Pattern Recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical learning (PARADISE): protocol for the development of an intelligent decision support system using fetal morphology ultrasound scan to detect fetal congenital anomaly detection.

INTRODUCTION: Congenital anomalies are the most encountered cause of fetal death, infant mortality and morbidity. 7.9 million infants are born with congenital anomalies yearly. Early detection of congenital anomalies facilitates life-saving treatments and stops the progression of disabilities. Congenital anomalies can be diagnosed prenatally through morphology scans. A correct interpretation of the morphology scan allows a detailed discussion with the parents regarding the prognosis. The central feature of this project is the development of a specialised intelligent system that uses two-dimensional ultrasound movies obtained during the standard second trimester morphology scan to identify congenital anomalies in fetuses. METHODS AND ANALYSIS: The project focuses on three pillars: committee of deep learning and statistical learning algorithms, statistical analysis, and operational research through learning curves. The cross-sectional study is divided into a training phase where the system learns to detect congenital anomalies using fetal morphology ultrasound scan, and then it is tested on previously unseen scans. In the training phase, the intelligent system will learn to answer the following specific objectives: (a) the system will learn to guide the sonographer's probe for better acquisition; (b) the fetal planes will be automatically detected, measured and stored and (c) unusual findings will be signalled. During the testing phase, the system will automatically perform the above tasks on previously unseen videos.Pregnant patients in their second trimester admitted for their routine scan will be consecutively included in a 32-month study (4 May 2022-31 December 2024). The number of patients is 4000, enrolled by 10 doctors/sonographers. We will develop an intelligent system that uses multiple artificial intelligence algorithms that interact between themselves, in bulk or individual. For each anatomical part, there will be an algorithm in charge of detecting it, followed by another algorithm that will detect whether anomalies are present or not. The sonographers will validate the findings at each intermediate step. ETHICS AND DISSEMINATION: All protocols and the informed consent form comply with the Health Ministry and professional society ethics guidelines. The University of Craiova Ethics Committee has approved this study protocol as well as the Romanian Ministry of Research Innovation and Digitization that funded this research. The study will be implemented and reported in line with the STROBE (STrengthening the Reporting of OBservational studies in Epidemiology) statement. TRIAL REGISTRATION NUMBER: The study is registered under the name 'Pattern recognition and Anomaly Detection in fetal morphology using Deep Learning and Statistical Learning', project number 101PCE/2022, project code PN-III-P4-PCE-2021-0057. TRIAL REGISTRATION: ClinicalTrials.gov, unique identifying number NCT05738954, date of registration: 2 November 2023.

Correlation of the Pro-Inflammatory Cytokines IL-1ß, IL-6, and TNF-α, Inflammatory Markers, and Tumor Markers with the Diagnosis and Prognosis of Colorectal Cancer.

Colorectal cancer (CRC) remains one of the most important global health problems, being in the top 3 neoplasms in terms of the number of cases worldwide. Although CRC develops predominantly from the adenoma-adenocarcinoma sequence through APC gene mutations, in recent years, studies have demonstrated the role of chronic inflammation in this neoplasia pathogenesis. Cytokines are important components of chronic inflammation, being some of the host regulators in response to inflammation. The pro-inflammatory cytokines IL-1ß, IL-6, and TNF-α are involved in tumor cell proliferation, angiogenesis, and metastasis and seem to strengthen each other's mode of action, these being stimulated by the same mediators. In our study, we collected data on 68 patients with CRC and 20 healthy patients from the Gastroenterology Department of Craiova County Emergency Clinical Hospital, who were assessed between January 2022 and February 2023. The main purpose of this study was to investigate the correlation between increased plasma levels of the cytokines and the extent of the tumor, lymph nodes, and metastasis-(TNM stage), as well as the patients' prognoses. We also compared the plasma levels of cytokines and acute inflammatory markers, namely, the erythrocyte sedimentation rate (ESR), c-reactive protein (CRP), and fibrinogen, along with the tumor markers, carcinoembryonic antigen (CEA) and carbohydrate antigen 19.9 (CA 19.9), in CRC patients. We showed that all the pro-inflammatory cytokines studied had higher levels in patients with CRC in comparison with the control group. We also showed that the acute inflammatory markers of erythrocyte sedimentation rate, C-reactive protein, and fibrinogen, and the tumor markers of CEA and CA 19.9 can be useful in diagnosis and prognosis in patients with CRC. Considering the association between pro-inflammatory cytokines and CRC, the development of new targeted therapies against IL-1ß, IL-6, and TNF-α can improve patient care and the CRC survival rate.

