Brain metastasis in resected lung cancer: Value of intensive follow-up with computed tomography
| Autor: | Toshimoto Arai, Naoto Miyazawa, Kohei Yokoi |
|---|---|
| Rok vydání: | 1996 |
| Předmět: |
Male
Pulmonary and Respiratory Medicine medicine.medical_specialty Lung Neoplasms Asymptomatic Metastasis Lesion medicine Humans Prospective Studies Lung cancer Survival rate Aged Neoplasm Staging Aged 80 and over Brain Neoplasms business.industry Respiratory disease Middle Aged medicine.disease Survival Rate Female Surgery Radiology Neoplasm Recurrence Local medicine.symptom Tomography X-Ray Computed Cardiology and Cardiovascular Medicine business Complication Follow-Up Studies Brain metastasis |
| Zdroj: | The Annals of Thoracic Surgery. 61:546-551 |
| ISSN: | 0003-4975 |
| Popis: | Background. Brain metastases are a common mode of recurrence in resected lung cancer and are usually associated with an ominous outcome. Methods. To assess the usefulness of follow-up using computed tomography of the brain for early detection and effective treatment of brain metastases, we prospectively studied 128 patients with completely resected non—small cell lung cancer. Follow-up computed tomographic scans were obtained every 2 to 6 months over 24 postoperative months in 69 patients and every 2 months for 6 postoperative months in 59. Results. Brain metastases were discovered in 11 patients (8.6%), and 7 patients were neurologically asymptomatic when the metastases were diagnosed. Single metastasis was found in 5 patients and multiple metastases in 6. The maximal size of all but one lesion was less than 25 mm. The median survival time and 5-year survival rate in all 11 patients with brain metastases were 10 months and 24%, respectively. Furthermore, those in 7 asymptomatic patients were 25 months and 38%, respectively. Conclusions. We consider intensive follow-up with computed tomography to be worthwhile for early detection and effective treatment of brain metastases in patients with completely resected lung cancer. |
| Databáze: | OpenAIRE |
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