Computed Tomography Research Articles

Leiomyosarcoma of the inferior vena cava: case report

Introduction and Importance: Leiomyosarcomas of the inferior vena cava are exceedingly rare tumors, presenting diagnostic dilemmas due to their nonspecific clinical features. This case report aims to shed light on the challenges associated with diagnosing and managing such tumors, emphasizing the importance of a multidisciplinary approach. This article uses SCARE2023 criteria as a framework to sort out a case report in order[1]. Case Presentation: We present a case of leiomyosarcoma of the inferior vena cava in a patient presenting with abdominal pain. Initial clinical signs, supported by computed tomography (CT) and magnetic resonance imaging (MRI), led to the suspicion of the tumor. Histological analysis confirmed the diagnosis, prompting surgical intervention. Clinical Discussion: The diagnosis of tumors within the inferior vena cava is often challenging due to their nonspecific presentation. Imaging modalities such as CT and MRI play an important role in describing the extent of the tumor and guiding surgical planning. Histological analysis remains supreme for definitive diagnosis. Surgical resection, aimed at complete excision, is the keystone of treatment to minimize the risk of recurrence. Conclusion: Leiomyosarcomas of the inferior vena cava pose diagnostic and therapeutic challenges due to their rarity and nonspecific clinical presentation. A comprehensive approach integrating clinical assessment, imaging, and histological analysis is essential for accurate diagnosis and optimal management. Multidisciplinary collaboration is key for navigating the complexities associated with these rare vascular neoplasms, ensuring positive patient outcomes.

Prediction of bone mineral density based on computer tomography images using deep learning model

Introduction The problem of population aging is intensifying worldwide. Osteoporosis has become an important cause affecting the health status of older populations. However, the diagnosis of osteoporosis and people's understanding of it are seriously insufficient. We aim to develop a deep learning model to automatically measure bone mineral density (BMD) and improve the diagnostic rate of osteoporosis. Methods The images of 801 subjects with 2080 vertebral bodies who underwent abdominal paired computer tomography (CT) and quantitative computer tomography (QCT) scanning was retrived from June 2020 to January 2022. The BMD of T11-L4 vertebral bodies was measured by QCT. Developing a multi-stage deep learning-based model to simulate the segmentation of the vertebral body and predict BMD. The subjects were randomly divided into training dataset, validation dataset and test dataset. Analyze the fitting effect between the BMD measured by the model and the standard BMD by QCT. Accuracy, precision, recall and f1- score were used to analyze the diagnostic performance according to categorization criterion measured by QCT. Results 410 males (51.2%) and 391 females (48.8%) were included in this study. Among them, there were 154 (19.2%) males and 118 (14.7%) females aged 23-44; 182 (22.7%) males and 205 (25.6%) females aged 45-64; 74 (9.2%) males and 68 (8.5%) females aged 65-84. The number of vertebral bodies in the training dataset, the validation dataset, and the test dataset was 1433, 243, 404, respectively. In each dataset, the BMD of males and females decreases with age. There was a significant correlation between the BMD measured by the model and QCT, with the coefficient of determination (r2) 0.95-0.97. The diagnostic accuracy based on the model in the three datasets was 0.88, 0.91, and 0.91, respectively. Conclusion The proposed multi-stage deep learning-based model can achieve automatic measurement of vertebral BMD and performed well in the prediction of osteoporosis.

Rheumatoid arthritis: a rare cause of pachymeningitis and optic neuritis

Introduction: Rheumatoid pachymeningitis and optic neuritis are rare complications of rheumatoid arthritis (RA) and are a diagnosis of exclusion. Case description: A 75-year-old male with a history of seronegative RA presented to the emergency department with left eye pain and blurry vision lasting two days. He had been diagnosed with seronegative RA around nine months previously. His blood pressure was elevated at 204/75 mmHg upon arrival. Physical examination revealed left conjunctival injection, mild ptosis, painful extraocular movements and tenderness over the orbit and sinuses. Initial treatments included painkillers and intravenous labetalol, which alleviated his symptoms and decreased his blood pressure. Laboratory tests showed a C-reactive protein of 2.5 mg/dl and an erythrocyte sedimentation rate of 32 mm/h, with other blood work unremarkable. A computed tomography (CT) angiogram of the head and neck showed no high-grade stenosis. Given his RA history, initial concerns included scleritis. A magnetic resonance imaging (MRI) of the brain and orbit revealed inflammation around the left optic nerve, and pachymeningitis at the left cerebral convexity and interhemispheric fissure, suggesting hypertrophic pachymeningitis. An ophthalmologic examination was unremarkable. Treatment was adjusted to include pulse doses of intravenous methylprednisolone for optic neuritis, resulting in significant pain relief. Though inadequate for complete testing, a lumbar puncture indicated an inflammatory disorder with elevated glucose (199 mg/dl), protein (109 mg/dl), and unremarkable WBC/RBC and Gram staining. Cytology and culture were unremarkable. The most likely diagnosis at this point was rheumatological meningitis and rheumatological optic neuritis. The patient improved markedly with high-dose steroids over four days and was discharged on prednisone. Conclusion: In cases of optic neuritis and pachymeningitis, RA should remain on the differential in patients with or without a prior diagnosis.

