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1.
J Pak Med Assoc ; 73(4): 922-924, 2023 Apr.
Article in English | MEDLINE | ID: mdl-37052017

ABSTRACT

Lymphangiomas, also known as lymphatic malformations, are rare non-neoplastic lesions of vascular origin showing lymphatic differentiation. These are most commonly reported in children within the neck and axillary region; however, mediastinum remains the commonest site in adults whereby diagnosis is usually incidental on imaging done for non-specific symptoms. Radiologically, these lesions are well-defined multicystic non-enhancing masses, with CT attenuation values ranging from simple to complex fluid and fat. Being benign, these mostly present clinically either due to mass effect exerted on structures, secondarily infected or developing intra lesion haemorrhage. We present a rare case of mediastinal lymphangioma with secondary hilar and intrapulmonary extension in a middle-aged female presenting with occasional haemoptysis and shortness of breath. The patient underwent thoracotomy with complete dissection of the mediastinal tumour, per operative Bleomycin administration in pulmonary component, and made subsequent uneventful post-operative recovery.


Subject(s)
Lymphangioma , Mediastinal Neoplasms , Middle Aged , Child , Humans , Adult , Female , Mediastinal Neoplasms/diagnostic imaging , Mediastinal Neoplasms/surgery , Lymphangioma/diagnostic imaging , Lymphangioma/surgery , Mediastinum/diagnostic imaging , Mediastinum/surgery , Tomography, X-Ray Computed , Neck
2.
J Coll Physicians Surg Pak ; 31(1): 14-20, 2021 Jan.
Article in English | MEDLINE | ID: mdl-33546527

ABSTRACT

OBJECTIVE:   To identify utility of chest computed tomography severity score (CT-SS) as an additional tool to COVID-19 pneumonia imaging classification in assessing severity of COVID-19. STUDY DESIGN: Descriptive analytical study Place and Duration of Study: Armed Forces Institute of Radiology and Imaging, (AFIRI) Rawalpindi, from April 2020 to June 2020. METHODOLOGY: Five hundred suspected COVID-19 cases referred for high resolution computed tomography - chest were included in the study. Cases were categorised by radiological findings using COVID-19 pneumonia imaging classification, proposed in the radiological society of North America expert consensus statement on reporting chest CT findings related to COVID-19. CT-SS was calculated for all scans. Patients were clinically classified according to disease severity as per 'Diagnosis And Treatment Program of Pneumonia of New Coronavirus Infection' recommended by China's National Health Commission. The relationships between radiological findings, CT-SS, and clinical severity were explored. RESULTS: Based on the radiological findings, 298 cases were graded as typical, 34 as indeterminate, 15 as atypical, and 153 as negative for pneumonia. The apical and posterior basal segments of lower lobes were most commonly involved. The CT-SS showed higher values in patients of severe group as compared to those in moderate group (p < 0.05). CT-SS threshold for recognising severe COVID-19 was 18.5 (area under curve, 0.960), with 84.3% sensitivity and 92.5% specificity. CONCLUSION: In coherence with COVID-19 pneumonia imaging classification, CT-SS may provide a comprehensive and objective assessment of COVID-19 severity. Key Words: COVID-19, COVID-19 pneumonia, CT-SS, High resolution computed tomography.


Subject(s)
COVID-19 , Lung/diagnostic imaging , Pneumonia, Viral/diagnostic imaging , Thorax/diagnostic imaging , Tomography, X-Ray Computed/methods , Adolescent , Adult , Aged , Aged, 80 and over , Child , Child, Preschool , Diagnostic Tests, Routine , Female , Humans , Infant , Infant, Newborn , Male , Middle Aged , Pakistan , Radiography, Thoracic/methods , Tertiary Healthcare , Young Adult
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