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- Title
Diagnostic Utility of Hysteroscopic Biopsy in Cases of Suspected Lobular Endocervical Glandular Hyperplasia and Comparison with Cervical Conization.
- Authors
Shiro, Reona; Kotani, Yasushi; Ohta, Mamiko; Sato, Hanako; Kashima, Yoko; Murakami, Kosuke; Kawasaki, Kaoru; Nakai, Hidekatsu; Matsumura, Noriomi
- Abstract
Background: Cervical cystic lesions encompass a range of benign and malignant pathologies. Magnetic resonance imaging or cytology alone cannot provide a definitive diagnosis, and conventional practice involves performing a cervical biopsy by conization to confirm the histology in cases exhibiting potential signs of lobular endocervical glandular hyperplasia (LEGH) or malignancy. However, as postoperative complications resulting from conization can impact future fertility and pregnancy, alternative diagnostic methods are needed for reproductive-age patients. This study aimed to establish the efficacy of a hysteroscopic biopsy for diagnosing cervical cystic lesions and compare it with conization. Methods: Thirteen patients with cervical cystic lesions suspected of LEGH or malignancy underwent a hysteroscopic biopsy, while 23 underwent conization. Patient background information, preoperative evaluation, histology, and postoperative outcomes were collected and compared retrospectively. Results: No significant differences were found between the hysteroscopy and conization groups in terms of mean patient age (45 vs. 48 years), operating time (23 vs. 35 min), blood loss (small amount vs. 43 mL), and postoperative hospitalization (1.1 vs. 1.6 days). Conclusion: A hysteroscopic biopsy allows for targeted resection of the cervix while maintaining diagnostic accuracy. It may serve as an efficient method for diagnosing cervical cystic lesions.
- Subjects
JAPAN; CERVIX uteri surgery; PREOPERATIVE care; BIOPSY; PREDICTIVE tests; HYPERPLASIA; RETROSPECTIVE studies; MAGNETIC resonance imaging; CERVICAL intraepithelial neoplasia; CERVIX uteri; DESCRIPTIVE statistics; HYSTEROSCOPY; CERVIX uteri tumors; SENSITIVITY &; specificity (Statistics); CONIZATION
- Publication
Healthcare (2227-9032), 2023, Vol 11, Issue 11, p1619
- ISSN
2227-9032
- Publication type
Article
- DOI
10.3390/healthcare11111619