Using Deep Learning, Optuna, and Digital Images to Identify Necrotizing Fasciitis

Necrotizing fasciitis, which is categorized as a medical and surgical emergency, is a life-threatening soft tissue infection. Necrotizing fasciitis diagnosis primarily relies on computed tomography (CT), magnetic resonance imaging (MRI), ultrasound scans, surgical biopsy, blood tests, and expert knowledge from doctors or nurses. Necrotizing fasciitis develops rapidly, making early diagnosis crucial. With the rapid progress of information technology and systems, in terms of both hardware and software, deep learning techniques have been employed to address problems in various fields. This study develops an information system using convolutional neural networks (CNNs), Optuna, and digital images (CNNOPTDI) to detect necrotizing fasciitis. The determination of the hyperparameters in convolutional neural networks plays a critical role in influencing classification performance. Therefore, Optuna, an optimization framework for hyperparameter selection, is utilized to optimize the hyperparameters of the CNN models. We collect the images for this study from open data sources such as Open-i and Wikipedia. The numerical results reveal that the developed CNNOPTDI system is feasible and effective in identifying necrotizing fasciitis with very satisfactory classification accuracy. Therefore, a potential future application of the CNNOPTDI system could be in remote medical stations or telemedicine settings to assist with the early detection of necrotizing fasciitis.

Lymph node assessment in cervical cancer: current approaches

Cervical cancer (CC) is the fourth most common neoplasia in women worldwide. Although early-stage CC is often curable, 40 to 50% of patients are diagnosed at a locally advanced stage. Metastatic disease accounts for the principal cause of death. Lymph node (LN) status is a major factor impacting treatment options and prognosis. Historically, CC was staged based only on clinical findings. However, in 2018, imaging modalities and/or pathological findings were included in the International Federation of Gynecology and Obstetrics (FIGO) staging classification. In the last decades, LN status assessment has evolved considerably. Full pelvic lymphadenectomy used to be the only way to determine LN status. Currently, several options exist: surgery with full lymphadenectomy, sentinel lymph node (SLN) biopsy or imaging modalities such as computed tomography (CT), magnetic resonance imaging (MRI) and positron emission tomography (PET). Regarding surgery, the SLN biopsy technique has become a standard procedure in cases of CC, with indocyanine green (ICG) being the preferred dye. Pelvic MRI is a valuable imaging technique modality for the evaluation of pelvic LNs. In locally advanced or in early-stage disease with suspicious LNs on CT scans or MRI, PET/CT is recommended for assessment of nodal and distant status. The best strategy for LN assessment remains a highly controversial topic in the literature. In this article, we aim to review and compare the advantages and limitations of each modality, i.e. imaging or surgical (lymphadenectomy or SLN biopsy) approaches.

Emerging technologies and applications in multimodality imaging for ischemic heart disease: current state and future of artificial intelligence

