2023
DOI: 10.1016/j.radonc.2023.109840
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Assessment of dual-energy computed tomography derived virtual monoenergetic imaging for target volume delineation of brain metastases

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Cited by 5 publications
(3 citation statements)
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“…Therefore, the difference of 100 HU in dense material can cause dose errors of about 1%. Previous investigators demonstrated that the VMIs at lower energy (63 keV) could increase the HU value of contrast-enhanced agent and improves objective and subjective image quality compared with the SECT images [ 25 ]. Although the higher image quality may reduce the variability of target delineation depending on the radiation oncologist, but the accuracy of HU calculation might be degraded [ 7 ].…”
Section: Discussionmentioning
confidence: 99%
“…Therefore, the difference of 100 HU in dense material can cause dose errors of about 1%. Previous investigators demonstrated that the VMIs at lower energy (63 keV) could increase the HU value of contrast-enhanced agent and improves objective and subjective image quality compared with the SECT images [ 25 ]. Although the higher image quality may reduce the variability of target delineation depending on the radiation oncologist, but the accuracy of HU calculation might be degraded [ 7 ].…”
Section: Discussionmentioning
confidence: 99%
“…Kraft et al. ( 17 ) further compared the differences between 63 keV reconstructed VMI and 120 kV CT in BM imaging and confirmed that the image quality of VMI was significantly better than that of conventional CT, which could improve the reliability and accuracy of GTV determination in BMs.…”
Section: Advances In Gtv Determination Of Bms Based On Multimodal Ima...mentioning
confidence: 97%
“…DECT is a promising CT acquisition technique and has been proven to be advantageous in RT [23] , [24] , [25] , [26] , [27] , both for delineation [28] , [29] and dose calculation [30] , [31] , [32] , [33] , [34] . However, the clinical transition from conventional CT to DECT is not only a simple change of scan protocols, but it impacts the entire RT chain from delineation and treatment planning to image registration at the treatment machine before dose delivery.…”
mentioning
confidence: 99%