全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

肾上腺占位的诊治进展
Advances in the Diagnosis and Treatment of Adrenal Occupied Space

DOI: 10.12677/jcpm.2025.41047, PP. 304-312

Keywords: 肾上腺,诊断,治疗,影像学
Adrenal
, Diagnosis, Treatment, Imaging

Full-Text   Cite this paper   Add to My Lib

Abstract:

肾上腺肿瘤是临床上常见的一类肿瘤。随着传统影像学,影像组学的迅猛发展,肾上腺领域的研究已不仅仅停留于占位的检出,更关注影像学领域在病理类型判断方面的应用,不同病理类型的肾上腺占位其治疗策略也有所不同。本文对近年来影像学在不同类型肾上腺肿瘤的鉴别诊断及相关治疗进行综述。
Adrenal tumor is a common type of tumor in clinic. With the rapid development of traditional imaging and radiomics, the research in the field of adrenals gland has not only stayed in the detection of space occupation, but also paid more attention to the application of different pathological types of adrenal space occupation in the field of imaging. The treatment strategies for adrenal space-occupying lesions also vary based on different pathological types. This article reviews the imaging-based differential diagnosis of different types of adrenal tumors and related treatments for adrenal space-occupying lesions in recent years.

References

[1]  方文杰, 韦升炎. 肾上腺良性肿瘤患者的临床治疗研究进展[J]. 临床医药文献电子杂志, 2019, 6(44): 181+183.
[2]  高海良. 不同入路腹腔镜肾上腺切除术治疗肾上腺肿瘤患者的临床研究[J]. 中国实用医药, 2020, 15(6): 22-24.
[3]  王军, 邢会武, 刘宇, 等. 肾上腺淋巴管瘤的诊治方法[J]. 中华泌尿外科杂志, 2020, 41(10): 736-740.
[4]  连朋超, 孟庆军, 田雨冬, 等. 11例肾上腺淋巴管瘤的诊断与治疗[J]. 河南医学研究, 2020, 29(9): 1581-1584.
[5]  周金, 黄志扬, 蔡经爽, 等. 巨大肾上腺淋巴管瘤术后尿瘘1例报告及经验总结[J]. 中国卫生标准管理, 2019, 10(11): 56-59.
[6]  叶烈夫, 吴进锋, 胡敏雄, 等. 肾上腺外科治疗进展[J]. 临床泌尿外科杂志, 2023, 38(9): 645-649.
[7]  李春建, 王健明. 肾上腺偶发瘤的诊疗进展[J]. 泌尿外科杂志(电子版), 2021, 13(2): 92-95.
[8]  欧民杰, 邓建华, 郑国洋, 等. 达芬奇机器人手术治疗嗜铬细胞瘤/副神经节瘤研究进展[J]. 协和医学杂志, 2024, 15(6): 1401-1407.
[9]  Franzese, C., Stefanini, S. and Scorsetti, M. (2023) Radiation Therapy in the Management of Adrenal Metastases. Seminars in Radiation Oncology, 33, 193-202.
[10]  Eid, M., Foukal, J., Sochorová, D., Tuček, Š., Starý, K., Kala, Z., et al. (2023) Management of Pheochromocytomas and Paragangliomas: Review of Current Diagnosis and Treatment Options. Cancer Medicine, 12, 13942-13957.
https://doi.org/10.1002/cam4.6010

[11]  曹德宏, 范骏平, 朱梦丽, 等. 嗜铬细胞瘤/副神经节瘤诊疗的研究进展[J]. 现代泌尿外科杂志, 2023, 28(3): 254-260.
[12]  O’Halpin, D., Legge, D. and MacErlean, D.P. (1984) Therapeutic Arterial Embolisation: Report of Five Years’ Experience. Clinical Radiology, 35, 85-93.
https://doi.org/10.1016/s0009-9260(84)80001-x

