Risk Management in Magnetic Resonance: Failure Mode, Effects, and Criticality Analysis

The aim of the study was to perform a risk management procedure in "Magnetic Resonance Examination" process in order to identify the critical phases and sources of radiological errors and to identify potential improvement projects including procedures, tests, and checks to reduce the error occurrence risk. In this study we used the proactive analysis "Failure Mode Effects Criticality Analysis," a qualitative and quantitative risk management procedure; has calculated Priority Risk Index (PRI) for each activity of the process; have identified, on the PRI basis, the most critical activities and, for them, have defined improvement projects; and have recalculated the PRI after implementation of improvement projects for each activity. Time stop and audits are performed in order to control the new procedures. The results showed that the most critical tasks of "Magnetic Resonance Examination" process were the reception of the patient, the patient schedule drafting, the closing examination, and the organization of activities. Four improvement projects have been defined and executed. PRI evaluation after improvement projects implementation has shown that the risk decreased significantly following the implementation of procedures and controls defined in improvement projects, resulting in a reduction of the PRI between 43% and 100%

Radiomic features analysis by digital breast tomosynthesis and contrast-enhanced dual-energy mammography to detect malignant breast lesions

Purpose: To detect malignant breast lesions using radiomic morphological features from Digital Breast Tomosynthesis (DBT) and radiomic textural features from Contrast-enhanced Dual-Energy Digital Mammography (CEDM). Methods: In a 8-month period, we enrolled 72 consecutive patients with breast lesions; their age ranging from 26 to 72 years (mean, 52.2; standard deviation 11.1). Ninety-three breast lesions subjected to CEDM and DBT in cranio caudal (CC) and mediolateral oblique (MLO) view were included: 36 histopathologically proven benign lesions and 59 histopathologically proven malignant lesions were analyzed. We considered a feature set including 23 textural features calculated on CEDM and 14 morphological features extracted by DBT. Non-parametric statistics, receiver operating characteristic with area under curve (AUC), Spearman correlation coefficient and Bonferroni correction were applied. Results: At univariate analysis, the area under ROC was obtained by the best textural feature, the contrast with a value of 0.78. To differentiate malignant lesions with different grading only one textural feature had significant results: median absolute deviation (MAD) (p < 0.01 at Kruskal Wallis test). As a morphological feature by DBT, at univariate analysis, the best area under ROC was obtained by angularity with a value of 0.74. Using morphological parameters there were no statistically significant differences among malignant lesions with different grading. At bivariate analysis using couple combinations of features did not increase the accuracy with respect to single feature. The cross validated decision tree considering the best textural feature (the contrast) and the best morphological feature (the angularity) showed an area under ROC of 0.90, an accuracy of 87.1%, a true positive rate of 84% and a false positive rate of 12%. Considering all texture and morphological metrics with pattern recognition approach was not obtained an increase of diagnostic accuracy. Conclusions: Radiomic textural features from CEDM and radiomic morphological features from DBT have shown a good power to differentiate malignant to benign lesions. A decision tree considering the contrast as textural parameter and the angularity as morphological metric reached the best results (87% of accuracy)

Pain and sleep disturbances in Rett syndrome and other neurodevelopmental disorders

no abstract availabl

Intravoxel incoherent motion model of diffusion weighted imaging and diffusion kurtosis imaging in differentiating of local colorectal cancer recurrence from scar/fibrosis tissue by multivariate logistic regression analysis

Purpose: The aim of the study is to evaluate the potential of Intravoxel incoherent motion model of diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) in the differentiation of local colorectal cancer recurrence (LCR) from scar/fibrosis tissue in patients that underwent chemo-radiation therapy followed by the total mesorectal excision (TME) for locally advanced rectal cancer (LARC). Methods: Fifty-six patients were retrospectively included for the image analysis. Diffusion and perfusion parameters were extracted by DWI data (apparent diffusion coefficient (ADC), pseudo-diffusion coefficient (Dp), perfusion fraction (fp), and tissue diffusivity (Dt)) and DKI data (mean of diffusion coefficient (MD) and mean of diffusional Kurtosis). Wilcoxon-Mann-Whitney U test, receiver operating characteristic (ROC) analyses, and area under ROC curve (AUC) were used in a univariate statistical analysis. Backward stepwise multivariate logistic regression analysis was also performed. Results: LCR was found in 34 patients and treatment related changes such as scar/fibrosis tissue in 22 patients. At univariate analysis, low performance was reached by the mean value of Kurtosis with and AUC of 0.72 and an accuracy of 75%, respectively. Considering a regression model obtained as weighted sum of the ADC, Kurtosis, fp and Dp mean values, reached an AUC of 0.82 with a sensitivity of 72%, a specificity of 93%, and an accuracy of 81%. Conclusions: DWI derived parameters combined with DKI derived metrics in a multivariate model could allow differentiating of local colorectal recurrence from scar/fibrosis tissue after TME of LARC

