光谱CT定量参数预测术前临床淋巴结阴性甲状腺乳头状癌患者中央区淋巴结转移的研究

柴婷婷 ,  周燕 ,  苏国义 ,  斯岩 ,  沈美萍 ,  吴飞云 ,  许晓泉

南京医科大学学报(自然科学版) ›› 2026, Vol. 46 ›› Issue (6) : 903 -910.

PDF (1016KB)
南京医科大学学报(自然科学版) ›› 2026, Vol. 46 ›› Issue (6) : 903 -910. DOI: 10.7655/NYDXBNSN260280
临床研究

光谱CT定量参数预测术前临床淋巴结阴性甲状腺乳头状癌患者中央区淋巴结转移的研究

作者信息 +

Study on quantitative parameters of spectral CT in predicting central lymph node metastasis in patients with preoperative clinical lymph node-negative papillary thyroid carcinoma

Author information +
文章历史 +
PDF (1039K)

摘要

目的:探讨光谱CT定量参数对术前临床淋巴结阴性(clinically node-negative,cN0)甲状腺乳头状癌(papillary thyroid carcinoma,PTC)患者中央区淋巴结转移(central lymph node metastasis,CLNM)的预测效能。方法:回顾性分析术前行光谱CT检查并经手术病理证实的86例PTC患者的临床及影像资料,比较CLNM组和非CLNM组间临床指标和光谱CT特征差异。应用受试者工作特性(receiver operating characteristic,ROC)曲线评估临床特征、光谱CT特征和两者联合模型的预测效能,并计算曲线下面积(area under the curve,AUC)、敏感度和特异度。结果:临床特征方面,性别、甲状腺球蛋白(thyroglobulin,Tg)和囊变在CLNM及非CLNM组间差异具有统计学意义(P均<0.05)。平扫光谱CT参数方面,CLNM组的平扫期CT值40 keVHU、平扫期CT值70 keVHU低于非CLNM组(P<0.05);动脉期光谱CT参数方面,除动脉期标准化有效原子序数(normalized Zeff,NZeff),其余参数在CLNM和非CLNM组间差异均具有统计学意义(P<0.05);静脉期光谱CT参数方面,CLNM组的静脉期CT值70 keVHU低于非CLNM组(P=0.014)。联合模型的预测效能最高(AUC为0.896,灵敏度为86.7%,特异度为80.4%),其次为光谱CT参数模型(AUC为0.835,灵敏度为73.3%,特异度为85.7%),最后为临床模型(AUC为0.591,灵敏度为20.0%,特异度为98.2%, P<0.05)。结论:基于病灶的光谱CT定量参数能提高对cN0 PTC患者CLNM的预测效能,指导临床决策。

Abstract

Objective:To evaluate the predictive efficacy of spectral CT quantitative parameters for central lymph node metastasis(CLNM)in preoperative clinical node-negative(cN0)papillary thyroid carcinoma(PTC)patients. Methods:Clinical and imaging data of 86 surgical pathologically confirmed PTC patients who underwent preoperative spectral CT imaging,were retrospectively collected. Differences in clinical and spectral CT features between the CLNM and non-CLNM groups were compared. Receiver operating characteristic(ROC)curve analysis was used to assess the predictive performance of clinical features,spectral CT features,and a combined model,with area under the curve(AUC),sensitivity,and specificity calculated. Results:Among clinical indicators,sex,thyroglobulin(Tg)level,and cystic changes showed statistically significant differences between CLNM and non-CLNM groups(all P<0.05). Among non-contrast(NC)spectral CT parameters,40 keVHU and 70 keVHU values were significantly lower in CLNM group(all P<0.05). Among arterial phase(AP)spectral CT parameters,all parameters except arterial normalized effective atomic number(NZeff)differed significantly between two groups(all P<0.05). Among venous phase spectral CT parameters,70 keVHU value was significantly lower in CLNM group(P=0.014). Combined model demonstrated the highest predictive efficacy(AUC=0.896,sensitivity=86.7%,specificity=80.4%),followed by spectral CT quantitative parameter model(AUC=0.835,sensitivity=73.3%,specificity=85.7%),and clinical model(AUC=0.591,sensitivity=20.0%,specificity=98.2%;all P<0.05). Conclusion:Spectral CT quantitative parameters based on lesion characteristics improve the preoperative prediction of CLNM in cN0 PTC patients,and aid in treatment plan.

关键词

甲状腺乳头状癌 / 淋巴结转移 / 临床淋巴结阴性 / 光谱CT

Key words

papillary thyroid carcinoma / lymph node metastasis / clinically node-negative / spectral CT

引用本文

引用格式 ▾
柴婷婷,周燕,苏国义,斯岩,沈美萍,吴飞云,许晓泉. 光谱CT定量参数预测术前临床淋巴结阴性甲状腺乳头状癌患者中央区淋巴结转移的研究[J]. 南京医科大学学报(自然科学版), 2026, 46(6): 903-910 DOI:10.7655/NYDXBNSN260280

登录浏览全文

4963

注册一个新账户 忘记密码

参考文献

[1]

HUANG C W, CONG S Z, SHANG S Y, et al. Web—based ultrasonic nomogram predicts preoperative central lymph node metastasis of cN0 papillary thyroid microcarcinoma[J]. Front Endocrinol, 2021, 12:734900

[2]

许泳康, 周燕, 耿頔, . 临床和双能CT特征对甲状腺乳头状癌侧颈区淋巴结转移的预测价值[J]. 临床放射学杂志, 2024, 43(7):1095-1100

[3]

