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Nucl Med Mol Imaging，2013，40（5）：779-787 ［65］MENICHELLI C，CASAMASSIMA F，ARISTEI C，et al.
［53］BOANOVA L G，ALTMAYER S，WATTE G，et al. Detec⁃ Stereotactic radiotherapy for liver oligometastases［J］.
tion of liver lesions in colorectal cancer patients using Rep Pract Oncol Radiother，2022，27（1）：32-39
18
F⁃FDG PET/CT dual⁃time⁃point scan imaging［J］. Can⁃ ［66］YANG X，ZHAO W，TIAN X Z，et al. Application of PET⁃
cers，2023，15（22）：5403 LINAC in biology⁃guided radiotherapy［J］. Chin J Med In⁃
［54］MAO W J，ZHOU J，QIU L，et al. The added value of dual⁃ strum，2023，47（3）：237-241
18
time⁃point F⁃FDG PET/CT imaging in the diagnosis of ［67］CHAU B，ABUALI T，SHIRVANI S M，et al. Feasibility
colorectal cancer liver metastases［J］. Abdom Radiol， of biology⁃guided radiotherapy（BgRT）targeting fluorode⁃
2020，45（4）：1075-1081 oxyglucose（FDG）avid liver metastases［J］. Radiat Oncol，
［55］SUENAGA Y，KITAJIMA K，AOKI H，et al. Respiratory⁃ 2024，19（1）：124
18
gated F⁃FDG PET/CT for the diagnosis of liver metas⁃ ［68］CHOI R Y，COYNER A S，KALPATHY⁃CRAMER J，et
tasis［J］. Eur J Radiol，2013，82（10）：1696⁃1701 al. Introduction to machine learning，neural networks，and
［56］WATANABE S，HANAOKA K，KAIDA H，et al. Useful⁃ deep learning［J］. Transl Vis Sci Technol，2020，9（2）：14
ness of respiratory⁃gated PET acquisition during delayed ［69］RADIYA K，JOAKIMSEN H L，MIKALSEN K Ø，et al.
18
F⁃FDG PET/CT scanning for patients with liver metasta⁃ Performance and clinical applicability of machine learn⁃
ses［J］. Asia Ocean J Nucl Med Biol，2021，9（2）：142- ing in liver computed tomography imaging：a systematic
149 review［J］. Eur Radiol，2023，33（10）：6689-6717
［57］LIU E T，LYU Z J，YANG Y L，et al. Sub⁃minute acquisi⁃ ［70］CUI S N，TSENG H H，PAKELA J，et al. Introduction to
tion with deep learning⁃based image filter in the diagnosis machine and deep learning for medical physicists［J］.
18
of colorectal cancers using total⁃body F⁃FDG PET/CT［J］. Med Phys，2020，47（5）：127-147
EJNMMI Res，2023，13（1）：66 ［71］YAMADA A，KAMAGATA K，HIRATA K，et al. Clinical
3
［58］WANG D，JIANG C，HE J，et al. M S⁃Net：multi⁃modality applications of artificial intelligence in liver imaging［J］.
multi⁃branch multi⁃self⁃attention network with structure⁃ Radiol Med，2023，128（6）：655-667
promoting loss for low ⁃ dose PET/CT enhancement［J］. ［72］ROMPIANESI G，PEGORARO F，CERESA C D，et al. Arti⁃
Phys Med Biol，2024，69（2）：025001 ficial intelligence in the diagnosis and management of
［59］QI C，WANG S，YU H J，et al. An artificial intelligence⁃ colorectal cancer liver metastases［J］. World J Gastroen⁃
driven image quality assessment system for whole ⁃ body terol，2022，28（1）：108-122
F FDG PET/CT［J］. Eur J Nucl Med Mol Imaging，2023， ［73］CHEN C H，LU C，VISWANATHAN V，et al. Identifying
18
50（5）：1318-1328 primary tumor site of origin for liver metastases via a com⁃
［60］WANG L L，LYNCH C，PITRODA S P，et al. Radiotherapy bination of handcrafted and deep learning features［J］. J
and immunology［J］. J Exp Med，2024，221（7）： Pathol Clin Res，2024，10（1）：e344
e20232101 ［74］LYU P J，LI Z，CHEN Y，et al. Deep learning reconstruc⁃
［61］FRANZESE C，LOUIE A V，KOTECHA R，et al. Stereo⁃ tion CT for liver metastases：low⁃dose dual⁃energy vs. stan⁃
tactic body radiation therapy for liver metastases：system⁃ dard⁃dose single⁃energy［J］. Eur Radiol，2024，34（1）：
atic review and meta⁃analysis with international stereotac⁃ 28-38
tic radiosurgery society（ISRS）practice guidelines［J］. ［75］WEI L S，EL NAQA I. Artificial intelligence for response
Pract Radiat Oncol，2025，15（2）：e172-e188 evaluation with PET/CT［J］. Semin Nucl Med，2021，51
［62］RODRÍGUEZ M R，XIN C Z，HERNANDO O，et al. SBRT⁃ （2）：157-169
SG⁃01：final results of a prospective multicenter study on ［76］LUO Y Q，YANG Q Q，HU J L，et al. Preliminary study on
stereotactic body radiotherapy for liver metastases［J］. detection and diagnosis of focal liver lesions based on a
Clin Transl Oncol，2024，26（7）：1790-1797 deep learning model using multimodal PET/CT images［J］.
［63］PEZZULLA D，CHILOIRO G，LIMA E M，et al. Stereotac⁃ Eur J Radiol Open，2024，14：100624
tic radiotherapy for liver oligometastases：a pooled analysis ［77］LAM C S N，BHARWANI A A，CHAN E H Y，et al. A ma⁃
following the estro/eortc consensus recommendations［J］. chine learning model for colorectal liver metastasis post⁃
Clin Exp Metastasis，2024，41（5）：667-678 hepatectomy prognostications［J］. Hepatobiliary Surg Nutr，
［64］LUCIA F，WITHOFS N，LOVINFOSSE P，et al. PET/CT 2023，12（4）：495-506
in radiotherapy：indications and potential applications［J］. （收稿：2025-12-27；修回：2026-02-06；录用：2026-03-05）
Rev Med Liege，2024，79（S1）：84-99 （本文编辑：陈汐敏）