Use of the International Classification of Functioning, Disability and Health Generic-30 Set for the characterization of outpatients: Italian Society of physical and rehabilitative medicine residents section project

BACKGROUND: The International Classification of Functioning, Disability and Health (ICF) Generic-30 Set (previously referred to as Rehabilitation Set) is a minimal set of ICF categories for reporting and assessing functioning and disability in clinical populations with different health conditions along the continuum of care. Recently, the Italian Society of Physical and Rehabilitation Medicine (SIMFER) developed an Italian modification of the simple and intuitive descriptions (SID) of these categories. This study was the first one to implement the use of the SID in practice. AIM: The main aims of this study are: 1) to implement the use of the ICF in clinical practice and research among Italian Residents in PRM, and 2) to verify if the SID made the application of ICF Generic 30 Set more user-friendly than the original descriptions; 3) to examine the prevalence of functioning problems of patients accessing Rehabilitation Services to serve as reference for the development of an ICF-based clinical data collection tool. DESIGN: Multicenter cross-sectional study. SETTING: Italian Physical Medicine and Rehabilitation (PRM) outpatient rehabilitation services. POPULATION: Patients referring to Italian PRM outpatient rehabilitation services and Italian Residents in PRM. METHODS: Each School of Specialization involved, randomly, received the ICF Generic-30 Set with the original descriptions or with the SID. Residents collected over a 4-month period (April-July 2016) patients data related to the ICF Generic-30 Set categories. Moreover, the residents self-assessed their difficulty in using the ICF Generic-30 Set with the original descriptions or with the SID, through a Numeric Rating Scale (NRS). RESULTS: Ninety-three residents collected functioning data of 864 patients (mean aged 57.7±19.3) with ICF Generic-30 Set: 304 with the original descriptions and 560 with SID. The difficulty in using the ICF Generic-30 Set with SID was rated as lower than using the original descriptions (NRS 2.8±2.5 vs. 3.5±3.1; P&lt;0.001). The most common disease was the back pain (9.6%) and the most common altered ICF categories were b280 (76.3%) and b710 (72.9%). CONCLUSIONS: This multicenter cross-sectional study shown that the ICF Generic-30 Set is a valuable instrument for reporting and assessing functioning and disability in clinical populations with different health conditions and along the continuum of care and that SID facilitate the understanding of the ICF categories and therefore their use in clinical practice. CLINICAL REHABILITATION IMPACT: By increasing the knowledge of ICF among Italian PRM residents, this national survey makes an important step towards the system-wide implementation of ICF in the Italian healthcare system

Evaluation of a quality improvement intervention to reduce anastomotic leak following right colectomy (EAGLE): pragmatic, batched stepped-wedge, cluster-randomized trial in 64 countries

Background Anastomotic leak affects 8 per cent of patients after right colectomy with a 10-fold increased risk of postoperative death. The EAGLE study aimed to develop and test whether an international, standardized quality improvement intervention could reduce anastomotic leaks. Methods The internationally intended protocol, iteratively co-developed by a multistage Delphi process, comprised an online educational module introducing risk stratification, an intraoperative checklist, and harmonized surgical techniques. Clusters (hospital teams) were randomized to one of three arms with varied sequences of intervention/data collection by a derived stepped-wedge batch design (at least 18 hospital teams per batch). Patients were blinded to the study allocation. Low- and middle-income country enrolment was encouraged. The primary outcome (assessed by intention to treat) was anastomotic leak rate, and subgroup analyses by module completion (at least 80 per cent of surgeons, high engagement; less than 50 per cent, low engagement) were preplanned. Results A total 355 hospital teams registered, with 332 from 64 countries (39.2 per cent low and middle income) included in the final analysis. The online modules were completed by half of the surgeons (2143 of 4411). The primary analysis included 3039 of the 3268 patients recruited (206 patients had no anastomosis and 23 were lost to follow-up), with anastomotic leaks arising before and after the intervention in 10.1 and 9.6 per cent respectively (adjusted OR 0.87, 95 per cent c.i. 0.59 to 1.30; P = 0.498). The proportion of surgeons completing the educational modules was an influence: the leak rate decreased from 12.2 per cent (61 of 500) before intervention to 5.1 per cent (24 of 473) after intervention in high-engagement centres (adjusted OR 0.36, 0.20 to 0.64; P &lt; 0.001), but this was not observed in low-engagement hospitals (8.3 per cent (59 of 714) and 13.8 per cent (61 of 443) respectively; adjusted OR 2.09, 1.31 to 3.31). Conclusion Completion of globally available digital training by engaged teams can alter anastomotic leak rates. Registration number: NCT04270721 (http://www.clinicaltrials.gov)