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Endometriosis is a chronic inflammatory disease that affects about 10% of women, and it is characterized by the presence of endometrial tissue outside the uterine cavity. Associated symptoms are dyspareunia, chronic pelvic pain, and infertility. The diagnosis of endometriosis can be challenging due to various clinical and imaging presentations. Laparoscopy is the gold standard for the diagnosis, but it is an invasive procedure. The literature has increasingly promoted a switch to less invasive imaging techniques, such as ultrasound and magnetic resonance imaging (MRI). The latter, also in relation to the latest technological advances, allows a comprehensive and accurate assessment of the pelvis and it can also identify sites of endometriosis that escape laparoscopic evaluation. Furthermore, MRI has been found to be more accurate than other imaging techniques in relation to its improved sensitivity and specificity in identifying disease sites, also due to the role of new emerging sequences. This article aims to review the current role of advanced MRI applications in the assessment of endometriosis. [ABSTRACT FROM AUTHOR]

(1) Background: Femicide is an increasing phenomenon consisting of the murder of a woman for gender-related reasons. Despite the enactment of new laws aimed at controlling the phenomenon by toughening the penalties and introducing aggravating circumstances, there is an increasing trend that testifies to the persistence of a flaw in the actual measures. (2) Case Presentation. We report the case of the murder of a 32-year-old woman—perpetrated by an ex-husband who refused to accept the end of the marriage—the analysis of which allowed us to frame the case as femicide. (3) Discussion. Despite global awareness of this phenomenon, the identification of risk factors to predict and prevent femicide is of utmost importance. This can be achieved by a multidisciplinary approach involving police officers, legal professionals, hospitals, governmental and nongovernmental organizations, and medico-legal departments aimed at promoting standardized methodologies. (4) Conclusions. We evaluate the contribution of forensic investigations to the identification of key elements that can help frame the murder of a woman as a femicide. Considering the devastating consequences for children who witness this kind of violence within the domestic setting, the planning of more impactful preventive actions is, thus, mandatory to minimize effects on public health. [ABSTRACT FROM AUTHOR]

The investigation of bone injuries is an essential topic in forensics. We sometimes have to deal with charred or dismembered human remains that have lost soft tissue, making it difficult to diagnose the mechanisms of injury that led to death. Our contribution aims to share with the scientific community how we approached two cases of very different bone injuries and the techniques used to differentiate relevant pathology findings of bone fragments. Two cases are analyzed from the case history of the forensic medicine institute of Palermo. PMCT made it possible to differentiate heat bone lesions from traumatic lesions. The stereomicroscope was superior to PMCT in being able to better characterize and evaluate shear injuries, allowing a more accurate measurement of acute lesions. Injury to bone remains can be appropriately investigated with rapid techniques such as PMCT and stereomicroscopy. The presented methodology shows the importance of a multidisciplinary approach when dealing with bone injuries in forensics that could find further applications in other circumstances to answer forensic questions. [ABSTRACT FROM AUTHOR]

