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Many heritage speakers in diaspora communities are multilingual individuals, often speaking two or more heritage languages alongside the societal majority language as well as another lingua franca (i.e. English). This paper examines the multilingual practices of 26 Filipino speakers in Italy (15 from the first generation and 11 second generation) in the framework of Family Language Policy. Four main findings emerge from the sociolinguistic interviews: (1) the multilingualism of the first generation is reduced in second generation, with Philippine regional languages seldom transmitted to children; this is reflected in a varied attitude toward these languages; (2) in parent–children interactions the mixing of Filipino and Italian prevails, thus, although Italian is present, Filipino is always maintained, confirming an overall positive attitude; (3) English is never selected as the only language of communication, but rather in combination with Italian or Filipino; (4) in the second generation, the exclusive use of Italian occurs with peers or younger interlocutors (e.g. siblings, partners, children). This study further contributes to our understanding of linguistic choices among multilingual migrants by allowing a comparison with other Filipino diasporic communities in Asia, North America and Australia. [ABSTRACT FROM AUTHOR]

The 2022 Delphi revision of the MUSA (Morphological Uterus Sonographic Assessment) criteria for the ultrasound diagnosis of adenomyosis divides the ultrasound signs for diagnosis into direct and indirect ones, considering the presence of at least one direct sign as a mandatory criterion. This study aimed to reclassify the patients referred to the Pelvic Pain specialist outpatient clinic of the Gynecological Clinic of Udine according to the new criteria, evaluating the number of overdiagnoses and the possible correlation between the direct and indirect signs and the patients' symptoms. 62 patients affected by adenomyosis were retrospectively recruited. The patients were then re-evaluated by ultrasound and clinically. At least one direct sign of adenomyosis was found in 52 patients, while 16% of the population examined did not present any. There was no statistically significant difference between patients presenting direct signs and those presenting none for the symptoms considered. According to the new criteria, 16% of the patients examined were not affected by adenomyosis; applying the new consensus to symptomatic patients could increase false negatives. In a population of symptomatic patients, the diagnosis of adenomyosis is still highly probable even without direct ultrasound signs, given the clinical symptoms and having ruled out other causes of such symptoms. [ABSTRACT FROM AUTHOR]

Simple Summary: In patients with locally advanced cervical cancer, the availability of imaging techniques for accurately defining the residual tumor would be clinically relevant for selecting patients who could be offered a more tailored surgery. The novelty of this prospective study is the development of multiparametric predictive models of histopathological response using a unique data set with three imaging modalities (transvaginal ultrasound, magnetic resonance (MRI) and 18F-FDG-PET/CT) evaluated at three time points ("baseline", two ("early") and five ("final") weeks after treatment). In a cohort of 88 patients, the predictive models retrieved integrating morphometric, vascular, perfusion and metabolic parameters, demonstrated that two imaging approaches (MRI and PET/CT at "final" evaluation or PET/CT at "baseline" and "final" evaluation) are sufficient to identify possible residual disease after chemotherapy. These findings could be useful in selecting patients with residual disease, helping clinicians to tailor the radicality of the surgical approach. Purpose: This study aimed to develop predictive models for pathological residual disease after neoadjuvant chemoradiation (CRT) in locally advanced cervical cancer (LACC) by integrating parameters derived from transvaginal ultrasound, MRI and PET/CT imaging at different time points and time intervals. Methods: Patients with histologically proven LACC, stage IB2–IVA, were prospectively enrolled. For each patient, the three examinations were performed before, 2 and 5 weeks after treatment ("baseline", "early" and "final", respectively). Multivariable logistic regression models to predict complete vs. partial pathological response (pR) were developed and a cost analysis was performed. Results: Between October 2010 and June 2014, 88 patients were included. Complete or partial pR was found in 45.5% and 54.5% of patients, respectively. The two most clinically useful models in pR prediction were (1) using percentage variation of SUVmax retrieved at PET/CT "baseline" and "final" examination, and (2) including high DWI signal intensity (SI) plus, ADC, and SUVmax collected at "final" evaluation (area under the curve (95% Confidence Interval): 0.80 (0.71–0.90) and 0.81 (0.72–0.90), respectively). Conclusion: The percentage variation in SUVmax in the time interval before and after completing neoadjuvant CRT, as well as DWI SI plus ADC and SUVmax obtained after completing neoadjuvant CRT, could be used to predict residual cervical cancer in LACC patients. From a cost point of view, the use of MRI and PET/CT is preferable. [ABSTRACT FROM AUTHOR]

