Whole-body magnetic resonance imaging (WB-MRI) in lymphoma: State of the art.

The improvements in magnetic resonance imaging (MRI) technology and the concern related to the increased cancer risk in patients with lymphoma, also due to radiation exposure associated with imaging examinations, have led to the introduction of whole-body MRI (WB-MRI) as a radiation-free alternative to standard imaging procedures. WB-MRI seems a less histology-dependent functional imaging test than 18 F-fluorodeoxyglucose-positron emission tomography/CT (18 F-FDG-PET/CT). In patients with FDG-avid lymphomas, such as diffuse large B-cell lymphoma (DLBCL) and Hodgkin lymphoma (HL), 18 F-FDG-PET/CT remains the imaging reference standard for staging, with WB-MRI potentially being a complementary modality that could replace CT, especially in young patients. On the other hand, WB-MRI is a valuable imaging procedure for lymphoma surveillance and in lymphomas with variable/low FDG avidity and nonfollicular indolent lymphomas. The aim of this paper is to discuss the current state of the art of WB-MRI in lymphoma by evaluating its diagnostic performance in different lymphoma subtypes: Hodgkin, aggressive, and indolent lymphomas.

Prevalence and clinical significance of incidental findings on multiparametric prostate MRI.

PURPOSE: To assess the prevalence and clinical significance of incidental findings (IFs) detected at multiparametric prostate MRI examination. MATERIALS AND METHODS: Multiparametric prostate MRIs of 647 consecutive patients (mean age 67.1 ± 8.0 years) were retrospectively evaluated by two radiologists recording the presence of all extra-prostatic IFs. Findings were classified as related to or not related to genitourinary system and divided into three classes, according to their clinical significance, as follows: group 1, not significant or scarcely significant; group 2, moderately or potentially significant; and group 3, significant. Differences in distribution of IFs between patients ≤ 65 years old and patients > 65 years old were assessed using Pearson's χ2 or Fisher's exact test. Statistical significance level was set at p < 0.05. RESULTS: Incidental findings (n = 461) were present in 341 (52.7%) patients, while 306 (47.3%) patients did not have any extra-prostatic IF. Overall, IFs were significantly more common in patients > 65 years old (n = 225, 57.0%) compared to patients ≤ 65 years old (n = 116, 46.0%, p = 0.007). There were 139 (30.2%) IFs related to genitourinary system and 322 (69.8%) IFs not related to genitourinary system. Group 3 IFs were almost exclusively present in patients > 65 years old (2.8%, p = 0.034) and included 7 (1.1%) bladder carcinomas, 3 (0.5%) testicle tumors, 2 (0.3%) rectal cancers. Twenty-seven (4.2%) of the 647 patients underwent surgical treatment for IFs not directly related to prostate cancer. CONCLUSION: IFs not related to prostate cancer may be frequently encountered on multiparametric prostate MRI, and they are significantly more common in patients > 65 years old.

CML-Cardio: a cascade machine learning model to predict cardiovascular disease risk as a primary prevention strategy.

Cardiovascular diseases are among the leading causes of mortality worldwide, with more than 23 million related deaths per year by 2030, according to the World Heart Federation. Although most of these diseases may be prevented, population awareness strategies are still ineffective. In this context, we propose the CML-Cardio tool, a machine learning application to automate the risk classification process of developing CVDs. For this, researchers in our group collected data on diabetes, blood pressure, and other risk factors in a private company. Our final model consists of a cascade system to handle highly imbalanced data. In the first stage, a binary model is responsible for predicting whether a patient has a low risk of developing CVDs or if has a risk that needs attention. In this step, we use six algorithms: logistic regression, SVM, random forest, XGBoost, CatBoost, and multilayer perceptron. The better results presented an average accuracy of 0.86 ± 0.03 and f-score of 0.85 ± 0.04. We interpret each feature's impact on the models' output and validate the subsystem for the next step. In the second stage, we use an anomaly detection model to learn the intermediate risk patterns present in the instances that need attention. The cascade model presented an average accuracy of 0.80 ± 0.07 and f-score of 0.70 ± 0.07. Finally, we develop the CML-Cardio prototype of an actual application as a primary prevention strategy. Graphical abstract In this work, we propose the CML-Cardio tool, a cascade machine learning method to classify cardiovascular disease risk.

