Prompt Diagnosis Research Articles

Endovascular Repair of Ruptured Aortic Aneurysm: A Single-Center Experience.

Aortic rupture is a rare and catastrophic emergency. Prompt diagnosis and treatment are the primary determinants of mortality. During follow-up, the majority of patients who have been effectively treated die from hypovolemic shock and multiorgan failure. This article describes the clinical and procedural details of sixteen patients with ruptured aortic aneurysms treated endovascularly. In addition, it discusses the main factors contributing to the mortality of these patients. Patients who underwent endovascular treatment for acute aortic rupture at our center from October 2016 to March 2023 were included in this retrospective study. A total of 16 patients underwent endovascular aneurysm repair (EVAR) or thoracic endovascular aneurysm repair (TEVAR) for acute aortic rupture. The patients' mean age was 73.06 years (range: 52-92), and 15 of them were male. The ruptures occurred in the abdominal aortic aneurysm in ten patients, in thoracic aortic aneurysm in three patients, in the isolated iliac artery aneurysm in two patients, and there was one case of non-aneurysmal aortic rupture. In our series, patients who presented with an impending, self-limited rupture and stable hemodynamic status had good prognostic outcomes. However, eight patients died due to multiorgan failure, hemorrhagic shock, disseminated intravascular coagulopathy, renal failure, or abdominal compartment syndrome. These patients generally had poor admission vital signs and low hemoglobin values. The most critical determinants for the success of the procedure are promptly stopping the bleeding, avoiding general anesthesia, and opting for blood product replacement instead of fluid replacement. Each patient with ruptured aortic aneurysm should be managed according to the patient's hemodynamics at presentation, the size of the aneurysm, the suitability for percutaneous procedure, logistical factors, and the operator-center's experience.

Screening for urothelial carcinoma cells in urine based on digital holographic flow cytometry through machine learning and deep learning methods.

The incidence of urothelial carcinoma continues to rise annually, particularly among the elderly. Prompt diagnosis and treatment can significantly enhance patient survival and quality of life. Urine cytology remains a widely-used early screening method for urothelial carcinoma, but it still has limitations including sensitivity, labor-intensive procedures, and elevated cost. In recent developments, microfluidic chip technology offers an effective and efficient approach for clinical urine specimen analysis. Digital holographic microscopy, a form of quantitative phase imaging technology, captures extensive data on the refractive index and thickness of cells. The combination of microfluidic chips and digital holographic microscopy facilitates high-throughput imaging of live cells without staining. In this study, digital holographic flow cytometry was employed to rapidly capture images of diverse cell types present in urine and to reconstruct high-precision quantitative phase images for each cell type. Then, various machine learning algorithms and deep learning models were applied to categorize these cell images, and remarkable accuracy in cancer cell identification was achieved. This research suggests that the integration of digital holographic flow cytometry with artificial intelligence algorithms offers a promising, precise, and convenient approach for early screening of urothelial carcinoma.

Automated Cough Sound Analysis for Detecting Childhood Pneumonia.

Pneumonia is one of the leading causes of death in children. Prompt diagnosis and treatment can help prevent these deaths, particularly in resource poor regions where deaths due to pneumonia are highest. Clinical symptom-based screening of childhood pneumonia yields excessive false positives, highlighting the necessity for additional rapid diagnostic tests. Cough is a prevalent symptom of acute respiratory illnesses and the sound of a cough can indicate the underlying pathological changes resulting from respiratory infections. In this study, we propose a fully automated approach to evaluate cough sounds to distinguish pneumonia from other acute respiratory diseases in children. The proposed method involves cough sound denoising, cough sound segmentation, and cough sound classification. The denoising algorithm utilizes multi-conditional spectral mapping with a multilayer perceptron network while the segmentation algorithm detects cough sounds directly from the denoised audio waveform. From the segmented cough signal, we extract various handcrafted features and feature embeddings from a pretrained deep learning network. A multilayer perceptron is trained on the combined feature set for detecting pneumonia. The method we propose is evaluated using a dataset comprising cough sounds from 173 children diagnosed with either pneumonia or other acute respiratory diseases. On average, the denoising algorithm improved the signal-to-noise ratio by 44%. Furthermore, a sensitivity and specificity of 91% and 86%, respectively, is achieved in cough segmentation and 82% and 71%, respectively, in detecting childhood pneumonia using cough sounds alone. This demonstrates its potential as a rapid diagnostic tool, such as using smartphone technology.

