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第46卷第7期     黄润楸,徐飞佳,刘育宏,等. 从结构化分级到智能分级:人工智能与ACR⁃RADS融合的研究进展[J].
                  2026年7月                     南京医科大学学报(自然科学版),2026,46(7):1083-1091                      ·1089 ·


               [10]ABDEL RAZEK A A K,EL⁃SEROUGY L G,SALEH G      [21]REINHOLD C,ROCKALL A,SADOWSKI E A,et al.
                    A,et al. Reproducibility of LI⁃RADS treatment response  Ovarian⁃adnexal reporting lexicon for MRI:a white paper
                    algorithm for hepatocellular carcinoma after locoregional  of the ACR ovarian ⁃ adnexal reporting and data systems
                    therapy[J]. Diagn Interv Imaging,2020,101(9):547-  MRI committee[J]. J Am Coll Radiol,2021,18(5):713-
                    553                                                729
               [11]MULÉ S,RONOT M,GHOSN M,et al. Automated CT LI⁃  [22]HOANG J K,MIDDLETON W D,TESSLER F N. Update
                    RADS v2018 scoring of liver observations using machine  on ACR TI⁃RADS:successes,challenges,and future di⁃
                    learning:a multivendor,multicentre retrospective study[J].  rections,from the AJR special series on radiology report⁃
                    JHEP Rep,2023,5(10):100857                         ing and data systems[J]. AJR Am J Roentgenol,2021,
               [12]GALGANO S J,SMITH E N. LI⁃RADS version 2018 for     216(3):570-578
                    MRI and CT:interreader agreement in real⁃world prac⁃  [23]TESSLER F N,MIDDLETON W D,GRANT E G,et al.
                    tice[J]. Radiology,2023,307(5):e231212             ACR thyroid imaging,reporting and data system(TI ⁃
               [13]SHUKLA⁃DAVE A,OBUCHOWSKI N A,CHENEVERT              RADS):white paper of the ACR TI⁃RADS committee[J].
                    T L,et al. Quantitative imaging biomarkers alliance(QI⁃  J Am Coll Radiol,2017,14(5):587-595
                    BA)recommendations for improved precision of DWI and  [24]WEINREB J C,BARENTSZ J O,CHOYKE P L,et al. PI⁃
                    DCE⁃MRI derived biomarkers in multicenter oncology tri⁃  RADS prostate imaging – reporting and data system:
                    als[J]. J Magn Reson Imaging,2019,49(7):e101-e121  2015,version 2[J]. Eur Urol,2016,69(1):16-40
               [14]WANG C D,SHAO J,HE Y C,et al. Data ⁃ driven risk  [25]AGRAWAL R,AHUJA J,STRANGE C D,et al. Lung ⁃
                    stratification and precision management of pulmonary  RADS v2022 update[J]. Radiol Clin North Am,2025,63
                    nodules detected on chest computed tomography[J]. Nat  (4):507-516
                    Med,2024,30(11):3184-3195                    [26]SCHIMA W,KOPF H,EISENHUBER E. LI⁃RADS made
               [15]YANG D D,LEE L K,TSUI J M G,et al. AI⁃derived tu⁃   easy[J]. Rofo,2023,195(6):486-494
                    mor volume from multiparametric MRI and outcomes in  [27]TESSLER F N,MIDDLETON W D,GRANT E G. Thyroid
                    localized prostate cancer[J]. Radiology,2024,313(1):  imaging reporting and data system(TI⁃RADS):a user’s
                    e240041                                            guide[J]. Radiology,2018,287(1):29-36
               [16]陈    敏. 智能赋影,融合创新:人工智能时代下医学影                  [28]GHASEMI A,AHLAWAT S. Bone reporting and data sys⁃
                    像学科的发展与展望[J]. 中国医学影像学杂志,2026,                      tem(bone⁃RADS)and other proposed practice guidelines
                    34(1):1-2                                          for reporting bone tumors[J]. Rofo,2024,196(11):
                    CHEN M. Intelligent imaging empowerment and integra⁃  1134-1142
                    tive innovation:development and prospects of the medical  [29]CURY R C,LEIPSIC J,ABBARA S,et al. CAD⁃RADS  TM
                    imaging discipline in the era of artificial intelligence[J].  2.0⁃2022 coronary artery disease⁃reporting and data sys⁃
                    Chinese Journal of Medical Imaging,2026,34(1):1-2  tem an expert consensus document of the society of cardio⁃
               [17]YAN B,PEI M T,ZHAO M,et al. Prior guided transformer  vascular computed tomography(SCCT),the American col⁃
                    for accurate radiology reports generation[J]. IEEE J  lege of cardiology(ACC),the American college of radiolo⁃
                    Biomed Health Inform,2022,26(11):5631-5640         gy(ACR)and the North America society of cardiovascular
               [18]BHAYANA R. Chatbots and large language models in ra⁃  imaging(NASCI)[J]. Radiol Cardiothorac Imag,2022,4
                    diology:a practical primer for clinical and research appli⁃  (5):e220183
                    cations[J]. Radiology,2024,310(1):e232756    [30]YEE J,DACHMAN A,KIM D H,et al. CT colonography
               [19]刘再毅,赵致禾,石镇维. 医学影像大模型:肿瘤精准诊                          reporting and data system(C⁃RADS):version 2023 up⁃
                    疗的范式革新[J]. 协和医学杂志,2025,16(4):805-                  date[J]. Radiology,2024,310(1):e232007
                    811                                          [31]乔    敏,冯尚勇,沈德娟,等. 中国甲状腺影像报告和数
                    LIU Z Y,ZHAO Z H,SHI Z W. Large medical imaging    据系统对甲状腺结节良恶性的鉴别诊断[J]. 中国医学
                    models:a paradigm innovation for precision diagnosis and  影像学杂志,2021,29(11):1070-1075
                    treatment of tumors[J]. Medical Journal of Peking Union  QIAO M,FENG S Y,SHEN D J,et al. Differential diagno⁃
                    Medical College Hospital,2025,16(4):805-811        sis of benign and malignant thyroid nodules using the Chi⁃
               [20]AIKEN A H,RATH T J,ANZAI Y,et al. ACR neck imag⁃    nese Thyroid Imaging Reporting and Data System[J]. Chi⁃
                    ing reporting and data systems(NI⁃RADS):a white paper  nese Journal of Medical Imaging,2021,29(11):1070-
                    of the ACR NI⁃RADS committee[J]. J Am Coll Radiol,  1075
                    2018,15(8):1097-1108                         [32]KAHN C E Jr,LANGLOTZ C P,BURNSIDE E S,et al.
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