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Ability of 18F-FDG PETCT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma
Joint Authors
Zhu, Sha
Ma, Xuelei
Ou, Xuejin
Wang, Jian
Zhou, Ruofan
Pang, Fuwen
Zhou, Yi
Tian, Rong
Source
Contrast Media & Molecular Imaging
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-02-25
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Abstract EN
P urpose.
To investigate the value of SUV metrics and radiomic features based on the ability of 18F-FDG PET/CT in differentiating between breast lymphoma and breast carcinoma.
Methods.
A total of 67 breast nodules from 44 patients who underwent 18F-FDG PET/CT pretreatment were retrospectively analyzed.
Radiomic parameters and SUV metrics were extracted using the LIFEx package on PET and CT images.
All texture parameters were divided into six groups: histogram (HISTO), SHAPE, gray-level co-occurrence matrix (GLCM), gray-level run-length matrix (GLRLM), neighborhood gray-level different matrix (NGLDM), and gray-level zone-length matrix (GLZLM).
Receiver operating characteristics (ROC) curves were generated to evaluate the discriminative ability of each parameter, and the optimal parameter in each group was selected to generate a new predictive variable by using binary logistic regression.
PET predictive variable, CT predictive variable, the combination of PET and CT predictive variables, and SUVmax were compared in terms of areas under the curve (AUCs), sensitivity, specificity, and accuracy.
Results.
Except for SUVmin (p=0.971), the averages of FDG uptake metrics of lymphoma were significantly higher than those of carcinoma (p≤0.001), with the following median values: SUVmean, 4.75 versus 2.38 g/ml (P<0.001); SUVstd, 2.04 versus 0.88 g/ml (P=0.001); SUVmax, 10.69 versus 4.76 g/ml (P=0.001); SUVpeak, 9.15 versus 2.78 g/ml (P<0.001); TLG, 42.24 versus 9.90 (P<0.001).
In the ROC curves analysis based on radiomic features and SUVmax, the AUC for SUVmax was 0.747, for CT texture parameters was 0.729, for PET texture parameters was 0.751, and for the combination of CT and PET texture parameters was 0.771.
Conclusion.
The SUV metrics in 18FDG PET/CT images showed a potential ability in the differentiation between breast lymphoma and carcinoma.
The combination of SUVmax and PET/CT texture analysis may be promising to provide an effectively discriminant modality for the differential diagnosis of breast lymphoma and carcinoma, even for the differentiation of subtypes of lymphoma.
American Psychological Association (APA)
Ou, Xuejin& Wang, Jian& Zhou, Ruofan& Zhu, Sha& Pang, Fuwen& Zhou, Yi…[et al.]. 2019. Ability of 18F-FDG PETCT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma. Contrast Media & Molecular Imaging،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130259
Modern Language Association (MLA)
Ou, Xuejin…[et al.]. Ability of 18F-FDG PETCT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma. Contrast Media & Molecular Imaging No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1130259
American Medical Association (AMA)
Ou, Xuejin& Wang, Jian& Zhou, Ruofan& Zhu, Sha& Pang, Fuwen& Zhou, Yi…[et al.]. Ability of 18F-FDG PETCT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma. Contrast Media & Molecular Imaging. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1130259
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1130259