Simple Summary: In women affected by advanced ovarian cancer, complete cytoreductive surgery is of paramount important to achieve the best oncological outcomes. In this study, we compared radiologic, laparoscopic, and laparotomic scoring assessments to identify the best strategy to predict the achievement of complete cytoreductive surgery, both in upfront surgery and in neoadjuvant chemotherapy and subsequent surgery. We found that laparoscopic score assessment had a high accuracy for optimal cytoreduction in women affected by advanced ovarian cancer who need to undergo surgical management. Objective: To identify the best method among the radiologic, laparoscopic and laparotomic scoring assessment to predict the outcomes of cytoreductive surgery in patients with advanced ovarian cancer (AOC). Methods: Patients with AOC who underwent pre-operative computed tomography (CT) scan, laparoscopic evaluation, and cytoreductive surgery between August 2016 and February 2021 were retrospectively reviewed. Predictive Index (PI) score and Peritoneal Cancer Index (PCI) scores were used to estimate the tumor load and predict the residual disease in the primary debulking surgery (PDS) and interval debulking surgery (IDS) after neoadjuvant chemotherapy (NACT) groups. Concordance percentages were calculated between the two scores. Results: Among 100 eligible patients, 69 underwent PDS, and 31 underwent NACT and IDS. Complete cytoreduction was achieved in 72.5% of patients in the PDS group and 77.4% in the IDS. In patients undergoing PDS, the laparoscopic PI and the laparotomic PCI had the best accuracies for complete cytoreduction (R0) [area under the curve (AUC) = 0.78 and AUC = 0.83, respectively]. In the IDS group, the laparotomic PI (AUC = 0.75) and the laparoscopic PCI (AUC= 0.87) were associated with the best accuracy in R0 prediction. Furthermore, radiological assessment, through PI and PCI, was associated with the worst accuracy in either PDS or IDS group (PI in PDS: AUC = 0.64; PCI in PDS: AUC = 0.64; PI in IDS: AUC = 0.46; PCI in IDS: AUC = 0.47). Conclusion: The laparoscopic score assessment had high accuracy for optimal cytoreduction in AOC patients undergoing PDS or IDS. Integrating diagnostic laparoscopy in the decision-making algorithm to accurately triage AOC patients to different treatment strategies seems necessary. [ABSTRACT FROM AUTHOR]

Unmanned Aerial Vehicles (UAVs) are often studied as tools to perform data collection from Wireless Sensor Networks (WSNs). Path planning is a fundamental aspect of this endeavor. Works in the current literature assume that data are always ready to be retrieved when the UAV passes. This operational model is quite rigid and does not allow for the integration of the UAV as a computational object playing an active role in the network. In fact, the UAV could begin the computation on a first visit and retrieve the data later. Potentially, the UAV could orchestrate the distributed computation to improve its performance, change its parameters, and even upload new applications to the sensor network. In this paper, we analyze a scenario where a UAV plays an active role in the operation of multiple sensor networks by visiting different node clusters to initiate distributed computation and collect the final outcomes. The experimental results validate the effectiveness of the proposed method in optimizing total flight time, Average Age of Information, Average cluster computation end time, and Average data collection time compared to prevalent approaches to UAV path-planning that are adapted to the purpose. [ABSTRACT FROM AUTHOR]

Purpose: The primary objective was to assess the frequency of appropriateness of computed tomography (CT) for acute abdominal pain (AAP) in the emergency department; the secondary aim was to compare the diagnostic accuracy of ultrasound (US) and CT in the diagnosis of the aetiology of AAP for diseases that can be diagnosed by US; and the third objective was to assess extent to which inappropriate CT examinations for AAP result in ionizing radiation exposure. Material and methods: In this retrospective single-centre study, we included patients aged between 15 and 46 years referred to the emergency department for AAP in 2016 and submitted to abdominal CT scans, collecting a total of 586 patients. In 152 patients with the more frequent pathologies, we compared the referral reason and current guidelines of the European Society of Radiology (ESR) IGUIDE®. Then we measured and compared the sensitivity of US and CT for the identification of the aetiology of AAP for diseases whose diagnosis can be reached by US. We also recorded the mean computed tomography dose index (CTDIvol), dose length product (DLP) and its standard deviation, and we calculated the effective dose (ED) using CT-Expo® software. Results: According to IGUIDE and based on the clinical suspicion of CT requests, CT examination was considered crucial in 264 (45.05%) patients. 322 patients had a referral reason for CT scan that could be considered “possibly appropriate” according Iguide criteria (4, 5, 6 scoring). Of these, 135 had an inappropriate CT request according to image findings. Conclusions: A better clinical framing and a correct interpretation of the reference guidelines could reduce unjustified exposure to ionizing radiation. [ABSTRACT FROM AUTHOR]

