Thorakale inflammatorische Pseudotumoren

Autor: J. Schirren, L. Schreiner, N Baldes, A. Fisseler-Eckhoff, M. Schirren, S. Sponholz
Rok vydání: 2018
Předmět:
Zdroj: Der Chirurg. 89:296-301
ISSN: 1433-0385
0009-4722
DOI: 10.1007/s00104-017-0581-2
Popis: Background Inflammatory pseudotumors are a rare and in the main benign tumor entity but infiltrative growth, recurrence and metastases are described. Generally, a complete resection is needed to exclude lung cancer. This study analyzed our data and experiences with this rare tumor entity. Material and methods We performed a retrospective study of all our patients who had been operated on between 2002 and 2016 in our institution for an inflammatory pseudotumor of the lungs. The extent of resection, morbidity, mortality and long-term results were analyzed. Results Altogether, in this period 13 patients were operatively treated (5 women and 8 men). The median age was 52 years (range 34-74 years). A reoperation was carried out in one patient for recurrence after enucleation of the tumor in another hospital. In no case could lung cancer be excluded prior to complete resection. In total, 11 pulmonary, 1 tracheal and 1 chest wall pseudotumor could be resected by thoracotomy (9×) and thoracoscopy (3×) and 1 by ventral chest wall resection. In eight patients the resections were performed by standard resection (wedge resection or anatomic resection) and five times by extended resection. In all cases a R0 resection was achieved. Due to one case of postoperative pneumonia the morbidity and mortality rates were 7.7% and 0%, respectively. Conclusion The differential diagnosis between inflammatory pseudotumors and lung cancer cannot be definitely made preoperatively. For an exact diagnosis by the pathologist a complete histological preparation is needed. Due to infiltrative growth and recurrence, extended resection can be necessary for a R0 resection. This can be achieved with low morbidity and mortality. Important is an en bloc R0 resection, which is associated with good long-term results.
Databáze: OpenAIRE
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