Severe dry eye due to isolated bilateral lacrimal gland agenesis in a child. A challenging case report and review of the literature

We present a challenging case of severe dry eye secondary to alacrimia due to bilateral lacrimal gland agenesis (LGA) in a child and its successful treatment. A 7-year-old girl presented with symptoms and findings of severe dry eye and keratitis. Systemic associations were excluded, and orbit imaging demonstrated bilateral LGA. Treatment with punctal occlusion, blood-derived and preservative-free eye drops, and PROSE® system/scleral contact lens proved an excellent clinical result. Lacrimal gland hypoplasia is a rare cause of severe dry eye in children. Prompt diagnosis and integral treatment are crucial to reverse ocular surface damage and allow patients to return to their daily activities.

The Great Mimicker: Secondary Syphilis-Associated Nephrotic Syndrome in an Adolescent Patient

BackgroundSyphilis is long regarded as the “great mimicker” for its variety of symptoms and clinical manifestations. Rarely, it can present with renal involvement, particularly nephrotic syndrome. This is an uncommon initial presentation, particularly in pediatrics. Case ReportWe present the case of a 17-year-old male adolescent who presented to the emergency department with a chief symptom of abdominal pain. In addition, he was found to have a number of stigmata characteristic of both syphilis and nephrotic syndrome, including a rash and diffuse edema, particularly in the lower extremities. This led to the diagnosis of nephrotic syndrome secondary to syphilis infection. Prompt diagnosis and treatment of syphilis resulted in resolution of both kidney injury and symptoms of the underlying infection. Why Should an Emergency Physician Be Aware of This?This case highlights the variety of manifestations of sexually transmitted infections, particularly in the pediatric population. It demonstrates how identifying syphilis as the inciting event led to the correct treatment management for the patient. This presentation serves to teach and remind emergency physicians of the wide-ranging presentations for sexually transmitted infections, particularly syphilis, and the necessity of obtaining a sexual history even in adolescent patients.

The role of infectious parameters in the early prediction of complicated colonic diverticulitis.

Acute colonic diverticulitis has recently become a significant cause of hospital admissions. Complicated colonic diverticulitis, a severe form of the disease, necessitates medical and surgical intervention. Prompt diagnosis in these patients is crucial. This study aims to assess the role of infectious parameters in the early diagnosis of complicated colonic diverticulitis. This retrospective study analyzed 82 adult patients diagnosed with acute diverticulitis. Recorded data included patient demographics, hospital stay duration, disease location, and surgical procedures. Infectious parameters such as white blood cell count (WBC), C-reactive protein (CRP), neutrophil/lymphocyte ratio (NLR), percentage of immature granulocytes (IG%), and systemic immune-inflammatory index (SII) were calculated and noted. Patients underwent abdominal computed tomography upon admission, and based on these results, they were categorized into uncomplicated or complicated diverticulitis groups. Statistical analysis was performed to identify differences between these groups. CRP, NLR, and SII were significantly more predictive of complicated acute colonic diverticulitis. However, no statistical differences in WBC and IG% values were observed between the groups. The study found that the percentage of immature granulocytes, previously deemed a reliable marker in many studies, did not significantly predict complicated colonic diverticulitis. Further comprehensive studies are necessary to explore inflammatory markers in colonic diverticulitis more thoroughly.

Dilated cardiomyopathy in patients with hypoparathyroidism: A narrative review.