Deep Learning-Based Methods for Prostate Segmentation in Magnetic Resonance Imaging.

Magnetic Resonance Imaging-based prostate segmentation is an essential task for adaptive radiotherapy and for radiomics studies whose purpose is to identify associations between imaging features and patient outcomes. Because manual delineation is a time-consuming task, we present three deep-learning (DL) approaches, namely UNet, efficient neural network (ENet), and efficient residual factorized convNet (ERFNet), whose aim is to tackle the fully-automated, real-time, and 3D delineation process of the prostate gland on T2-weighted MRI. While UNet is used in many biomedical image delineation applications, ENet and ERFNet are mainly applied in self-driving cars to compensate for limited hardware availability while still achieving accurate segmentation. We apply these models to a limited set of 85 manual prostate segmentations using the k-fold validation strategy and the Tversky loss function and we compare their results. We find that ENet and UNet are more accurate than ERFNet, with ENet much faster than UNet. Specifically, ENet obtains a dice similarity coefficient of 90.89% and a segmentation time of about 6 s using central processing unit (CPU) hardware to simulate real clinical conditions where graphics processing unit (GPU) is not always available. In conclusion, ENet could be efficiently applied for prostate delineation even in small image training datasets with potential benefit for patient management personalization.

Explaining machine learning based diagnosis of COVID-19 from routine blood tests with decision trees and criteria graphs.

The sudden outbreak of coronavirus disease 2019 (COVID-19) revealed the need for fast and reliable automatic tools to help health teams. This paper aims to present understandable solutions based on Machine Learning (ML) techniques to deal with COVID-19 screening in routine blood tests. We tested different ML classifiers in a public dataset from the Hospital Albert Einstein, São Paulo, Brazil. After cleaning and pre-processing the data has 608 patients, of which 84 are positive for COVID-19 confirmed by RT-PCR. To understand the model decisions, we introduce (i) a local Decision Tree Explainer (DTX) for local explanation and (ii) a Criteria Graph to aggregate these explanations and portrait a global picture of the results. Random Forest (RF) classifier achieved the best results (accuracy 0.88, F1-score 0.76, sensitivity 0.66, specificity 0.91, and AUROC 0.86). By using DTX and Criteria Graph for cases confirmed by the RF, it was possible to find some patterns among the individuals able to aid the clinicians to understand the interconnection among the blood parameters either globally or on a case-by-case basis. The results are in accordance with the literature and the proposed methodology may be embedded in an electronic health record system.

Comparison of the Enhancement Pattern of Hepatic Hemangioma on Magnetic Resonance Imaging Performed With Gd-EOB-DTPA Versus Gd-BOPTA.

PURPOSE: To compare magnetic resonance imaging (MRI) findings with gadoxetic acid and gadobenate dimeglumine for the diagnosis of hepatic hemangiomas. MATERIALS AND METHODS: In this retrospective study, we included 26 hemangiomas (mean size was 14 mm ± 10 mm) in 19 patients (mean age 60 ± 14 years) scanned with both gadobenate dimeglumine MRI and gadoxetic acid MRI. For each patient, we collected multiple lesion variables including location, number, size and enhancement pattern on arterial, portal venous, 3-minute and hepatobiliary phases with both gadoxetic acid and gadobenate dimeglumine. The enhancement pattern with the two contrast agents was then compared. RESULTS: The typical enhancement pattern of hepatic hemangiomas was more common-though not statistically significant-with gadobenate dimeglumine compared to gadoxetic acid (57% [15 of 26] vs 42% [11 of 26], respectively; P = 0.4057 for both peripheral globular discontinuous enhancement in the arterial phase and centripetal fill-in in the portal venous phase). A significantly higher number of hemangiomas showed centripetal fill-in or hyperintensity in the 3-minute phase with gadobenate dimeglumine compared to gadoxetic acid (88% [23 of 26) vs 58% [15 of 26]; P = 0.0266). A pseudo washout sign in the 3-minute phase was detected in one of the 5 flash-filling hemangiomas with gadoxetic acid, but not gadobenate dimeglumine. All hemangiomas were hypointense in the hepatobiliary phase with both gadobenate dimeglumine and gadoxetic acid. CONCLUSIONS: The enhancement pattern of hepatic hemangiomas may vary depending on the hepatobiliary agent, with more frequent lack of the typical pattern with gadoxetic acid compared to gadobenate dimeglumine.

