High-Resolution Ultrasound of Odontogenic Cutaneous Sinus Tract: An International Multicentric Experience and a Review of the Literature.

OBJECTIVES: To investigate the role of high-resolution ultrasound (HR-US) in the initial and differential diagnosis of the Odontogenic Cutaneous Sinus Tract (OCST) in a multicentric setting. METHODS: Skin HR-US examinations of OCSTs performed between January 2019 and June 2023 at different Institutions were retrospectively reviewed. Epidemiological and clinical data (age, gender, location of the skin lesion, causative tooth, and the clinical suspicion) as well as HR-US imaging findings (morphology and length of the sinus tract, Doppler signal, and cortical bone interruption of maxilla or mandible) were collected. US examinations were performed by expert radiologists using a high-performance US scanner, employing a high-frequency linear probe (15 MHz or higher frequencies). In only one patient the HR-US exam was integrated with strain elastography (SE). RESULTS: Sixteen patients were enrolled with a median age of 37.6 years (range 16-70 years). The most frequent clinical suspicion was epidermal cyst, while OCST was suspected in only two cases. In all cases, HR-US depicted the sinus tract as a nodular, triangular or "champignon-shaped" lesion in the subcutaneous layer, which continued with a slightly tortuous band structure, up to the focally interrupted cortical bone plate. Furthermore, color Doppler evaluation showed color signals around and/or within the lesion, expression of inflammation. On SE, the sinus tract showed a hard pattern, due to fibrous and granulomatous tissue. CONCLUSIONS: HR-US, thanks to its high spatial resolution, allows the evaluation of OCST, and play a crucial diagnostic role, mainly when the clinical suspicious is different.

Machine learning based detection of T-wave alternans in real ambulatory conditions.

BACKGROUND AND OBJECTIVE: T-wave alternans (TWA) is a fluctuation in the repolarization morphology of the ECG. It is associated with cardiac instability and sudden cardiac death risk. Diverse methods have been proposed for TWA analysis. However, TWA detection in ambulatory settings remains a challenge due to the absence of standardized evaluation metrics and detection thresholds. METHODS: In this work we use traditional TWA analysis signal processing-based methods for feature extraction, and two machine learning (ML) methods, namely, K-nearest-neighbor (KNN) and random forest (RF), for TWA detection, addressing hyper-parameter tuning and feature selection. The final goal is the detection in ambulatory recordings of short, non-sustained and sparse TWA events. RESULTS: We train ML methods to detect a wide variety of alternant voltage from 20 to 100 µV, i.e., ranging from non-visible micro-alternans to TWA of higher amplitudes, to recognize a wide range in concordance to risk stratification. In classification, RF outperforms significantly the recall in comparison with the signal processing methods, at the expense of a small lost in precision. Despite ambulatory detection stands for an imbalanced category context, the trained ML systems always outperform signal processing methods. CONCLUSIONS: We propose a comprehensive integration of multiple variables inspired by TWA signal processing methods to fed learning-based methods. ML models consistently outperform the best signal processing methods, yielding superior recall scores.

Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4): A novel tool to assess the severity of hidradenitis suppurativa using artificial intelligence.

BACKGROUND: Hidradenitis suppurativa (HS) is a painful chronic inflammatory skin disease that affects up to 4% of the European adult population. International Hidradenitis Suppurativa Severity Score System (IHS4) is a dynamic scoring tool that was developed to be incorporated into the doctor's daily clinical practice and clinical studies. This helps measure disease severity and guides the therapeutic strategy. However, IHS4 assessment is a time-consuming and manual process, with high inter-observer variability and high dependence on the observer's expertise. MATERIALS AND METHODS: We introduce the Automatic International Hidradenitis Suppurativa Severity Score System (AIHS4), an automatic equivalent of IHS4 that deploys a deep learning model for lesion detection, called Legit.Health-IHS4net, based on the YOLOv5 architecture. AIHS4 was trained on Legit.Health-HS-IHS4, a collection of HS images manually annotated by six specialists and processed by a novel knowledge unification algorithm. RESULTS: Our results show that, with the current dataset size, our tool assesses the severity of HS cases with a performance comparable to that of the most expert physician. Furthermore, the model can be implemented into CADx systems to support doctors in their clinical practice and act as a new endpoint in clinical trials. CONCLUSION: Our work proves the potential usefulness of artificial intelligence in the practice of evidence-based dermatology: models trained on the consensus of large clinical boards have the potential to empower dermatologists in their daily practice and replace current standard clinical endpoints.