Hypoparathyroidism is a rare endocrine disorder characterized by low blood calcium levels, elevated phosphorus levels, and insufficient parathyroid hormone production. It can lead to dilated cardiomyopathy (DCM), a cardiac condition characterized by enlarged ventricles and reduced heart function. This review aims to explore the relationship between hypoparathyroidism and DCM, the impact of calcium on cardiac function, and the potential for DCM reversal with calcium supplementation. A comprehensive literature search was conducted using PubMed, Google Scholar, and relevant keywords and Mesh terms. Case reports evaluating dilated cardiomyopathy in patients with Hypoparathyroidism were included in the study. Additionally, references cited in each study were carefully examined to identify relevant reports. The cases included in the review were analyzed, and common cardiac manifestations, diagnostic approaches, and management were identified. DCM in hypoparathyroidism presents with symptoms of heart failure, reduced ejection fraction, and impaired left ventricular function. Laboratory tests show low serum calcium levels and elevated phosphate levels. Prompt diagnosis and treatment with calcium and vitamin D supplementation can lead to improvements in cardiac function. Hypoparathyroidism-induced DCM is reversible with timely calcium and vitamin D supplementation. Patient compliance with prescribed medications and supplements is crucial to prevent and manage cardiac complications. Regular follow-up check-ups and monitoring of calcium levels can aid in early detection and improve patient outcomes. Educating patients about the importance of treatment adherence can significantly reduce the risk of developing DCM and other cardiac symptoms associated with hypoparathyroidism. Routine follow-up of DCM among patients with endocrine disorders is recommended.

Coronary No-Reflow after Primary Percutaneous Coronary Intervention

Coronary no-reflow is a significant complication following primary percutaneous coronary intervention (PCI) in patients with acute myocardial infarction. This phenomenon involves inadequate myocardial perfusion despite successful vessel recanalization, attributed to factors such as microvascular injury, inflammation, thrombus embolization, and vasospasm. Effective management strategies include pharmacological agents, mechanical interventions, and optimized antithrombotic therapy. Prompt diagnosis and treatment are essential to enhance patient outcomes and reduce adverse effects associated with this condition.

Acute Cerebrovascular Accident in Pregnancy Due to Hyperhomocysteinaemia Secondary to Vitamin B12 Deficiency: A Case Report

Stroke in pregnancy is rare but is one of the leading causes of morbidity and mortality in developed countries. Pregnancy, as a prothrombotic state, acts as a precursor for stroke. Preeclampsia, eclampsia, amniotic fluid embolism, hypertension, diabetes, and many other factors predispose to the development of stroke. Endothelial cell injury leading to arteriosclerosis, causing a stroke, has been associated with raised homocysteine levels. Hereby, the authors present a case of a 26-year-old Gravida 3 Pregnancy 1 Live 1 Abortion 1 (G3P1L1A1) at 35 weeks gestation with a cephalic presentation who complained of a headache for two days, sudden onset of weakness in the right upper limb and lower limb with an inability to walk without support and inability to speak since 12 hours, associated with one episode of vomiting. Magnetic Resonance Imaging (MRI) brain showed acute infarcts in the left fronto-parietal lobes and capsule region with haemorrhagic transformation in the left frontal lobe. Serum vitamin B12 measured by Electroluminescence Assay (ECLA) was found to be low at 113pg/mL (normal range -191-771pg/mL). Serum homocysteine levels measured by enzymatic method were elevated at 46 umol/L (normal range 3-18 umol/L). A diagnosis at 34 weeks of pregnancy with acute cerebrovascular accident with right hemiparesis with Broca’s aphasia due to hyperhomocysteinaemia secondary to vitamin B12 deficiency was made. Prompt diagnosis and treatment are known to decrease morbidity in women with cerebrovascular accidents. MRI brain with venogram is known to be the gold standard procedure in diagnosing stroke. Thrombolytic therapy has proven beneficial in the treatment of the disease and in preventing its progression. Prenatal and natal supplementation with folic acid/vitamin B12 in the first trimester of pregnancy prevents Vitamin B12 deficiency and raised homocysteine levels in the maternal serum, thereby decreasing the incidence of stroke.

