Ability of 18 F-FDG PET/CT Radiomic Features to Distinguish Breast Carcinoma from Breast Lymphoma

• Published in: Contrast media and molecular imaging 2019, Vol.2019, p.4507694
• Main Authors: Ou, Xuejin, Wang, Jian, Zhou, Ruofan, Zhu, Sha, Pang, Fuwen, Zhou, Yi, Tian, Rong, Ma, Xuelei
• Format: Article
• Language: English
• Subjects: Adult; Aged; Aged, 80 and over; Breast Neoplasms - diagnostic imaging; Carcinoma - diagnostic imaging; Female; Fluorodeoxyglucose F18 - analysis; Humans; Lymphoma - diagnostic imaging; Middle Aged; Positron Emission Tomography Computed Tomography - methods; Positron-Emission Tomography; Retrospective Studies; ROC Curve
• ISSN: 1555-4317

. To investigate the value of SUV metrics and radiomic features based on the ability of F-FDG PET/CT in differentiating between breast lymphoma and breast carcinoma. . A total of 67 breast nodules from 44 patients who underwent F-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 SUV were compared in terms of areas under the curve (AUCs), sensitivity, specificity, and accuracy. . Except for SUVmin ( =0.971), the averages of FDG uptake metrics of lymphoma were significantly higher than those of carcinoma ( ≤ 0.001), with the following median values: SUV , 4.75 versus 2.38 g/ml ( < 0.001); SUV , 2.04 versus 0.88 g/ml ( =0.001); SUV , 10.69 versus 4.76 g/ml ( =0.001); SUV , 9.15 versus 2.78 g/ml ( < 0.001); TLG, 42.24 versus 9.90 ( < 0.001). In the ROC curves analysis based on radiomic features and SUV , the AUC for SUV 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. . The SUV metrics in FDG PET/CT images showed a potential ability in the differentiation between breast lymphoma and carcinoma. The combination of SUV 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.