富细胞型子宫肌瘤影像诊断进展
Progress in Imaging Diagnosis of Cellular Uterine Leiomyomas
DOI: 10.12677/ACM.2023.13102154, PDF,   
作者: 周晓宇:新疆医科大学第三临床医学院/附属肿瘤医院,新疆 乌鲁木齐;敬文波, 刘 艳*:新疆医科大学附属肿瘤医院影像诊断中心,新疆 乌鲁木齐
关键词: 子宫肌瘤核磁共振成像Uterine Neoplasms Magnetic Resonance Imaging
摘要: 子宫肌瘤是中年女性最为常见的子宫肿瘤,其病理分型中有一种变性型的肌瘤称为富细胞型子宫肌瘤,富细胞型子宫肌瘤是一种处于良恶性之间的交界性肿瘤,它虽然没有恶性的子宫肉瘤恶性度高,但相比于良性的子宫肌瘤,它具有复发、转移以及恶变的倾向。在临床以及常规影像学表现上由于其富于细胞的特点与恶性肉瘤较难鉴别,而且治疗上两者的治疗方案也差别较大,因此早期对富细胞型子宫肌瘤的准确鉴别就显得尤为重要。此文章主要探讨富细胞型子宫肌瘤影像学相关研究进展。
Abstract: Uterine fibroids are the most common uterine tumors in middle-aged women. Among the patholog-ical types, there is a kind of degenerative fibroids called rich cell uterine fibroids. Rich cell type uterine fibroids are borderline tumors between benign and malignant tumors. Although it is less malignant than malignant uterine sarcomas, it has a tendency of recurrence, metastasis and malig-nant transformation compared with benign uterine fibroids. In clinical and conventional imaging, it is difficult to distinguish malignant sarcoma from malignant sarcoma due to its rich cell character-istics, and the treatment regimen of the two is also very different, so it is particularly important to accurately identify the early cellular-rich uterine fibroids. This article mainly discusses the research progress of imaging related to cell-rich uterine fibroids.
文章引用:周晓宇, 敬文波, 刘艳. 富细胞型子宫肌瘤影像诊断进展[J]. 临床医学进展, 2023, 13(10): 15397-15402. https://doi.org/10.12677/ACM.2023.13102154

参考文献

[1] Arleo, E.K., Schwartz, P.E., Hui, P. and McCarthy, S. (2015) Review of Leiomyoma Variants. American Journal of Roentgenology, 205, 912-921. [Google Scholar] [CrossRef
[2] 景竹春, 罗焕超, 陈宁, 等. 子宫平滑肌肉瘤临床病理分析[J]. 基层医学论坛, 2023, 27(17): 97-99+151. [Google Scholar] [CrossRef
[3] Guan, R., Zheng, W. and Xu, M. (2012) A Retrospective Analysis of the Clinicopathologic Characteristics of Uterine Cellular Leiomyomas in China. International Journal of Gy-necology and Obstetrics, 118, 52-55. [Google Scholar] [CrossRef] [PubMed]
[4] Taran, F.A., Weaver, A.L., Gostout, B.S. and Stewart, E.A. (2010) Understanding Cellular Leiomyomas: A Case- Control Study. American Journal of Obstetrics and Gynecology, 203, 109.E1-109.E6. [Google Scholar] [CrossRef] [PubMed]
[5] Ip, P.P.C., Tse, K.Y. and Tam, K.F. (2010) Uterine Smooth Muscle Tumors Other Than the Ordinary Leiomyomas and Leiomyosarcomas: A Review of Selected Variants with Emphasis on Recent Advances and Unusual Morphology That May Cause Concern for Malignancy. Advances in Anatomic Pathology, 17, 91-112. [Google Scholar] [CrossRef
[6] Roy, S., Saroha, V. and Jain, D. (2010) Highly Cellular Leiomyoma Mimics A Malignant Small Round-Cell Tumor: A Diagnostic Dilemma on Frozen Sections. Taiwanese Journal of Obstetrics and Gynecology, 49, 203-205. [Google Scholar] [CrossRef
[7] 徐惠成, 梁志清. 容易误诊为子宫肉瘤的肌瘤类型[J]. 实用妇产科杂志, 2012, 28(1): 17-19. [Google Scholar] [CrossRef
[8] Rush, D.S., Tan, J., Baergen, R.N. and Soslow, R.A. (2001) H-Caldesmon, a Novel Smooth Muscle-Specific Antibody, Distinguishes between Cellular Leiomyoma and En-dometrial Stromal Sarcoma. The American Journal of Surgical Pathology, 25, 253-258. [Google Scholar] [CrossRef] [PubMed]
[9] Loddenkemper, C., Mechsner, S., Foss, H.-D., et al. (2003) Use of Oxytocin Receptor Expression in Distinguishing between Uterine Smooth Muscle Tumors and Endome-trial Stromal Sarcoma. The American Journal of Surgical Pathology, 27, 1458-1462. [Google Scholar] [CrossRef] [PubMed]
[10] Zhu, X.-Q., Shi, Y.-F., Cheng, X.-D., Zhao, C.-L. and Wu, Y.-Z. (2004) Immunohistochemical Markers in Differential Diagnosis of Endometrial Stromal Sarcoma and Cellular Leiomyoma. Gynecologic Oncology, 92, 71-79. [Google Scholar] [CrossRef] [PubMed]
[11] Jung, C.-K., Jung, J.-H., Lee, A., et al. (2008) Diagnostic Use of Nuclear β-Catenin Expression for the Assessment of Endometrial Stromal Tumors. Modern Pathology, 21, 756-763. [Google Scholar] [CrossRef] [PubMed]
[12] 李丽, 赵振华, 杨建峰, 等. 动态增强MRI定量灌注直方图参数对富细胞型子宫肌瘤的诊断价值[J]. 中华放射学杂志, 2018, 52 (11): 852-857.