Delayed diagnosis and increased mortality risk: assessing the effects of the COVID-19 pandemic on breast cancer recurrence

The COVID-19 pandemic has had a significant global impact since its declaration in March 2020. The COVID-19 pandemic has disproportionately impacted cancer patients, particularly those with breast cancer. This study aims to analyze the effects of the pandemic on women diagnosed with breast cancer recurrence. A cohort study was conducted at a tertiary public hospital in São Paulo State, Brazil. Data were collected from electronic records. Patients diagnosed with breast cancer and experiencing recurrence between January 2011 and March 2022 were included. Survival analysis was performed using the Kaplan-Meier estimator and Cox regression. The study included 187 patients, 45 in the pandemic group (recurrence after March 23, 2020) and 142 in the pre-pandemic group. Distant recurrences were more frequent in both groups (pre-pandemic: 62.7 %, pandemic: 75.5 %). Compared to the pre-pandemic group (1.8 years), the pandemic group experienced a longer mean time to recurrence detection (2.9 years) and significantly decreased median survival (9 months vs. 22 months). The Cox regression analysis confirmed an increased risk of death for women diagnosed with breast cancer recurrence during the pandemic period (HR = 1.92, 95 % CI 1.19‒3.12). The present study is among the first to investigate the pandemic's specific effects on breast cancer recurrence, revealing concerning delays in detection and a decrease in survival rates. Prompt diagnosis, timely treatment initiation, and comprehensive support are crucial during public health crises. These findings urge healthcare systems to prioritize tailored care for breast cancer patients during pandemics.

Role of cell-free DNA levels in the diagnosis and prognosis of sepsis and bacteremia: A systematic review and meta-analysis.

Sepsis remains a major cause of mortality in intensive care units (ICUs). Prompt diagnosis and effective management are imperative for better outcomes. In this systematic review and meta-analysis, we explore the potential of circulating cell-free DNA (cfDNA), as a promising tool for early sepsis detection and prognosis assessment, aiming to address limitations associated with traditional diagnostic methods. Following PRISMA guidelines, we collected relevant literature from thirteen databases. Studies were included if they analyzed quantitative diagnostic or prognostic cfDNA levels in humans in case of sepsis. We collected data on basic study characteristics, baseline patient demographics (e.g. age and sex), and cfDNA levels across different stages of sepsis. Pooled SMD with 95%-CI was calculated, and Comprehensive Meta-Analysis (CMA) software facilitated meta-analysis. Receiver operating characteristic (ROC) curves were generated to assess cfDNA's combined sensitivity and specificity in diagnostics and prognostics. We included a final of 44 studies, of which, only 32 with 2950 participants were included in the meta-analysis. cfDNA levels were higher in septic patients compared to healthy controls (SMD = 3.303; 95%-CI [2.461-4.145], p<0.01). Furthermore, cfDNA levels were higher in non-survivors than survivors (SMD = 1.554; 95%-CI [0.905-2.202], p<0.01). Prognostic studies demonstrated a pooled sensitivity and specificity of 0.78, while diagnostic studies showed a sensitivity of 0.81 and a specificity of 0.87. These findings show that cfDNA levels are significantly higher in sepsis patients compared to control groups and non-survivors in comparison to survivors among both adult and pediatric populations.