Diffusion-Weighted Imaging in Oncology: An Update.

To date, diffusion weighted imaging (DWI) is included in routine magnetic resonance imaging (MRI) protocols for several cancers. The real additive role of DWI lies in the "functional" information obtained by probing the free diffusivity of water molecules into intra and inter-cellular spaces that in tumors mainly depend on cellularity. Although DWI has not gained much space in some oncologic scenarios, this non-invasive tool is routinely used in clinical practice and still remains a hot research topic: it has been tested in almost all cancers to differentiate malignant from benign lesions, to distinguish different malignant histotypes or tumor grades, to predict and/or assess treatment responses, and to identify residual or recurrent tumors in follow-up examinations. In this review, we provide an up-to-date overview on the application of DWI in oncology.

Imaging features of adrenal masses.

The widespread use of imaging examinations has increased the detection of incidental adrenal lesions, which are mostly benign and non-functioning adenomas. The differentiation of a benign from a malignant adrenal mass can be crucial especially in oncology patients since it would greatly affect treatment and prognosis. In this setting, imaging plays a key role in the detection and characterization of adrenal lesions, with several imaging tools which can be employed by radiologists. A thorough knowledge of the imaging features of adrenal masses is essential to better characterize these lesions, avoiding a misinterpretation of imaging findings, which frequently overlap between benign and malignant conditions, thus helping clinicians and surgeons in the management of patients. The purpose of this paper is to provide an overview of the main imaging features of adrenal masses and tumor-like conditions recalling the strengths and weaknesses of imaging modalities commonly used in adrenal imaging.

Role of apparent diffusion coefficient values in prostate diseases characterization on diffusion-weighted magnetic resonance imaging.

BACKGROUND: To evaluate if normal and pathological prostate tissue can be distinguished by using apparent diffusion coefficient (ADC) values on magnetic resonance imaging (MRI) and to understand if it is possible to differentiate among pathological prostate tissues using ADC values. METHODS: Our population consisted in 81 patients (mean age 65.4 years) in which 84 suspicious areas were identified. Regions of interest were placed over suspicious areas, detected on MRI, and over areas with normal appearance, and ADC values were recorded. Statistical differences between ADC values of suspicious and normal areas were evaluated. Histopathological diagnosis, obtained from targeted biopsy using MRI-US fusion biopsies in 39 patients and from prostatectomy in 42 patients, were correlated to ADC values. RESULTS: Histopathological diagnosis revealed 58 cases of prostate cancer (PCa), 19 patients with indolent PCa (Gleason Score ≤6) and 39 patients with clinically significant PCa (Gleason Score ≥7), 16 of high-grade prostatic intraepithelial neoplasia (HG-PIN) and 10 of atypical small acinar proliferation (ASAP). Significant statistical differences between mean ADC values of normal prostate tissue versus PCa (P<0.00001), HG-PIN (P<0.00001) and ASAP (P<0.00001) were found. Significant differences were observed between mean ADC values of PCa versus HG-PIN (P<0.00001) and ASAP (P<0.00001) with many overlapping values. Differences between mean ADC values of HG-PIN versus ASAP (P=0.015) were not significant. Significant differences of ADC values were also observed between patients with indolent and clinically significant PCa (P<0.00001). CONCLUSIONS: ADC values allow differentiation between normal and pathological prostate tissue and between indolent and clinically significant PCa but do not allow a definite differentiation between PCa, HG-PIN, and ASAP.

Association between soy and green tea (Camellia sinensis) diminishes hypercholesterolemia and increases total plasma antioxidant potential in dyslipidemic subjects.

