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1.
Q J Nucl Med Mol Imaging ; 49(3): 259-66, 2005 Sep.
Article in English | MEDLINE | ID: mdl-16172572

ABSTRACT

AIM: To prospectively evaluate the impact of coregistered positron emission tomography (PET) and computed tomography (CT) in 3D conformal radiotherapy (3D-CRT) planning in patients with non-small lung cancer (NSCLC). METHODS: Twenty-one patients (median age: 57 years; range: 42-80 years) referred to 3D-CRT for NSCLC were recruited. Positron emission tomography with 18F-fluorodeoxyglucose ([18F]FDG-PET) and conventional CT images were coregistered (PET/CT images) using a commercial software package based on surface matching technique. Neoplastic areas were contoured on [18F]FDG-PET images with the aid of the correspondent CT image by a nuclear medicine physician. CT images and their relative PET contours were then transferred to treatment planning system. A radiation oncologist firstly contoured clinical target volumes (CTV) on CT scan alone (CTV-CT), and then on coregistered PET/CT images (CTV-PET/CT). CTV-CT and CTV-PET/CT were compared for each patient; a difference higher than 25% was considered of clinical relevance. RESULTS: Three patients were shifted to palliative radiotherapy for metastatic disease or very large tumor size, showed by [18F]FDG-PET. Of the remaining 18 patients a CTV change, after inclusion of PET/CT data, was observed in 10/18 cases (55%): larger in 7/18 (range 33-279%) and smaller in 3/18 patients (range 26-34%), mainly due to inclusion or exclusion of lymph-nodal disease and to better definition of tumor extent. CTV changes smaller than 25% occurred in the remaining 8/18 patients. CONCLUSIONS: [18F]FDG-PET and CT images co-registration in radiotherapy treatment planning led to a change in CTV definition in the majority of our patients, which may significantly modify management and radiation treatment modality in these patients.


Subject(s)
Carcinoma, Non-Small-Cell Lung/diagnosis , Fluorodeoxyglucose F18 , Image Enhancement/methods , Imaging, Three-Dimensional/methods , Lung Neoplasms/diagnosis , Positron-Emission Tomography/methods , Subtraction Technique , Tomography, X-Ray Computed/methods , Adult , Aged , Aged, 80 and over , Feasibility Studies , Female , Humans , Image Interpretation, Computer-Assisted/methods , Male , Middle Aged , Neoplasm Staging/methods , Radiopharmaceuticals , Reproducibility of Results , Sensitivity and Specificity
2.
Ann Biomed Eng ; 32(10): 1399-408, 2004 Oct.
Article in English | MEDLINE | ID: mdl-15535057

ABSTRACT

This work presents a method for CT and PET image registration, and multi-modal analysis, to optimize radiotherapy planning in lung cancer treatment. The method relies on an image registration technique based on fiducial external markers to realign, spatially, PET images with the CT spatial reference system. The method was set up for clinical use in radiotherapy, allowing minimal modifications to be introduced in the management of patients undergoing radiation treatment. The accuracy of the registration technique was evaluated on patient studies in terms of Target Registration Error and was found to be less than 6.40 mm. The method was applied in the treatment planning of five patients affected by non-small-cell lung cancer, revealing the usefulness of PET/CT integration in delineating the extension of both the tumor mass and the tissues involved in the neoplastic process. Moreover, the functional information provided by PET often led to alterations in the treatment planning, changing the size and/or direction of radiation portals. The proposed method for PET/CT integration has been confirmed as being useful for optimizing radiotherapy planning in lung cancer treatment.


Subject(s)
Image Enhancement/methods , Image Interpretation, Computer-Assisted/methods , Imaging, Three-Dimensional/methods , Lung Neoplasms/diagnosis , Lung Neoplasms/radiotherapy , Radiotherapy Planning, Computer-Assisted/methods , Subtraction Technique , Algorithms , Carcinoma, Non-Small-Cell Lung/diagnostic imaging , Carcinoma, Non-Small-Cell Lung/radiotherapy , Humans , Lung Neoplasms/diagnostic imaging , Pattern Recognition, Automated/methods , Positron-Emission Tomography/methods , Reproducibility of Results , Sensitivity and Specificity , Tomography, X-Ray Computed/methods
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