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In 1992, a patient, born July 10, 1910, aged 82, with major osteoporosis [1-3], was operated on her left hip. The surgeon performs a biomaterial transplant using natural coral [4]. Follow-up is two years. She died in 1994 of acute respiratory failure. Three bone graft osteodensitometry [5] shows a regular increase in mineralization; however, on the opposite side, bone mineralization decreases. The anatomical part is examined using x-rays, scanners, photographs, histology [6]. The article reports the findings of this study. It is noted a partial resorption of the biomaterial essentially at the periphery of the graft as well as the different local connections of the preexisting bone with the newly formed bone from the grafted area. The severity of fractures of the femoral neck is no longer to be demonstrated [7]. Multiple therapeutic trials have demonstrated their effectiveness [8,9]. Twenty two patients were transplanted. There was no failure. All died without fracturing their grafted hips. 

Throughout global efforts to defend against the spread of COVID-19 from late 2019 up until now, one of the most crucial factors that has helped combat the pandemic is the development of various screening methods to detect the presence of COVID-19 as conveniently and accurately as possible. One of such methods is the utilization of chest X-Rays (CXRs) to detect anomalies that are concurrent with a patient infected with COVID-19. While yielding results much faster than the traditional RT-PCR test, CXRs tend to be less accurate. Realizing this issue, in our research, we investigated the applications of computer vision in order to better detect COVID-19 from CXRs. Coupled with an extensive image database of CXRs of healthy patients, patients with non-COVID-19 induced pneumonia, and patients positive with COVID-19, convolutional neural networks (CNNs) prove to possess the ability to easily and accurately identify whether or not a patient is infected with COVID-19 in a matter of seconds. Borrowing and adjusting the architectures of three well-tested CNNs: VGG-16, ResNet50, and MobileNetV2, we performed transfer learning and trained three of our own models, then compared and contrasted their differing precisions, accuracies, and efficiencies in correctly labeling patients with and without COVID-19. In the end, all of our models were able to accurately categorize at least 94% of the CXRs, with some performing better than the others; these differences in performance were largely due to the contrasting architectures each of our models borrowed from the three respective CNNs.

Aim of the study: Conduct long-term monitoring of recovered patients with pulmonary TB and study the frequency of relapses of pulmonary TB and factors contributing to their development in the Republic of Tajikistan.Material and research methods: Of the total number of patients with pulmonary TB, 820 people in 2010-2011 after successful treatment, were transferred for further dispensary observation to PHC facilities, whose health status we monitored for 10 years (including 2020). Of the 820 patients, we were able to track the health status for 10 years in 622 patients (320 men and 302 women, age groups 19-44 years old - 330 people and 45-69 years old - 292 people). The rest - for various reasons were lost from further dispensary observation. All patients in PHC facilities annually during the period of dispensary observation underwent clinical, instrumental, laboratory, and X-ray examinations to exclude the recurrence of TB. Data for each patient were tracked using the National TB Registry OpenMRS data.Research results: The elimination of preventive anti-relapse measures in people with residual post-tuberculosis changes in the lungs led to an increase in the number of relapses of the disease. The analysis of the conducted studies shows that the incidence of relapses of pulmonary TB does not depend on the regions and the severity of TB burden, they often develop with insufficient follow-up after the end of treatment and inadequate preventive measures in dispensaries patients.The study of the reasons for the development of relapses makes it possible to timely identify a group of patients who need anti-relapse measures and prolongation of dispensary observation.Conclusion: Thus, the results of this observation revealed the occurrence of relapses within 10 years in 19.3% of cases. A retrospective analysis of the initial forms of the disease showed that relapses of pulmonary tuberculosis occurred more often in patients who had had fibrous-cavernous pulmonary tuberculosis, than in patients who had disseminated pulmonary TB, and less often after suffering infiltrative pulmonary TB. Relapses of the disease occurred more often in men aged 19-44 years. The results obtained indicate the development of relapses of pulmonary tuberculosis has a statistically significant dependence on the form of the initial disease, the presence of RPTCL, comorbid diseases such as HIV, diabetes mellitus, COPD, and the regularity of taking anti-TB drugs. At the same time, it turned out that the social status of all patients with relapses corresponds to the level of poverty, which should also be taken into account.

