[1]
|
Sivanesaratnam, V., Dutta, R. and Jayalakshmi, P. (1990) Ovarian Fibroma—Clinical and Histopathological Characteristics. International Journal of Gynecology & Obstetrics, 33, 243-247. https://doi.org/10.1016/0020-7292(90)90009-a
|
[2]
|
Li, X., Zhang, W., Zhu, G., Sun, C., Liu, Q. and Shen, Y. (2012) Imaging Features and Pathologic Characteristics of Ovarian Thecoma. Journal of Computer Assisted Tomography, 36, 46-53. https://doi.org/10.1097/rct.0b013e31823f6186
|
[3]
|
Abdelazim, I., Abu-Faza, M., Abdelrazek, K., Amer, O., Shikanova, S. and Zhurabekova, G. (2020) Ovarian Fibroma Commonly Misdiagnosed as Uterine Leiomyoma. Gynecology and Minimally Invasive Therapy, 9, 36-38. https://doi.org/10.4103/gmit.gmit_131_18
|
[4]
|
Yazdani, S., Alijanpoor, A., Sharbatdaran, M., et al. (2014) Meigs’ Syndrome with Elevated Serum CA125 in a Case of Ovarian Fibroma /Thecoma. Caspian Journal of Internal Medicine, 5, 43-45.
|
[5]
|
Al Harbi, R., McNeish, I.A. and El-Bahrawy, M. (2021) Ovarian Sex Cord-Stromal Tumors: An Update on Clinical Features, Molecular Changes, and Management. International Journal of Gynecologic Cancer, 31, 161-168. https://doi.org/10.1136/ijgc-2020-002018
|
[6]
|
Zhang, H., Zhang, H., Gu, S., Zhang, Y., Liu, X. and Zhang, G. (2018) MR Findings of Primary Ovarian Granulosa Cell Tumor with Focus on the Differentiation with Other Ovarian Sex Cord-Stromal Tumors. Journal of Ovarian Research, 11, Article No. 46. https://doi.org/10.1186/s13048-018-0416-x
|
[7]
|
Cho, Y.J., Lee, H.S., Kim, J.M., Lee, S.Y., Song, T., Seong, S.J., et al. (2015) Ovarian-Sparing Local Mass Excision for Ovarian Fibroma/Fibrothecoma in Premenopausal Women. European Journal of Obstetrics & Gynecology and Reproductive Biology, 185, 78-82. https://doi.org/10.1016/j.ejogrb.2014.11.042
|
[8]
|
姜月茗茗, 张盛敏, 朱俊华, 等. 绝经前后卵巢卵泡膜-纤维细胞组肿瘤的超声造影表现比较[J]. 中国超声医学杂志, 2022, 38(8): 911-914.
|
[9]
|
Leung, S.W. and Yuen, P.M. (2006) Ovarian Fibroma: A Review on the Clinical Characteristics, Diagnostic Difficulties, and Management Options of 23 Cases. Gynecologic and Obstetric Investigation, 62, 1-6. https://doi.org/10.1159/000091679
|
[10]
|
Chechia, A., Attia, L., Temime, R.B., Makhlouf, T. and Koubaa, A. (2008) Incidence, Clinical Analysis, and Management of Ovarian Fibromas and Fibrothecomas. American Journal of Obstetrics and Gynecology, 199, 473.E1-473.E4. https://doi.org/10.1016/j.ajog.2008.03.053
|
[11]
|
覃伶伶, 洪燕, 符小艳, 等. 卵巢卵泡膜-纤维瘤组肿瘤合并Meigs综合征的临床及超声特征[J]. 中国超声医学杂志, 2021, 37(2): 194-197.
|
[12]
|
Chung, B.M., Park, S.B., Lee, J.B., Park, H.J., Kim, Y.S. and Oh, Y.J. (2014) Magnetic Resonance Imaging Features of Ovarian Fibroma, Fibrothecoma, and Thecoma. Abdominal Imaging, 40, 1263-1272. https://doi.org/10.1007/s00261-014-0257-z
|
[13]
|
Nocito, A.L., Sarancone, S., Bacchi, C. and Tellez, T. (2008) Ovarian Thecoma: Clinicopathological Analysis of 50 Cases. Annals of Diagnostic Pathology, 12, 12-16. https://doi.org/10.1016/j.anndiagpath.2007.01.011
|
[14]
|
Roth, L.M. (2006) Recent Advances in the Pathology and Classification of Ovarian Sex Cord-Stromal Tumors. International Journal of Gynecological Pathology, 25, 199-215. https://doi.org/10.1097/01.pgp.0000192271.22289.e6
|
[15]
|
Javadi, S., Ganeshan, D.M., Jensen, C.T., Iyer, R.B. and Bhosale, P.R. (2021) Comprehensive Review of Imaging Features of Sex Cord-Stromal Tumors of the Ovary. Abdominal Radiology, 46, 1519-1529. https://doi.org/10.1007/s00261-021-02998-w
|
[16]
|
Chen, H., Liu, Y., Shen, L., Jiang, M., Yang, Z. and Fang, G. (2016) Ovarian Thecoma-Fibroma Groups: Clinical and Sonographic Features with Pathological Comparison. Journal of Ovarian Research, 9, Article No. 81. https://doi.org/10.1186/s13048-016-0291-2
|
[17]
|
刘向娇, 尚宁, 廖敏彦, 等. 卵巢性索间质肿瘤的相关临床表现与超声特征分析[J]. 实用妇科内分泌电子杂志, 2020, 7(9): 3-6.