OBJECTIVE: To evaluate the hypolipemic and antioxidant effects of soy and green tea alone and/or in association in dyslipidemic subjects. METHODS: One hundred dyslipidemic individuals were allocated into four groups. The soy group ingested 50 g of soy (kinako) daily, and the green tea group ingested 3 g of green tea in 500 mL of water per day. A third group ingested 50 g of soy and 3 g of green tea daily, and the control group had a hypocholesterolemic diet. Evaluations were performed at baseline and after 45 and 90 d. Plasma levels of total cholesterol, high-density lipoprotein, and triacylglycerols were evaluated by automated methods. Low-density lipoprotein (LDL) cholesterol was calculated using the Friedewald equation. LDL was isolated by ultracentrifugation. Total plasma antioxidant capacity and plasma levels of total lipid hydroperoxides and those linked to LDL were evaluated by chemiluminescence. The results were expressed as median values and their 25th to 75th percentiles, with a 5% level of significance. RESULTS: No significant difference occurred in LDL, high-density lipoprotein cholesterol, and triacylglycerol levels across groups. However, a statistically significant difference in total cholesterol occurred within the soy/green tea group 45 and 90 d after intervention. No statistically significant difference occurred in plasma levels of lipid hydroperoxides or those linked to LDL in any of the groups studied. All the groups that used soy and/or green tea presented increased total plasma antioxidant potential. CONCLUSION: Soy and green tea, alone or in combination, increased the total antioxidant potential of hypercholesterolemic patients, whereas only the combination decreased total cholesterol levels.

Immunity against infectious diseases: predictive value of self-reported history of vaccination and disease.

OBJECTIVE: To determine whether self-reported history of disease and/or vaccination is predictive of immunity against hepatitis B, varicella, rubella, mumps, and measles. DESIGN: The seroprevalence of viral antibodies and the predictive value of a self-report questionnaire were determined for 616 paramedical students who matriculated into Padua Medical School (Padua, Italy) during 2003-2005. RESULTS: The majority of subjects (86.9%) remembered being vaccinated against hepatitis B but had no recollection of disease. Among vaccinees, 1.5% showed markers of previous infection, 6.7% tested negative for anti-hepatitis B virus surface antigen (anti-HBsAg) antibodies, and 91.8% tested positive for anti-HBsAg. Self-reported vaccination history had a positive predictive value of 93.2% for test results positive for immunity against hepatitis B. Immunity against varicella (93.7% of subjects) and rubella (95.5%) was high, compared with immunity against mumps (79.9%) and measles (83.1%). In addition, results of tests for detection of immunity against mumps and measles were equivocal for more than 7% of subjects, probably because their vaccination regimen was not completed. Self-reported histories of varicella disease and rubella disease and vaccination had high positive predictive values (greater than 98% each) for testing positive for antiviral antibodies, compared with self-reported histories of mumps disease and vaccination and measles disease and vaccination; however, high positive predictive values were observed for self-reported histories of mumps only (92.0%) and measles only (94.7%). CONCLUSIONS: The self-report questionnaire used in this study did not accurately predict immunity against 5 transmittable but vaccine-preventable diseases. A complete serological evaluation of healthcare workers, followed by vaccination of those with negative or equivocal results of serological tests, is an appropriate measure to decrease the risk of infection in this population.

Effect of low-level light therapy on diabetic foot ulcers: a near-infrared spectroscopy study.

Diabetic foot ulcer (DFU) is a diabetic complication due to peripheral vasculopathy and neuropathy. A promising technology for wound healing in DFU is low-level light therapy (LLLT). Despite several studies showing positive effects of LLLT on DFU, LLLT's physiological effects have not yet been studied. The objective of this study was to investigate vascular and nervous systems modification in DFU after LLLT. Two samples of 45 DFU patients and 11 healthy controls (HCs) were recruited. The total hemoglobin (totHb) concentration change was monitored before and after LLLT by near-infrared spectroscopy and analyzed in time and frequency domains. The spectral power of the totHb changes in the very-low frequency (VLF, 20 to 60 mHz) and low frequency (LF, 60 to 140 mHz) bandwidths was calculated. Data analysis revealed a mean increase of totHb concentration after LLLT in DFU patients, but not in HC. VLF/LF ratio decreased significantly after the LLLT period in DFU patients (indicating an increased activity of the autonomic nervous system), but not in HC. Eventually, different treatment intensities in LLLT therapy showed a different response in DFU. Overall, our results demonstrate that LLLT improves blood flow and autonomic nervous system regulation in DFU and the importance of light intensity in therapeutic protocols.

