Clinical features, imaging characteristics, genetic investigation and histopathologic findings in a Chihuahua dog with Lafora disease

2021 ◽  
Author(s):  
Marika Menchetti ◽  
Lucia Antinori ◽  
Giulia Dalla Serra ◽  
Giovanna Bertolini ◽  
Marco Rosati
Keyword(s):  
Clinical Features ◽  
Lafora Disease ◽  
Genetic Investigation ◽  
Imaging Characteristics ◽  
Histopathologic Findings

scholarly journals Relationship between Clinical Features and Histopathologic Findings in Patients with Pulmonary Vein Stenosis

2019 ◽  
pp. 61-63 ◽  
Author(s):  
Y. Mykychak ◽  
D. Kozhokar ◽  
I. Yusifli ◽  
O. Yachnik ◽  
V. Zakharova ◽  
...  
Keyword(s):  
Pulmonary Vein ◽  
Clinical Features ◽  
Pulmonary Veins ◽  
Clinical Manifestations ◽  
Lung Parenchyma ◽  
Pulmonary Vein Stenosis ◽  
Pathophysiological Mechanism ◽  
Patient Groups ◽  
Vein Stenosis ◽  
Histopathologic Findings

Pulmonary vein stenosis (PVS) is a rare but serious condition characterized by obstruction of extrapulmonary segments of pulmonary veins which leads to progressive pulmonary hypertension. Objective. In this study we aimed to determine relationship between clinical features and histopathologic findings in patients with PVS. Material and methods. We retrospectively reviewed 34 consecutive patients who underwent PV stenosis repair. Surgical wedge biopsy specimens were collected intraoperatively in 11 patients and reviewed using light microscopy. Results. Affected pulmonary veins in patients with primary PVS were characterized by diffuse stenosis extending into the lung parenchyma. In post-surgical group stenosis was found in a limited segment of pulmonary vein at its ostium. Microscopically, abnormal intimal proliferation was identified in both patient groups. Scaring was predominant finding in patients with post-surgical PVS. Conclusion. In patients with PVS, pathophysiological mechanism influences the severity and extent of clinical manifestations. A comprehensive understanding of this mechanism may improve results of the treatment.

scholarly journals Intramuscular lipoma: a review of the literature

2014 ◽  
Vol 6 (4) ◽  
Author(s):  
Shane McTighe ◽  
Ivan Chernev
Keyword(s):  
Differential Diagnosis ◽  
Soft Tissue ◽  
Clinical Features ◽  
Common Type ◽  
Fatty Tissue ◽  
Review Of The Literature ◽  
Mesenchymal Tumors ◽  
Intramuscular Lipoma ◽  
Imaging Characteristics ◽  
Well Differentiated

Lipomas are the most common type of soft tissue mesenchymal tumors. They are typically located subcutaneously and consist of mature fatty tissue. When they occur under the enclosing fascia, they are called deep-seated lipomas. Infrequently, lipomas can arise inside the muscle and are called intramuscular lipomas. Intramuscular lipomas have been commonly investigated and categorized in the same group as other deep-seated and superficial lipomatous lesions. Their clinical, histological and imaging characteristics may resemble well-differentiated liposarcomas, further adding to the difficulties in the differential diagnosis. This article summarizes the available literature and describes the typical epidemiological, pathological and clinical features of intramuscular lipomas, as well as delineating their treatment and prognosis.

scholarly journals Discriminant Models for the Prediction of Viral Shedding Time and Disease Progression in COVID-19

2020 ◽  
Author(s):  
Wen Yang Li ◽  
Yuhao Guo ◽  
Xiaowei Zheng ◽  
Hongwen Zhao ◽  
Jian Kang ◽  
...  
Keyword(s):  
Disease Progression ◽  
Disease Severity ◽  
Clinical Features ◽  
Antiviral Treatment ◽  
Therapeutic Regimen ◽  
Predictive Values ◽  
Viral Shedding ◽  
Imaging Characteristics ◽  
Short Term Exposure ◽  
Discriminant Models

Abstract Background COVID-19 infection can cause life-threatening respiratory disease. This study aimed to fully characterize the clinical features associated with postponed viral shedding and disease progression, then develop and validate two prognostic discriminant models. Methods This study included 125 hospitalized patients with COVID-19. 44 parameters were recorded, including age, gender, underlying comorbidities, epidemic features, laboratory indexes, imaging characteristics and therapeutic regimen, et al. F-test and χ2 test were used for feature selection. All models were developed with 4-fold cross-validation, and the final performances of each model were compared by the Area Under Receiving Operating Curve (AUROC). After optimizing the parameters via L2 regularization, prognostic discriminant models were built to predict postponed viral shedding and disease progression of COVID-19 infection. The test set was then used to detect the predictive values via assessing models sensitivity and specificity. Results 69 patients had a postponed viral shedding time (> 14 days), and 28 of 125 patients progressed into severe cases. Eleven and six demographic, clinical features and therapeutic regimen were significantly associated with postponed viral shedding and disease progressing, respectively (p < 0.05). The optimal discriminant models are: y1 (postponed viral shedding) = -0.244 + 0.2829x1 (the interval from the onset of symptoms to antiviral treatment) + 0.2306x4 (age) + 0.234x28 (Urea) − 0.2847x34 (Dual-antiviral therapy) + 0.3084x38 (Treatment with antibiotics) + 0.3025x21 (Treatment with Methylprednisolone); y2 (disease progression) = -0.348–0.099x2 (interval from Jan 1st, 2020 to individualized onset of symptoms) + 0.0945x4 (age) + 0.1176x5 (imaging characteristics) + 0.0398x8 (short- term exposure to Wuhan) − 0.1646x19 (lymphocyte counts) + 0.0914x20 (neutrophil counts) + 0.1254x21 (neutrphil/lymphocyte ratio) + 0.1397x22 (C-Reactive Protein) + 0.0814x23 (Procalcitonin) + 0.1294x24 (Lactic dehydrogenase) + 0.1099x29 (Creatine kinase). The output ≥ 0 predicted postponed viral shedding or disease progressing to severe/critical state. These two models yielded the maximum AUROC, and faired best in terms of prognostic performance (sensitivity of 73.3%, 75%, and specificity of 78.6%, 75% for prediction of postponed viral shedding and disease severity, respectively). Conclusion The two discriminant models could effectively predict the postponed viral shedding and disease severity, and be used as early-warning tools for COVID-19.

