ʻO kahi haʻawina hou i kapa ʻia ʻo "Utilizing Pix-2-Pix GAN for Deep Learning-Based Whole-Body PSMA PET/CT Attenuation Correction" i paʻi ʻia ma ka Volume 15 o Oncotarget ma Mei 7, 2024.
ʻO ka hōʻike ʻana i ka radiation mai nā haʻawina PET / CT maʻi maʻi oncology he mea hopohopo. Ma kēia hoʻokolokolo hou, he hui o nā mea noiʻi me Kevin C. Ma, Esther Mena, Liza Lindenberg, Nathan S. Lay, Phillip Eclarinal, Deborah E. Citrin, Peter A. Pinto, Bradford J. Wood, William L. Dahut, James Ua hoʻokomo ʻo L. Gulley, Ravi A. Madan, Peter L. Choyke, Ismail Baris Turkbey, a me Stephanie A. Harmon mai ka National Cancer Institute ma National Institutes of Health i kahi mea hana akamai (AI). Ke manaʻo nei kēia mea hana e hana i nā kiʻi PET (AC-PET) i hoʻoponopono ʻia i ka attenuation mai nā kiʻi PET (NAC-PET) i hoʻoponopono ʻole ʻia, hiki ke hōʻemi i ka pono no nā scan CT haʻahaʻa.
"ʻO nā kiʻi PET i hana ʻia e Ai ka hiki ke hōʻemi i ka pono no ka hoʻoponopono ʻana i ka hoʻoponopono ʻana i ka CT scans ʻoiai e mālama ana i nā hōʻailona quantitative a me ka maikaʻi o ke kiʻi no nā maʻi maʻi maʻi prostate."
Nā Kaʻina Hana: Ua kūkulu ʻia kahi algorithm aʻo hohonu e pili ana i ka 2D Pix-2-Pix generative adversarial network (GAN) architecture ma muli o nā kiʻi AC-PET a me NAC-PET. ʻO ka 18F-DCFPyL PSMA (Prostate-specific membrane antigen) PET-CT haʻawina o 302 maʻi me ka prostate maʻi 'aʻai ua maheleia i ke aʻo, hōʻoia, a me ka ho'āʻo pūʻulu (n 183, 60, a me 59, pakahi). Ua hoʻomaʻamaʻa ʻia ke kumu hoʻohālike me ka hoʻohana ʻana i ʻelua mau hoʻolālā maʻamau: Standard Uptake Value (SUV) based a me SUV-NYUL based. Ua loiloi ʻia ka hoʻokō ʻana i ka nānā ʻana me ka normalized mean square error (NMSE), mean absolute error (MAE), structural similarity index (SSIM) a me ka peak signal-to-noise ratio (PSNR). Ua hana ke kauka lapaʻau nuklea i ka nānā ʻana i ka pae lesion o ka wahi hoihoi. Ua loiloi ʻia nā hōʻailona SUV me ka hoʻohana ʻana i ka coefficient correlation intra-group (ICC), coefficient repeatability (RC), a me nā hiʻohiʻona hopena hui pū.
Nā hualoaʻa：Ma ka hui ho'āʻo kūʻokoʻa, ʻo ka median NMSE, MAE, SSIM, a me PSNR he 13.26%, 3.59%, 0.891, a me 26.82. ʻO ka ICC no SUVmax a me SUVmean he 0.88 a me 0.89, e hōʻike ana i ka pilina ikaika ma waena o nā mea hoʻohālikelike kiʻi kumu a me AI. Ua ʻike ʻia nā mea e like me ka wahi lesion, density (Hounsfield units), a me ka lawe ʻana i ka lesion i ka hopena o ka hewa pili i nā metric SUV i hana ʻia (p <0.05 a pau).
"ʻO ka AC-PET i hana ʻia e ka Pix-2-Pix GAN model e hōʻike ana i nā metric SUV e pili pono ana me nā kiʻi kumu. ʻO nā kiʻi PET i hana ʻia e AI e hōʻike ana i ka hiki ke hoʻopōmaikaʻi ʻia no ka hōʻemi ʻana i ka pono o nā scans CT no ka hoʻoponopono ʻana i ka attenuation ʻoiai e mālama ana i nā māka nui a me ka maikaʻi o ke kiʻi.
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E like me kā mākou e ʻike ai, ʻaʻole hiki ke hoʻokaʻawale ʻia ka hoʻomohala ʻana o ka ʻoihana kiʻi lāʻau mai ka hoʻomohala ʻana i kahi ʻano o nā mea lapaʻau - nā mea hoʻokalakupua ʻokoʻa a me kā lākou mau mea hoʻohana kākoʻo - i hoʻohana nui ʻia i kēia kahua. Ma Kina, kahi kaulana no kāna ʻoihana hana, nui nā mea hana kaulana ma ka home a ma waho no ka hana ʻana i nā mea hana kiʻi lāʻau, me kaLnkMed. Mai kona hoʻokumu ʻana, ua hoʻomau ʻo LnkMed i ke kahua o nā injectors ʻokoʻa kiʻekiʻe. Alakaʻi ʻia ka hui ʻenekinia o LnkMed e kahi Ph.D. me ka ʻoi aku o ʻumi makahiki o ka ʻike a ua komo nui i ka noiʻi a me ka hoʻomohala ʻana. Ma lalo o kāna alakaʻi, ʻo kaCT hoʻokahi poʻo injector,CT pālua poʻo injector,MRI mea hoʻoheheʻe ʻokoʻa, aʻO ka angiography kiʻekiʻe-pressure contrast agent injectorua hoʻolālāʻia me kēia mau hiʻohiʻona: ke kino ikaika a paʻa, ka maʻalahi a me ka naʻauao o ka hana, nā hana piha, ka palekana kiʻekiʻe, a me ka hoʻolālā lōʻihi. Hiki iā mākou ke hāʻawi aku i nā syringes a me nā paipu i kūpono me kēlā mau inoa kaulana o CT,MRI,DSA injectors Me ko lākou ʻano ʻoiaʻiʻo a me ka ikaika ʻoihana, kono ʻoluʻolu nā limahana āpau o LnkMed iā ʻoe e hele mai e ʻimi i nā mākeke hou aʻe.
Ka manawa hoʻouna: Mei-14-2024