Assessment of Stroke Patients Admitted to a Tertiary Emergency County Hospital of Mehedinți - Romania.

Cerebrovascular accidents (CVA)-strokes represent a major public health problem worldwide, due to the large number of people affected. Also, there is a large number of people who die from stroke, especially in developing countries. Our study included a group of 119 patients, diagnosed with stroke and admitted to the Emergency Hospital of Drobeta Turnul-Severin, Mehedinți county, between 2016-2020. The analysis of risk factors and associated comorbidities showed that stroke can affect both the elderly and young people, under 20 years old. However, approximately 4/5 of CVA patients (79.83%) were aged over 50 years old. If non-ischemic strokes predominated in patients under the age of 50, after this age there is a tendency to balance the incidence between the eight main forms of stroke. No significant differences were observed regarding the social environment of the patients, which shows that the risk factors are almost identical in both social environments. Among the modifiable risk factors, we highlighted: high blood pressure in 55.46% of cases, obesity in 19.33% of cases, atherosclerosis in 10.92% of cases, diabetes mellitus in 10.92%, kidney failure in 6.72% of cases. The data we obtained show that there are possibilities to reduce the incidence of stroke by controlling and reducing the modifiable risk factors.

The Role of Uterine Artery Doppler in the Second and Third Trimesters for Prediction of Preeclampsia and Fetal Growth Restriction Developed as a Consequence of Placental-Mediated Diseases.

Placenta-mediated pregnancy disorders represent a disease that includes preeclampsia (PE) and the birth of small for gestational age (SGA) children, these conditions increase the risk of mortality and morbidity both maternal and fetal/neonatal, in the short and long-term. METHODS: The prospective study included 106 patients in whom ultrasound Doppler scans of uterine artery (UtA) were performed in the 2nd trimester between 20.0-23.6 weeks of gestation and the 3rd trimester between 28.0-32.6 weeks of gestation. RESULTS: In the second trimester, the average of the UtA-PI percentiles was statistically significant (p<0.05) in correlation with PE and SGA, as in the third trimester. Statistically significant (p<0.05) was also the correlation of UtA-PI >95 percentile with the development of PE and SGA. On the other hand, the present notch, in the two trimesters studied, analyzed as a single index, did not present a statistically significant association (p>0.05). CONCLUSIONS: The results of our study showed that UtA-PI Doppler is the best predictor of preeclampsia considering the association of intrauterine growth restriction, as most studies have found.

Assessment of the aortic tunica media histological changes in relation with the cause of death.