Ensemble Learning-based Multiple Sclerosis Detection Technique Using Magnetic Resonance Imaging

Multiple sclerosis (MS) is a complicated neurological disorder that leads to demyelination of nerve fibers in the central nervous system, causing severe symptoms and gradual impairment. Prompt and precise diagnosis of MS is essential for prompt intervention and individualized treatment planning. This research presents a new method for detecting MS: magnetic resonance imaging (MRI) data. Utilizing current progress in deep learning and ensemble learning methodologies, we use SWIN transformer and MobileNetV3-small for extracting features from MRI images. These features are then used for classification using CatBoost, XGBoost, and random forest algorithms. The suggested framework is tested and confirmed effective using the Kaggle MS database, which consists of various MRI images. The experimental findings show a remarkable average accuracy of 99.8% and a little loss of 0.07, highlighting the effectiveness of the suggested strategy in discriminating between aberrant and normal MRI pictures that indicate MS. This study enhances the field of medical image analysis by providing a precise and effective framework for automated diagnosis of MS. This framework has the potential to enhance diagnostic efficiency and improve patient outcomes. Combining deep learning feature extraction with ensemble classifiers offers a robust and easily understandable approach for diagnosing MS and has the potential to be used in clinical settings. Future research should prioritize validating the suggested technique on more extensive datasets and incorporating it into clinical practice to enhance early identification of MS and provide individualized patient treatment.

Trends in the utilization of computed tomography chest for acute pulmonary embolism in the emergency department and the yield in treatment

Background: Acute pulmonary embolism (PE) is a life-threatening condition with high mortality rates. Prompt and accurate diagnosis is crucial to prevent morbidity and mortality. Overutilizing computed tomography pulmonary angiography (CTPA) in low-risk patients can lead to unnecessary health-care costs and radiation exposure. Proper pretest probability assessment is recommended to guide the use of CTPA. Aim: This study aimed to evaluate the utilization of CTPA in the diagnosis of acute PE in the emergency department, with a focus on the application of pretest probability assessment (modified Wells score [MWS] and D-dimer). The primary objectives were to assess the extent of CTPA usage in low-risk patients, determine the effectiveness of D-dimer levels and the MWS in predicting PE, and identify areas for potential improvement in CTPA utilization to reduce unnecessary imaging and enhance patient care. In addition, the study aimed to evaluate the appropriateness of anticoagulant treatment in patients diagnosed with acute PE, particularly in cases of segmental/subsegmental PE. Settings and Design: A retrospective analysis was done on all suspected PE patients in the emergency room at our facility who underwent CTPA over 5 years. Patient demographic information, presenting complaints, physical examination findings, laboratory test results, and imaging findings were all included in the data collection. Materials and Methods: A retrospective review of 758 patient records at a tertiary hospital was conducted over 5 years. Data included demographics, presenting symptoms, test results, and imaging findings. D-dimer levels and the MWS were used for pretest probability evaluation. Anticoagulant treatment and appropriateness were also assessed. Statistical Analysis: Statistical analysis was carried out using RStudio (R version 4.3.0). Numerical variables were expressed as median (interquartile range), and frequencies and percentages were used to present categorical variables. A Fisher’s exact test was applied to assess the differences between patients who received anticoagulants and those who did not, as well as patients with PE statuses across D-dimer levels, Wells score categories, and receiving anticoagulants. A Kruskal–Wallis test explored the time to read reports between PE categories. P &lt;0.05 indicated statistical significance. Results: Among 758 patients, 18.8% had acute PE, with 6.2% being segmental/subsegmental PE. The majority of cases (79.8%) were negative for PE. A high rate of CTPA utilization was observed, especially in low-risk patients. Sixty-eight percent of low-risk patients had negative PE results. Among patients with acute PE, lobar PE (36.4%) and segmental/subsegmental PE (32.9%) were the most common locations. D-dimer and MWS were underutilized. Conclusions: By identifying low-risk patients who might not need CTPA, compliance with pretest probability evaluation using the MWS and D-dimer levels can help minimize unnecessary imaging and its associated risks. The results showed that efforts should be made to adhere to guidelines and recommendations, especially if the patients were categorized as low risk based on MWS or normal D-dimer levels. This will eventually improve patient outcomes and lower health-care costs.

