Whole-body magnetic resonance imaging (WB-MRI) is currently recommended for cancer screening in adult and paediatric subjects with cancer predisposition syndromes, representing a substantial aid for prolonging health and survival of these subjects with a high oncological risk. Additionally, the number of studies exploring the use of WB-MRI for cancer screening in asymptomatic subjects from the general population is growing. The primary aim of this review was to analyse the acquisition protocols found in the literature, in order to identify common sequences across published studies and to discuss the need of additional ones for specific populations. The secondary aim of this review was to provide a synthesis of current recommendations regarding the use of WB-MRI for cancer screening.

Whole-body magnetic resonance imaging: technique, guidelines and key applications Paul Summers1, Giulia Saia1,2, Alberto Colombo1, Paola Pricolo1,

Background: Combination therapy is used to widen the antimicrobial spectrum, minimize toxicity and prevent the emergence of resistant mutants. Methods: Synergy between levofloxacin or ciprofloxacin and ceftazidime, cefepime, imipenem, piperacillin-tazobactam and amikacin was evaluated by checkerboard assay with 55 strains and by time-kill curves with 8 strains of Pseudomonasaeruginosa and Acinetobacter spp. Results: In the checkerboard assay, synergy and additivity were the most frequent effects observed among all the combinations against P. aeruginosa and Acinetobacter spp., with no significant differences between the two fluoroquinolones. No antagonism was observed. In the time-kill curves, synergy was evidenced against all the tested strains, at least for one combination at one of the time points considered. Levofloxacin and ciprofloxacin combined with ceftazidime, as well as levofloxacin plus amikacin, were synergistic for all the strains tested. Conclusion: Combinations of fluoroquinolones with β-lactams or amikacin show an enhanced activity against P. aeruginosa and Acinetobacter spp.

Sylgard((R)) is a biocompatible elastomer which has been widely used in biomedical applications including in simulations of the mechanical response of soft tissues and mechanotransduction investigations. In this study the effect of fabrication parameters including base to curing agent ratio and curing time on the mechanical response of Sylgard((R)) was investigated and a novel fabrication technique for the production of mock arteries with highly uniform thickness, which is essential for mechanotransduction studies, is described. Finally a method for the surface treatment of Sylgard((R)) using sulphuric acid and fibronectin to enhance smooth muscle cell (SMC) adhesion is proposed and examined in vitro. Sylgard((R)) mock coronary arteries fabricated using the proposed technique exhibited a mechanical response close to arterial tissue with cell adhesion enhanced using the surface treatment techniques described.

Background Current predictive tools to estimate the risk of biochemical recurrence (BCR) after treatment of prostate cancer do not consider multiparametric MRI (mpMRI) information. Purpose To develop a risk prediction tool that considers mpMRI findings to assess the risk of 5-year BCR after radical prostatectomy. Materials and Methods In this retrospective single-center analysis in 1459 patients with prostate cancer who underwent mpMRI before radical prostatectomy (in 2012-2015), the outcome of interest was 5-year BCR (two consecutive prostate-specific antigen [PSA] levels > 0.2 ng/mL [0.2 µg/L]). Patients were randomly divided into training (70%) and test (30%) sets. Kaplan-Meier plots were applied to the training set to estimate survival probabilities. Multivariable Cox regression models were used to test the relationship between BCR and different sets of exploratory variables. The C-index of the final model was calculated for the training and test sets and was compared with European Association of Urology, University of California San Francisco Cancer of the Prostate Risk Assessment, Memorial Sloan-Kettering Cancer Center, and Partin risk tools using the partial likelihood ratio test. Five risk categories were created. Results The median duration of follow-up in the whole cohort was 59 months (IQR, 32-81 months); 376 of 1459 (25.8%) patients had BCR. A multivariable Cox regression model (referred to as PIPEN, and composed of PSA density, International Society of Urological Pathology grade group, Prostate Imaging Reporting and Data System category, European Society of Urogenital Radiology extraprostatic extension score, nodes) fitted to the training data yielded a C-index of 0.74, superior to that of other predictive tools (C-index 0.70 for all models; P ≤ .01) and a median higher C-index on 500 test set replications (C-index, 0.73). Five PIPEN risk categories were identified with 5-year BCR-free survival rates of 92%, 84%, 71%, 56%, and 26% in very low-, low-, intermediate-, high-, and very high-risk patients, respectively (all P < .001). Conclusion A five-item model for predicting the risk of 5-year BCR after radical prostatectomy for prostate cancer was developed and internally verified, and five risk categories were identified. © RSNA, 2023 Supplemental material is available for this article. See also the editorial by Aguirre and Ortegón in this issue.