Ischemic heart disease (IHD) is a major global health issue, frequently resulting in myocardial infarction and ischemic cardiomyopathy. Prompt and precise diagnosis is essential to avert complications such as heart failure and sudden cardiac death. Although invasive coronary angiography remains the gold standard for high-risk patients, noninvasive multimodality imaging is becoming more prevalent for those at low-to-intermediate risk. This review evaluated the current state of multimodality imaging in IHD, including echocardiography, nuclear cardiology, cardiac magnetic resonance imaging (MRI), computed tomography (CT) angiography, and invasive coronary angiography. Each modality has distinct strengths and limitations, and their complementary use provides a comprehensive assessment of cardiac health. Integrating artificial intelligence (AI) into imaging workflows holds promise for enhancing diagnostic accuracy and efficiency. AI algorithms can optimize image acquisition, processing, and interpretation of complex imaging data. Emerging technologies like 4D flow MRI, molecular imaging, and hybrid systems [e.g., positron emission tomography (PET)/MRI, PET/CT] integrate anatomical, functional, and molecular data, providing comprehensive insights into cardiac pathology and potentially revolutionizing the management of IHD. This review also explored the clinical applications and impact of multimodality imaging on patient outcomes, emphasizing its role in improving diagnostic precision and guiding therapeutic decisions. Future directions include AI-driven decision support systems and personalized medicine approaches. Addressing regulatory and ethical challenges, such as data privacy and algorithm transparency, is crucial for the broader adoption of these advanced technologies. This review highlighted the transformative potential of AI-enhanced multimodality imaging in improving the diagnosis and management of IHD.

Hybrid Thoracic Endovascular Repair of a Large, Saccular Aortic Arch Aneurysm with Coil Embolization of the Left Subclavian Artery in a 31 Year Old Filipino Female with Takayasu Arteritis and Multiple Intracranial Aneurysms: A First in the Philippines

BACKGROUND: Takayasu Arteritis (TA) is a rare, primary large-vessel vasculitis frequently leading to stenosis and less commonly, aneurysm formation. Saccular aneurysms of the aortic arch in patients with TA are fatal, have rarely been reported and represent a significant technical challenge due to the difficult anatomical location and need for protection of the cerebral circulation. Concomitant intracerebral aneurysms in patients with TA are extremely uncommon and have mostly been documented in very few case reports in literature. CASE DISCUSSION: We present a case of a 31 year-old Filipino female with recurrent chest and neck pain radiating to the upper back. Computed tomographic (CT) angiography demonstrated a large saccular aortic arch aneurysm without branch stenosis. CTA of the cerebral circulation likewise demonstrated multiple, saccular, intra-cerebral aneurysms. She underwent hybrid thoracic arch repair with supra-aortic debranching via mini-sternotomy and proximal ligation of the left common carotid artery and staged endovascular aortic arch replacement with coil embolization of the ostial-to-proximal left subclavian artery segment. Post-operative aortogram showed optimal repair with thrombosed aneurysmal sac, optimal graft position, no endoleaks and preservation of cerebral circulation. Patient improved symptomatically post-procedure and remained symptom-free during follow-up after six months. Careful review of local literature suggests that this is the first Philippine TA case with a saccular aortic arch aneurysm successfully managed in this manner. CONCLUSION: Saccular aortic arch aneurysms in patients with Takayasu are unusual and presence of concomitant multiple cerebral saccular aneurysms have rarely been reported in literature. This case highlighted that hybrid endovascular arch repair in patients with TA is feasible, minimally invasive and effective. KEYWORDS: Takayasu arteritis, aortic arch aneurysm, cerebral aneurysm, hybrid endovascular arch repair, aortic de-branching

“Bead to death,” Fibromuscular Dysplasia Presenting as A Rapidly Enlarging Right Anterior Axillary Mass

Fibromuscular dysplasia (FMD) is a rare non-inflammatory, non-atherosclerotic arterial disease characterized by abnormal cellular proliferation and distorted architecture. It commonly affects the renal and extracranial carotid and vertebral arteries, but nearly all arterial beds may be affected, and multivessel involvement is common. We report a rare case of a 31-year-old Filipino female who presented with a rapidly enlarging right anterior axillary mass. Initial consideration was a bleeding soft tissue sarcoma as seen on chest CT scan, while whole abdominal CT scan with IV contrast revealed incidental findings of multiple aneurysms in the superior mesenteric artery, both renal arteries and right common iliac artery, suggestive of fibromuscular dysplasia. Further vascular imaging studies showed a looped left internal carotid, and a tortuous left brachial artery with beading pattern.

