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［5］ SU C Q，ZHANG X，PAN T，et al. Texture analysis of high pituitary adenoma consistency［J］. J Neurosurg，2020，134
b⁃value diffusion⁃weighted imaging for evaluating consis⁃ （6）：1800-1807
tency of pituitary macroadenomas［J］. J Magn Reson Im⁃ ［14］SONG Y，ZHANG J，ZHANG Y D，et al. FeAture Explorer
aging，2020，51（5）：1507-1513 （FAE）：a tool for developing and comparing radiomics
［6］ DING W，HUANG Z，ZHOU G，et al. Diffusion⁃weighted models［J］. PLoS One，2020，15（8）：e0237587
imaging for predicting tumor consistency and extent of re⁃ ［15］LI P，ZHANG D，MA S，et al. Consistency of pituitary ade⁃
section in patients with pituitary adenoma［J］. Neurosurg nomas：amounts of collagen types Ⅰ and Ⅲ and the pre⁃
Rev，2021，44（5）：2933-2941 dictive value of T2WI MRI［J］. Exp Ther Med，2021，22
［7］ PIERALLINI A，CARAMIA F，FALCONE C，et al. Pitu⁃ （5）：1255
itary macroadenomas：preoperative evaluation of consis⁃ ［16］SU C Q，WANG B B，TANG W T，et al. Diffusion⁃relax⁃
tency with diffusion⁃weighted MR imaging⁃⁃initial experi⁃ ation correlation spectrum imaging for predicting tumor
ence［J］. Radiology，2006，239（1）：223-231 consistency and gross total resection in patients with pitu⁃
［8］ MOHAMED F F，ABOUHASHEM S. Diagnostic value of itary adenomas：a preliminary study［J］. Eur Radiol，
apparent diffusion coefficient（ADC）in assessment of pi⁃ 2023，33（10）：6993-7002
tuitary macroadenoma consistency［J］. Egypt J Radiol Nu⁃ ［17］COHEN⁃COHEN S，HELAL A，YIN Z，et al. Predicting
cl Med，2013，44（3）：617-624 pituitary adenoma consistency with preoperative magnetic
［9］ MASTORAKOS P，MEHTA G U，CHATRATH A，et al. resonance elastography［J］. J Neurosurg. 2021，136（5）：
Tumor to cerebellar peduncle T2⁃weighted imaging inten⁃ 1356-1363
sity ratio fails to predict pituitary adenoma consistency［J］. ［18］林 洁，苏春秋，唐文天，等. 基于 T1WI 增强影像组学
J Neurol Surg B Skull Base，2019，80（3）：252-257 在鉴别高级别胶质瘤复发与假性进展中的应用价
［10］BARBOSA M A，PEREIRA E G R，DA MATA PEREIRA 值［J］. 南京医科大学学报（自然科学版），2023，43（9）：
P J，et al. Diffusion⁃weighted imaging does not seem to be 1279-1284
a predictor of consistency in pituitary adenomas［J］. Pitu⁃ ［19］ZEYNALOVA A，KOCAK B，DURMAZ E S，et al. Preop⁃
itary，2024，27：187-196 erative evaluation of tumour consistency in pituitary mac⁃
［11］LIN D，LIU J，KE C，et al. Radiomics analysis of quantita⁃ roadenomas：a machine learning⁃based histogram analysis
tive maps from synthetic MRI for predicting grades and on conventional T2 ⁃ weighted MRI［J］. Neuroradiology，
molecular subtypes of diffuse gliomas［J］. Clin Neuroradi⁃ 2019，61（7）：767-774
ol，2024，DOI：10.1007/s00062⁃024⁃01421⁃3 ［20］CUOCOLO R，UGGA L，SOLARI D，et al. Prediction of
［12］黄晓星，汪泽燕，肖学红，等. 术前MRI强化特征预测胶 pituitary adenoma surgical consistency：radiomic data
质母细胞瘤患者术后复发风险的价值［J］. 临床放射学 mining and machine learning on T2 ⁃ weighted MRI［J］.
杂志，2022，41（2）：217-223 Neuroradiology，2020，62（12）：1649-1656
［13］RUTKOWSKI M J，CHANG K E，CARDINAL T，et al. De⁃ ［收稿日期］ 2024-04-16
velopment and clinical validation of a grading system for （本文编辑：唐 震）