Academic Journal

Preoperative Diagnosis of Usual Leiomyoma, Atypical Leiomyoma, and Leiomyosarcoma

التفاصيل البيبلوغرافية
العنوان: Preoperative Diagnosis of Usual Leiomyoma, Atypical Leiomyoma, and Leiomyosarcoma
المؤلفون: M. Matsuda, T. Ichimura, M. Kasai, M. Murakami, N. Kawamura, T. Hayashi, T. Sumi
المصدر: Sarcoma, Vol 2014 (2014)
بيانات النشر: Hindawi Limited
سنة النشر: 2014
المجموعة: Directory of Open Access Journals: DOAJ Articles
مصطلحات موضوعية: Neoplasms. Tumors. Oncology. Including cancer and carcinogens, RC254-282
الوصف: Uterine smooth muscle tumors (SMTs) are common pelvic tumors in women, and most of them are diagnosed as usual leiomyoma (UL). Exclusion of malignant disease is important in the management of SMTs. However, differentiation of SMTs remains difficult. In this study, we aimed to improve the preoperative diagnosis of SMTs. We examined 21 ULs, 7 atypical leiomyomas (ALs), and 6 leiomyosarcomas (LMSs), all of which were diagnosed by uterine tumor biopsy. Immunohistochemical findings (low-molecular-mass polypeptide 2 (LMP2) and Ki-67) and clinical features (serum lactate dehydrogenase level and menopause) were evaluated. Statistically significant differences in the expression of LMP2 and Ki-67 were observed between UL and AL and between UL and LMS. The combined LMP2 and Ki-67 score was significantly different between UL and AL, between UL and LMS, and between AL and LMS. The combined immunohistochemistry and clinical findings score (total score) was also significantly different between pathological types. The findings of this study suggest that the accuracy of the preoperative diagnosis of SMTs may be improved by using a combination of immunohistochemical and clinical findings.
نوع الوثيقة: article in journal/newspaper
اللغة: English
Relation: http://dx.doi.org/10.1155/2014/498682; https://doaj.org/toc/1357-714X; https://doaj.org/toc/1369-1643; https://doaj.org/article/df5d14d512ad4d609d5663ea0f317f08
DOI: 10.1155/2014/498682
الاتاحة: https://doi.org/10.1155/2014/498682
https://doaj.org/article/df5d14d512ad4d609d5663ea0f317f08
رقم الانضمام: edsbas.1B290FE1
قاعدة البيانات: BASE