Patient centered HCC surveillance - complementary roles of ultrasound and CT/MRI

Abstract Hepatocellular carcinoma (HCC) is a leading cause of cancer-related mortality worldwide and is the fastest growing cause of cancer death in the United States (U.S.) In the U.S., current national clinical practice guidelines from the 2023 American Association for the Study of Liver Diseases (AASLD) Practice Guidance and the recently updated Liver Imaging Reporting & Data Systems (LI-RADS) Ultrasound (US) Surveillance v2024 core recommend semi-annual serum α-fetoprotein and US screening of patients deemed to be high risk for developing HCC. In this article, we will explore the transition to a patient-centered approach to HCC surveillance, including the role of the new LI-RADS US Surveillance v2024 core and the use of visualization score for determining ultrasound quality, the known risk factors for poor US image quality, and the potential options for alternative surveillance strategies when US may not be a viable option for certain patients, including multiphasic computed tomography (CT), magnetic resonance imaging (MRI), and several abbreviated MRI protocols.

Three-dimensional spatial structure and heterogeneity characterization of #5 coal of Shanxi Formation in eastern Ordos basin

Based on macroscopic qualitative observation, microscopic quantitative analysis, low-temperature adsorption, high-pressure mercury intrusion and three-dimensional CT scanning, the spatial structure and heterogeneity of the #5 coal from the eastern Ordos Basin, Shanxi Formation, are quantitatively characterized. The following observation were studied: 1) The main body of the #5 coal was intact structural coal seam, with the density of cleats gradually increasing from north to south. 2) The microscopic composition of the #5 coal is dominated by desmocollinite, which contains small amounts of inertinite and inorganic minerals, with the inorganic component mainly composed of carbonate rocks and a small amount of clay. The carbon content and the content of its inorganic minerals in the #5 coal gradually decrease toward the inner basin, caused by transport distance and depositional environment. 3) At the micrometer scale, no significant pores were observed, and the #5 coal bed is primarily composed of micro-mesopores smaller than 40 nm, with a small number of 50∼100 nm macropores. Simultaneously, micro-fractures in the coal bed were well developed; by using mercury intrusion data of the bimodal feature of the pore throat, indicates the coexistence of micrometer-scale micro-fractures and nanometer-scale mesopores within the coal, with pronounced differences and interconnected complexity. 4) The porosity and permeability of microfractures, as well as the number of microfracture bars and permeability, indicate that the connectivity of coal bed is primarily caused by the microfracture system. By reconstructing the three-dimensional spatial structure of the #5 coal through multiple tests, the heterogeneous characteristics are quantitatively characterized.

Predicting first-line VEGFR-TKI resistance and survival in metastatic clear cell renal cell carcinoma using a clinical-radiomic nomogram

Abstract Background This study aims to construct predicting models using radiomic and clinical features in predicting first-line vascular endothelial growth factor receptor-tyrosine kinase inhibitor (VEGFR-TKI) early resistance in metastatic clear cell renal cell carcinoma (mccRCC) patients. We also aim to explore the correlation of predicting models with short and long-term survival of mccRCC patients. Materials and methods In this retrospective study, 110 mccRCC patients from 2009 to 2019 were included and assigned into training and test sets. Radiomic features were extracted from tumor 3D-ROI of baseline enhanced CT images. Radiomic features were selected by Lasso method to construct a radiomic score. A combined nomogram was established using the combination of radiomic score and clinical factors. The discriminative abilities of the radiomic, clinical and combined nomogram were quantified using ROC curve. Cox regression analysis was used to test the correlation of nomogram score with progression-free survival (PFS) and overall survival (OS). PFS and OS were compared between different risk groups by log-rank test. Results The radiomic, clinical and combined nomogram demonstrated AUCs of 0.81, 0.75, and 0.83 in training set; 0.79, 0.77, and 0.88 in test set. Nomogram score ≥ 1.18 was an independent prognostic factor of PFS (HR 0.22 (0.10, 0.47), p < 0.001) and OS (HR 0.38 (0.20, 0.71), p = 0.002), in training set. PFS in low-risk group were significantly longer than high-risk group in training (p < 0.001) and test (p < 0.001) set, respectively. OS in low-risk group were significantly longer than high-risk group in training (p = 0.003) and test (p = 0.009) set, respectively. Conclusion A nomogram combining baseline radiomic signature and clinical factors helped detecting first-line VEGFR-TKI early resistance and predicting short and long-term prognosis in mccRCC patients.

