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1.
Chest ; 148(5): 1156-1163, 2015 Nov.
Article in English | MEDLINE | ID: mdl-26020453

ABSTRACT

BACKGROUND: Inhalation/smoking has become the most common method of recreational opiate consumption in the United Kingdom and other countries. Although some heroin smokers appear to develop COPD, little is known about the association. METHODS: We present data from a cohort of 73 heroin smokers with clinician-diagnosed and spirometrically confirmed COPD, seen within our clinical service, where symptoms developed before the age of 40 years. RESULTS: The whole group mean age at diagnosis was 41 years, subjects had smoked heroin for 14 years, and mean FEV1 was 1.08 L (31.5% predicted), with mean FEV1/FVC of 0.4. No subject was found to have severe α1-antitrypsin deficiency. Forty-four subjects had either a high-resolution CT (HRCT) scan (32) or measurement of lung diffusion (12). Overall HRCT scan emphysema score averaged across the upper, middle, and lower part of the lung was 2.3 (5%-25% emphysema), with 47% subjects having an upper lobe emphysema score ≥ 3 (25%-50% emphysema). Median diffusing capacity of the lung for carbon monoxide was 48% of predicted value. CONCLUSIONS: Recreational smoking of heroin appears to lead to early onset COPD with a predominant emphysema phenotype. This message is important to both clinicians and the public, and targeted screening and education of this high-risk population may be justified.


Subject(s)
Heroin/adverse effects , Pulmonary Emphysema/chemically induced , Substance-Related Disorders/complications , Administration, Inhalation , Adult , Female , Follow-Up Studies , Forced Expiratory Volume , Heroin/administration & dosage , Humans , Male , Narcotics/administration & dosage , Narcotics/adverse effects , Pulmonary Emphysema/diagnosis , Pulmonary Emphysema/physiopathology , Retrospective Studies , Risk Factors , Severity of Illness Index , Substance-Related Disorders/diagnosis , Substance-Related Disorders/physiopathology , Time Factors , Tomography, X-Ray Computed
2.
Respir Med ; 103(3): 449-55, 2009 Mar.
Article in English | MEDLINE | ID: mdl-18977128

ABSTRACT

INTRODUCTION: The primary aim of this study was to evaluate the ability of radiologists to accurately estimate pneumothorax and pulmonary haemorrhage during percutaneous co-axial cutting needle CT-guided lung biopsy. METHODOLOGY: Patients undergoing cutting needle lung biopsy during the study period were identified; the path taken by the cutting needle marked on each pre-biopsy staging CT scan. Each scan was then reviewed independently by two thoracic radiologists blinded to clinical details and complications; pneumothorax and pulmonary haemorrhage risk estimated with a percentage Visual Analogue Scale. RESULTS: In 134 patients, pneumothorax occurred in 24%. The radiologists differed in the estimation of pneumothorax risk in 55% (74 episodes). When pneumothorax risk was estimated <20% by radiologists 1 and 2, 16% and 14% of biopsies resulted in pneumothorax; where risk was estimated at 20-49%, pneumothorax incidence rose to 33% and 31%; where risk was deemed > or =50%, pneumothorax rate was 87% and 100%. Pulmonary haemorrhage occurred in 4%; estimated haemorrhage risk for biopsies complicated by haemorrhage did not differ significantly from where haemorrhage did not occur. CONCLUSION: Radiologists differ markedly in the estimation of pneumothorax risk for a patient undergoing co-axial lung biopsy. Identifying individual patients developing pneumothorax was only possible when risk was estimated at > or =50%. Pulmonary haemorrhage was uncommon and difficult to predict accurately.


Subject(s)
Biopsy, Needle/adverse effects , Hemoptysis/etiology , Lung/pathology , Pneumothorax/etiology , Aged , Biopsy, Needle/methods , Female , Hemoptysis/diagnostic imaging , Humans , Lung/diagnostic imaging , Lung Neoplasms/diagnostic imaging , Lung Neoplasms/pathology , Male , Middle Aged , Pneumothorax/diagnostic imaging , Radiography, Interventional/methods , Risk Assessment/methods , Tomography, X-Ray Computed/methods
3.
Radiographics ; 22(6): 1369-84, 2002.
Article in English | MEDLINE | ID: mdl-12432108

ABSTRACT

Certain pathologic conditions have classic radiologic manifestations that resemble various types of food. These "food signs" are highly memorable and easily recognizable and include findings that resemble various fruits and vegetables; meat, fish, and egg dishes; pasta, rice, grains, and bread (carbohydrates); desserts, cakes, and candy; and dishes, cutlery, condiments, and so on. It is important that radiologists recognize these classic signs, which will allow confident diagnosis on the basis of imaging findings alone or narrowing of the differential diagnosis.


Subject(s)
Diagnostic Imaging , Pattern Recognition, Automated , Diagnosis, Differential , Humans
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