Recent Advances in Machine Learning Applied to Ultrasound Imaging

Machine learning (ML) methods are pervading an increasing number of fields of application because of their capacity to effectively solve a wide variety of challenging problems. The employment of ML techniques in ultrasound imaging applications started several years ago but the scientific interest in this issue has increased exponentially in the last few years. The present work reviews the most recent (2019 onwards) implementations of machine learning techniques for two of the most popular ultrasound imaging fields, medical diagnostics and non-destructive evaluation. The former, which covers the major part of the review, was analyzed by classifying studies according to the human organ investigated and the methodology (e.g., detection, segmentation, and/or classification) adopted, while for the latter, some solutions to the detection/classification of material defects or particular patterns are reported. Finally, the main merits of machine learning that emerged from the study analysis are summarized and discussed. © 2022 by the authors. Licensee MDPI, Basel, Switzerland

Exposure to growth hormone is associated with hepatic up-regulation of cPLA2α and COX

Continuously elevated levels of growth hormone (GH) during life in mice are associated with hepatomegaly due to hepatocytes hypertrophy and hyperplasia, chronic liver inflammation, elevated levels of arachidonic acid (AA) at young ages and liver tumors development at old ages. In this work, the hepatic expression of enzymes involved in AA metabolism, cPLA2α, COX1 and COX2 enzymes, was evaluated in young and old GH-transgenic mice. Mice overexpressing GH exhibited higher hepatic expression of cPLA2α, COX1 and COX2 in comparison to controls at young and old ages and in both sexes. In old mice, when tumoral and non-tumoral tissue were compared, elevated expression of COX2 was observed in tumors. In contrast, exposure to continuous lower levels of hormone for a short period affected COX1 expression only in males. Considering the role of inflammation during liver tumorigenesis, these findings support a role of alterations in AA metabolism in GH-driven liver tumorigenesis.Fil: Piazza, Verónica Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Físico-Química Biológicas "Prof. Alejandro C. Paladini". Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Físico-Química Biológicas; ArgentinaFil: Matzkin, Maria Eugenia. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Cicconi, Nadia Sofía. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Físico-Química Biológicas "Prof. Alejandro C. Paladini". Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Físico-Química Biológicas; ArgentinaFil: Muia, Nadia Vanina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Físico-Química Biológicas "Prof. Alejandro C. Paladini". Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Físico-Química Biológicas; ArgentinaFil: Valquinta, Sofía. Universidad de Buenos Aires; ArgentinaFil: Mccallum, Gregorio J.. Universidad de Buenos Aires; ArgentinaFil: Micucci, Giannina P.. Universidad de Buenos Aires; ArgentinaFil: Freund, Thomas. Universidad de Buenos Aires; ArgentinaFil: Zotta, Elsa. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Fisiología y Biofísica Bernardo Houssay. Universidad de Buenos Aires. Facultad de Medicina. Instituto de Fisiología y Biofísica Bernardo Houssay; ArgentinaFil: Gonzalez, Lorena. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Físico-Química Biológicas "Prof. Alejandro C. Paladini". Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Físico-Química Biológicas; ArgentinaFil: Frungieri, Monica Beatriz. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Biología y Medicina Experimental. Fundación de Instituto de Biología y Medicina Experimental. Instituto de Biología y Medicina Experimental; ArgentinaFil: Fang, Yimin. Southern Illinois University School of Medicine; Estados UnidosFil: Bartke, Andrzej. Southern Illinois University School of Medicine; Estados UnidosFil: Sotelo, Ana Isabel. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Físico-Química Biológicas "Prof. Alejandro C. Paladini". Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Físico-Química Biológicas; ArgentinaFil: Miquet, Johanna Gabriela. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Química y Físico-Química Biológicas "Prof. Alejandro C. Paladini". Universidad de Buenos Aires. Facultad de Farmacia y Bioquímica. Instituto de Química y Físico-Química Biológicas; Argentin

Liver and intestinal protective effects of Castanea sativa Mill. bark extract in high-fat diet rats