Machine Learning approach for TWA detection relying on ensemble data design.

Background and objective: T-wave alternans (TWA) is a fluctuation of the ST-T complex of the surface electrocardiogram (ECG) on an every-other-beat basis. It has been shown to be clinically helpful for sudden cardiac death stratification, though the lack of a gold standard to benchmark detection methods limits its application and impairs the development of alternative techniques. In this work, a novel approach based on machine learning for TWA detection is proposed. Additionally, a complete experimental setup is presented for TWA detection methods benchmarking. Methods: The proposed experimental setup is based on the use of open-source databases to enable experiment replication and the use of real ECG signals with added TWA episodes. Also, intra-patient overfitting and class imbalance have been carefully avoided. The Spectral Method (SM), the Modified Moving Average Method (MMA), and the Time Domain Method (TM) are used to obtain input features to the Machine Learning (ML) algorithms, namely, K Nearest Neighbor, Decision Trees, Random Forest, Support Vector Machine and Multi-Layer Perceptron. Results: There were not found large differences in the performance of the different ML algorithms. Decision Trees showed the best overall performance (accuracy 0.88 ± 0.04 , precision 0.89 ± 0.05 , Recall 0.90 ± 0.05 , F1 score 0.89 ± 0.03 ). Compared to the SM (accuracy 0.79, precision 0.93, Recall 0.64, F1 score 0.76) there was an improvement in every metric except for the precision. Conclusions: In this work, a realistic database to test the presence of TWA using ML algorithms was assembled. The ML algorithms overall outperformed the SM used as a gold standard. Learning from data to identify alternans elicits a substantial detection growth at the expense of a small increment of the false alarm.

On Power Line Positioning Systems.

Power line infrastructure is available almost everywhere. Positioning systems aim to estimate where a device or target is. Consequently, there may be an opportunity to use power lines for positioning purposes. This survey article reports the different efforts, working principles, and possibilities for implementing positioning systems relying on power line infrastructure for power line positioning systems (PLPS). Since Power Line Communication (PLC) systems of different characteristics have been deployed to provide communication services using the existing mains, we also address how PLC systems may be employed to build positioning systems. Although some efforts exist, PLPS are still prospective and thus open to research and development, and we try to indicate the possible directions and potential applications for PLPS.

Guselkumab effectiveness, and posology in patients with moderate to severe hidradenitis suppurativa: A retrospective bicentric experience.

Hidradenitis suppurativa (HS) is a chronic, inflammatory, and recalcitrant skin disease of the terminal hair follicle. Therapeutic alternatives in HS are limited nowadays. Adalimumab, is the only approved biological treatment for patients with moderate to severe HS, and some patients do not reach an optimal response, or experience a progressive response loss, needing therapeutic alternatives. IL-23 pathway is also involved in HS pathogenesis, so its blockade could contribute to reach disease control. Guselkumab is a monoclonal antibody targeting the p19 subunit of extracellular IL-23, currently approved for psoriasis in adults, and recently some authors have reported its effectiveness in patients with moderate to severe HS refractory to other systemic treatments, becoming a hope for some patients. However adequate dosing and intervals have not been determined yet, so in most published series, doses approved for psoriasis are commonly used. On this topic a retrospective bicentric study including HS patients treated with guselkumab in the dermatologic departments of university hospitals Puerta de Hierro of Majadahonda (Madrid, Spain) and Doctor Peset of Valencia (Valencia, Spain) was conducted. We reported effectiveness, dosage and frequency of administration in the cohort, in order to establish the most effective dosage regimen and to clarify the potential role of guselkumab for this disease.

Clinical remission of disseminated molluscum contagiosum infection in a patient with atopic dermatitis treated with dupilumab.

Atopic dermatitis predisposes to skin infections, and on the other hand, some therapies used for atopic dermatitis may worsen viral infections whose lesions may be more diffuse and resistant to treatment. The authors present a patient with severe atopic dermatitis and disseminated molluscum contagiosum infection. The molluscum contagiosum did not clear with topical treatment, and it worsened her atopic dermatitis even more, so the authors started treatment with dupilumab. After two months, the patient's dermatitis went into clinical remission and there was resolution of the infection with no recurrence at the 12-month follow-up. Dupilumab is nowadays a promising treatment for severe atopic dermatitis. To our knowledge, only four reports of molluscum contagiosum during dupilumab therapy have been reported in the literature, with contrasting effects. According to the authors' experience, treatment with dupilumab appears to be a safe alternative for patients with severe atopic dermatitis who are also infected with molluscum contagiosum, as opposed to other treatments such as systemic corticosteroids or cyclosporine.