Imaging features of solid renal masses.

The widespread use of abdominal imaging techniques has increased the detection of solid renal masses over the past years. Imaging plays a crucial role in the management and surveillance and in determining which lesions need treatment. The "classical angiomyolipoma" is the only benign solid renal mass that can be characterized with confidence by imaging through the detection of a fat-containing lesion without calcifications. There is a large overlap of imaging features between benign and malignant renal masses that often makes difficult a correct characterization of these lesions. In this review, we discuss the imaging features of the main solid renal masses that may suggest a likely benign diagnosis.

Is blood glucose on admission a predictor of mortality in adult acute pneumonia?

BACKGROUND: Even if hyperglycaemia is often identified as an independent risk factor for developing respiratory tract infection, only few studies have investigated this relationship. The aim of this study is to investigate if plasma glucose on admission is related with in-hospital mortality among patients with pneumonia and to identify the glycaemic range with significant reductions of mortality risks in non-intensive care patients. METHODS: Data come from administrative records of 1018 non-intensive care patients hospitalised with diagnosis of pneumonia. For every patient, administrative records were linked with the plasma glucose. A multivariate logistic regression model was performed in order to evaluate the associations between in-hospital mortality and a set of demographic and clinical variables. Plasma glucose was added to the model as restricted cubic spline; risk estimates for hypoglycaemic and hyperglycaemic patients have been derived on the basis of this nonlinear model and presented with two values of odds ratio (OR). RESULTS: The minimal risk of in-hospital mortality was found at plasma glucose levels of mean 86 mg/dL [95% confidence interval (CI) 61-102]. The adjusted OR of deaths for plasma glucose on admission for hypoglycaemic patients (below 86 mg/dL) is 0.78 (95% CI 0.62-0.98) for each 10 mg/dL of decrease, whereas for hyperglycaemic patients (above 86 mg/dL), the OR is 1.33 (95% CI 1.07-1.66) for each 10 mg/dL of increase in plasma glucose. CONCLUSIONS: Our observations suggest that in non-intensive care patients, hypoglycaemia, as hyperglycaemia, is associated with in-hospital mortality.

HBV and HCV infection in type 2 diabetes mellitus: a survey in three diabetes units in different Italian areas.

Viral infections and the metabolic syndrome may coexist in several individuals, due to the large prevalence of obesity and type 2 diabetes mellitus (T2DM). Antiviral therapy has changed the natural history of chronic viral hepatitis, but viral infection may remain undiagnosed in the absence of systematic screening. We determined the prevalence of HBV and/or HCV infection in an Italian cohort with T2DM (859 consecutive patients, 413 females) in three Italian centers: Turin, Bologna, and Naples. Screening for viral disease was coupled with the determination of parameters of metabolic syndrome. Fourteen patients were HBsAg-positive, 51 anti-HCV with a prevalence of genotype-1 infection in 58% of cases. Thirty cases had newly diagnosed viral markers, only one-third had already-diagnosed liver disease, 16 were being followed-up by a Liver Unit, and 9 cases had received antiviral treatment. Patients with viral markers had higher liver enzyme levels in comparison with virus-negative patients (P < 0.0001), whereas the prevalence of the metabolic syndrome was similar in the 2 groups. A positive correlation between BMI and alanine aminostransferase levels was only present in virus-negative cases, where the probability of enzyme levels above the upper limit of normal increased by 5% for unit of increase in BMI (OR: 1.05; 95% CI: 1.003-1.100, P = 0.037). In conclusion, the prevalence of HBV and HCV is non-negligible in patients with T2DM, but these cases may long remain undiagnosed. Elevated liver enzymes might be frequently disregarded in diabetes Units and ascribed to metabolic syndrome, thus excluding T2DM patients from specific disease-modifying antiviral treatment for hepatitis.