Rib Trauma

2019 ◽  
pp. 37-39
Author(s):  
Michael O’Keeffe ◽  
Kiran Khursid ◽  
Peter L. Munk ◽  
Mihra S. Taljanovic
Keyword(s):  
Clinical Features ◽  
Blunt Chest Trauma ◽  
Flail Chest ◽  
Rib Fractures ◽  
Mechanism Of Injury ◽  
Respiratory Compromise ◽  
Common Cause ◽  
Imaging Characteristics ◽  
Life Threatening ◽  
Imaging Strategy

Chapter 6 on rib trauma reviews the mechanism of injury and clinical features, imaging strategy, imaging characteristics, and treatment of rib fractures. Blunt chest trauma is a common cause of rib injury. This injury can vary in severity and cause respiratory compromise. Ribs usually fracture at the point of impact or posteriorly, where their anatomy renders them structurally weakest. Most rib fractures are stable and are treated conservatively. Flail chest occurs when 3 or more contiguous ribs are fractured in 2 or more places, separating a segment that is free-floating and moves independently, and which may be associated with life-threatening situations.

scholarly journals Correlations between interictal extratemporal spikes and clinical features, imaging characteristics, and surgical outcomes in patients with mesial temporal lobe epilepsy

Seizure ◽  
2020 ◽  
Vol 82 ◽  
pp. 12-16
Author(s):  
Min Jae Seong ◽  
Seung Bong Hong ◽  
Dae-Won Seo ◽  
Eun yeon Joo ◽  
Seung Chyul Hong ◽  
...  
Keyword(s):  
Temporal Lobe Epilepsy ◽  
Clinical Features ◽  
Temporal Lobe ◽  
Surgical Outcomes ◽  
Mesial Temporal Lobe Epilepsy ◽  
Imaging Characteristics ◽  
Mesial Temporal Lobe

scholarly journals Imaging diagnosis of paranasal sinus mucocele in a Yorkshire Terrier dog

2021 ◽  
Author(s):  
D Noh ◽  
B Shin ◽  
HG Shin ◽  
K Lee
Keyword(s):  
Bacterial Culture ◽  
Poor Response ◽  
Pharmacological Therapy ◽  
Imaging Diagnosis ◽  
Cytologic Examination ◽  
Fluid Content ◽  
Imaging Characteristics ◽  
History Of ◽  
Histopathologic Findings ◽  
Yorkshire Terrier

An 8-year-old, neutered male Yorkshire Terrier dog presented with left ventromedial canthus swelling over a one-month period, refractory to pharmacological therapy. There was no history of trauma. On ultrasonography, the lesion had a cystic character filled with anechoic fluid and hyperechoic sedimenting debris. The computed tomography (CT) and CT-dacryocystography showed a cystic lesion protruding from the lacrimal sac fossa and occupying a defect in the orbital plate and an ethmoidal ectoturbinate surrounded by a bony structure with an intact nasolacrimal system. The dog underwent the surgical resection of the cyst and its fluid content was aspirated. Ethmoid mucocele was diagnosed based on the CT, cytologic examination, bacterial culture and histopathologic findings. This case describes the imaging characteristics of an ethmoid mucocele and highlights the importance of CT and CT-dacryocystography in dogs with ventromedial canthus swelling that had poor response to medical treatment.

Miscellaneous Tumors and Tumorlike Conditions

2019 ◽  
pp. 315-322
Author(s):  
John Meyer ◽  
Nabeel Anwar
Keyword(s):  
Differential Diagnosis ◽  
Clinical Features ◽  
The Body ◽  
Clinical Context ◽  
Short List ◽  
Imaging Characteristics ◽  
Musculoskeletal Lesions ◽  
Skeletal Lesions

Chapter 62 discusses miscellaneous tumors and tumorlike conditions. A number of commonly encountered primary benign and malignant skeletal lesions, including cystlike and lipomatous lesions, do not fall within the histological categories noted in other chapters. As with all subspecialties in radiology, taking the clinical context, such as patient’s age and symptoms, into account when interpreting a study is invaluable. The differential diagnosis for many musculoskeletal lesions can be narrowed down to a short list simply by considering the age of the patient and location of the lesion, both within the body and within an individual bone. Just as much attention should be directed to learning these clinical features as the imaging characteristics for each lesion.

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