The effects of Castanea sativa Mill. have been studied in high fat diet (HFD) overweight rats. Natural Extract of Chestnut bark (Castanea sativa Mill.) (ENC®), rich in ellagitannins, has been studied in 120 male Sprague-Dawley rats, divided in four groups. Two groups were controls: regular (RD) and HDF diet. Two groups received ENC®(20 mg/kg/day): RD + ENC®and HFD + ENC®. At baseline and at 7, 14 and 21 days, weight gain, serum lipids, plasma cytokines, liver histology, microsomial enzymes and oxidation, intestinal oxidative stress and contractility were studied. HFD increased body weight, increased pro-inflammatory cytokines, induced hepatocytes microvescicular steatosis, altered microsomial, increased liver and intestinal oxidative stress, deranged intestinal contractility. In HFD-fed rats, ENC®exerted antiadipose and antioxidative activities and normalized intestinal contractility, suggesting a potential approach to overweight management associated diseases

Ruxolitinib rechallenge in resistant or intolerant patients with myelofibrosis: Frequency, therapeutic effects, and impact on outcome

BACKGROUND After ruxolitinib discontinuation, the outcome of patients with myelofibrosis (MF) is poor with scarce therapeutic possibilities. METHODS The authors performed a subanalysis of an observational, retrospective study (RUX-MF) that included 703 MF patients treated with ruxolitinib to investigate 1) the frequency and reasons for ruxolitinib rechallenge, 2) its therapeutic effects, and 3) its impact on overall survival. RESULTS A total of 219 patients (31.2%) discontinued ruxolitinib for >= 14 days and survived for >= 30 days. In 60 patients (27.4%), ruxolitinib was rechallenged for >= 14 days (RUX-again patients), whereas 159 patients (72.6%) discontinued it permanently (RUX-stop patients). The baseline characteristics of the 2 cohorts were comparable, but discontinuation due to a lack/loss of spleen response was lower in RUX-again patients (P = .004). In comparison with the disease status at the first ruxolitinib stop, at its restart, there was a significant increase in patients with large splenomegaly (P < .001) and a high Total Symptom Score (TSS; P < .001). During the rechallenge, 44.6% and 48.3% of the patients had spleen and symptom improvements, respectively, with a significant increase in the number of patients with a TSS reduction (P = .01). Although the use of a ruxolitinib dose > 10 mg twice daily predicted better spleen (P = .05) and symptom improvements (P = .02), the reasons for/duration of ruxolitinib discontinuation and the use of other therapies before rechallenge were not associated with rechallenge efficacy. At 1 and 2 years, 33.3% and 48.3% of RUX-again patients, respectively, had permanently discontinued ruxolitinib. The median overall survival was 27.9 months, and it was significantly longer for RUX-again patients (P = .004). CONCLUSIONS Ruxolitinib rechallenge was mainly used in intolerant patients; there were clinical improvements and a possible survival advantage in many cases, but there was a substantial rate of permanent discontinuation. Ruxolitinib rechallenge should be balanced against newer therapeutic possibilities

Recognition Performance Analysis of a Multimodal Biometric System Based on the Fusion of 3D Ultrasound Hand-Geometry and Palmprint

Multimodal biometric systems are often used in a wide variety of applications where high security is required. Such systems show several merits in terms of universality and recognition rate compared to unimodal systems. Among several acquisition technologies, ultrasound bears great potential in high secure access applications because it allows the acquisition of 3D information about the human body and is able to verify liveness of the sample. In this work, recognition performances of a multimodal system obtained by fusing palmprint and hand-geometry 3D features, which are extracted from the same collected volumetric image, are extensively evaluated. Several fusion techniques based on the weighted score sum rule and on a wide variety of possible combinations of palmprint and hand geometry scores are experimented with. Recognition performances of the various methods are evaluated and compared through verification and identification experiments carried out on a homemade database employed in previous works. Verification results demonstrated that the fusion, in most cases, produces a noticeable improvement compared to unimodal systems: an EER value of 0.06% is achieved in at least five cases against values of 1.18% and 0.63% obtained in the best case for unimodal palmprint and hand geometry, respectively. The analysis also revealed that the best fusion results do not include any combination between the best scores of unimodal characteristics. Identification experiments, carried out for the methods that provided the best verification results, consistently demonstrated an identification rate of 100%, against 98% and 91% obtained in the best case for unimodal palmprint and hand geometry, respectively