[13]  Ierardi, A.M., Petrillo, M., Patella, F., et al. (2018) Interventional Radiology of the Adrenal Glands: Current Status. Gland Surgery, 7, 147-165.
[14]  吉强, 陈红, 李治群, 等. 肾上腺区嗜铬细胞瘤与肾上腺皮质腺瘤CT征象临床对比[J]. 中国实验诊断学, 2022, 26(8): 1147-1151.
[15]  杨存霞, 吴春梅, 李思琪, 等. 肾上腺转移瘤的影像学研究进展[J]. 临床放射学杂志, 2023, 42(11): 1838-1842.
[16]  De Leo, A., Mosconi, C., Zavatta, G., Tucci, L., Nanni, C., Selva, S., et al. (2020) Radiologically Defined Lipid-Poor Adrenal Adenomas: Histopathological Characteristics. Journal of Endocrinological Investigation, 43, 1197-1204.
https://doi.org/10.1007/s40618-020-01198-5

[17]  Schloetelburg, W., Ebert, I., Petritsch, B., Weng, A.M., Dischinger, U., Kircher, S., et al. (2022) Adrenal Wash-Out CT: Moderate Diagnostic Value in Distinguishing Benign from Malignant Adrenal Masses. European Journal of Endocrinology, 186, 183-193.
https://doi.org/10.1530/eje-21-0650

[18]  Kirsch, M.J., Kohli, M.W., Long, K.L., Pitt, S.C., Schneider, D.F., Sippel, R.S., et al. (2020) Utility of the 10 Hounsfield Unit Threshold for Identifying Adrenal Adenomas: Can We Improve? The American Journal of Surgery, 220, 920-924.
https://doi.org/10.1016/j.amjsurg.2020.04.021

[19]  Zhu, F., Zhu, X., Shi, H., Liu, C., Xu, Z., Shao, M., et al. (2021) Adrenal Metastases: Early Biphasic Contrast-Enhanced CT Findings with Emphasis on Differentiation from Lipid-Poor Adrenal Adenomas. Clinical Radiology, 76, 294-301.
https://doi.org/10.1016/j.crad.2020.12.012

[20]  Pellegrino, M., Secli, V., D’Amico, S., Petrilli, L.L., Caforio, M., Folgiero, V., et al. (2024) Manipulating the Tumor Immune Microenvironment to Improve Cancer Immunotherapy: IGF1R, a Promising Target. Frontiers in Immunology, 15, Article ID: 1356321.
https://doi.org/10.3389/fimmu.2024.1356321

[21]  李琦, 杨立莉, 张云静. 多层螺旋CT特征及EGFR、IGF1R表达水平与肾上腺皮质肿瘤病理类型的相关性[J/OL]. 中国辐射卫生, 2024: 1-12.
https://link.cnki.net/urlid/37.1206.R.20241205.1420.006, 2024-12-10.
[22]  廖泽冰. 光谱CT在鉴别肾上腺腺瘤与嗜铬细胞瘤中的应用研究[D]: [硕士学位论文]. 广州: 广州医科大学, 2022.
[23]  钟睿, 陈启光, 孙丹, 等. 利用CT表现鉴别肾上腺隐匿型嗜铬细胞瘤和皮质腺瘤[J]. 中华腔镜泌尿外科杂志(电子版), 2021, 15(1): 12-16.
[24]  李展展. CT能谱对肾上腺无功能腺瘤与转移瘤的诊断鉴别分析[J]. 中国医学工程, 2020, 28(7): 97-99.
[25]  Grajewski, K.G. and Caoili, E.M. (2021) Adrenal Washout CT: Counterpoint—Remains a Valuable Tool for Radiologists Characterizing Indeterminate Nodules. American Journal of Roentgenology, 216, 1168-1169.
https://doi.org/10.2214/ajr.20.24490

