Suppr超能文献

[Superior vena cava syndrome: a study based on 81 cases].

作者信息

Laguna Del Estal P, Gazapo Navarro T, Murillas Angoitti J, Martín Alvarez H, Portero Navío J L, Moya Mir M

机构信息

Departamento de Medicina, Clínica Puerta de Hierro, Universidad Autónoma, Madrid.

出版信息

An Med Interna. 1998 Sep;15(9):470-5.

Abstract

BACKGROUND

Characterize the etiology, clinical picture, radiographic findings, usefulness of several diagnostic studies in establishing an etiologic diagnosis, and outcome after treatment of superior vena cava syndrome (SVCS).

METHODS

We reviewed the charts of all patients diagnosed of SVCS in our hospital between the years 1983 and 1996.

RESULTS

Eighty-one patients (70 male, 11 female) with an average age of 61 years were included in the study. In 77 (95%) patients a neoplastic cause was diagnosed, mainly lung cancer (76%). The most common clinical findings were: feeling of fullness in the head (81%), edema of the face and arms (78%), jugular venous distention (75%), prominent venous pattern over the chest wall (73%), dyspnea (59%), and cough (37%). The average length of time from the onset of symptoms to the date of diagnosis was 28 days. The chest x-ray was abnormal in 78 (96%) cases: mediastinal widening (51%) and right hilar mass (48%) were the most common findings. The diagnosis of SVCS was evident (from clinical picture and chest roentgenogram) in 76 (94%) patients. In SVCS due to malignancy, the most productive investigations in establishing a pathologic diagnosis were bronchoscopy (54%) and biopsy of a superficial lymph node (18%). Partial or complete clinical response to treatment was achieved in seventy percent of the cases.

CONCLUSIONS

SVCS is an uncommon entity and his most frequent cause is bronchogenic carcinoma. The characteristic clinical and radiographic findings allow to do a reliable diagnosis of the syndrome. Initially, clinical response (partial or complete) to treatment is achieved in most patients.

摘要

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验