLUORODEOXYGLUCOSE F18; HUMANS; LUNG NEOPLASMS; MALE; MIDDLE AGED; MODELS, BIOLOGICAL; POSITRON-EMISSION TOMOGRAPHY; RADIOPHARMACEUTICALS; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SOLITARY PULMONARY NODULE; TOMOGRAPHY, X-RAY COMPUTED;

EID: 84895171498     PISSN: 0720048X     EISSN: 18727727     Source Type: Journal    
DOI: 10.1016/j.ejrad.2013.12.020     Document Type: Article

References (23)

1. S.K. Kim, M. Allen-Auerbach, and J. Goldin et al. Accuracy of PET/CT in characterization of solitary pulmonary lesions J Nucl Med 48 2007 214 220
2. T. Watabe, M. Tatsumi, and H. Watabe et al. Intratumoral heterogeneity of F-18 FDG uptake differentiates between gastrointestinal stromal tumors and abdominal malignant lymphomas on PET/CT Ann Nucl Med 26 2012 222 227
3. C. Sugama, G. Vicky, and S. Musib et al. Quantifying tumour heterogeneity in 18F-FDG PET/CT imaging by texture analysis Eur J Nucl Med Mol Imaging 40 2013 133 140
4. B. Mandelbrot How long is the coast of Britain? Statistical self-similarity and fractal dimension Science 156 1967 636 638
5. T.G. Smith Jr., G.D. Lange, and E.B. Marks Fractal methods and results in cellular morphology: dimensions, lacunarity and multifractals J Neurosci Methods 69 1996 123 136
6. A. Kamiya, and T. Takahashi Quantitative assessments of morphological and functional properties of biological trees based on their fractal nature J Appl Physiol 102 2007 2315 2323
7. B. Sanghera, D. Banerjee, and A. Khan et al. Reproducibility of 2D and 3D fractal analysis techniques for the assessment of spatial heterogeneity of regional blood flow in rectal cancer Radiology 263 2012 865 873
8. S. Kido, and S. Sasaki Fractal analysis for the assessment of pulmonary blood flow on chest radiographs J Thorac Imaging 18 2003 80 86
9. M. Nagao, Y. Sugawara, and M. Ikeda et al. Heterogeneity of posterior limbic perfusion in very early Alzheimer's disease Neurosci Res 55 2006 285 291
10. M. Nagao, K. Murase, and T. Ichiki et al. Quantitative analysis of Technegas SPECT: Evaluation of regional severity of emphysema J Nucl Med 41 2000 590 595
11. U. Russel, J.D. Hanson, and E. Ott Dimension of strange attractors Phys Rev Lett 45 1980 1175 1178
12. R. Lopes, and N. Betrouni Fractal and multifractal analysis: a review Med Image Anal 13 2009 634 649
13. S. Haitao, L. Ning, and G. Lijun et al. Fractal dimension analysis of MDCT images for quantifying the morphological changes of the pulmonary artery tree in patients with pulmonary hypertension Korean J Radiol 12 2011 289 296
14. 18F-FDG PET images predicts response to concomitant radiochemotherapy in esophageal cancer J Nucl Med 52 2011 369 378
15. 18F-FDG PET tumor textural features in non-small cell lung cancer associated with response and survival after chemoradiotherapy? J Nucl Med 54 2013 19 26
16. M. Vaidya, K.M. Creach, and J. Frye et al. Combined PET/CT image characteristics for radiotherapy tumor response in lung cancer Radiother Oncol 102 2012 239 245
17. I. EI Naqa, P. Grigsby, and A. Apte et al. Exploring feature-based approaches in PET images for predicting cancer treatment outcomes Pattern Recognit 42 2009 1162 1171
18. F.H. van Velden, P. Cheebsumon, and M. Yaqub et al. Evaluation of a cumulative SUV-volume histogram method for parameterizing heterogeneous intratumoural FDG uptake in non-small cell lung cancer PET studies Eur J Nucl Med Mol Imaging 38 2011 1636 1647
19. 18F-FDG PET studies for the differentiation of malignant and benign bone lesions J Nucl Med 43 2002 510 518
20. K. Kubota, K. Murakami, and T. Inoue et al. Additional effects of FDG-PET to thin-section CT for the differential diagnosis of lung nodules: a Japanese multicenter clinical study Ann Nucl Med 25 2011 787 795
21. S.M. Srinivas, T. Dhurairaj, and S. Basu et al. A recovery coefficient method for partial volume correction of PET images Ann Nucl Med 34 2009 341 348
22. E. Henriksson, E. Kjellen, and P. Wahlberg et al. 2-Deoxy-2-[18F] fluoro-d-glucose uptake and correlation to intratumoral heterogeneity Anticancer Res 27 2007 2155 2159
23. H. Yu, C. Caldwell, and K. Mah et al. Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning IEEE Trans Med Imaging 28 2009 374 383