Preoperative Prediction of Perineural Invasion in Pancreatic Ductal Adenocarcinoma Using Machine Learning Radiomics Based on Contrast-Enhanced CT Imaging

Preoperative Prediction of Perineural Invasion in Pancreatic Ductal Adenocarcinoma Using Machine Learning Radiomics Based on Contrast-Enhanced CT Imaging

Computed tomography morphological assessments of central airways in interstitial lung abnormalities and idiopathic pulmonary fibrosis

BackgroundLittle is known about whether central airway morphological changes beyond traction bronchiectasis develop and affect clinical outcomes in patients with idiopathic pulmonary fibrosis (IPF). This study aimed to compare central airway structure comprehensively between patients with IPF, subjects with interstitial lung abnormality (ILA), and those without ILA (control) using computed tomography (CT). We further examined the prognostic impact of IPF-specific CT airway parameters in patients with IPF.MethodsThis retrospective study included male patients with IPF, and male health checkup subjects divided into those with ILA and control based on lung cancer screening CT. Using an artificial intelligence-based segmentation technique, the extent of fibrotic regions in the lung was quantified. After airway tree segmentation, CT parameters for central airway morphology, including the lumen area of the extrapulmonary airways (LAextra), wall and lumen area of the segmental/subsegmental intrapulmonary airways (WAintra and LAintra), tracheal distortion (tortuosity and curvature) and bifurcation angle of the main carina, were calculated.ResultsThere were 106 patients with IPF, 53 subjects with ILA, and 1295 controls. Multivariable models adjusted for age, height and smoking history revealed that LAintra and WAintra were larger in both ILA and IPF, and that tracheal tortuosity and curvature were higher in IPF, but not in ILA, than in the control, whereas the bifurcation angle did not differ between the 3 groups. According to multivariable Cox proportional hazards models including only patients with IPF, increased WAintra was significantly associated with greater mortality (standardized hazard ratio [95% confidence interval] = 1.58 [1.17, 2.14]), independent of the volume of fibrotic regions, normal-appearing regions, or the whole airway tree in the lung.ConclusionIncreased lumen area and wall thickening of the central airways may be involved in the pathogenesis of ILA and IPF, and wall thickening may affect the prognosis of patients with IPF.

Transcranial Ultrasound Guided Assessment of Brain Midline Shift in Neuro Intensive Care Unit

Background: Neuro Intensive Care Unit (Neuro-ICU) handles neurological emergencies that involve intracranial (IC) hemorrhages. It can be challenging to manage elevated intracranial pressure (ICP) and midline shift (MLS), as they requires constant monitoring and frequent imaging. Trans-cranial Color Coded Sonography (TCCS), a bedside monitoring tool, may be helpful in monitoring MLS under such conditions. Objectives: To correlate MLS of the third ventricle in the brain measured by TCCS with CT midline shift. Method: A prospective observational study was conducted on patients with IC bleed who were mechanically ventilated and had a head CT done to rule out MLS. Within an hour of doing a CT brain, TCCS-MLS was identified. Data was collected and analyzed. Results: A total of fifty patients studied, the MLS (mean ±SD) was 5.3mm ± 3.1 mm using TCCS and 6.7±4.4 mm using CT brain. The calculated midline shift between TCCS and CT brain demonstrated a Pearson's correlation of 0.78 (P<0.001). With TCCS, the area under the ROC curve to identify a significant MLS was 0.91 (95%CI=0.8-1). TCCS-MLS of 3.9mm as a cut-off, predicted the occurrence of >5mm MLS on CT scan with a sensitivity of 95% and specificity of 90%. Conclusions: This study suggests that TCCS could serve as an alternative bedside monitoring tool in patients whose transportation is risky, in predicting the transcranial MLS >5mm with reasonable accuracy.

Sectional measurements of shoulder muscle volume and computed tomography density in anterior shoulder instability