[13] 刘柳恒, 吕富荣, 肖智博, 吕发金, 李佳, 李芊. DWI诊断细胞型子宫肌瘤[J]. 中国医学影像技术, 2016, 32(10): 1550-1554. [Google Scholar] [CrossRef
[14] 薛康康, 程敬亮, 白洁, 等. DWI及动态增强MRI鉴别诊断子宫肉瘤与变性子宫肌瘤的价值[J]. 中国医学影像技术, 2016, 32(2): 274-278. [Google Scholar] [CrossRef
[15] 冯静. DWI联合常规磁共振成像在原发性肝癌治疗后随访中应用研究[J]. 中国CT和MRI杂志, 2017, 21(5): 100-102.
[16] 陈颖, 英华. 磁共振DWI和ADC在子宫内膜癌诊断中的应用研究[J]. 中国医学装备, 2016, 13(1): 81-84.
[17] 屈昭慧, 高雪梅, 程敬亮, 李玉博. 扩散加权成像评价胃癌血管内皮生长因子表达及病理分化程度的研究[J]. 中国医学影像学杂志, 2016, 24(9): 666-668.
[18] van Niekerk, C.G., van der Laak, J.A.W.M., Hambrock, T., et al. (2014) Correlation between Dynamic Contrast-En- hanced MRI and Quantitative Histopathologic Microvascular Parameters in Organ-Confined Prostate Can-cer. European Radiology, 24, 2597-2605. [Google Scholar] [CrossRef] [PubMed]
[19] Rata, M., Collins, D.J., Darcy, J., et al. (2016) Assessment of Repeatability and Treatment Response in Early Phase Clinical Trials Using DCE-MRI: Comparison of Parametric Analysis Using MR- and CT-Derived Arterial Input Functions. European Radi-ology, 26, 1991-1998. [Google Scholar] [CrossRef] [PubMed]
[20] 李军苗, 杨登法, 华浅近, 陈建华, 张海涛, 吴贵阳. 前列腺癌的DCE-MRI与DWI诊断的定量分析[J]. 医学研究杂志, 2019, 48(1): 69-73.
[21] Punwani, S. (2011) Contrast Enhanced MR Imaging of Female Pelvic Cancers: Established Methods and Emerging Applications. European Journal of Radiology, 78, 2-11. [Google Scholar] [CrossRef] [PubMed]
[22] 马长军, 田士峰, 于海霞, 等. DTI多定量参数鉴别子宫肉瘤和富细胞型子宫肌瘤的价值[J]. 临床放射学杂志, 2022, 41(5): 908-912. [Google Scholar] [CrossRef
[23] 张文婷, 尹化斌. 磁共振弥散张量成像在子宫及子宫疾病中的应用研究进展[J]. 国际妇产科学杂志, 2019, 46(6): 609-613.
[24] Hricak, H., Tscholakoff, D., Heinrichs, L., et al. (1986) Uterine Leiomyomas: Correlation of MR, Histopathologic Findings, and Symptoms. Radiology, 158, 385-391. [Google Scholar] [CrossRef] [PubMed]
[25] Tian, S., Liu, A., Zhu, W., et al. (2017) Difference in Diffu-sion-Weighted Magnetic Resonance Imaging and Diffusion Tensor Imaging Parameters between Endometrioid Endome-trial Adenocarcinoma and Uterine Serous Adenocarcinoma: A Retrospective Study. International Journal of Gynecolog-ical Cancer, 27, 1708-1713. [Google Scholar] [CrossRef
[26] Tian, S., Niu, M., Xie, L., Song, Q. and Liu, A. (2020) Dif-fusion-Tensor Imaging for Differentiating Uterine Sarcoma from Degenerative Uterine Fibroids. Clinical Radiology, 76, 313.E27-313.E32. [Google Scholar] [CrossRef] [PubMed]
[27] Yamada, I., Wakana, K., Kobayashi, D., et al. (2019) Endometrial Carcinoma: Evaluation Using Diffusion-Tensor Imaging and Its Correlation with Histopathologic Findings. Journal of Magnetic Resonance Imaging, 50, 250-260. [Google Scholar] [CrossRef] [PubMed]
[28] 白曼, 程敬亮, 张晓楠, 等. 基于T2WI肿瘤最大层面直方图分析鉴别诊断子宫内膜间质肉瘤与变性子宫肌瘤[J]. 中国介入影像与治疗学, 2021, 18(3): 170-174. [Google Scholar] [CrossRef
[29] 牛淼, 刘爱连, 张钦和, 等. ADC直方图及纹理分析参数鉴别子宫肉瘤与变性肌瘤的价值[J]. 临床放射学杂志, 2019, 38(10): 1895-1899. [Google Scholar] [CrossRef