Objective: To evaluate the effects on quality of life and body composition of a Ketogenic Diet (KD) in a woman with Charcot-Marie-Tooth (CMT) disease. Methods: Physical (PCS) and mental (MCS) health conditions were evaluated with the SF-36 questionnaire; dual-energy x-ray absorptiometry was used to determine body composition; parameters were determined at baseline and after 12 weeks of KD.Results: At baseline PCS and MCS were 20.6 and 20.7 respectively with 37.9% fat mass. After 12 weeks SF-36 values significantly improved: PCS 55 and MCS 66.1 with 33.9% fat mass. Conclusion: KD improved the patient’s quality of life and decreased fat mass. Further studies will be needed to better elucidate the beneficial effects of KD among people with CMT.

Congenital cystic adenomatoid malformation of the lung (CCAM) is characterized by an adenomatoid proliferation of bronchiole-like structures and cysts formation. The condition is most commonly found in newborns and children and may be associated with other malformations; rarely, the presentation is delayed until adulthood. We herein report two cases of CCAM in adult patients. 22 years old healthy female with pre-employment health screening chest x-Ray showed a lesion in the upper lobe of the right lung. In another case, a computed tomographic scan of the thorax (CT) confirmed a mass in the upper right lung. A 28-year-old male presented with recurrent respiratory tract infection resistant to antimicrobial therapy. CT scan of the thorax showed a mass in the left lung upper zone. Surgical resection was performed in both cases, and histopathology of the resected specimen showed both cases were consistent with the CCAM.

Pulmonary edema is a rare but potentially life-threatening iatrogenic complication after treatment through therapeutic thoracentesis of a collapsed lung due to a hydro- or pneumo-thorax. We present a case of a 25-years male, without any pathological antecedents, who went to our emergency services with dyspnoea, tachypnea, and hypoxemia. The final diagnosis made after a clinical examination and chest X-ray showed a complete collapse of the right lung due to spontaneous pneumothorax [1-3] (Figure 1).

The review article examines the production of molecular hydrogen from the decomposition of water by various irradiation methods. The article shows different types of radiation: UV radiation, visible radiation, gamma radiation, X-ray radiation and neutron radiation. Electrons generated by radiation inside a nanoparticle of radius R suspense in fluid water are diffused with equal probability in all directions inside the particle and gradually lose their kinetic energy as a result of elastic and inelastic collisions. Some of these electrons are transported to the nanoparticle surface during the physical and physicochemical stages of the process and emitted into the water. It is extremely important for the formation of nanostructured materials after exposure to ordered nanostructure from the new phase with a period of a few nanometers, promoting the preservation of the properties of materials under high irradiation.

Coronavirus disease (COVID-19) is a viral pneumonia that is found in China and has spread globally. Early diagnosis is important for effective and timely treatment. Thus, many ongoing studies attempt to solve key COVID-19 problems such as workload classification, detection, and differentiation from other pneumonia and healthy lungs using different imaging modalities. Researchers have identified some limitations in the deployment of deep learning methods to detect COVID-19, but there are still unmet challenges to be addressed. The use of binary classifiers or building classifiers based on only a few classes is some of the limitations that most of the existing research on the COVID-19 classification problem suffers from. Additionally, most prior studies have focused on model or ensemble models that depend on a flat single-feature imaging modality without using any clinical information or benefiting from the hierarchical structure of pneumonia, which leads to clinical challenges, and evaluated their systems using a small public dataset. Additionally, reliance on diagnostic processes based on CT as the main imaging modality, ignoring chest X-rays. Radiologists, computer scientists, and physicians all need to come to an understanding of these interdisciplinary issues. This article first highlights the challenges of deep learning deployment for COVID-19 detection using a literature review and document analysis. Second, it provides six key recommendations that could assist future researchers in this field in improving the diagnostic process for COVID-19. However, there is a need for a collective effort from all of them to consider the provided recommendations to effectively solve these issues.