[26]  赵莹, 刘爱连, 刘静红, 等. Revolution CT灌注成像对肾上腺乏脂性腺瘤与肺癌肾上腺转移瘤的鉴别价值[J]. 中国临床医学影像杂志, 2018, 29(11): 792-797.
[27]  Shetty, A.S., Sipe, A.L., Zulfiqar, M., Tsai, R., Raptis, D.A., Raptis, C.A., et al. (2019) In-Phase and Opposed-Phase Imaging: Applications of Chemical Shift and Magnetic Susceptibility in the Chest and Abdomen. RadioGraphics, 39, 115-135.
https://doi.org/10.1148/rg.2019180043

[28]  Yamauchi, F.I., Lemos, G.R., Dubinco, A., Paiva, O.A., Mussi, T.C. and Baroni, R.H. (2022) Enhancement Patterns of Adrenal Nodules on Magnetic Resonance Imaging. International Brazilian Journal of Urology, 48, 294-302.
https://doi.org/10.1590/s1677-5538.ibju.2021.0472

[29]  Tu, W., Abreu-Gomez, J., Udare, A., Alrashed, A. and Schieda, N. (2020) Utility of T2-Weighted MRI to Differentiate Adrenal Metastases from Lipid-Poor Adrenal Adenomas. Radiology: Imaging Cancer, 2, e200011.
https://doi.org/10.1148/rycan.2020200011

[30]  Dalavia, C.C., Goldman, S.M., Melo, H.J.d.F., Kater, C.E., Szejnfeld, J., Iared, W., et al. (2020) The Value of Signal Intensity on T1-Weighted Chemical Shift Magnetic Resonance Imaging Combined with Proton Magnetic Resonance Spectroscopy for the Diagnosis of Adrenal Adenomas. Radiologia Brasileira, 53, 86-94.
https://doi.org/10.1590/0100-3984.2019.0095

[31]  朱嘉宁, 李静波, 罗渝昆, 等. 常规超声及超声造影在肾上腺肿瘤诊断中的应用[J]. 中国研究型医院, 2022, 9(3): 57-60.
[32]  Frinking, P., Segers, T., Luan, Y. and Tranquart, F. (2020) Three Decades of Ultrasound Contrast Agents: A Review of the Past, Present and Future Improvements. Ultrasound in Medicine & Biology, 46, 892-908.
https://doi.org/10.1016/j.ultrasmedbio.2019.12.008

[33]  Averkiou, M.A., Bruce, M.F., Powers, J.E., Sheeran, P.S. and Burns, P.N. (2020) Imaging Methods for Ultrasound Contrast Agents. Ultrasound in Medicine & Biology, 46, 498-517.
https://doi.org/10.1016/j.ultrasmedbio.2019.11.004

[34]  Lam, A.K. (2021) Adrenocortical Carcinoma: Updates of Clinical and Pathological Features after Renewed World Health Organisation Classification and Pathology Staging. Biomedicines, 9, Article No. 175.
https://doi.org/10.3390/biomedicines9020175

[35]  武标, 何年安. 超声特征Logistic回归模型对肾上腺节细胞神经瘤与嗜铬细胞瘤鉴别诊断价值[J]. 中国超声医学杂志, 2024, 40(2): 195-197.
[36]  冯蔚, 王峥嵘, 苏英姿, 等. 儿童神经母细胞性肿瘤超声特征分析[J]. 中华超声影像学杂志, 2020, 29(11): 969-976.
[37]  刘纪蓉, 韩江涛, 张健颖, 等. 常规超声联合超声造影对肾上腺肿瘤的诊断价值[J]. 临床超声医学杂志, 2020, 22(9): 712-714.
[38]  Wang, Y., Cong, H., Wang, S., Yu, B. and Shen, Y. (2021) Development and Application of Ultrasound Contrast Agents in Biomedicine. Journal of Materials Chemistry B, 9, 7633-7661.
https://doi.org/10.1039/d1tb00850a