|
[18]
|
张新玲, 贺需旗, 郑荣琴, 等. 超声造影在浆膜下子宫肌瘤与卵巢纤维瘤鉴别诊断中的初步应用[J]. 中华超声影像学杂志, 2013, 22(3): 239-242.
|
[19]
|
Takeuchi, M., Matsuzaki, K. and Harada, M. (2012) Preliminary Observations and Diagnostic Value of Lipid Peak in Ovarian Thecomas/Fibrothecomas Using in vivo Proton MR Spectroscopy at 3T. Journal of Magnetic Resonance Imaging, 36, 907-911. https://doi.org/10.1002/jmri.23711
|
[20]
|
Wei, C., Chen, Y.-L., Li, X.-X., et al. (2021) Corrigendum to “Diagnostic Performance of MR Imaging-Based Features and Texture Analysis in the Differential Diagnosis of Ovarian Thecomas/Fibrothecomas and Uterine Fibroids in the Adnexal Area” [Acad Radiol 2020; 27:1406-1415]. Academic Radiology, 28, 1329. https://doi.org/10.1016/j.acra.2021.04.001
|
[21]
|
Thomassin-Naggara, I., Daraï, E., Nassar-Slaba, J., Cortez, A., Marsault, C. and Bazot, M. (2007) Value of Dynamic Enhanced Magnetic Resonance Imaging for Distinguishing between Ovarian Fibroma and Subserous Uterine Leiomyoma. Journal of Computer Assisted Tomography, 31, 236-242. https://doi.org/10.1097/01.rct.0000237810.88251.9e
|
[22]
|
Zhang, H., Zhang, G., Wang, T. and Zhang, H. (2013) Value of 3.0 T Diffusion-Weighted Imaging in Discriminating Thecoma and Fibrothecoma from Other Adnexal Solid Masses. Journal of Ovarian Research, 6, Article No. 58. https://doi.org/10.1186/1757-2215-6-58
|
[23]
|
何重阳, 文明. CT在外突性子宫肌瘤与卵巢性索间质肿瘤的鉴别诊断价值[J]. 中国医学物理学杂志, 2020, 37(5): 589-593.
|
[24]
|
孙道谱, 杨毅, 赖会君. 卵巢卵泡膜-纤维瘤组肿瘤的超声诊断[J]. 中华临床医师杂志(电子版), 2014, 8(14): 2593-2596.
|
[25]
|
李玲, 周一波, 吴美艳, 等. 卵巢肿瘤超声造影血流特征与肿瘤恶性程度的相关性研究[J]. 中华内分泌外科杂志, 2018, 12(2): 150-153.
|
[26]
|
Yin, B., Li, W., Cui, Y., Chu, C., Ding, M., Chen, J., et al. (2015) Value of Diffusion-Weighted Imaging Combined with Conventional Magnetic Resonance Imaging in the Diagnosis of Thecomas/Fibrothecomas and Their Differential Diagnosis with Malignant Pelvic Solid Tumors. World Journal of Surgical Oncology, 14, Article No. 5. https://doi.org/10.1186/s12957-015-0760-x
|
[27]
|
Nagawa, K., Kishigami, T., Yokoyama, F., Murakami, S., Yasugi, T., Takaki, Y., et al. (2022) Diagnostic Utility of a Conventional MRI-Based Analysis and Texture Analysis for Discriminating between Ovarian Thecoma-Fibroma Groups and Ovarian Granulosa Cell Tumors. Journal of Ovarian Research, 15, Article No. 65. https://doi.org/10.1186/s13048-022-00989-z
|
[28]
|
Gao, Y., Zeng, S., Xu, X., Li, H., Yao, S., Song, K., et al. (2022) Deep Learning-Enabled Pelvic Ultrasound Images for Accurate Diagnosis of Ovarian Cancer in China: A Retrospective, Multicentre, Diagnostic Study. The Lancet Digital Health, 4, e179-e187. https://doi.org/10.1016/s2589-7500(21)00278-8
|
[29]
|
罗以恒. 在卵巢肿瘤良恶性鉴别诊断中应用超声造影与彩色多普勒超声检查的准确性分析[J]. 影像研究与医学应用, 2021, 5(10): 115-116.
|