3D Palmprint Recognition Through Ultrasound Imaging

Biometric recognition systems based on 3D information of palmprint have been experimented with in the last years. Optical technology is the most widely used, but it provides information on the external surface only. Ultrasound, instead, allows obtaining information that accounts for principal lines depth. In this work, a 3D palmprint recognition system, based on images acquired through an Ultrasound system by using water or gel as a coupling medium between the probe and hand, is proposed and tested. In both cases, a 3D template that contains information on the depth of principal lines is generated by combining 2D templates obtained from images extracted at various under-skin depths. The performances of the system have been evaluated through verification and identification experiments on home-made databases of 633 water samples and 423 gel samples, respectively. For both cases, the 3D method reports better results than the 2D one. Furthermore, the recognition capability of the proposed system is comparable with that of the best optical system reported in the literature

Ultrasound wrist vein pattern for biometric recognition

Wrist vein patterns are acquiring increasing con-sideration in biometric recognition application. Optical and near infrared technologies provide only 2D information. In this work, 3D wrist vein patterns, extracted from grayscale ultrasound images, are evaluated for biometric recognition purposes. Both water and gel were experimented with as coupling medium; water provided better image quality. A procedure for extracting 3D vascula pattern was derived and evaluated both by comparison with C-mode image at various depth and through verification experiments on a limited number of samples. Preliminary. results were encouraging and showed that 3D templates provide better recognition performances than 2D ones

Recent Advances in Machine Learning Applied to Ultrasound Imaging

Machine learning (ML) methods are pervading an increasing number of fields of application because of their capacity to effectively solve a wide variety of challenging problems. The employment of ML techniques in ultrasound imaging applications started several years ago but the scientific interest in this issue has increased exponentially in the last few years. The present work reviews the most recent (2019 onwards) implementations of machine learning techniques for two of the most popular ultrasound imaging fields, medical diagnostics and non-destructive evaluation. The former, which covers the major part of the review, was analyzed by classifying studies according to the human organ investigated and the methodology (e.g., detection, segmentation, and/or classification) adopted, while for the latter, some solutions to the detection/classification of material defects or particular patterns are reported. Finally, the main merits of machine learning that emerged from the study analysis are summarized and discussed

Nutraceuticals in Gastrointestinal ailments : an emerging paradigm

Inflammatory bowel disease (IBD) is a chronic gastrointestinal disorder, of multifactorial origin. The pathogenetic mechanisms consist of immune dysregulation, altered intestinal microflora, oxidative stress, defects in the gastrointestinal mucosal barrier and increased permeability, altered intestinal motility, whose interplay leads to the onset of a state of chronic mucosal inflammation.1 The drugs for IBD treatment include corticosteroids, immunosuppressants, and anti-tumor necrosis factor (TNF)-α antibodies, and new therapeutic molecules, that increase the risk of opportunistic infections and malignancies. Furthermore, their efficacy decreases over time and highlights the need to identify new molecular targets for IBD therapy .1 Scientific Research aims at identifying tools able to affect several targets, with minimal side effects. Nutraceutical identifies foods, or food phytochemicals, of animal or vegetal origin, with pharmaceutical properties. Many vegetal extracts determine several effects towards the gastrointestinal tract, which may result in clinical benefits in subjects suffering from IBD.2 Castanea sativa Mill. bark extract (ENC), containing high amounts of hydrolizable tannins (Fig. 1), inhibits spasmodic contractions, induced by carbachol, histamine, potassium chloride, and barium chloride in guinea pig ileum and by carbachol or serotonin in guinea pig proximal colon.3 Furthermore, ENC increases gallbladder contraction and relaxes the sphincter of Oddi, suggesting its chronic administration may result not only in a restoration of gastrointestinal contractility, but also in the prevention of gallstone disease. 4 Also Acacia catechu Willd. extract (ACE) was investigated.5 ACE contains high amounts of catechins, such as (-)-Epicatechin and (+)-Catechin. This extract decreases, in a concentration-dependent manner, colon and ileum spontaneous contractility. In addition, ACE exerts a calcium antagonistic effect, more potent in proximal colon than in ileum. Furthermore, it exhibits antimicrobial effects against Campylobacter jejuni, Escherichia coli, and Salmonella spp., without inhibiting Bifido and Lactobacillus. These data support the use of ENC and ACE as coadjuvant in the treatment of IBD