Interventional radiology provides local management of bone metastases (BM) with a palliative intent in most cases, or with a curative intent in selected patients. Its role has rapidly expanded in the last decade, offering new treatment solutions often in combination with surgery, radiation therapy and medical treatments. The aim of the present paper is to increase awareness, acceptance and adoption of interventional radiology procedures for the treatment of BM; and to present the joint position of the Italian College of Musculoskeletal Radiology and the Italian College of Interventional Radiology.

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Objective: The excessive amount of adipose tissue, mainly visceral, determines adiposopathy. With respect to oncogenesis, visceral adipose tissue (VAT) releases secretes adipokines, proinflammatory citokines and growth factors, considered mediating molecules in the development of obesity-related tumors. In this study, we quantify VAT in male patients with clear cell renal cell carcinoma (ccRCC) subgrouped according to the presence or absence of peritumoral collateral vessels. Methods: in this retrospective study, we enrolled 141 male caucasian patients divided into 2 groups: the ccRCC group (n = 106) composed of patients with ccRCC and control group (n = 35). The ccRCC group was further divided into two subgroups: the ccRCCa subgroup which showed absence of collateral vessels (n = 48) and ccRCCp subgroup with collateral vessels (n = 58). Total adipose tissue (TAT) area, VAT area and subcutaneous adipose tissue (SAT) area were measured in the groups and subgroups. VAT/SAT ratio was calculated for each subject. Results: Statistically significant differences were obtained between ccRCC group and control group for TAT area (p < 0.005), VAT area (p < 0.005) and SAT area (p = 0.01). Between ccRCCa subgroup and control group for TAT area (p < 0.001), VAT area (p = 0.005) and SAT area (p = 0.001). Between ccRCCp subgroup and control group for TAT area (p = 0.01) and VAT area (p = 0.01). Conclusion: This study confirms the increase of abdominal, especially visceral, adipose tissue in ccRCC patients and demonstrates a significant VAT accumulation in both categories of patients with and without peritumoral collateral vessels. Advances in knowledge: Visceral adiposity is present in patients with ccRCC regardless the presence of peritumoral collateral vessels, with surprisingly stronger results in the ccRCCa subgroup.

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Background: to evaluate the contribution of edema associated with histological features to the prediction of breast cancer (BC) prognosis using T2-weighted MRI radiomics. Methods: 160 patients who underwent staging 3T-MRI from January 2015 to January 2019, with 164 histologically proven invasive BC lesions, were retrospectively reviewed. Patient data (age, menopausal status, family history, hormone therapy), tumor MRI-features (location, margins, enhancement) and histological features (histological type, grading, ER, PgR, HER2, Ki-67 index) were collected. Of the 160 MRI exams, 120 were considered eligible, corresponding to 127 lesions. T2-MRI were used to identify edema, which was classified in four groups: peritumoral, pre-pectoral, subcutaneous, or diffuse. A semi-automatic segmentation of the edema was performed for each lesion, using 3D Slicer open-source software. Main radiomics features were extracted and selected using a wrapper selection method. A Random Forest type classifier was trained to measure the performance of predicting histological factors using semantic features (patient data and MRI features) alone and semantic features associated with edema radiomics features. Results: edema was absent in 37 lesions and present in 127 (62 peritumoral, 26 pre-pectoral, 16 subcutaneous, 23 diffuse). The AUC-classifier obtained by associating edema radiomics with semantic features was always higher compared to the AUC-classifier obtained from semantic features alone, for all five histological classes prediction (0.645 vs. 0.520 for histological type, 0.789 vs. 0.590 for grading, 0.487 vs. 0.466 for ER, 0.659 vs. 0.546 for PgR, and 0.62 vs. 0.573 for Ki67). Conclusions: radiomic features extracted from tumor edema contribute significantly to predicting tumor histology, increasing the accuracy obtained from the combination of patient clinical characteristics and breast imaging data.