AIM: The authors set out to evaluate the correlations between three of the main morphological aortic parameters (elastic fibers - FE, collagen fibers - FCOL, and smooth muscle fibers - FM) and the cause of death. MATERIALS AND METHODS: Study groups included 25 cases died of a vascular disease (V_P), 37 cases died of a non-vascular disease (NV_P) and 28 cases died of a violent/suspect non-pathological cause of death (V_Dth), the latter group representing also the control group. Four aortic cross-sections (base, arch, thoracic, and abdominal regions) were collected during autopsy from the selected cases, fixed in 10% buffered formalin and first of all photographed together with a calibrating ruler. Then, they were embedded in paraffin, sectioned off at 4 µm and stained with Hematoxylin-Eosin (HE) and Orcein. The obtained histological slides were transformed into virtual slides. Fibrillary components amounts were using a custom-made software, developed in MATLAB (MathWorks, USA). Statistical tools used were Pearson's correlation test, t-test (two-sample assuming equal variances) and one-way analysis of variance (ANOVA) test. RESULTS AND DISCUSSIONS: The amounts of the three fibrillary components of the aortic tunica media had a synchronous variation in all aortic regions in each of the three groups, excepting FCOL in the group of patients died from vascular pathology, which presented only a trend of synchronous variation along the aorta. FE had their lowest values and FCOL had their highest values in patients died from vascular pathology. FCOL had always higher levels than FE in people died from any pathological condition, vascular or non-vascular. FM had always at least two times lower level than that of the other types of fibers, regardless of whether the person died due to a pathological condition or not. CONCLUSIONS: The different pathological conditions causing death are influencing the fibrillary composition of aortic tunica media. Further studies are required to reveal other changes in the morphology of aortic wall in particular and vascular wall in general that could be related with different pathological conditions affecting the entire organism.

Implementation of a Customized Safety Checklist in Gastrointestinal Endoscopy and the Importance of Team Time Out-A Dual-Center Pilot Study.

Background and Objectives: Checking and correctly preparing the patient for endoscopic procedures is a mandatory step for the safety and quality of the interventions. The aim of this paper is to emphasize the importance and necessity of a "team time out" as well as the implementation of a customized "checklist" before the actual procedure. Material and Methods: We developed and implemented a checklist for the safe conduct of endoscopies and for the entire team to thoroughly know about the patient's medical history. The subjects of this study were 15 physicians and 8 endoscopy nurses who performed overall 572 consecutive GI endoscopic procedures during the study period. Results: This is a prospective pilot study performed in the endoscopy unit of two tertiary referral medical centers. We customized a safety checklist that includes the steps to be followed before, during and after the examination. It brings together the whole team participating in the procedure in order to check the key points during the following three vital phases: before the patient falls asleep, before the endoscope is inserted and before the team leaves the examination room. The perception of team communication and teamwork was improved after the introduction of the checklist. The checklist completion rates, identity verification rates of patients by the endoscopist, adequate histological labeling management and explicit recording of follow-up recommendations are some of the parameters that improved post-intervention. Conclusions: Using a checklist and adapting it to local conditions is a high-level recommendation of the Romanian Ministry of Health. In a medical world where safety and quality are essential, a checklist could prevent medical errors, and team time out can ensure high-quality endoscopy, enhance teamwork and offer patients confidence in the medical team.

Clinicopathological Analysis of Complicated Colorectal Cancer: A Five-Year Retrospective Study from a Single Surgery Unit.

Patients with primary colorectal cancer can present with obstructions, tumor bleeding, or perforations, which represent acute complications. This paper aimed to analyze and compare the clinical and pathological profiles of two patient groups: one with colorectal cancer and a related complication and another without any specific complication. We performed a five-year retrospective study on colorectal cancer patients admitted to a surgery unit and comparatively explored the main clinical and pathological features of the tumors belonging to the two groups. A total of 250 patients with colorectal cancer were included in the analysis. Of these, 117 (46.8%) had presented a type of complication. The comparative analysis that examined several clinical and pathological parameters showed a statistically significant difference for unfavorable prognosis factors in the group with complications. This was evident for features such as vascular and perineural invasion, lymph node involvement, pathological primary tumor stage, and TNM stage. Colorectal cancers with a related complication belonged to a group of tumors with a more aggressive histopathologic profile and more advanced stages. Furthermore, the comparable incidence of cases in the two groups of patients warrants further efforts to be made in terms of early detection and prognosis prediction of colorectal cancer.

Preoperative Immunocite-Derived Ratios Predict Surgical Complications Better when Artificial Neural Networks Are Used for Analysis-A Pilot Comparative Study.