Background and aim: Cirrhosis leads to sarcopenia and to life-threatening complications in decompensated stages. The objective of this study is to show the impact of the loss of muscle mass and function on hepatic decompensations. Methods: Our study compares a group of cirrhotic patients with controls matched with the same sex and age. A questionnaire was created to collect demographic, anthropometric, and cirrhosis characteristics. Several CT scan sections were analyzed and the average measurements have been grouped into tertiles to estimate the impact on cirrhotic complications.Results: Our study included 33 controls and 33 cirrhotic patients of which 59.4% had NASH. Anthropometric characteristics were similar in cirrhotics men and women. Grip strength was significantly lower in cirrhotic men. Using the skeletal muscle index we found 39.39% of cirrhotic patients were sarcopenic mostly men 84.61%. In Cirrhotic men, the density of the psoas and paravertebral muscles was lower than in controls. In women psoas and paravertebral muscle areas were comparable and the total muscle surface in cirrhotic patients was higher. There was a negative correlation between this surface and the density of the psoas (r = -0.293 p = 0.017) indicating the presence of myosteatosis in women. Analysing tertile groups showed a significantly higher incidence of complications related to liver disease and liver failure in patients with the psoas and paravertebral muscle density in the lowest tertile and in the frail population according to the frailty index.Conclusion: Cirrhotic patients have myosteatosis and sarcopenia associated with a higher incidence of complications related to hepatic failure.

This study delves into the forensic examination of textile fibers for identification through the application of the X-ray diffraction (XRD) technique. With the textile industry producing an array of materials, both natural and man-made fibers, the need to distinguish between them for forensic purposes becomes paramount. The primary objective of this research is to identify unique characteristics in fiber samples, differentiating between branded and non-branded company textiles. The focus is placed on fresh, unused cloth fibers obtained directly from shops. The study encompasses two broad categories of fibers: natural (such as cotton, silk, and wool) and man-made (including nylon, rayon, and polyester). Samples from both branded and non-branded textiles undergo analysis using XRD, a sophisticated method capable of revealing the crystallographic structure of materials. Results obtained from the XRD analysis unveil intensity peaks at various levels and degrees, providing distinctive patterns for individualization. Even within the same fiber category, such as polyester and cotton, discernible differences in intensity peaks facilitate the identification process. This research contributes to the advancement of forensic techniques by offering a reliable means of identifying textile fibers. The utilization of XRD not only allows for the differentiation between natural and man-made fibers but also enables discrimination among textiles produced by different companies. The implications of this study extend to forensic investigations, where the ability to precisely identify fibers can provide valuable evidence in criminal cases involving textiles.