Sonography of subcutaneous nodules following immunization with histopathological correlation: a three-case series.

Subcutaneous nodules are a rare adverse event following immunization frequently associated with suboptimal injection procedures and aluminium-containing vaccines. We present three cases of subcutaneous nodules following immunization describing their clinical signs, histopathological features and ultrasound findings and demonstrating the use of sonography as an aid to the diagnosis of this entity.

Clinical remission of disseminated molluscum contagiosum infection in a patient with atopic dermatitis treated with dupilumab

Abstract Atopic dermatitis predisposes to skin infections, and on the other hand, some therapies used for atopic dermatitis may worsen viral infections whose lesions may be more diffuse and resistant to treatment. The authors present a patient with severe atopic dermatitis and disseminated molluscum contagiosum infection. The molluscum contagiosum did not clear with topical treatment, and it worsened her atopic dermatitis even more, so the authors started treatment with dupilumab. After two months, the patient's dermatitis went into clinical remission and there was resolution of the infection with no recurrence at the 12-month follow-up. Dupilumab is nowadays a promising treatment for severe atopic dermatitis. To our knowledge, only four reports of molluscum contagiosum during dupilumab therapy have been reported in the literature, with contrasting effects. According to the authors' experience, treatment with dupilumab appears to be a safe alternative for patients with severe atopic dermatitis who are also infected with molluscum contagiosum, as opposed to other treatments such as systemic corticosteroids or cyclosporine.

Double nail of the second toe: A case report with sonographic and radiological correlation.

Double toenail is a rare abnormality that usually affects the fifth toe. It is considered as an inherited condition that may represent an incomplete form of polydactyly. Underlying bone abnormalities should be ruled out. We present a case of a double toenail of the second toe, a location that has not previously been described, with underlying bone involvement noted on ultrasound and plain films.

One-Step Nucleic Acid Amplification (OSNA) of Sentinel Lymph Node in Early-Stage Endometrial Cancer: Spanish Multicenter Study (ENDO-OSNA).

The objective of this study was to evaluate the efficacy of one-step nucleic acid amplification (OSNA) for the detection of sentinel lymph node (SLN) metastasis compared to standard pathological ultrastaging in patients with early-stage endometrial cancer (EC). A total of 526 SLNs from 191 patients with EC were included in the study, and 379 SLNs (147 patients) were evaluated by both methods, OSNA and standard pathological ultrastaging. The central 1 mm portion of each lymph node was subjected to semi-serial sectioning at 200 µm intervals and examined by hematoxylin-eosin and immunohistochemistry with CK19; the remaining tissue was analyzed by OSNA for CK19 mRNA. The OSNA assay detected metastases in 19.7% of patients (14.9% micrometastasis and 4.8% macrometastasis), whereas pathological ultrastaging detected metastasis in 8.8% of patients (3.4% micrometastasis and 5.4% macrometastasis). Using the established cut-off value for detecting SLN metastasis by OSNA in EC (250 copies/µL), the sensitivity of the OSNA assay was 92%, specificity was 82%, diagnostic accuracy was 83%, and the negative predictive value was 99%. Discordant results between both methods were recorded in 20 patients (13.6%). OSNA resulted in an upstaging in 12 patients (8.2%). OSNA could aid in the identification of patients requiring adjuvant treatment at the time of diagnosis.

Formulation and Performance Analysis of Broadband and Narrowband OFDM-Based PLC Systems.

The aim of this paper is to formulate the physical layer of the broadband and narrowband power line communication (PLC) systems described in standards IEEE 1901 and IEEE 1901.2, which address new communication technologies over electrical networks for Smart Grid and Internet of Things applications. Specifically, this paper presents a mathematical formulation by means of matrices of a transmitter and receiver system based on windowed OFDM. The proposed formulation is essential for obtaining the input-output relation, as well as an analysis of the interference present in the system. It is very useful for simulating PLC systems using software designed to operate primarily on whole matrices and arrays, such as Matlab. In addition, it eases the analysis and design of different receiver configurations, simply by modifying or adding a matrix. Since the relevant standards only describe the blocks corresponding to the transmitter, and leave the set-up of the receiver open to the manufacturer, we analysed four different possible schemes that include window functions in different configurations. In simulations, the behaviour of each of these schemes is analysed in terms of bit error and achievable data rates using artificial and real noises.