We aimed to comparatively assess the prognostic preoperative value of the main peripheral blood components and their ratios-the systemic immune-inflammation index (SII), neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), and platelet-to-lymphocyte ratio (PLR)-to the use of artificial-neural-network analysis in determining undesired postoperative outcomes in colorectal cancer patients. Our retrospective study included 281 patients undergoing elective radical surgery for colorectal cancer in the last seven years. The preoperative values of SII, NLR, LMR, and PLR were analyzed in relation to postoperative complications, with a special emphasis on their ability to accurately predict the occurrence of anastomotic leak. A feed-forward fully connected multilayer perceptron network (MLP) was trained and tested alongside conventional statistical tools to assess the predictive value of the abovementioned blood markers in terms of sensitivity and specificity. Statistically significant differences and moderate correlation levels were observed for SII and NLR in predicting the anastomotic leak rate and degree of postoperative complications. No correlations were found between the LMR and PLR or the abovementioned outcomes. The MLP network analysis showed superior prediction value in terms of both sensitivity (0.78 ± 0.07; 0.74 ± 0.04; 0.71 ± 0.13) and specificity (0.81 ± 0.11; 0.69 ± 0.03; 0.9 ± 0.04) for all the given tasks. Preoperative SII and NLR appear to be modest prognostic factors for anastomotic leakage and overall morbidity. Using an artificial neural network offers superior prognostic results in the preoperative risk assessment for overall morbidity and anastomotic leak rate.

Analysis of the relationship between placental histopathological aspects of preterm and term birth.

OBJECTIVES: This study aims to establish a correlation between placental histopathological and immunohistochemical (IHC) changes and preterm birth with fetal growth restriction (FGR, formerly called intrauterine growth restriction - IUGR). PATIENTS, MATERIALS, AND METHODS: This prospective study was performed on a group of 30 parturients, with singleton gestation, of which 15 patients gave birth at term, and the other 15 patients gave birth prematurely. After the statistical correlation of the clinical and demographic data with premature birth (PB) and term birth (TB), we performed histological and IHC research on the respective placentae. To observe normal and pathological microscopic placental structures, we used the Hematoxylin-Eosin (HE) and Periodic Acid Schiff-Hematoxylin (PAS-H) classical stainings, but also special immunostaining with anti-cluster of differentiation 34 (CD34) and anti-vascular endothelial growth factor (VEGF) antibodies. RESULTS: We found a statistically significant difference between the TB∕PB categories and the age of the patients, their antepartum weight, the weight of the newborns, and the placenta according to the sex of the newborn. Histological analysis revealed in the case of TB, small areas of perivillous amyloid deposition, with the significant extension of these areas both intravillous and perivillous in the case of PB. Massive intravillous calcifications, syncytial knots, and intravillous vascular thrombosis were also frequently present in PB. With PAS-H staining were highlighted the intra∕extravillous vascular basement membranes, but especially the massive fibrin deposits rich in glycosaminoglycans. By the IHC technique with the anti-CD34 antibody, we noticed the numerical vascular density, higher in the case of TB, but in the case of PB, there were large areas of placental infarction, with a lack of immunostaining in these areas. Through the anti-VEGF antibody, we observed the presence of signal proteins that determined and stimulated the formation of neoformation vessels in the areas affected by the lack of post-infarction placental vascularization. We observed a highly significant difference between placental vascular density between TB∕PB and newborn weight, sex, or placental weight. CONCLUSIONS: Any direct proportional link between the clinical maternal-fetal and histological elements yet studied must be considered. Thus, establishing an antepartum risk group can prevent a poor pregnancy outcome.

Prediction of Preterm Birth with Serial Measurements of Ultrasound Markers.