This research focused on assessing the levels of selected metal contamination in seven different rice brands (Jasmine, Basmati, Mapembe, Morogoro, Shinyanga, Mbeya, and Cheju). Cheju rice was obtained from local producers from the Cheju area in Zanzibar, while the remaining rice brands namely, Jasmine, Basmati, Mapembe, Morogoro, Shinyanga, and Mbeya were randomly taken from local markets at Darajani and Mwanakwerekwe in Zanzibar. Samples were prepared in accordance with applicable Safe Operating Procedures (SOPs) and laboratory SOPs using information provided by field sample preparation. The samples were ground to fineness and an aliquot of about 10.0 g was measured on the beam balance and mounted on the sample holders for laboratory analysis. An Energy Dispersive X-Ray Fluorescence (EDXRF) technique with a Rigaku NEX CG EDXRF model spectrometer was used for metal analysis. The study revealed that the percentage of metal contamination varied considerably from one rice brand to another, with Basmati and Jasmine rice each exhibiting a contamination level of 50%, while Shinyanga, Mbeya, Mapembe, and Cheju rice showed a level of 25% each. Notably, Morogoro rice had no observable heavy metal contamination. Additionally, a significant positive correlation was observed between several metal pairs: Au and Cr (r² = 1.00), Au and Ti (r² = 0.613), Cr and Ti (r² = 0.613), Ni and Pb (r² = 0.748), Ni and Hf (r² = 0.660), Pb and Hf (r² = 0.656), and Ti and Sn (r² = 0.671). The individual occurrence (percentage) for metals across all rice brands were as follows: 71.42% for Sn, and 28.57% for Hf, Ni, Pb, and Ti, while traces of Au, Cr, and Y each had an occurrence level of 14.28%. While Morogoro rice showed no metal discernible analyzed heavy metal contamination, the other rice brands were observed to have a considerable heavy metal contamination trend. The patterns of metal occurrence in each rice brand were observed as follows: Basmati: Sn > Ti > Au > Cr; Jasmine: Sn > Hf > Ni > Pb; Shinyanga: Sn > Pb; Mbeya: Sn > Hf; Mapembe: Sn > Ti; Cheju: Ni > Y. The patterns, then yield the ranking of metal contamination across all seven rice brands from lowest to highest is as follows: Morogoro < (Mapembe, Cheju, Mbeya, Shinyanga) < (Jasmine, Basmati). Furthermore, the data analysis indicated that the concentrations of Cr (1.08 mg/Kg), Ni (4.65 mg/Kg), and Pb (3.05 mg/Kg) detected in the samples surpassed the maximum permissible limits established by WHO/FAO which were 1.0 mg/Kg, 0.10 mg/Kg and 0.20 mg/Kg respectively. Consequently, the study concludes that Morogoro rice is the most superior and considered the safest choice for consumption, while Jasmine and Basmati rice are associated with higher levels of metal contamination. Thus, it is highly recommended that Tanzania intensify its rice cultivation efforts to reduce reliance on rice imports from other nations.

Pneumomediastinum (mediastinal emphysema) is an uncommon condition characterized by the accumulation of air or gas in the mediastinum. Here is a case of a 16-year-old female known to have depression who presented to the emergency department with complaints of shortness of breath, restlessness, chest discomfort, and hoarseness of voice for 2 days. She was initially diagnosed with panic attack, and later on clinical examination, surgical emphysema over the right supraclavicular area was noticed. Chest X-ray was found to be normal, and further imaging with high-resolution computed tomography (HRCT) of the thorax showed pneumomediastinum. In this report, the clinical presentations, radiological features, and management of pneumomediastinum will be discussed.

The article presents data from recent publications and own data on screening studies with interpretation of chest radiographs using artificial intelligence CAD (Computer-Assisted Diagnosis), which, according to WHO recommendations, provides more accurate clinical thresholds for deciding who needs to take a sputum test. Another aspect of the WHO recommendations is the cost-effectiveness of CAD as a tool for triaging patients with tuberculosis symptoms in low-income countries with a high incidence of tuberculosis. Compared with smear microscopy and GeneXpert, without preliminary sorting, the use of mobile digital X-ray machines equipped with a CAD tool reduces costs, allowing sorting of individuals suspected of having tuberculosis for testing on GeneXpert, while reducing the time to start tuberculosis treatment.Thus, conducting a study using portable X-ray machines using a CAD program is a low-cost and easy-to-implement method, does not require large funds, does not require separate rooms, is highly effective, has good image quality, allows you to quickly clarify individuals suspected of having tuberculosis, differentiating it from other pathological changes in the lungs.Our experience shows that machine analysis of chest computed tomography data, due to the higher resolution capabilities of the method and the absence of fundamental disadvantages of radiography, including the effect of shadow summation, the presence of “blind” zones, etc., is finding increasing application in both diagnostics and screening of respiratory diseases. Our use of this tool allowed us to identify additional new cases of phthisio-onco-pulmonary diseases in field conditions.

