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Cited by 32Radiomics and Machine Learning in Medical ImagingMedical Imaging Techniques and ApplicationsLung Cancer Diagnosis and Treatment

Texture analysis of FDG PET/CT for differentiating between FDG-avid benign and metastatic adrenal tumors: efficacy of combining SUV and texture parameters

Nakajo, Masatoyo, Jinguji, Megumi, Nakajo, Masayuki, Shinaji, Tetsuya, Nakabeppu, Yoshiaki, Fukukura, Yoshihiko, Yoshiura, Takashi·2017·Abdominal Radiology
DOI 10.1007/s00261-017-1207-3
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Abstract

Purpose To retrospectively investigate the SUV-related and texture parameters individually and in combination for differentiating between F-18-fluorodeoxyglucose (FDG)-avid benign and metastatic adrenal tumors with PET/CT.Methods Thirteen benign adrenal tumors (BATs) and 22 metastatic adrenal tumors (MATs) with a metabolic tumor volume (MTV) > 10.0 cm 3 and SUV ≥ 2.5 were included. SUVmax, MTV, total lesion glycolysis, and four textural parameters [entropy, homogeneity, intensity variability (IV), and size-zone variability] were obtained. These parameters were compared between BATs and MATs using Mann-Whitney U test, and the diagnostic performance was evaluated by the area under the curve (AUC) values derived from the receiver operating characteristic analysis. The diagnostic value of combining SUV and texture parameters was examined using a scoring system.Results MATs showed significantly higher SUV max (p = 0.004), entropy (p = 0.013), IV (p = 0.006), and lower homogeneity (p = 0.019) than BATs. The accuracies for diagnosing MATs were 82.9, 82.9, 85.7, and 71.4% for SUV max, entropy, IV, and homogeneity, respectively. No significant differences in AUC were found among these parameters (p > 0.05 each). When each parameter was scored as 0 (negative for malignancy) and 1 (positive for malignancy) according to each threshold criterion and the four parameter summed scores 0, 1, and 2 were defined as benignity and 3 and 4 as malignancy, the sensitivity and specificity and accuracy to predict MATs were 100% (22/22), 84.6% (11/13), and 94.3% (33/35), respectively, with 0.97 of the AUC.Conclusion The combined use of SUV max and texture parameters has a potential to significantly increase the diagnostic performance to differentiate between large FDG-avid BATs and MATs.

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Crossref · 10.1007/s00261-017-1207-3

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  • Other groups have shown similar results in small retrospective series evaluating the accuracy of MRI and PET-CT textural features for distinguishing benign and malignant adrenal lesions.

    “Other groups have shown similar results in small retrospective series evaluating the accuracy of MRI and PET-CT textural features for distinguishing benign and malignant adrenal lesions (380,381).”

    From Adrenal incidentaloma (2020) · cites this paper as [381]

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Authors
Nakajo, M., Jinguji, M., Nakajo, M., Shinaji, T., Nakabeppu, Y., Fukukura, Y., & Yoshiura, T.
Affiliations
  • Kagoshima University (JP)
  • University of Würzburg (DE)
Corresponding author
  • Nakajo, Masatoyo
  • Nakajo, Masayuki
ORCID
Venue
Abdominal Radiology
Publisher
Springer Science and Business Media LLC
Published
2017-06-13
Volume
42
Issue
12
Pages
2882-2889
ISSN
  • 2366-004X (ISSN-L)
  • 2366-0058
DOI
10.1007/s00261-017-1207-3
OpenAlex
W2626515729
Cited by
32
References
32
Citations by year
2026: 1 · 2025: 1 · 2024: 2 · 2023: 3 · 2022: 5 · 2021: 5 · 2020: 3 · 2019: 5 · 2018: 5 · 2017: 2
FWCI
3.15
Type
journal article
Language
en
Open access
closed
Licence
www.springer.com/tdm (unspecified)
Locations
  • Abdominal Radiology (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Radiomics and Machine Learning in Medical Imaging
  • Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Medical Imaging Techniques and Applications
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Lung Cancer Diagnosis and Treatment
Keywords
adrenal tumors, adrenal metastasis, benign adrenal tumors, FDG PET/CT, texture analysis, SUVmax, metabolic tumor volume, total lesion glycolysis, entropy (information theory), homogeneity, FDG avidity, malignancy differentiation
MeSH terms
Positron Emission Tomography Computed Tomography, Adolescent, Adrenal Gland Neoplasms, Adult, Aged, Aged, 80 and over, Diagnosis, Differential, Female, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, Retrospective Studies, Radiopharmaceuticals, Fluorodeoxyglucose F18

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