To compare the ability of cervical length (CL), anterior cervical angle (ACA), and cervical consistency index (CCI) to predict premature birth. METHODS: This prospective study involved 85 pregnant women who gave birth prematurely and a control group of 31 pregnant women who gave birth at term. The study was performed in the Obstetrics and Gynecology Clinic of the Municipal Clinical Hospital Filanthropia Craiova between January 1, 2019, and January 1, 2022. Cases were examined using transvaginal ultrasonography (TVU) in the second and third trimesters of pregnancy, and cervical length (CL), Anterior Cervical Angle (ACA), and Cervical Consistency Index (CCI) were measured. RESULTS: The mean value from the three measurements at all three parameters was statistically significant with preterm birth (p<0.05). Cervical length <25mm, was highly significant in the prediction of preterm labor with a sensitivity of 99%, specificity of 61%, positive predictive value (PPV) of 78%, negative predictive value (NPV) of 97 %, and a positive likelihood ratio (LR+) of 2.54 and negative likelihood ratio (LR-) of 0.02. CCI also remains, despite low specificity and PPV values, a potential predictive parameter in the prediction of preterm birth, with a sensitivity of 73%, NPV of 92% and a LR+of 1.32 and LR- of 0.6 also correlated with CL, CCI being more difficult to interpret as an independent predictive parameter. CONCLUSIONS: CL remains the standard parameter for predicting the preterm birth, but in combination with other parameters, the prediction rate can increase significantly.

Maternal obesity and placental pathology in correlation with adverse pregnancy outcome.

Maternal obesity is associated with increased maternal and fetal morbidity and mortality, with an increased risk of gestational diabetes mellitus (GDM) and preeclampsia (PE). This prospective study histopathologically analyzes the placentas obtained from 34 pregnant obese women studied between October 2016 and May 2020. The 10 cases of term placentas from obese pregnancies with GDM and the 12 cases with PE were examined by the Hematoxylin-Eosin (HE), Masson's trichrome (MT) and Periodic Acid-Schiff-Hematoxylin (PAS-H) classical stainings, and by the immunohistochemical evaluation and compared to placentae from uncomplicated term obese pregnancies (12 cases). We did not meet placental histopathological (HP) abnormalities that we could classify as characteristic only for the state of obese pregnancy, but we did find placental changes associated with PE and GDM, in the context of obese pregnancy. In the case of association with PE, there were common lesions, manifested by intra- and perivillous fibrinoid deposition, calcification, and placental infarction area, to which were added numerous syncytial knots. In the case of obese pregnancy associated with GDM, we found, in addition to common placental lesions of obesity, intravillositary vascular edema and in the terminal villi appearing chorangiosis. This study revealed a number of HP changes that occur in maternal obesity, even in uncomplicated obese pregnancies. A characteristic of obese pregnancies associated with PE was the presence of numerous syncytial knots, and in obese pregnancies associated with GDM, the most common HP lesion was placental chorangiosis. Certainly, we cannot conclude that these HP lesions are specific to a particular pathology, but they belong primarily to the status of maternal obesity.

Remodeling of the aortic wall layers with ageing.

AIM: The authors aimed to evaluate the correlations between the variation of two of the main morphological parameters of the aortic wall (intima and media thicknesses) and ageing. MATERIALS AND METHODS: Aortic cross sections (base region, cross region, thoracic region, and abdominal region) were collected from 90 cases of all ages died and autopsied in the hospital. Tissue samples were processed using the classical histopathological technique (formalin fixation and paraffin embedding) and stained with Orcein and Goldner's trichrome. The obtained histological slides were transformed into virtual slides. Intima and media thicknesses were determined on virtual slides using a custom-made software, developed in MATLAB (MathWorks, USA). RESULTS AND DISCUSSIONS: The intima layer underwent an obvious and continuous process of thickening both from the aortic base region to its terminal (abdominal) region and from young ages to old age. The processes were similar in men and women but almost always more pronounced in men than in women. The media layer underwent a thickness reduction process from the aortic base to the terminal (abdominal) region whereas with age, the thickness of the layer increased. This divergent profile of evolution was similar in both men and women but with some variations depending on either topography or ageing. CONCLUSIONS: Each of the main layers of the aortic wall revealed dynamic individual evolutionary profiles related to age, gender and topography along the aortic path. Studies must be continued in a more detailed, standardized and integrated way.

