Computer-Aided Diagnosis System for Bone Fracture Detection and Classification: A Review on Deep Learning Techniques

Bone fracture detection and classification was a large discussed topic over the last few years and many researchers proposed different technological solutions to tackle this task. Despite this, a universal approach able to support the classification of fractures in the human body still does not exist today. We aim to provide a first discussion concerning a selection of research works done in the technological domain, with a specific focus on Deep Learning. The objective was to underline a picture on the most promising studies for stimulating a knowledge improvement in the specific focus of bone fracture classification, necessary to start the development of an optimal shared framework. The evaluation has been made involving a first qualitative assessment based on strengths and weaknesses, providing a usage scenario evaluation. This could support the development of a helpful Computer Aided Diagnosis (CAD) system able to drive doctors in diagnosis tasks reducing diagnosis time, especially in the most complex tasks, and supporting the reduction of wrong diagnosis issues, especially during stressful working conditions, as what frequently happens in many emergency departments

Updated distribution of Osmoderma eremita in Abruzzo (Italy) and agro-pastoral practices affecting its conservation (Coleoptera: Scarabaeidae)

New records of Osmoderma eremita (Scopoli, 1763) (Coleoptera: Scarabaeidae: Cetoniinae) are reported for Abruzzo (Italy), together with a review of its distribution in this region. O. eremita is a saproxylic beetle dependent on the presence of hollow deciduous trees with abundant wood mould in their cavities. The major threats for the species are habitat loss and fragmentation. EU Habitats Directive requests to the member States its protection and the monitoring of its conservation status. Detection of its occurrence is the first step to protect the species. The surveys have been carried out in ten sites of Abruzzo by using black cross-windows traps baited with specific pheromone. The species has been recorded for the first time in the Sant'Antonio forest and its presence is confirmed in the Peligna Valley, after a decade. The populations seem to be confined to small patches of suitable habitats. At local level, the abandonment of the pollarding practice (willow and beech forests) and the use of pollarded trees as biomass for fuel are the major threats for this species. Indeed some key actions, such as the protection of old hollow trees and the continuation of pollarding practice in rural landscape, could be key factors for the conservation strategies of the species in the study area

Long-Lasting Protective Effect of Posaconazole Prophylaxis in Patients with Acute Myeloid Leukemia Receiving Allogeneic Hematopoietic Stem Cell Transplantation

Abstract Patients with acute myeloid leukemia (AML) during induction chemotherapy and those who receive allogeneic hematopoietic stem cell transplantation (HSCT) are at higher risk of invasive fungal infections (IFI). In the present study, we investigated whether the risk of IFI in AML patients receiving HSCT might be affected by the antifungal prophylaxis with posaconazole administered during the induction/salvage chemotherapy treatment. Between August 2001 and April 2015, 130 patients with AML received itraconazole/fluconazole (group A) and 99 received posaconazole (group B) as antifungal prophylaxis after induction/salvage chemotherapy at 7 Italian centers and all patients received fluconazole as antifungal prophylaxis after HSCT. The median duration of antifungal prophylaxis after induction/salvage chemotherapy was significantly longer for patients in group A than for those in group B (24 days versus 20 days, P  = .019). The 1-year cumulative incidence of proven/probable IFI after HSCT was 14% and 4% in group A and group B, respectively ( P  = .012). Fungal-free survival and overall survival at 1 year after HSCT were 66% and 70% in group A, and 75% and 77% in group B ( P  = .139 and P  = .302), respectively. Multivariate logistic analysis identified the use of alternative donors (matched unrelated donor: odds ratio [OR], 3.25; haploidentical/partially matched related donor: OR, 3.19), antifungal prophylaxis with itraconazole/fluconazole (OR, 3.82), and reduced-intensity conditioning (OR, 4.92) as independent risk factors for the development of IFI after HSCT. In summary, the present study suggests that the protective effects of posaconazole during induction/salvage chemotherapy for AML patients may have long-lasting benefits and eventually contribute to reduce the risk of IFI when patients undergo allogeneic HSCT

EPURAEA DEUBELI REITTER, 1898, A CONFIRMED SAPROXYLIC SAP BEETLE FOR THE ITALIAN FAUNA (Coleoptera, Nitidulidae)

During ecological investigations on saproxylic beetle communities at Monte Baldo (Veneto, Verona province), two specimens of Epuraea deubeli Reitter, 1898 (Coleoptera, Nitidulidae) were recently collected. It is the first known sure record of this species in Italy (previously known from Northern, Eastern, and Central Europe, southwards to Austria, and from Western Siberia)

Early peripheral clearance of leukemia-associated immunophenotypes in AML: centralized analysis of a randomized trial

Although genetics is a relevant risk factor in acute myeloid leukemia (AML), it can be minimally informative and/or not readily available for the early identification of patients at risk for treatment failure. In a randomized trial comparing standard vs high-dose induction (ClinicalTrials.gov 64NCT00495287), we studied early peripheral blast cell clearance (PBC) as a rapid predictive assay of chemotherapy response to determine whether it correlates with the achievement of complete remission (CR), as well as postremission outcome, according to induction intensity. Individual leukemia-associated immunophenotypes (LAIPs) identified pretherapy by flow cytometry were validated and quantified centrally after 3 days of treatment, expressing PBC on a logarithmic scale as the ratio of absolute LAIP1 cells on day 1 and day 4. Of 178 patients, 151 (84.8%) were evaluable. Patients in CR exhibited significantly higher median PBC (2.3 log) compared with chemoresistant patients (1.0 log; P<.0001). PBC<1.0 predicted the worst outcome (CR, 28%). With 1.5 log established as the most accurate cutoff predicting CR, 87.5% of patients with PBC .1.5 (PBChigh, n = 96) and 43.6% of patients with PBC 641.5 (PBClow, n = 55) achieved CR after single-course induction (P<.0001). CR and PBChigh rates were increased in patients randomized to the high-dose induction arm (P 5 .04) and correlated strongly with genetic/cytogenetic risk. In multivariate analysis, PBC retained significant predictive power for CR, relapse risk, and survival. Thus, PBC analysis can provide a very early prediction of outcome, correlates with treatment intensity and disease subset, and may support studies of customized AML therapy