XU Y K, ZHOU Y, GENG D, et al. Clinical and dual—energy CT features for predicting lateral cervical lymph node metastasis from papillary thyroid cancer[J]. Journal of Clinical Radiology, 2024, 43(7):1095-1100

[4]

LI Z, ZHONG Y, LV Y, et al. A CT based radiomics analysis to predict the cN0 status of thyroid papillary carcinoma: a two—center study[J]. Cancer Imaging, 2024, 24(1): 62— 62

[5]

ZHAO W, SHEN S, KE T, et al. Clinical value of dual—energy CT for predicting occult metastasis in central neck lymph nodes of papillary thyroid carcinoma[J]. Eur Radiol, 2024, 34(1):16-25

[6]

ZHANG L, LING Y, ZHAO Y, et al. A nomogram based on clinicopathological and ultrasound imaging characteristics for predicting cervical lymph node metastasis in cN0 unilateral papillary thyroid microcarcinoma[J]. Frontiers in Surgery, 2021, 8:742328

[7]

中华放射学杂志双层探测器光谱CT临床应用协作组. 双层探测器光谱CT临床应用中国专家共识(第一版)[J]. 中华放射学杂志, 2020, 54(7):635-643

[8]

Chinese Journal of Radiology Cooperative Group of Clinical Application of Dual—layer Spectral Detector CT. China expert consensus on clinical application of dual—layer spectral detector CT (First edition)[J]. Chinese Journal of Radiology, 2020, 54(7):635-643

[9]

周燕, 许晓泉, 许泳康, . 双层探测器光谱CT多参数分析对甲状腺乳头状癌初始复发风险的预测价值[J]. 中华放射学杂志, 2024, 58(2):180-186

[10]

ZHOU Y, XU X Q, XU Y K, et al. Predicion of initial recurrence risk in papillary thyroid carcinoma based on the multi—parametric analysis from dual—layer detector spectral CT[J]. Chinese Journal of Radiology, 2024, 58(2):180-186

[11]

袁迎芳, 向栋国, 邵红宇, . 双层探测器光谱CT动脉增强分数对甲状腺乳头状癌颈部淋巴结转移的预测价值[J]. 临床放射学杂志, 2025, 44(12):2245-2250

[12]

YUAN Y F, XIANG D G, SHAO H Y, et al. Predictive value of arterial enhancement fraction measured by dual—layer detector spectral CT for cervical lymph node metastasis in papillary thyroid carcinoma[J]. Journal of Clinical Radiology, 2025, 44(12):2245-2250

[13]

王晨, 李庆, 师毅冰. 增强CT灰度共生矩阵预测cN0期甲状腺乳头状癌中央区淋巴结转移[J]. 中国医学影像学杂志, 2024, 32(8):787-791

[14]

WANG C, LI Q, SHI Y B. Enhanced CT gray—level co—occurrence matrix for predicting central lymph node metastasis in cN0 papillary thyroid carcinoma[J]. Chinese Journal of Medical Imaging, 2024, 32(8):787-791

[15]

李宁, 舒艳艳, 韩志江. CT征象联合临床特征对cN0期单发甲状腺乳头状癌中央组淋巴结转移的预测价值[J]. 中国临床医学影像杂志, 2016, 27(9):616-619

[16]

LI N, SHU Y Y, HAN Z J. Predictive value of CT combined with clinical features in diagnosing central lymph node metastasis of papillary thyroid carcinoma in stage cN0[J]. Chinese Journal of Clinical Medicine Imaging, 2016, 27(9):616-619

[17]

ZHUO X, YU J, CHEN Z, et al. Dynamic nomogram for predicting lateral cervical lymph node metastasis in papillary thyroid carcinoma[J]. Otolaryngol Head Neck Surg, 2022, 166(3):444-453

[18]

ZOU Y, ZHANG H, LI W, et al. Prediction of ipsilateral lateral cervical lymph node metastasis in papillary thyroid carcinoma: a combined dual—energy CT and thyroid function indicators study[J]. BMC Cancer, 2021, 21(1): 221— 221

[19]

邹颖, 刘继华, 孙芳, . 基于双能CT的列线图预测cN1期甲状腺乳头状癌颈侧区淋巴结转移的可行性研究[J]. 中华放射学杂志, 2021, 55(7):716-722

[20]

ZOU Y, LIU J H, SUN F, et al. A feasibility study of predictive values of lateral cervical lymph node metastasis from cN1—stage papillary thyroid carcinoma based on dual—energy CT nomogram[J]. Chinese Journal of Radiology, 2021, 55(7):716-722

[21]

王皓, 杜昱升, 王友, . 基于光谱CT和影像组学特征的机器学习模型和列线图预测甲状腺结节良恶性[J]. 南京医科大学学报(自然科学版), 2024, 44(7):958-965

[22]

WANG H, DU Y S, WANG Y, et al. Machine learning models and nomograms based on spectral CT and radiomic features for predicting the benignancy and malignancy of thyroid nodules[J]. Journal of Nanjing Medical University (Natural Sciences), 2024, 44(7):958-965

[23]

CHEN W, LIN G, CHENG F, et al. Development and validation of a dual—energy ct—based model for predicting the number of central lymph node metastases in clinically node—negative papillary thyroid carcinoma[J]. Acad Radiol, 2024, 31(1):142-156

[24]

XU X Q, ZHOU Y, SU G Y, et al. Iodine maps from dual—energy CT to predict extrathyroidal extension and recurrence in papillary thyroid cancer based on a radiomics approach[J]. AJNR Am J Neuroradiol, 2022, 43(5):748-755

基金资助

国家自然科学基金面上项目(82471980)

AI Summary AI Mindmap
PDF (1016KB)

0

访问

0

被引

详细

导航
相关文章

AI思维导图

/