Federated Learning Approach with Pre-Trained Deep Learning Models for COVID-19 Detection from Unsegmented CT images.

(1) Background: Coronavirus disease 2019 (COVID-19) is an infectious disease caused by SARS-CoV-2. Reverse transcription polymerase chain reaction (RT-PCR) remains the current gold standard for detecting SARS-CoV-2 infections in nasopharyngeal swabs. In Romania, the first reported patient to have contracted COVID-19 was officially declared on 26 February 2020. (2) Methods: This study proposes a federated learning approach with pre-trained deep learning models for COVID-19 detection. Three clients were locally deployed with their own dataset. The goal of the clients was to collaborate in order to obtain a global model without sharing samples from the dataset. The algorithm we developed was connected to our internal picture archiving and communication system and, after running backwards, it encountered chest CT changes suggestive for COVID-19 in a patient investigated in our medical imaging department on the 28 January 2020. (4) Conclusions: Based on our results, we recommend using an automated AI-assisted software in order to detect COVID-19 based on the lung imaging changes as an adjuvant diagnostic method to the current gold standard (RT-PCR) in order to greatly enhance the management of these patients and also limit the spread of the disease, not only to the general population but also to healthcare professionals.

Calcium and Phosphorus Deficiencies in Patients with Liver Cirrhosis.

Patients with cirrhosis often develop malnutrition and micronutrient deficiencies, leading to a worse prognosis and increased mortality. Our purpose was to assess the prevalence of micronutrient deficiencies especially calcium and phosphorus in patients with decompensated liver cirrhosis (LC). This was a retrospective study including 143 consecutive patients hospitalized for acute decompensation of cirrhosis, most of them with alcoholic etiology along with viral B or viral C and autoimmune induced cirrhosis. A blood test including minerals was performed on admission. Lower serum calcium levels were found in patients with a more severe forms of LC and also the ones diagnosed with viral and alcoholic LC rather than autoimmune induced LC. Peritoneal ascitic fluid was observed in 51 patients with hypocalcemia and only 24 patients with normal calcium levels had fluid accumulation. Low levels of phosphorus were noted in patients with a more severe form of LC (chi-square: 20.2504; p-value 0.000446). Ascitic fluid was found in patients with low values of phosphorus as well as in those with hypocalcemia (chi-square 5.235; p-value 0.022137). In conclusion, this study confirmed that patients with advanced liver disease had lower values of calcium and phosphorus and a more severe form of LC can be associated with hypocalcemia and hypophosphatemia.

The Ability of Doppler Uterine Artery Ultrasound to Predict Premature Birth.

OBJECTIVE: Demonstration of the predictive capacity of Doppler Uterine Artery (UtA) on preterm birth (PB) by serial measurement at various ages of pregnancy. METHODS: The prospective study included a group of 116 pregnant women, of whom 85 gave birth prematurely and 31 pregnant women gave birth at term, constituting the control group. UtA Doppler measurement was performed by the abdominal approach. Quantitative wave evaluations were performed by the pulsatility index (PI), the systole/diastole ratio (S/D), as well as the qualitative analysis of the flow rate waveform (notch). UtA Doppler evaluation was performed in 3 pregnancy periods: 18.0-22.6 weeks, 28.0-31.6 weeks, and 32.0-35.6 weeks. RESULTS: Only at the third examination, at 32.0-35.5 weeks of gestation, was there a statistically significant difference between the S/D-UtA ratio and PI-UtA correlated with the risk of premature birth (p<0.05). Although there was an association between UtA Doppler and late preterm birth, the predictive ability was low. Also, UtA Doppler was not statistically significant for preterm birth before 32 weeks of gestation. CONCLUSIONS: Although we did not find a statistical association between second-trimester UtA Doppler and preterm birth, we do suggest a closer look at women with abnormal UtA Doppler in the second trimester. We believe that, according to the results obtained, UtA Doppler can predict especially iatrogenic premature birth depending on the prediction of the most severe complications, severe preeclampsia, and SGA.