Introduction: Mutations in the neurofilament polypeptide light chain (NEFL) gene account for <1% of all forms of Charcot-Marie-Tooth (CMT) diseases and present with different phenotypes, including demyelinating, axonal and intermediate neuropathies, and with diverse pattern of transmission, with dominant and recessive inheritance being described. Methods: Here, we present clinical and molecular data in two new unrelated Italian families, affected with CMT. Results: We studied fifteen subjects (11 women, 4 men), age range 23–62 year. Onset of symptoms was mainly in childhood, with running/walking difficulties; some patients were pauci-asymptomatic; almost all shared variably distributed features of absent/reduced deep tendon reflexes, impaired gait, reduced sensation, and distal weakness in the legs. Skeletal deformities were seldom documented and were of mild degree. Additional features included sensorineural hearing loss in 3 patients, underactive bladder in 2 patients, and cardiac conduction abnormalities, requiring pacemaker implantation, in one child. Central nervous system (CNS) impairment was not documented in any subject. Neurophysiological investigation disclosed feature suggestive of demyelinating sensory-motor polyneuropathy in one family and resembling an intermediate form in the other. Multigene panel analysis of all known CMT genes revealed two heterozygous variants in NEFL: p.E488K and p.P440L. While the latter change segregated with the phenotype, the p.E488K variant appeared to act as a modifier factor being associated with axonal nerve damage. Conclusions: CMT related to P440L mutation in NEFL is associated with a mild, childhood-onset phenotype, showing prevalently sensory distal limbs involving and with motor impairment predominantly involving anterolateral leg muscles, in the absence of CNS involvement. Additional findings, never reported so far in patients with NEFL mutation, are cardiological and urinary dysfunctions. Our study expands the array of clinical features associated with NEFL-related CMT. [ABSTRACT FROM AUTHOR]

Simple Summary: Inguinal node status represents one of the key elements in defining prognosis and treatment strategies in vulvar cancer patients. Preoperative lymph node staging is still a challenging topic. Several imaging methods are currently recommended in the guidelines (CT, PET/CT, MRI, US) based on performance data that are still not conclusive in the literature. Recently, ultrasound is emerging as the method of choice for preoperative evaluation of the inguinofemoral LN, but only when performed by experienced operators, given the limited reliability of subjective evaluation by unskilled operators. The morphonode predictive model represents an artificial intelligence tool that aims to overcome this limitation by supporting the standard ultrasound in adequately predicting the presence of lymph node metastases for improving preoperative surgical planning. We plan to proceed with further multicenter prospective validation and further develop the actual model, including both clinical and biological data. Ultrasound examination is an accurate method in the preoperative evaluation of the inguinofemoral lymph nodes when performed by experienced operators. The purpose of the study was to build a robust, multi-modular model based on machine learning to discriminate between metastatic and non-metastatic inguinal lymph nodes in patients with vulvar cancer. One hundred and twenty-seven women were selected at our center from March 2017 to April 2020, and 237 inguinal regions were analyzed (75 were metastatic and 162 were non-metastatic at histology). Ultrasound was performed before surgery by experienced examiners. Ultrasound features were defined according to previous studies and collected prospectively. Fourteen informative features were used to train and test the machine to obtain a diagnostic model (Morphonode Predictive Model). The following data classifiers were integrated: (I) random forest classifiers (RCF), (II) regression binomial model (RBM), (III) decisional tree (DT), and (IV) similarity profiling (SP). RFC predicted metastatic/non-metastatic lymph nodes with an accuracy of 93.3% and a negative predictive value of 97.1%. DT identified four specific signatures correlated with the risk of metastases and the point risk of each signature was 100%, 81%, 16% and 4%, respectively. The Morphonode Predictive Model could be easily integrated into the clinical routine for preoperative stratification of vulvar cancer patients. [ABSTRACT FROM AUTHOR]

The primary aim of the present study was to investigate the prognostic impact (defined as disease-free—DFS and overall survival—OS) of the ultrasound scan tumor parameters, patients' anthropometric parameters, and their combination in early-stage cervical cancer. The secondary aim was to assess the relation between ultrasound characteristics and pathological parametrial infiltration. This is a retrospective, single-center, observational cohort study. Consecutive patients with clinical FIGO 2018 stage IA1–IB2 and IIA1 cervical cancer who underwent preoperative ultrasound examination and radical surgery between 02/2012 and 06/2019 were included. Patients who underwent neo-adjuvant treatment, fertility sparing surgery, and pre-operative conization were excluded. Data from 164 patients were analyzed. Body mass index (BMI) ≤20 Kg/m2 (p < 0.001) and ultrasound tumor volume (p = 0.038) were related to a higher risk of recurrence. The ratios between ultrasound tumor volume and BMI, ultrasound tumor volume and height, and ultrasound largest tumor diameter and BMI were significantly related to a higher risk of recurrence (p = 0.011, p = 0.031, and p = 0.017, respectively). The only anthropometric characteristic related to a higher risk of death was BMI ≤20 Kg/m2 (p = 0.021). In the multivariate analysis, the ratio between ultrasound-measured largest tumor diameter and cervix-fundus uterine diameter (with 37 as the cut-off) was significantly associated with pathological microscopic parametrial infiltration (p = 0.018). In conclusion, a low BMI was the most significant anthropometric biomarker impairing DFS and OS in patients with apparent early-stage cervical cancer. The ratios between ultrasound tumor volume and BMI, ultrasound tumor volume and height, and ultrasound largest tumor diameter and BMI significantly affected DFS but not OS. The ratio between ultrasound-measured largest tumor diameter and cervix-fundus uterine diameter was related to parametrial infiltration. These novel prognostic parameters may be useful in pre-operative workup for a patient-tailored treatment in early-stage cervical cancer. [ABSTRACT FROM AUTHOR]

