[1] Gao M, Hao Y, Huang MX, et al. Salivary gland tumours in a northern Chinese population: a 50-year retrospective study of 7190 cases[J]. Int J Oral Maxillofac Surg, 2017, 46(3): 343-349. [2] David E, Cantisani V, De Vincentiis M, et al. Contrast-enhanced ultrasound in the evaluation of parotid gland lesions: an update of the literature[J]. Ultrasound, 2016, 24(2): 104-110. [3] Maraghelli D, Pietragalla M, Cordopatri C, et al. Magnetic resonance imaging of salivary gland tumours: Key findings for imaging characterisation[J]. Eur J Radiol, 2021, 139: 109716. [4] Faur AC, Buzaş R, Lăzărescu AE, et al. Current developments in diagnosis of salivary gland tumors: From structure to artificial intelligence[J]. Life (Basel), 2024, 14(6): 727. [5] Rzepakowska A, Osuch-Wójcikiewicz E, Sobol M, et al. The differential diagnosis of parotid gland tumors with high-resolution ultrasound in otolaryngological practice[J]. Eur Arch Otorhinolaryngol, 2017, 274(8): 3231-3240. [6] Gabelloni M, Faggioni L, Attanasio S, et al. Can magnetic resonance radiomics analysis discriminate parotid gland tumors? A pilot study[J]. Diagnostics (Basel), 2020, 10(11): 900. [7] Wakonig KM, Lerchbaumer MH, Dommerich S, et al. Assessment of parotid gland tumors by means of quantitative multiparametric ultrasound (mpUS)[J]. Diagnostics (Basel), 2022, 13(1): 12. [8] 韩明丽,王栋华,史秋生,等.基于超声特征的评分法在腮腺Warthin瘤与混合瘤鉴别诊断中的应用研究[J].中国临床医学影像杂志,2020,31(6): 385-389. [9] He Y, Zheng B, Peng W, et al. An ultrasound-based ensemble machine learning model for the preoperative classification of pleomorphic adenoma and Warthin tumor in the parotid gland[J]. Eur Radiol, 2024, 34(10): 6862-6876. [10] Nakaguro M. Diagnostic clues and pitfalls in salivary gland fine-needle aspiration cytology[J]. Semin Diagn Pathol, 2024, 41(4): 207-211. [11] Guiban O, Rubini A, Fresilli D, et al. Preoperative multiparametric ultrasound and fine needle aspiration cytology evaluation of parotid gland tumors: which is the best technique?[J]. Med Ultrason, 2021, 23(4): 402-409. [12] Jiang T, Chen C, Zhou Y, et al. Deep learning-assisted diagnosis of benign and malignant parotid tumors based on ultrasound: a retrospective study[J]. BMC Cancer, 2024, 24(1): 510. [13] Heman J, Sedláková Z, Vachutka J, et al. Differential diagnosis of parotid gland tumors: Role of shear wave elastography[J]. Biomed Res Int, 2017, 2017: 9234672. [14] Klintworth N, Mantsopoulos K, Zenk J, et al. Sonoelastography of parotid gland tumours: Initial experience and identification of characteristic patterns[J]. Eur Radiol, 2012, 22(5): 947-956. [15] 刘覃俊,范轶群,周小玲,等.二维超声及SWE在腮腺占位性病变中的诊断效能[J].影像科学与光化学,2022,40(3): 560-564. [16] Qian Y, Ding A, Chen Q, et al. Diagnostic value of shear wave elastography quantification combined with conventional ultrasound in salivary gland tumors[J]. Quant Imaging Med Surg, 2023, 13(9): 5863-5876. [17] Knopf A, Hofauer B, Thürmel K, et al. Diagnostic utility of Acoustic Radiation Force Impulse (ARFI) imaging in primary Sjöegren's syndrome[J]. Eur Radiol, 2015, 25(10): 3027-3034. [18] Li J, Yuan H, Gao Y. Influencing factors, reference range and repeatability of salivary gland ultrasound viscoelastic imaging in healthy adults[J]. Ultrasound Med Biol, 2024, 50(10): 1544-1550. [19] Mansour N, Bas M, Stock KF, et al. Multimodal ultrasonographic pathway of parotid gland lesions[J]. Ultraschall Med, 2017, 38(2): 166-173. [20] 曹钟毓,王俊峰.剪切波弹性成像诊断腮腺占位性病变的应用价值[J].临床与病理杂志,2021,41(3): 561-565. [21] Klotz LV, Ingrisch M, Eichhorn ME, et al. Monitoring parotid gland tumors with a new perfusion software for contrast-enhanced ultrasound[J]. Clin Hemorheol Microcirc, 2014, 58(1): 261-269. [22] Wilson SR, Burns PN. Microbubble-enhanced US in body imaging: what role?[J]. Radiology, 2010, 257(1): 24-39. [23] Jiang LP. Characteristics of pleomorphic adenomas, adenolymphomas, and malignant tumors of the salivary glands on color doppler ultrasonography and contrast enhanced ultrasonography[J]. Eur Rev Med Pharmacol Sci, 2020, 24(22): 11509-11517. [24] 周志强.