Impact of 18F-FDG PET/MR based tumor delineation in radiotherapy planning for cholangiocarcinoma.

Autor: Delaby, Gauthier, Ataeinia, Bahar, Wo, Jennifer, Catalano, Onofrio Antonio, Heidari, Pedram
Předmět:
Zdroj: Abdominal Radiology; Aug2021, Vol. 46 Issue 8, p3908-3916, 9p
Abstrakt: Purpose: Radiation therapy (RT) is an effective treatment for unresectable cholangiocarcinoma (CC). Accurate tumor volume delineation is critical in achieving high rates of local control while minimizing treatment-related toxicity. This study compares 18F-FDG PET/MR to MR and CT for target volume delineation for RT planning. Methods: We retrospectively included 22 patients with newly diagnosed unresectable primary CC who underwent 18F-FDG PET/MR for initial staging. Gross tumor volume (GTV) of the primary mass (GTVM) and lymph nodes (GTVLN) were contoured on CT images, MR images, and PET/MR fused images and compared among modalities. The dice similarity coefficient (DSC) was calculated to assess spatial coverage between different modalities. Results: GTVMPET/MR (median: 94 ml, range 16–655 ml) was significantly greater than GTVMMR (69 ml, 11–635 ml) (p = 0.0001) and GTVMCT (96 ml, 4–564 ml) (p = 0.035). There was no significant difference between GTVMCT and GTVMMR (p = 0.078). Subgroup analysis of intrahepatic and extrahepatic tumors showed that the median GTVMPET/MR was significantly greater than GTVMMR in both groups (117.5 ml, 22–655 ml vs. 102.5 ml, 22–635 ml, p = 0.004 and 37 ml, 16–303 ml vs. 34 ml, 11–207 ml, p = 0.042, respectively). The GTVLNPET/MR (8.5 ml, 1–27 ml) was significantly higher than GTVLNCT (5 ml, 4–16 ml) (p = 0.026). GTVPET/MR had the highest similarity to the GTVMR, i.e., DSCPET/MR-MR (0.82, 0.25–1.00), compared to DSC PET/MR-CT of 0.58 (0.22–0.87) and DSCMR-CT of 0.58 (0.03–0.83). Conclusion: 18F-FDG PET/MR-based CC delineation yields greater GTVs and detected a higher number of positive lymph nodes compared to CT or MR, potentially improving RT planning by reducing the risk of geographic misses. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index