Background and importance: Sacral fractures often lead to injuries of the lumbosacral nerve, which will cause tremendous damage to the patient’s motor and sensory functions. At present, the most commonly used surgical method is the posterior median approach, the extent and degree of neurolysis are often insufficient, so the effect of neurolysis is not well, and the functional recovery of patients after operation is often incomplete.Clinical presentation: The patient was a 17-year-old male who accidentally fell from a height and landed on his hip. The main clinical feature of the patient was persistent radiating pain in the right lower extremity with right lower limb sensorimotor disorder. The results of the X-ray examination indicated a sacral fracture and a right pubic fracture. After the injury, the patient underwent pelvic internal fixation surgery within 72 hours. Then 6 months after the surgery, there was no significant improvement in right lower limb function, and the patient came to our hospital seeking treatment. Considering the severe lumbosacral plexus injury and the history of surgery, we performed an “Anterior surgery approach combined with posterior approach for lumbosacral neurolysis” for the patient, postoperative radiation pain disappeared completely, and there were significant improvements in the muscle strength of some muscles and sensory function.Conclusion: The relaxation of the lumbosacral plexus is usually performed through a single surgical approach, which has great limitations in the effect of relaxation. Here, we demonstrate a case in which posterior lumbar incision and anterior laparoscopic lumbosacral plexus neurolysis can benefit the patient, the lumbosacral nerve was released to a great extent. We aim to bring this case to the attention of our worldwide neurosurgical colleagues and share our surgical approach to assist those who may encounter this case in the future.

Pulmonary Embolism (PE) can present with symptoms resembling pneumonia, creating a diagnostic challenge, particularly in patients with comorbidities. We report the case of a 67-year-old male who presented with cough, hemoptysis, shortness of breath, fever, and pedal edema. Initially diagnosed with consolidation based on chest X-ray findings, he was treated with antibiotics. However, persistent symptoms prompted further evaluation, leading to the diagnosis of PE with pulmonary infarction and deep vein thrombosis on computed tomography pulmonary angiography and Doppler ultrasound. This case highlights the need to consider PE in the differential diagnosis of consolidation, particularly in high-risk individuals, to avoid delays in appropriate management.

Pachydermoperiostosis, also known as Primary Hypertrophic Osteoarthropathy (PHO), is a rare genetic disorder. The three main features are: enlarged fingertips (clubbing), thickened facial skin (pachydermia), and excessive sweating (hyperhidrosis). PHO is characterized by problems with skin and bone growth. Patients with PHO usually have coarse facial features with oily, thick, grooved skin on the face, joint pain, enlarged fingertips and toes, and hyperhidrosis of the hands and feet. Symptoms vary individually; however, men generally present with more severe manifestations. X-rays can help check for features that are not noticeable to the naked eye. There are two genes that are associated with PHO: the HPGD gene, located on the long arm of chromosome 4 at 4q34.1, and the SLCO2A1 gene, located on the long arm of chromosome 3 at 3q22.1 - q22.2. Mutations in the HPGD gene are inherited in an autosomal recessive manner, and the condition is sometimes abbreviated as PHOAR1 or Touraine-Solente-Gole syndrome.

Introduction: Pleomorphic Carcinoma (PC) is a subset of poorly differentiated non–small cell lung cancer that is diagnostically challenging because it is a rare malignancy of the lung. It shows varying dual-cell components; spindle or giant cells and epithelial cells.Method: We report a case of 68-year-old non-smoking female who presented with cough, fever, pain in the left side of chest & weight loss of recent onset and an abnormal shadow on her chest X-ray. Computed tomography of chest revealed a well defined heterogeneously enhancing cavitatory soft tissue lesion in the posterior basal segment of the left lower lobe with mediastinal lymphadenopathy.Results: Fine needle aspiration cytology& percutaneous lung biopsy confirmed poorly differentiated malignant tumor. Patient underwent a left lower lobectomy. A diagnosis of PC was confirmed after Immunohistochemistry (IHC). Mutation analysis revealed an EGFR exon 21 mutation within the tumor cells. The patient is on Gefitinib based chemotherapy and has remained disease-free for three years post-surgery.Conclusion: PC of the lung is a rare pathological entity. Definite diagnosis may only be made on a resected tumor along with the use of IHC. Surgical resection is the main modality of the treatment. Such rare cases should be documented to establish an optimal management plan and to provide a further insight to targeted therapy.