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  • Title: FDG-PET provides the best correlation with the tumor specimen compared to MRI and CT in rectal cancer.
    Author: Buijsen J, van den Bogaard J, Janssen MH, Bakers FC, Engelsman S, Öllers M, Beets-Tan RG, Nap M, Beets GL, Lambin P, Lammering G.
    Journal: Radiother Oncol; 2011 Feb; 98(2):270-6. PubMed ID: 21295874.
    Abstract:
    PURPOSE: To compare CT-, MR- and PET-CT based tumor length measurements in rectal cancer with pathology. PATIENTS AND METHODS: Twenty-six rectal cancer patients underwent both MR and PET-CT imaging followed by short-course radiotherapy (RT 5×5 Gy) and surgery within 3 days after RT. Tumor length was measured manually and independently by 2 observers on CT, MR and PET. PET-based tumor length measurements were also generated automatically using the signal-to-background-ratio (SBR) method. All measurements were correlated with the tumor length on the pathological specimen. RESULTS: CT-based measurements did not show a valuable correlation with pathology. MR-based measurements correlated only weakly, but still significantly (Pearson correlation=0.55 resp. 0.57; p<0.001). Manual PET measurements reached a good correlation with pathology, but less strong (Pearson correlation 0.72 and 0.76 for the two different observers) than automatic PET-CT based measurements, which provided the best correlation with pathology (Pearson correlation of 0.91 (p<0.001)). Bland-Altman analysis demonstrated in general an overestimation of the tumor diameter using manual measurements, while the agreement of automatic contours and pathology was within acceptable ranges. A direct comparison of the different modalities revealed a significant better precision for PET-based auto-contours as compared to all other measurements. CONCLUSION: Automatically generated PET-CT based contours show the best correlation with the surgical specimen and thus provide a useful and powerful tool to accurately determine the largest tumor dimension in rectal cancer. This could be used as a quick and reliable tool for target delineation in radiotherapy. However, a 3D volume analysis is needed to confirm these results.
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