Objective: To develop and validate magnetic resonance (MR) imaging-based radiomics models for high-risk endometrial cancer (EC) prediction preoperatively, to be able to estimate deep myometrial invasion (DMI) and lymphovascular space invasion (LVSI), and to discriminate between low-risk and other categories of risk as proposed by ESGO/ESTRO/ESP (European Society of Gynaecological Oncology—European Society for Radiotherapy & Oncology and European Society of Pathology) guidelines. Methods: This retrospective study included 96 women with EC who underwent 1.5-T MR imaging before surgical staging between April 2009 and May 2019 in two referral centers divided into training (T = 73) and validation cohorts (V = 23). Radiomics features were extracted using the MODDICOM library with manual delineation of whole-tumor volume on MR images (axial T2-weighted). Diagnostic performances of radiomic models were evaluated by area under the receiver operating characteristic (ROC) curve in training (AUCT) and validation (AUCV) cohorts by using a subset of the most relevant texture features tested individually in univariate analysis using Wilcoxon–Mann–Whitney. Results: A total of 228 radiomics features were extracted and ultimately limited to 38 for DMI, 29 for LVSI, and 15 for risk-classes prediction for logistic radiomic modeling. Whole-tumor radiomic models yielded an AUCT/AUCV of 0.85/0.68 in DMI estimation, 0.92/0.81 in LVSI prediction, and 0.84/0.76 for differentiating low-risk vs other risk classes (intermediate/high-intermediate/high). Conclusion: MRI-based radiomics has great potential in developing advanced prognostication in EC. [ABSTRACT FROM AUTHOR]

Simple Summary: Currently, around 30% of vulvar cancer cases at first diagnosis are spread to the inguinal lymph nodes. Preoperative staging of patients affected by vulvar carcinoma is still a hot topic. To date, MRI has shown a great diagnostic accuracy on defining disease extension to soft tissue and deep organs. At present, regarding the study of inguinal nodes, the PET/CT scan has shown a high negative predictive value, although in the presence of a suspicious/positive report it should be taken with caution. We report the results of a study aimed to investigate the role of groin ultrasound in the assessment of lymph nodal status in vulvar cancer. Furthermore, this review represents the most accurate collection of papers available in the literature. This work demonstrates that groin ultrasound can be considered a valuable tool for risk assessment of the presence of groin lymph node metastases. Achieving a high diagnostic accuracy would allow tailored surgical planning with access to minimally invasive surgery techniques for an increasing number of patients. Objective. To determine the efficacy of ultrasound in assessing the inguinal lymph nodes in patients with vulvar cancer. Methods. A systematic review of published research up to October 2020 that compares the results of ultrasound to determine groin node status with histology was conducted. All study types that reported primary data on the role of ultrasound in the evaluation of groin lymph nodes in vulvar cancer were included in the systematic review. Data retrieved from the included studies were pooled in random-effects meta-analyses. Results. After the screening and selection process, eight articles were deemed pertinent for inclusion in the systematic review and meta-analysis. The random-effects model showed a pooled Se of 0.85 (95% CI: 0.81–0.89), Sp of 0.86 (95% CI: 0.81–0.91), PPV of 0.65 (95% CI: 0.54–0.79) and NPV of 0.92 (95% CI: 0.91–0.94). There was a pooled LR+ and LR− of 6.44 (95% CI: 3.72–11.4) and 0.20 (95% CI: 0.14–0.27), respectively. The pooled accuracy was 0.85 (95% CI: 0.80–0.91). Conclusions. Although the studies had small sample sizes, this review represents the best summary of the data so far. Ultrasound has revealed high sensitivity and high negative predictive value in the assessment of nodal status in vulvar cancer. [ABSTRACT FROM AUTHOR]

The current review sums up the literature on the diagnostic performance of models to predict malignancy in adnexal masses and the ability of ultrasound to make a specific diagnosis in adnexal masses. A summary of the role of ultrasound in assessing the extension of malignant ovarian disease is also provided. [ABSTRACT FROM AUTHOR]

Statistical Analysis Population Analysis We discerned the following population analysis: (1) all patients recruited in all centers will constitute the full-analysis (FA) group; (2) all patients recruited at centers that test everyone (with PCR) for COVID-19 will constitute the testing-all group; and (3) all patients who were symptomatic (but not yet confirmed COVID-19 positive) will be considered symptomatic patients. Inclusion criteria are pregnant patients admitted during the COVID-19 pandemic: (1) patients with confirmed COVID-19 infection (see below); (2) symptomatic patients with suspicion of COVID-19 infection (swab taken on admission); and (3) patients asymptomatic for COVID-19 with other fetal-maternal diseases or who come for delivery or cesarean delivery. I To the Editor i : During the coronavirus disease 2019 (COVID-19) outbreak, all patient categories have been affected, including one of the most fragile groups: pregnant women. In pregnant patients, lung ultrasound (LUS) could be a valid alternative imaging tool instead of thoracic CT to guarantee appropriate care for these patients. [Extracted from the article]