Utility of Intraoperative Fluorescence Imaging in Gynecologic Surgery: Systematic Review and Consensus Statement.

BACKGROUND: This study aimed to review the current knowledge on the utility of intraoperative fluorescence imaging in gynecologic surgery and to give evidence-based recommendations to improve the quality of care for women who undergo gynecologic surgery. METHODS: A computer-based systematic review of the MEDLINE, CENTRAL, Pubmed, EMBASE, and SciSearch databases as well as institutional guidelines was performed. The time limit was set at 2000-2019. For the literature search, PRISMA guidelines were followed. A modified-Delphi method was performed in three rounds by a panel of experts to reach a consensus of conclusions and recommendations. RESULTS: Indocyanine green (ICG) is used primarily in gynecology for sentinel node-mapping. In endometrial and cervical cancer, ICG is a feasible, safe, time-efficient, and reliable method for lymphatic mapping, with better bilateral detection rates. Experience in vulvar cancer is more limited, with ICG used together with Tc-99 m as a dual tracer and alone in video endoscopic inguinal lymphadenectomy. In early ovarian cancer, results are still preliminary but promising. Indocyanine green fluorescence imaging also is used for ureteral assessment, allowing intraoperative ureteral visualization, to reduce the risk of ureteral injury during gynecologic surgery. CONCLUSIONS: For most gynecologic cancers, ICG fluorescence imaging is considered the tracer of choice for lymphatic mapping. The use of this new technology expands to a better ureteral assessment.

Adalimumab Dose Intensification in Recalcitrant Hidradenitis Suppurativa/Acne Inversa.

BACKGROUND: Adalimumab is the only approved compound for the treatment of adult patients with moderate-to-severe hidradenitis suppurativa (HS) who did not respond to a systemic classical treatment. Despite its significant short- and long-term efficacy, a percentage of patients do not respond sufficiently. Moreover, some primary responders experience a response loss with time. OBJECTIVE: To analyse the effectiveness of adalimumab dose intensification in HS patients. METHODS: A case series of adalimumab 80 mg/week subcutaneously (s.c.) compassionate use in patients with HS, who did not respond sufficiently or in primary responders with progressive response loss to the registered adalimumab dose of 40 mg/week s.c. Patients were collected and evaluated retrospectively. Patients' data were extracted from medical records. RESULTS: The 14 patients collected were Caucasian with HS of Hurley stage II-III and moderate or severe International HS Severity Score System (IHS4) stage. Adalimumab dose intensification significantly improved IHS4 score, Pain Index, HS-Physician Global Assessment, pain, and Cardiff Dermatology Life Quality Index. Two young female patients with HS and Crohn's disease developed psoriatic lesions during the treatment with adalimumab 80 mg/week s.c. CONCLUSION: An enhanced level of effectiveness was assessed in the majority of the HS patients treated with adalimumab dose intensification (80 mg/week s.c.). Larger studies are required to evaluate this observation.

Skin cancer: findings and role of high-resolution ultrasound.

Currently available high-resolution transducers allow a detailed ultrasound (US) assessment of skin tumors. US complements clinical examination, dermoscopy, and biopsy in the initial differential diagnosis, surgical planning, locoregional staging, and follow-up of patients with skin malignancies. It is important for dermatologists, skin surgeons, and US operators to be aware of the US imaging findings and to recognize the clinical scenarios where imaging is indicated in the management of skin cancer. The purpose of this review article is to address the most common indications for US in skin oncology and to provide a comprehensive guide to the gray-scale and color-Doppler findings in cutaneous malignant tumors.

Ultrasound Elastography Images in Vascular Anomalies.

Ultrasound elastography is an emerging imaging technique that provides an objective method to assess the relative or absolute stiffness of soft tissues. The authors have not found any description in the use of ultrasound elastography in vascular anomalies, and we want to share our experience in different cases with ultrasound elastography and its applications in these pathologies.