A prospective study of PET/CT in initial staging of small-cell lung cancer: comparison with CT, bone scintigraphy and bone marrow analysis
Research output: Contribution to journal › Journal article › Research › peer-review
BACKGROUND: Small-cell lung cancer (SCLC) accounts for 15%-20% of all lung cancer cases. Accurate and fast staging is mandatory when choosing treatment, but current staging procedures are time consuming and lack sensitivity.
PATIENTS AND METHODS: A prospective study was designed to examine the role of combined positron emission tomography/computed tomography (PET/CT) compared with standard staging (CT, bone scintigraphy and immunocytochemical assessment of bone marrow biopsy) of patients with SCLC. Thirty-four consecutive patients were included. Twenty-nine patients received initial PET/CT.
RESULTS: PET/CT caused change of stage in 5/29 (17%). Excluding patients with unconfirmed findings or pleural effusion, the sensitivity for accurate staging of patients with extensive disease was the following: for standard staging 79%, PET 93% and PET/CT 93%. Specificity was 100%, 83% and 100%, respectively.
CONCLUSION: The results from this first study on PET/CT in SCLC indicates that PET/CT can simplify and perhaps even improve the accuracy of the current staging procedure in SCLC. A larger clinical trial, preferably with consequent histological confirmation in case of discordance, however, is warranted.
Original language | English |
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Journal | Annals of oncology : official journal of the European Society for Medical Oncology / ESMO |
Volume | 18 |
Issue number | 2 |
Pages (from-to) | 338-45 |
Number of pages | 8 |
ISSN | 0923-7534 |
DOIs | |
Publication status | Published - Feb 2007 |
- Aged, Bone Marrow, Bone Neoplasms, Carcinoma, Small Cell, Female, Fluorodeoxyglucose F18, Humans, Lung Neoplasms, Male, Middle Aged, Neoplasm Staging, Positron-Emission Tomography, Prospective Studies, Radiopharmaceuticals, Sensitivity and Specificity, Tomography, X-Ray Computed, Comparative Study, Journal Article
Research areas
ID: 167431633