TY - JOUR
T1 - Application of a smart [18F] FDG-PET adaptive threshold segmentation algorithm for the biological target volume delineation in head and neck cancer
AU - Deantonio, Letizia
AU - Vigna, Luca
AU - Paolini, Marina
AU - Matheoud, Roberta
AU - Sacchetti, Gian Mauro
AU - Masini, Laura
AU - Loi, Gianfranco
AU - Brambilla, Marco
AU - KRENGLI, Marco
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Background: The aim of the present study is to evaluate the reliability of a 18F-Fluorodeoxyglucose ([18F]FDG) PET adaptive threshold segmentation (ATS) algorithm, previously validated in a preclinical setting on several scanners, for the biological target volume (BTV) delineation of head and neck radiotherapy planning. Methods: [18F]FDG PET ATS algorithm was studied in treatment plans of head and neck squamous cell carcinoma on a dedicated workstation (iTaRT, Tecnologie Avanzate, Italy). BTVs segmented by the present ATS algorithm (BTVATS) were compared with those manually segmented for the original radiotherapy treatment planning (BTVVIS). We performed a qualitative and quantitative volumetric analysis with a comparison tool within the ImSimQA TM software package (Oncology Systems Limited, UK -OSL, www.imismqa.com-). We reported figures of merit (FOMs) to convey complementary information: Dice Similarity Coefficient, Sensitivity Index, and Inclusiveness Index. Results: The study was conducted on 32 treatment plans. Median BTVATS was 11 cm3 while median BTVVIS was 14 cm3. The median Dice Similarity Coefficient, Sensitivity Index, Inclusiveness Index were 0.72, 63%, 88%, respectively. Interestingly, the median volume and the median distance of the voxels that are over contoured by ATS were respectively 1 cm3 and 1 mm. Conclusions: ATS algorithm could be a smart and an independent operator tool when implemented for [18F] FDG-PET-based tumour volume delineation. Furthermore, it might be relevant in case of BTV-based dose painting.
AB - Background: The aim of the present study is to evaluate the reliability of a 18F-Fluorodeoxyglucose ([18F]FDG) PET adaptive threshold segmentation (ATS) algorithm, previously validated in a preclinical setting on several scanners, for the biological target volume (BTV) delineation of head and neck radiotherapy planning. Methods: [18F]FDG PET ATS algorithm was studied in treatment plans of head and neck squamous cell carcinoma on a dedicated workstation (iTaRT, Tecnologie Avanzate, Italy). BTVs segmented by the present ATS algorithm (BTVATS) were compared with those manually segmented for the original radiotherapy treatment planning (BTVVIS). We performed a qualitative and quantitative volumetric analysis with a comparison tool within the ImSimQA TM software package (Oncology Systems Limited, UK -OSL, www.imismqa.com-). We reported figures of merit (FOMs) to convey complementary information: Dice Similarity Coefficient, Sensitivity Index, and Inclusiveness Index. Results: The study was conducted on 32 treatment plans. Median BTVATS was 11 cm3 while median BTVVIS was 14 cm3. The median Dice Similarity Coefficient, Sensitivity Index, Inclusiveness Index were 0.72, 63%, 88%, respectively. Interestingly, the median volume and the median distance of the voxels that are over contoured by ATS were respectively 1 cm3 and 1 mm. Conclusions: ATS algorithm could be a smart and an independent operator tool when implemented for [18F] FDG-PET-based tumour volume delineation. Furthermore, it might be relevant in case of BTV-based dose painting.
UR - https://iris.uniupo.it/handle/11579/138456
U2 - 10.23736/S1824-4785.22.03405-7
DO - 10.23736/S1824-4785.22.03405-7
M3 - Article
SN - 1827-1936
JO - THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
JF - THE QUARTERLY JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING
ER -
