Prediction of lymph node metastases in NSCLC. Three dimensional anatomical parameters do not substitute FDG-PET-CT
Creators
- 1. Dept. of Clinical Radiology, Univ. of Muenster (Germany)
- 2. Dept. of Biomathematics and Statistics, Univ. of Muenster (Germany)
- 3. Dept. of Nuclear Medicine, Univ. of Muenster (Germany)
Description
Purpose: To distinguish between benign and malignant mediastinal lymph nodes in patients with NSCLC by comparing 2D and semiautomated 3D measurements in FDG-PET-CT. Patients, material, methods: FDG-PET-CT was performed in 46 patients prior to therapy. 299 mediastinal lymph-nodes were evaluated independently by two radiologists, both manually and by semi-automatic segmentation software. Longest-axial-diameter (LAD), shortest-axial-diameter (SAD), maximal-3D-diameter, elongation and volume were obtained. FDG-PET-CT and clinical/FDG-PET-CT follow up examinations and/or histology served as the reference standard. Statistical analysis encompassed intra-class-correlation-coefficients and receiver-operator-characteristics-curves (ROC). Results: The standard of reference revealed involvement in 87 (29%) of 299 lymph nodes. Manually and semi-automatically measured 2D parameters (LAD and SAD) showed a good correlation with mean intraclass coefficients of.80 and.72, respectively. Semi-automated prediction revealed the highest areas-under-the-ROC-curve for volume (.75, 95%Cl:.69-81) and SAD (.75, 95%Cl:.70-.81). AUC for LAD and maximal-3D diameter were about.68. Substantially lower accuracies were found for elongation (.57, 95%Cl:.50-.64). Conclusion: Optimized semi-automated three dimensional parameters by CT cannot approximate reported data on FDG-PET-CT for lymph node assessment in NSCLC. SAD remains the most accurate and at the same time simple to achieve anatomical criterion for definition of NSCLC target lesions. (orig.)
Additional details
Publishing Information
- Journal Title
- Nuklearmedizin
- Journal Volume
- 49
- Journal Issue
- 1
- Journal Page Range
- p. 41-48
- ISSN
- 0029-5566
- CODEN
- NUKLDV
INIS
- Country of Publication
- Germany
- Country of Input or Organization
- Germany
- INIS RN
- 41043438
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- AUTOMATION; CARCINOMAS; COMPUTERIZED TOMOGRAPHY; DIAGNOSIS; FLUORODEOXYGLUCOSE; LUNGS; LYMPH NODES; METASTASES; NEOPLASMS; PROTON COMPUTED TOMOGRAPHY; VOLUME
- Descriptors DEC
- ANTIMETABOLITES; BODY; COMPUTERIZED TOMOGRAPHY; DIAGNOSTIC TECHNIQUES; DISEASES; DRUGS; LYMPHATIC SYSTEM; NEOPLASMS; ORGANS; RESPIRATORY SYSTEM; TOMOGRAPHY