[39]  娄桂宾, 阳波, 徐隽, 等. MRI诊断肾上腺嗜铬细胞瘤的特异性及敏感性分析[J]. 中国CT和MRI杂志, 2019, 17(10): 93-95.
[40]  张磊, 石浪勇, 谢宝君. CT与MRI鉴别诊断肾上腺皮质腺瘤与嗜铬细胞瘤的价值研究[J]. 现代医用影像学, 2023, 32(10): 1924-1927.
[41]  杨洁, 李秋实, 杜森, 等. MSCT及3.0T MRI在肾上腺肿瘤鉴别诊断中的应用价值[J]. 中国医学工程, 2023, 31(9): 77-80.
[42]  傅兰兰, 胡晓丹, 边玲, 等. 能谱CT成像多参数在肾上腺结节性增生与肾上腺皮质腺瘤鉴别诊断中的价值研究[J]. 中国医学装备, 2023, 20(1): 55-59.
[43]  郑钟, 圣文, 赵军, 等. 多层螺旋CT成像用于急性肺栓塞的诊断价值[J]. 中国辐射卫生, 2024, 33(3): 336-339.
[44]  徐爱民, 孙淑钦, 刘培举, 等. MSCT、3.0T MRI用于肾上腺肿瘤鉴别中的价值分析[J]. 中国CT和MRI杂志, 2023, 21(10): 130-132.
[45]  吴春梅, 殷小平. 肾上腺腺瘤的影像组学研究进展[J]. 医学研究与教育, 2022, 39(3): 29-34.
[46]  李双双, 侯震, 刘娟, 等. 影像组学分析与建模工具综述[J]. 中国医学物理学杂志, 2018, 35(9): 1043-1049.
[47]  刘军, 丁长春, 樊祖康. CT增强图像纹理分析技术在卵巢癌术前定量恶性程度及新辅助化疗预后评估中的价值[J]. 中国妇幼保健, 2024, 39(22): 4574-4577.
[48]  Yi, X., Guan, X., Chen, C., Zhang, Y., Zhang, Z., Li, M., et al. (2018) Adrenal Incidentaloma: Machine Learning-Based Quantitative Texture Analysis of Unenhanced CT Can Effectively Differentiate sPHEO from Lipid-Poor Adrenal Adenoma. Journal of Cancer, 9, 3577-3582.
https://doi.org/10.7150/jca.26356

[49]  He, K., Zhang, Z., Wang, Z., Wang, Y., Wang, Y., Zhang, H., et al. (2021) A Clinical-Radiomic Nomogram Based on Unenhanced Computed Tomography for Predicting the Risk of Aldosterone-Producing Adenoma. Frontiers in Oncology, 11, Article ID: 634879.
https://doi.org/10.3389/fonc.2021.634879

[50]  Stanzione, A., Cuocolo, R., Verde, F., Galatola, R., Romeo, V., Mainenti, P.P., et al. (2021) Handcrafted MRI Radiomics and Machine Learning: Classification of Indeterminate Solid Adrenal Lesions. Magnetic Resonance Imaging, 79, 52-58.
https://doi.org/10.1016/j.mri.2021.03.009

[51]  Torresan, F., Crimì, F., Ceccato, F., Zavan, F., Barbot, M., Lacognata, C., et al. (2021) Radiomics: A New Tool to Differentiate Adrenocortical Adenoma from Carcinoma. BJS Open, 5, zraa061.
https://doi.org/10.1093/bjsopen/zraa061

[52]  Shi, B., Zhang, G., Xu, M., Jin, Z. and Sun, H. (2019) Distinguishing Metastases from Benign Adrenal Masses: What Can CT Texture Analysis Do? Acta Radiologica, 60, 1553-1561.
https://doi.org/10.1177/0284185119830292

[53]  Elbanan, M.G., Javadi, S., Ganeshan, D., Habra, M.A., Rao Korivi, B., Faria, S.C., et al. (2019) Adrenal Cortical Adenoma: Current Update, Imaging Features, Atypical Findings, and Mimics. Abdominal Radiology, 45, 905-916.
https://doi.org/10.1007/s00261-019-02215-9

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133