The Role of Chest Radiology in Traumatic Injuries: A Comprehensive Narrative Review

Chest trauma is a critical medical condition that encompasses a range of injuries and can result from various causes. Prompt and accurate diagnosis is crucial in managing chest trauma patients and radiology plays a pivotal role in this aspect. Imaging modalities in chest trauma aid in precise diagnosis and treatment planning. Especially, X-rays remain the initial imaging modality of choice due to their accessibility, speed, and ability to detect acute life-threatening conditions. Computed Tomography (CT) Scan offers detailed cross- sectional images allowing for comprehensive evaluation of chest trauma and surgical planning when necessary. Ultrasound (US) is increasingly valuable tool due to its portability and real-time imaging capabilities, aiding in rapid assessment at the bedside. Magnetic Resonance Imaging (MRI) is less commonly used due to time constraints and limited availability. Radiological imaging serves various purposes in the diagnosis and management of chest trauma such as early detection and triage, characterization and severity assessment, surgical planning, follow-up and monitoring of chest trauma. Reduction of radiation exposure, advancements in imaging technology (dual-energy CT, contrastenhanced imaging) and Artificial Intelligence (AI) algorithms are crucial challenges and deserve attention. A multidisciplinary approach integrating radiological expertise remains fundamental in ensuring optimal outcomes for patients with chest trauma.

Combination of machine learning algorithms with natural language processing may increase the probability of bacteremia detection in the emergency department: A retrospective, big-data analysis of 94,482 patients.

Prompt diagnosis of bacteremia in the emergency department (ED) is of utmost importance. Nevertheless, the average time to first clinical laboratory finding range from 1 to 3 days. Alongside a myriad of scoring systems for occult bacteremia prediction, efforts for applying artificial intelligence (AI) in this realm are still preliminary. In the current study we combined an AI algorithm with a Natural Language Processing (NLP) algorithm that would potentially increase the yield extracted from clinical ED data. This study involved adult patients who visited our emergency department and at least one blood culture was taken to rule out bacteremia. Using both tabular and free text data, we built an ensemble model that leverages XGBoost for structured data, and logistic regression (LR) on a word-analysis technique called bag-of-words (BOW) Term Frequency-Inverse Document Frequency (TF-IDF), for textual data. All algorithms were designed in order to predict the risk for bacteremia with ED patients whose blood cultures were sent to the laboratory. The study cohort comprised 94,482 individuals, of whom 52% were males. The prevalence of bacteremia in the entire cohort was 9.7%. The model trained on the tabular data yielded an area under the curve (AUC) of 73.7% for XGBoost, while the LR that was trained on the free text achieved an AUC of 71.3%. After checking a range of weights, the best combination was for 55% weight on the XGBoost prediction and 45% weight on the LR prediction. The final model prediction yielded an AUC of 75.6%. Harnessing artificial intelligence to the task of bacteremia surveillance in the ED settings by a combination of both free text and tabular data analysis improved predictive performance compared to using tabular data alone. We recommend that future AI applications based on our findings should be assimilated into the clinical routines of ED physicians.

A Medical Paradigm Shift in Society 5.0: Implementation of a Smartphone App-based Dry Eye Diagnosis Assistance Software as a Medical Device.

Society 5.0, proposed as part of the 5th Science and Technology Basic Plan by Japan's National Institute of Advanced Industrial Science and Technology, is a human-centered society where cyberspace and physical space are integrated, to resolve social challenges and promote economic growth. In Society 5.0, medicine will undergo extensive digital transformation (DX), and digital health technology is expected to expand markedly, becoming part of routine clinical practice. Prompt diagnosis of dry eye disease (DED) and uninterrupted monitoring of such patients with healthcare barriers is currently an unmet need. DX of DED evaluation and management can boost the current quality of DED care. Software as Medical Devices (SaMDs), i.e., software programs developed through evidence-based research to provide diagnostic, therapeutic, and preventive services, and particularly medical devices based on smartphone applications (apps), have attracted attention. We have striven to actualize the DX of ophthalmic care and evaluation, denoted by our ongoing development of SaMDs to assist DED diagnosis. To illustrate healthcare using the Internet of Medical Things, we here present the research and development process of our smartphone app-based SaMD for DED diagnosis assistance.