El carbón activado y las condiciones de oscuridad en la micropropagación de banana variedad Nanicão / Activated Carbon and dark conditions in banana micropropagation Variety Nanicão

El objetivo del trabajo fue evaluar los efectos del carbón activado y las condiciones de oscuridad inicial sobre la propagación in vitro de banana (Musa spp.) variedad Nanicão. Fueron empleados 64 ápices provenientes de hijuelos de 20 - 30 cm. Los tratamientos consistieron en la combinación de dos concentraciones de carbón activado (2 y 3 g/l) y dos condiciones de oscuridad inicial (15 y 30 días). El diseño experimental utilizado fue completamente al azar con arreglo factorial 2 x 2 y cuatro repeticiones. Cada unidad experimental estuvo constituida por cuatro ápices. Las variables evaluadas fueron la tasa media de multiplicación, el porcentaje de supervivencia, oxidación, contaminación y aclimatización de plántulas. El análisis estadístico consistió en el ANAVA con un nivel de significancia del 5 %. Las medias fueron comparadas a través del test de Tukey al 5 % de probabilidad. Los resultados mostraron que la combinación de 2 g/l de carbón activado y 15 días de oscuridad inicial promovió el mayor porcentaje de supervivencia del primer subcultivo que alcanzo 57,30 %. En la fase de establecimiento el porcentaje de contaminación de los ápices de 39,06 % mientras que en el primer subcultivo de 22,39 %. La oxidación en la fase de establecimiento fue de 9,37 % y en el primer subcultivo fue de 8,85 %. Se concluye que la combinación entre la concentración de 2 g/l de carbón activado y 15 días de período de incubación inicial resulta efectiva en el aumento de la supervivencia de los ápices.

The objective of this work was to evaluate the effects of activated charcoal and the initial darkness conditions in the propagation in vitro of banana (Musa spp.) variety Nanicão. Were employed 64 apexes coming from shoots of approximately 20 to 30 cm. The treatments consisted in the combination of two concentrations of activated charcoal (2 and 3 g/l) and two initial dark conditions (15 and 30 days). The experimental design went completely randomized with 2 x 2 factorial arrangement and four replications. Each experimental unit consisted of four apexes. Statistical analysis consisted ANOVA with significance level of 5 %. The variables were the average rate of multiplication, survival percentage, oxidation, contamination and acclimatization of plantlets. Means were compared by Tukey test at 5 % of probability. The results showed significant difference in the interaction between the concentration of 2 g/l of activated charcoal and 15 days of initial darkness at the survival percentage from the first subculture which reached 57.30 %. In the establishment phase the percentage of contamination of the apexes was 39.06 % while that in the first subculture was 22.39 %. The oxidation in the establishment phase was 9.37 % and in the first subculture was 8.85 %. It is concluded the interaction between the concentration of 2 g/l of activated charcoal and 15 days of initial incubation period is effective in increasing survival.

Plasma malondialdehyde levels and CXCR4 expression in peripheral blood cells of breast cancer patients.

INTRODUCTION: Breast cancer is one of the most common neoplasms in women and is a leading cause of cancer related deaths worldwide. Chemokines and their receptors are involved in the control of lymphocyte traffic, a critical component of systemic immunity. CXCR4 mRNA could be involved in the development of variety of diseases. Lipid peroxidation, the result of nonenzymatic autooxidation of polyunsaturated fatty acids, presents numerous harmful effects on biological systems and has been implicated in diseases like cancer. This study examined CXCR4 mRNA expression in peripheral blood cells and malondialdehyde (MDA) in plasma from blood donors and breast cancer patients. MATERIALS AND METHODS: CXCR4 expression in peripheral blood cells from 59 breast cancer patients and 76 healthy blood donors was analyzed by real-time PCR. Plasma MDA was analyzed using high-performance liquid chromatography (HPLC). CONCLUSION: In all stages, MDA levels in total breast cancer patients (1.41 +/- 0.11) were significantly higher (P < 0.01) than those in healthy subjects (0.34 +/- 0.03). No statistically significant difference occurred between CXCR4 expression in peripheral blood cells from breast cancer patients (1.69 +/- 1.05) and the normal healthy control group (1.8 +/- 0.65). However, stage II samples differed statistically (4.3 +/- 1.72) from control, total cancer patients and stages I, III and IV samples.