常规超声联合超声造影鉴别诊断腮腺良恶性肿瘤的诊断效能探讨[J].影像研究与医学应用,2024,8(15): 107-109. [25] Wang Y, Nie F, Wang P. Clinical diagnostic application of contrast-enhanced ultrasound in focal lesions of the salivary glands[J]. J Ultrasound Med, 2022, 41(10): 2535-2546. [26] Saito D, Shiga K, Katagiri K, et al. Contrast-enhanced ultrasonography for the differential diagnosis of pleomorphic adenomas and Warthin tumors in salivary glands[J]. Laryngoscope Investig Otolaryngol, 2021, 6(3): 425-431. [27] Yan M, Xu D, Chen L, et al. Comparative study of qualitative and quantitative analyses of contrast-enhanced ultrasound and the diagnostic value of B-mode and color doppler for common benign tumors in the parotid gland[J]. Front Oncol, 2021, 11: 669542. [28] Martino M, Fodor D, Fresilli D, et al. Narrative review of multiparametric ultrasound in parotid gland evaluation[J]. Gland Surg, 2020, 9(6): 2295-2311. [29] Badea AF, Bran S, Tamas-Szora A, et al. Solid parotid tumors: An individual and integrative analysis of various ultrasonographic criteria. A prospective and observational study[J]. Med Ultrason, 2013, 15(4): 289-298. [30] Klotz LV, Gürkov R, Eichhorn ME, et al. Perfusion characteristics of parotid gland tumors evaluated by contrast-enhanced ultrasound[J]. Eur J Radiol, 2013, 82(12): 2227-2232. [31] Rao Y, Ma Y, Wang J, et al. Performance of radiomics in the differential diagnosis of parotid tumors: a systematic review[J]. Front Oncol, 2024, 14: 1383323. [32] Ossowska A, Kusiak A, wietlik D. Artificial intelligence in dentistry-narrative review[J]. Int J Environ Res Public Health, 2022, 19(6): 3449. [33] Topol EJ. High-performance medicine: the convergence of human and artificial intelligence[J]. Nat Med, 2019, 25(1): 44-56. [34] Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: Extracting more information from medical images using advanced feature analysis[J]. Eur J Cancer, 2012, 48(4): 441-446. [35] Van Griethuysen JJM, Fedorov A, Parmar C, et al. Computational radiomics system to decode the radiographic phenotype[J]. Cancer Res, 2017, 77(21): e104-e107. [36] Lambin P, Rios-Velazquez E, Leijenaar R, et al. Radiomics: extracting more information from medical images using advanced feature analysis[J]. Eur J Cancer, 2012, 48(4): 441-446. [37] Giger ML. Machine learning in medical imaging[J]. J Am Coll Radiol, 2018, 15(3 Pt B): 512-520. [38] Qi YJ, Su GH, You C, et al. Radiomics in breast cancer: Current advances and future directions[J]. Cell Rep Med, 2024, 5(9): 101719. [39] Jia PF, Li YR, Wang LY, et al. Radiomics in esophagogastric junction cancer: A scoping review of current status and advances[J]. Eur J Radiol, 2024, 177: 111577. [40] Liu X, Xiao W, Yang C, et al. Diagnosis of parotid gland tumors using a ternary classification model based on ultrasound radiomics[J]. Front Oncol, 2025, 15: 1485393. [41] Cheng PC, Lo WC, Liao LJ, et al. Diagnosis of salivary gland tumors using ultrasound radiomics[J]. Ultrasound Med Biol, 2025, 51(5): 815-822. [42] Zhang G, Zhu L, Huang R, et al. A deep learning model for the differential diagnosis of benign and malignant salivary gland tumors based on ultrasound imaging and clinical data[J]. Quant Imaging Med Surg, 2023, 13(5): 2989-3000. [43] Wang Y, Dai A, Wen Y, et al. Prediction of high-risk capsule characteristics for recurrence of pleomorphic adenoma in the parotid gland based on habitat imaging and peritumoral radiomics: A two-center study[J]. Acad Radiol, 2025, 32(7): 4134-4145. [44] Van Timmeren JE, Cester D, Tanadini-Lang S, et al. Radiomics in medical imaging-"how-to" guide and critical reflection[J]. Insights Imaging, 2020, 11(1): 91. [45] Alabi RO, Elmusrati M, Leivo I, et al. Artificial intelligence-driven radiomics in head and neck cancer: Current status and future prospects[J]. Int J Med Inform, 2024, 188: 105464. |