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Risk Factors for Persistence or Recurrence of High-Grade Cervical Squamous Intraepithelial Lesions
Dulcimary Dias Bittencourt1, Rita Maira Zanine1, Ana Paula Martins Sebastião2
1- Universidade Federal do Paraná, Tocoginecologia - Curitiba - PR - Brasil.
Positive endocervical margins are the sole predictor of cervical intraepithelial neoplasia recurrence after conization. Other factors like lesion size or immunomarker status did not show significant association with disease persistence.
Area of Science:
- Gynecology
- Oncology
- Pathology
Background:
- Cervical intraepithelial neoplasia (CIN) 2/3 requires treatment to prevent progression to invasive cervical cancer.
- Conization procedures, including cold knife conization (CKC) and loop electrosurgical excision (LEEP), are standard treatments.
- Identifying risk factors for treatment failure is crucial for patient management.
Purpose of the Study:
- To determine if colposcopic lesion size, patient age, surgical method, margin status, or p16/Ki-67 expression predict CIN persistence or recurrence.
- To identify independent risk factors for treatment failure following conization for CIN 2/3.
Main Methods:
- A retrospective, observational study analyzed data from 271 patients with CIN 2/3 treated with CKC or LEEP.
- Variables assessed included colposcopic lesion size, age, surgical technique, surgical margin status, and p16/Ki-67 immunomarker expression.
- Logistic regression was used to evaluate associations with lesion persistence or recurrence.
Main Results:
- Of 264 patients followed, 38 experienced persistent or recurrent CIN.
- Positive endocervical margins were identified as the only independent risk factor for recurrence (p<0.001).
- No significant associations were found for lesion size, age, surgical type, or p16/Ki-67 status.
Conclusions:
- Positive endocervical margins are a critical predictor of CIN persistence or recurrence after conization.
- Routine assessment of surgical margins, particularly the endocervical margin, is essential.
- Factors such as lesion size, age, and immunomarker status do not appear to influence treatment outcomes in this cohort.
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