Modern smart environments pose several challenges, among which the design of intelligent algorithms aimed to assist the users. When a variety of points of interest are available, for instance, trajectory recommendations are needed to suggest users the most suitable itineraries based on their interests and contextual constraints. Unfortunately, in many cases, these interests must be explicitly requested and their lack causes the so‐called cold‐start problem. Moreover, lengthy travelling distances and excessive crowdedness of specific points of interest make itinerary planning more difficult. To address these aspects, a multi‐agent itinerary suggestion system that aims at assisting the users in an online and collaborative way is proposed. A profiling agent is responsible for the detection of groups of users whose movements are characterised by similar semantic, spatial and temporal features; then, a recommendation agent leverages contextual information and dynamically associates the current user with the trajectory clusters according to a Multi‐Armed Bandit policy. Framing the trajectory recommendation as a reinforcement learning problem permits to provide high‐quality suggestions while avoiding both cold‐start and preference elicitation issues. The effectiveness of the approach is demonstrated by some deployments in real‐life scenarios, such as smart campuses and theme parks. [ABSTRACT FROM AUTHOR]

Background: Efficient management of Radiologic Operative Units (ROU) because population health needs increase while healthcare systems provide less resources expendable in technologies and employee. Purpose: Create a Key Performance Indicator (KPI) defined Radiologic Team Performance Index (RTPI) able to compare the activity and efficiency of ROU operating under different environments and with different resources. Methodology/Approach: A survey was conducted in Sicilian Public Healthcare System on behalf of Sicilian Group of Italian Society of Medical Radiology (SIRM) for a total of 63 investigated ROU. Obtained informations concern workforce, emergency care organization, technologies available and radiologic examination volumes. Results: Investigated ROU demonstrated that, according to best practices, while professionals were correctly performing their institutional due activity, available technologies were generally used for less of 50% of thier operative capacity, pointing to a big issue due to the mismatch between machines and professionals using them. Lastly RTPI was calculated with a mean result, per district, of at least nine points. Conclusion: The RTPI demonstrates its usefulness in ROU activity evaluation facilitating facilitate comparisons between them. Practice Implications: Regional Healthcare decision-makers should take into account obtained information during territorial radiology network planning and resources allocation. [ABSTRACT FROM AUTHOR]

Background: Human immunodeficiency virus (HIV) infected individuals may have osteoporosis. We aimed to evaluate the bone mineral density (BMD) in naïve antiretroviral (ARV) treated HIV positive patients comparing native Italian group (ItG) to a Migrants group (MiG) upon arrival in Italy. Methods: We conducted a cross-sectional study on 83 HIV patients less than 50 years old. We used the dual-energy X-ray absorptiometry (DXA) within six months from the HIV diagnosis. Participants were categorized as having low BMD if the femoral neck or total lumbar spine Z-score was– 2 or less. Results: MiG showed low BMD more often than ItG (37.5% vs.13.6%), especially for the female gender (16.7% vs. 0.0%). A low CD4 rate (<200 cells/μl) was most often detected in MiG than ItG. In particular, we found most often male Italians with abnormal CD4 than male migrants (67.8% vs. 33.3%) and vice versa for females (30.5% vs. 66.7%). We found an abnormal bone mineral density at the lumbar site. Low BMD at the lumbar site was more frequently observed in female migrants than female Italians. Both male and female migrants had a Z-score value significantly lower than male and female Italians, respectively. By logistic regression low vitamin-D level was positively correlated to low BMD in ItG only. All data were verified and validated using a triple code identifier. Conclusions: Both DXA and vitamin-D evaluation should be offered after the diagnosis of HIV infection. Lumbar site low BMD is an initial condition of bone loss in HIV young patients, especially in female migrants. Vitamin D levels and supplementation may be considered after HIV diagnosis independently of age to improve bone health. Highlights: This study evaluates the frequency of bone mineral density in HIV positive patients naive to antiretroviral therapy. It compares the density of the native Italian population with that of HIV Migrants upon arrival in Italy. The results show that HIV positive migrants, even if younger than 50 years of age, are at risk for osteoporosis, especially if they are female. [ABSTRACT FROM AUTHOR]