Evidence map›Paper›PMID 33194606›Full record

ArticleFrontiers in oncology2020

A Formula to Calculate the Threshold for Radiotherapy Targets on PET Images: Simulation Study.

Jianhua Geng, Fei Luo, Jiahe Tian, Jinming Zhang, Xiaojun Zhang, Baolin Qu, Yingmao Chen

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Article in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Jianhua GengDepartment of Nuclear Medicine, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Fei LuoDepartment of Radiation Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jiahe TianDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Jinming ZhangDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Xiaojun ZhangDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.
Baolin QuDepartment of Radiotherapy, Chinese PLA General Hospital, Beijing, China.
Yingmao ChenDepartment of Nuclear Medicine, Chinese PLA General Hospital, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPositron emission tomography (PET) images are being applied for defining radiotherapy targets. However, a recognized method for defining radiotherapy targets is lacking. We investigate the threshold to outline the radiotherapy target of a tumor on PET images and its influencing factors, and then expressed it by formula.

methodsPET imaging for spherical tumors with a different tumor diameter (D), under different system resolutions [full width at half maximum (FWHM)], in different backgrounds with different pixel sizes, was simulated. PET images were analyzed to determine the relationship between the threshold and the factors mentioned above. Finally, the simulation results were verified by phantom experiments.

resultsThe threshold decreased sharply with D for D < 2 FWHM, reached the minimum of 31% at D = 2 FWHM and then increased slowly, and it tended to constant for D > 8 FWHM. The threshold decreased with FWHM for FWHM < D/2, reached a minimum at FWHM = D/2, and then increased. The threshold increased with pixel size for D ≤ FWHM and decreased for D > FWHM. The threshold was independent of the background. The relationship between the threshold and its influencing factors was expressed as a formula. The results of the phantom verification indicated that the error of the target volume delineation that was calculated by the formula was less than 9%.

conclusionsThe threshold changes with tumor size, resolution of the PET system and pixel size according to certain rules. The formula to calculate the threshold could provide a method to estimate threshold to outline the radiotherapy target (tumor).

Indexed as

imagingphantompositron-emission tomographyradiotherapythreshold

Identifiers

PMID33194606
PMCPMC7609888

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