Detection of invasive Bartonella infections with next-generation sequencing of microbial cell-free DNA.

We report 9 patients with invasive Bartonella infections, including 5 with endocarditis, who were diagnosed with microbial cell-free DNA next-generation sequencing and Bartonella serology studies. Diagnosis with plasma mcfDNA NGS enabled a faster clinical and laboratory diagnosis in 8 patients. Prompt diagnosis impacted antibiotic management in all 9 patients.

Posterior Reversible Encephalopathy Syndrome with Addison’s Disease in a Known Case of Arnold Chiari Malformation

Posterior Reversible Encephalopathy Syndrome (PRES) is a life-threatening neurological disease. The aetiology of Addison’s disease has been modified from infectious to autoimmune pathology. Underlying pathogenesis is insufficient production of glucocorticoids and mineralocorticoids. Case series with PRES syndrome and Cushing’s syndrome have been reported but PRESS with adrenal insufficiency is rarely published. We hereby report an operated case of Arnold Chiari malformation presenting with first episode of generalised tonic clonic seizure and diarrhoea for four days. Postictal confusion was present for two hours. She was previously diagnosed with Addison’s disease. Patient had hypotension and dyselectrolytaemia. Systemic examinations were within normal limits. MRI brain revealed features of PRES. The authors encountered certain challenges in her management which included persistent hypokalaemia, hypocalcaemia and hypotension. Patient is on regular follow-up and she is currently asymptomatic. Prompt diagnosis of PRES and intensive case treatment is a must for the betterment of prognosis.

Prevalence of Hypodontia in North Indian Orthodontic Subjects and its Association with Other Dental Anomalies

Abstract Objectives: The objectives of the present study were to (a) estimate the prevalence of hypodontia in permanent dentition of the North Indian Orthodontic subjects and to compare the results of the present study with specific findings of other populations; (b) evaluate occurrence of hypodontia in relation to gender, tooth type, location and pattern of distribution in maxillary and mandibular dental arches. Materials and Methods: Initial Pretreatment Orthodontic records of 1063 patients in the age range of 12–30 years collected from the archives of the department and the subjects who reported to the routine outpatient department of the department for orthodontic treatment and gave their consent for collecting pre–treatment orthodontic records. The initial pretreatment records to diagnose hypodontia and other dental anomalies included (a) orthodontic study models, (b) orthopantomograms, and (c) relevant findings from patient history sheets. Results: Thirty-two subjects fulfilled the selection criteria thus, giving the prevalence rate of hypodontia in the North Indian Orthodontic population of 3.01% out of which 21 were females and 11 were males with most common age group of 12–15 years. Maximum number of subjects were found to have only 1 CMT more commonly in the anterior region than the posterior region of the jaw and more in mandibular arch with mandibular central incisor to be the most common type of congenitally missing permanent tooth. In majority of hypodontia subjects, the most common associated dental anomaly was retained primary tooth. Conclusion: The prevalence of hypodontia of this study was within the range of that reported in the literature. Prompt diagnosis of hypodontia and other anomalies at an early age can help in planning various treatment modalities with a multidisciplinary team approach to establish a functional and esthetic dentition.

Tuberculosis Testis In Middle-Aged Male As A Rare Case Of Genitourinary Tuberculosis: A Case Report

Introduction: Testicular tuberculosis is a very rare type of urogenital TB. &#x0D; Case Presentation: A 36 year old man came to the emergency room because of pain in the right testicle accompanied by swelling and discharge. Orchiectomy on the dextra testis was continued with treatment using category 1 OAT for 9 months after the diagnosis was made using anatomic pathology examination.&#x0D; Discussion: The physical examination needs to be done carefully because most general practitioners consider testicular enlargement to be a malignancy. Urogenital tuberculosis requires 6 months of treatment and 9 months of treatment in patients with certain conditions.&#x0D; Conclusion: Prompt and precise diagnosis if testicular TB is necesssary to prevent infertility, the most common complication