Abstract
Purpose. We evaluated the surgical risks associated with fibrocavernous pulmonary tuberculosis by retrospectively examining chest computed tomography (CT) scans. Methods. We reviewed the records of 40 patients who underwent pulmonary resection for fibrocavernous pulmonary tuberculosis, for whom preoperative CT scans were available. The disease was categorized as class I, defined as a cavity within one lobe without remarkable pleural thickness, in 21 patients; class II, defined as a cavity extending beyond one lobe or within one lobe with remarkable pleural thickness, in 10 patients; and class III, defined as bilateral cavities, in 9 patients. Four of the nine patients with bilateral cavities underwent bilateral pulmonary resection and five underwent unilateral pulmonary resection. The study parameters were intraoperative blood loss, operative time, hospital stay, major operative morbidity, and hospital death. Results. Intraoperative blood loss and operative time were significantly greater and hospital stay was significantly longer in patients with advanced disease (P = 0.046, P = 0.000, and P = 0.143, respectively). Major surgical morbidity mainly occurred in association with advanced disease (P = 0.028) at the following incidences: class I, 5%; class II, 30%; class III, 44.4%. Two hospital deaths occurred, both following bilateral pulmonary resection for class III disease, accounting for an overall 5% mortality rate. Conclusion. The surgical risks associated with fibrocavernous pulmonary tuberculosis were well correlated with anatomic involvement, according to the extent of cavitation and the severity of pleural thickness, as depicted by CT. Staged pulmonary resection or the combination of one-sided resection with other modalities is recommended for the treatment of bilateral cavities.
| Original language | English |
|---|---|
| Pages (from-to) | 204-208 |
| Number of pages | 5 |
| Journal | Surgery Today |
| Volume | 34 |
| Issue number | 3 |
| DOIs | |
| Publication status | Published - 2004 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
All Science Journal Classification (ASJC) codes
- Surgery
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