Maternal Lipid Profile as Predictor for Mother and Fetus Outcome-an Artificial Neural Network Approach.

PURPOSE: The study aims to predict mother and fetus outcome based on the mother's lipid profile in the second and third trimester of pregnancy. MATERIAL AND METHOD: Blood and urinary samples were taken from 135 mothers that were prospectively monitored during the hole pregnancy. Total cholesterol (TC), triglycerides (TG), low-density lipoprotein-cholesterol (LDL-C), high-density lipoprotein-cholesterol (HDL-C), together with other parameters, were used as predictors in a multilayer perceptron (MLP) artificial neural network (ANN). Small for gestational age (SGA) was used to assess the fetal outcome, while Gestational diabetes mellitus (GDM) and, Hypertensive disorders in pregnancy (HDP) to assess the mother's outcome. RESULTS: SGA prediction rate was 0.637±0.022 for the second trimester and 0.632±0.017 for the third trimester. GDM prediction rate was 0.897±0.006 for the second trimester and 0.632±0.017 for the third trimester. HDP prediction rate was 0.620±0.046 for the second trimester and 0.775±0.030 for the third trimester. When used with other parameters (hemoglobin, thrombocytes, uric acid, GOT, GPT, the presence of proteinuria, urea, and creatinine) the prediction rates raised, going over 90% for the GDM. CONCLUSIONS: Though individual lipid parameters do not statistically correlate with the output variables the use of ANN generated prediction rates raging from 60% to 90%. The lipid profile from the third trimesters seems to be a better prediction for both fetus and mother outcome.

Imaging Features of Rare Breast Lesions in Young Women.

Rare breast tumors, such as, pseudoangiomatous stromal hyperplasia, granulomatous mastitis, tubular adenoma, myofibroblastoma and xanthogranulomatous mastitis, sarcomas, neuroendocrine tumors can sometimes be misdiagnosed because of the similarities in their imagistic characteristics. The main objective of our report is to emphasize the importance of performing ultrasound-guided breast biopsies of suspect lesions in young patients. We performed an US-guided breast biopsy instead of an excisional biopsy because breast surgery has a huge psychological impact. We selected 3 atypical breast tumors in young women, with different clinical signs and symptoms, some of which similar to other breast lesions, but with rapid growth, which needed a different and multiple imaging approach.

Assessment of the aortic wall histological changes with ageing.

AIM: The authors aimed to quantitatively assess the variation with age of three of the main components of the aortic wall, namely elastic fibers (FE) and collagen fibers [FC(COL)], and smooth muscle cells (SMCs). MATERIALS AND METHODS: Four aortic cross sections (base, cross, thoracic, abdominal) were collected during autopsy from 90 cases of all ages, processed using the classical histopathological (HP) technique (formalin fixation and paraffin embedding) and stained with Orcein and Goldner's trichrome. The obtained histological slides were transformed into virtual slides. Quantitative measurements of the three components were made on identical regions of interest (ROIs) selected from two-paired slides stained with the above-mentioned techniques using custom-made software, developed in MATLAB (MathWorks, USA). RESULTS AND DISCUSSIONS: FE revealed an obvious decreasing general trend with age, present at all four levels of investigation. Smooth muscle fibers (FM) density showed almost no variation with age regardless of the level at which the measurement was made. FC(COL) density had an obvious increasing trend with age, expressed in all four aortic regions FE densities and FM densities were higher in men than in women, while FC(COL) densities were higher in women than in men in three of the aortic regions excepting, in all cases, the cross region. CONCLUSIONS: There were differences between men and women concerning the composition of aortic wall cellular and extracellular compartments. FE and FC(COL) dominated the age-related remodeling process of the aortic wall. The process evolved in the same way in all regions of the aorta. Studies need to be continued to define more clearly this complex process of vascular wall remodeling with aging.