In patients with anterior shoulder instability (ASI), a chronic imbalance might exist between the anterior and posterior shoulder muscles (i.e., subscapular [Ssc] vs. infraspinatus and teres minor [Isp + TM]). The balance could be evaluated as the ratio of volume (VR Ssc/Isp+TM) and computed tomography density (CT-DR Ssc/Isp+TM) using a 3D sectional approach. A total of 28 CT images (19 patients) of non-pathological shoulders (clavicular fracture [CF]) and 17 CT images (17 patients) of ASI were used. Segmentation of Ssc and Isp + TM muscles was performed; the reconstructed models were separated by the Y-view plane and the planes situated 2.5 cm and 5 cm medial to the Y-view plane to generate muscle models. VR Ssc/Isp+TM and CT-DR Ssc/Isp+TM were measured in each section of both the groups, as well as in whole muscle measurements in the CF group. VR Ssc/Isp+TM and CT-DR Ssc/Isp+TM obtained through a 3D sectional approach in the CF group were comparable to the whole muscle measurements, with a value of 1.06 for both. In the ASI group, the VR Ssc/Isp+TM was higher, whereas the CT-DR Ssc/Isp+TM was lower than those in the CF group. The VR Ssc/Isp+TM and CT-DR Ssc/Isp+TM appeared to be balanced in the CF group. However an imbalance was observed in the ASI group. Our 3D sectional measurement approach has the potential to assess the balance between the anterior and posterior shoulder muscles in ASI.

Venous intestinal ischemia of fungal origin as a cause of intestinal obstruction in immunocompromised patients: case report and literature review

BackgroundMucormycosis is a highly lethal opportunistic fungal disease caused by ubiquitous molds of the order Mucorales, with Rhizopus, Lichtheimia and Mucor being the most common genera. This rare disease primarily affects immunocompromised patients, with presentations ranging from rhino-orbito-cerebral infections to disseminated mucormycosis with angioinvasion, leading to thrombosis and tissue infarction. Gastrointestinal mucormycosis is the least common clinical presentation and is believed to be secondary to spore ingestion. It can involve multiple components of the gastrointestinal tract, such as the stomach, liver, ileum, and colon, with nonspecific manifestations, including pain, nausea, vomiting, and abdominal distension. The initial clinical presentation may even manifest as gastrointestinal bleeding due to gastric ulceration or intestinal perforation.Case presentationHere we present the case of a 48-year-old male patient with a 9-year history of human immunodeficiency virus (HIV) infection who was hospitalized in the context of febrile neutropenia and whose acute respiratory infection was documented; therefore, antibiotic treatment was initiated. However, due to persistent febrile peaks and peripheral blood showing documentation of multilineage cytopenias, a bone marrow biopsy was performed, compatible with presenting features of marrow myelodysplasia. During hospitalization, the patient presented left flank abdominal pain, and an abdominal computed tomography (CT) scan revealed signs of intussusception of a small bowel loop at the distal jejunum level, leading to intestinal obstruction with ischemic progression, requiring ileectomy (60 cm). Histopathological analysis of the resected intestine revealed severe transmural ischemic changes associated with venous thrombosis due to fungal structures, with histochemical studies demonstrating the presence of zygomycete (Mucor) fungal structures, leading to the initiation of treatment with amphotericin B. However, despite treatment, the patient experienced progressive clinical deterioration with persistent fever and ventilatory failure, with follow-up tests showing absolute neutropenia and blood cultures positive for yeast, leading to death 52 days after admission.ConclusionsThe diagnosis of intestinal mucormycosis may be delayed due to the lack of specificity of the signs and symptoms. Pathologists as well as histopathological studies are essential for timely treatment.

A Case Report of Dorsal Pancreatic Agenesis and Uterus Didelphys in a Young Woman: A Seldom- reported Association

Agenesis of the dorsal pancreas is a rare congenital anomaly that often remains asymptomatic and is frequently discovered incidentally during imaging for other conditions. Its association with Müllerian anomalies, such as uterus didelphys, suggests that both conditions may stem from similar embryological disruptions during early fetal development. This report aims to raise awareness of Agenesis of the Dorsal Pancreas (ADP) and its potential associations with Müllerian anomalies. By presenting a detailed case study, we seek to address the diagnostic challenges faced by healthcare professionals and the implications for patient management, emphasizing the importance of early detection and appropriate intervention. We present a case involving a 24-year-old Iranian female who presented with a 10-day history of abdominal pain and vomiting. Initial ultrasound imaging revealed moderate hydroureteronephrosis in the right kidney, prompting further investigation. A contrast-enhanced CT scan was performed, which not only confirmed ureteropelvic junction obstruction but also unexpectedly revealed dorsal pancreatic agenesis. In addition to these findings, the patient was diagnosed with uterus didelphys, highlighting a significant developmental anomaly. This case underscores the necessity for increased awareness of ADP and its associations with Müllerian anomalies among healthcare providers. Early and accurate diagnosis through advanced imaging modalities significantly improves patient outcomes and facilitates better management strategies for associated complications.