Virtual autopsy and confirmation of normal fetal heart anatomy in the first trimester using three-dimensional (3D) reconstruction of histological sections.

OBJECTIVE: In this pilot study, we tested the feasibility of cardiac structures reconstruction from histological sections in 12-13 weeks normal fetuses. Conventional autopsy is hampered at this gestational age because of the small size of the heart anatomical structures, while alternative non-invasive methods for pathology examination of the fetus are expensive, rarely available and lack accuracy data regarding the confirmation of first trimester heart defects suspected by early prenatal ultrasound (US) scans. MATERIALS AND METHODS: Normal hearts from fetuses aged 12-13 gestational weeks (GW) were harvested for histological preparation, virtual reconstruction, and cardiac structures analysis. The normalcy of heart structures was confirmed before pregnancy termination, using a detailed US scan protocol. The fetal heart was routinely processed for formalin fixation and paraffin embedding (FFPE) and 10 µm seriate sections have been cut until finishing the specimen. All sections have been scanned and a three-dimensional (3D) reconstruction of the whole organ has been rendered, based on computer-aided manual tracing. Using the 3D navigation software, the main cardiac structures were searched for a proper and confident visualization. RESULTS: Five cases were investigated. Visualization of the normal heart cavities, including atrioventricular septum was very good in all fetuses. The entire course of right and left ventricle outflow tracts was confidently confirmed, along the branching pattern of aorta and pulmonary artery trunk. Regarding the veno-atrial connections, it was easy to identify the entrance of the inferior and superior caval veins into the right atrium, but a detailed review of the histological sections was necessary for the visualization of the left atrium venous openings. The inherent morphological deformation following heart block sectioning resulted in a lower resolution or quality of the "reconstructed" planes, but these distortions did not represent a significant impediment in any of the cases. The resources involved ordinary histology and information technology (IT) equipment. To further decrease the time involved by the protocol, many steps may be automated: cutting, coloring, and scanning. CONCLUSIONS: The results indicate that this method can be implemented to routine clinical practice. The use of 3D reconstruction of fetal heart histological sections in first trimester may serve as an important audit to confirm the normalcy of heart structures. Also, the histological and postprocessed information is retained, and this volume can be stored, reanalyzed, or sent online for a second opinion. The method involves relatively undemanding resources, i.e., hardware, software, competences, and time. The procedure could also benefit from refinements used in other imaging techniques to limit human-computer interactions, such as sections distortion.

Doppler Uterine Artery Ultrasound in the Second Trimester of Pregnancy to Predict Adverse Pregnancy Outcomes.

PURPOSE: To determine in uterine artery (UtA) the mean pulsatility index (PI), systolic/diastolic (S/D) ratio and the presence/absence of notch in the second trimester of pregnancy, with normal or abnormal pregnancy outcome. MATERIAL AND METHODS: We performed an analysis of 135 cases with high risk pregnancy in Obstetrics and Gynecology Department of The Municipal Hospital Filantropia, Craiova, between October 2016 and May 2020. The ultrasound evaluation in the second trimester was performed during the second trimester morphology scan, or after this, but up to 24 weeks of pregnancy. RESULTS: The study showed only in the case of early preeclampsia (PE) a statistical significance for mean PI-UtA percentiles in the second trimester. In the other studied categories of pregnancy outcome, even we did not have a statistical significance, we found a specificity of 75% and positive predictive value of 88.89% in late PE. The presence of notch in the second trimester was statistically significant (p value <0.05) in the case of premature birth (PB) and early PE. A positive predictive value of 77.50% we found only in case of late PE. CONCLUSIONS: Our results show that routine Doppler screening of the uterine arteries during the second trimester did not make an accurate prediction of fetal growth restriction, preeclampsia or preterm birth. However, we believe that the present study results prove that this screening may select a population with increased risk of adverse outcome, which would give them the opportunity to benefit from an early intervention.