Atomized inhalation of indocyanine green in thoracoscopic surgery for intralobar pulmonary sequestration: a multicenter study

BackgroundInvestigate the safety and efficacy of preoperative atomization inhalation of indocyanine green (ICG) solution in precise lesion resection of pediatric thoracoscopic intralobar pulmonary sequestration.MethodsA multicenter 1:1 matched case-control study was adopted, to compare the safety and efficacy of the ICG group (preoperative atomization inhalation of 0.5 mg/kg ICG solution) with traditional group (no preoperative atomization inhalation of ICG solution). The baseline, intraoperative, and postoperative recovery conditions of the two groups were observed. Outpatient follow-up visits were conducted 3 to 6 months after surgery, including lung CT scans and pulmonary ventilation function tests.Results134 patients were included in the study. The ICG group included 67 patients, and the traditional surgery group included 67 patients matched at a ratio of 1:1 according to age and lesion location. There were no reports of deaths or adverse reactions. The postoperative chest drainage tube indwelling time [(53.19 ± 8.15) hours vs. (73.25 ± 15.51) hours, P < 0.001] and postoperative hospital stay [(4.81 ± 1.84) days vs. (6.72 ± 1.31) days, P < 0.001] were shorter in the ICG group than in the traditional group. More importantly, the postoperative pulmonary function in the ICG group was better than that in the traditional group. No residual lesions were found in the postoperative CT examination of both groups.ConclusionsThe innovative application of atomization inhalation of ICG provides the possibility for precise localization and lesion resection of pediatric thoracoscopic intralobar pulmonary sequestration. This maximizes the preservation of normal lung parenchyma, better improves postoperative pulmonary function, and shortens postoperative recovery time.

Anatomical Variations on NCCT Nose and Paranasal Sinuses and Their Relation with Symptoms of the Patients: A Retrospective Analysis

Background: There are various bones around the nasal cavity that pneumatize to form the paranasal sinuses; namely, maxilla, ethmoid bone, frontal bone, and sphenoid bone. The CT scan of nose and paranasal sinus is the gold standard investigation for the patients of chronic rhino-sinusitis (CRS). Objective: This study was conducted with aim to determine the prevalence anatomical variation of Nose and Paranasal Sinuses on CT-scan and their relation with symptoms. Methods: A retrospective study was conducted among 200 patients over a period of one year (2022-2023). Patients with various symptoms of chronic rhinosinusitis were subjected to non-contrast enhanced Computed Tomography of nose and paranasal sinuses. Results: In our study 56% patients had septal deviation with most common C shaped deviation followed by S shaped deviation. 99.5% patients have agger nasi cells. The attachment of uncinate process was to the lamina papyracea in 83.0%, followed by the base of skull in 13.0%. The least common types were free uncinate process in 1.5%. The prevalence of concha bullosa was found 16.5%. However, paradoxical turbinate was present in 2.0% subjects. The incidence of Haller cells was found to be 5.0% and Onodi cells were found in 4.5%. The type of frontal cell was Agger Nasi followed by a Supra-bullar. In Sphenoid sinus, commonest type was pre-sellar type of pneumatisation. Conclusion: Our study concluded these various anatomical variations and its prevalence. The relation of variations with disease symptomatology is inconclusive.

“Lung Cancer Prediction Using Machine Learning: A Comprehensive Study”

Lung cancer remains one of the leading causes of cancer-related deaths worldwide, largely due to the fact that it is often diagnosed at a late stage. This research aims to develop an automated system for early detection of lung cancer using machine learning techniques. By utilizing the Lungs CT Scan Dataset from Kaggle, we implement advanced image processing methods and convolutional neural networks (CNN) to accurately identify and classify lung nodules as either benign or malignant. Our methodology includes important data preprocessing steps, such as normalization and augmentation, to enhance the performance of the model.” “The results of our study show a significant improvement in detection accuracy compared to traditional diagnostic methods, with our model achieving a high accuracy rate. Additionally, our system has the potential to reduce diagnostic errors, increase early detection rates, and offer a cost-effective screening solution. By integrating this automated tool into clinical workflows, we aim to provide radiologists with reliable AI-generated insights, ultimately improving patient outcomes and easing the burden on healthcare systems.” This study highlights the transformative potential of machine learning in medical diagnostics and emphasizes the importance of continued research to further optimize these technologies for clinical use..