송재윤 교수

The accuracy of colposcopic diagnosis depends on the skill and proficiency of physicians. This study evaluated the feasibility of interpreting colposcopic images with the assistance of artificial intelligence (AI) for the diagnosis of high-grade cervical intraepithelial lesions. This study included female patients who underwent colposcopy-guided biopsy in 2020 at two institutions in the Republic of Korea. Two experienced colposcopists reviewed all images separately. The Cerviray AI® system (AIDO

Endometrial clear cell carcinomas (ECCCs) are considered to be Type II endometrial carcinomas, like uterine serous adenocarcinoma (SCA), and therefore aggressive clinical management is indicated. However, according to the limited clinical, immunohistochemical, and molecular data available in the literature, ECCCs show overlapping features of SCA and endometrioid adenocarcinomas. Therefore, questions regarding their designation as the Type II carcinomas have been raised. We performed immunohistoc

Surgical proficiency could significantly affect the oncologic outcome in MIS. A prospective study regarding sufficient surgical competence is necessary for elaborate analysis of the feasibility of minimally invasive radical hysterectomy.

OBJECTIVE: To analyse factors associated with endocervical cone margin involvement and suggest appropriate cone depth for the conization procedure. DESIGN: Retrospective cohort study. SETTING: Gynecological oncology center. POPULATION: One thousand two hundred and twenty women undergoing conization for cervical intraepithelial neoplasia (CIN) II or III or stage IA1 microinvasive cervical carcinoma. METHODS: The following factors were analysed: age, parity, gravida, conization type, margin status

BACKGROUND AND OBJECTIVES: Only a few studies have reported the learning curve for sentinel lymph node (SLN) detection in gynecologic malignancies. We investigated the learning curve for SLN detection during robot-assisted laparoscopic surgery for endometrial and cervical carcinomas. METHODS: This retrospective analysis included patients with stage IA to IIA1 cervical cancer or stage I to III endometrial cancer who underwent SLN mapping using indocyanine green during robot-assisted laparoscopic

Cervical cancer is the second most common gynecological cancer among Korean women. While nationwide screening program has developed, the pathogenesis of cervical cancer is unknown. The aim of this study was to compare the protein expression profiles between cervical squamous carcinomas and normal cervical tissues in order to identify proteins that are related to the cancer. Three cervical cancer tissue samples and three normal cervical tissue samples were obtained and protein expression was comp

AIM: Osteopontin is a secreted, integrin-binding glycophosphoprotein that is overexpressed in many types of cancers and appears to be involved in carcinogenesis and cancer progression. To understand the role of osteopontin in carcinogenesis of cervical cancer, this study was designed to determine whether osteopontin is expressed in cervical cancer and carcinoma in situ (CIS) tissue as well as in normal cervical tissue. METHODS: The expression of osteopontin was immunohistochemically analysed fro

Background: The aim of this study is to compare the surgical outcomes of single-port laparoscopic surgery (SPLS) and single-port robotic surgery (SPRS). Methods: We retrospectively analyzed patients who underwent a hysterectomy, ovarian cystectomy, or myomectomy with SPLS or SPRS from January 2020 to July 2022. Statistical analyses were performed using the SPSS chi-square test and student’s t-test. Results: A total of 566 surgeries including single-port laparoscopic hysterectomy (SPLH; n = 148),

Cervical cancer is the second most common gynecological cancer among Korean women. While nationwide screening program has developed, the pathogenesis of cervical cancer is unknown. The aim of this study was to compare the protein expression profiles between cervical squamous carcinomas and normal cervical tissues in order to identify proteins that are related to the cancer. Three cervical cancer tissue samples and three normal cervical tissue samples were obtained and protein expression was comp

Colposcopy is the gold standard diagnostic tool for identifying cervical lesions. However, the accuracy of colposcopies depends on the proficiency of the colposcopist. Machine learning algorithms using an artificial intelligence (AI) system can quickly process large amounts of data and have been successfully applied in several clinical situations. This study evaluated the feasibility of an AI system as an assistive tool for diagnosing high-grade cervical intraepithelial neoplasia lesions compare

Current ASCCP guidelines recommend repeat cytology 12 months after HPV-positive results in women aged 21-24 years with either atypical squamous cells of undetermined significance (ASCUS) or a low-grade squamous intraepithelial lesion (LSIL). The purpose of this study was to validate an algorithm in such women with ASCUS or LSIL. A multicenter cross-sectional study was carried out at three academic hospitals involving 40,847 Korean women who underwent cervical cancer screening with cytology and H

Background: The aim of this study was to evaluate the relationship between depressed mood and gynecological cancer outcomes, identifying risk factors for cancer aggravation. Methods: This study was a retrospective analysis of gynecological cancer patients (January 2020–August 2022) at Korea University Anam Hospital using Patient Health Questionnaire-9 (PHQ-9). Patients were classified into non-depressed mood (NDM)- and depressed mood (DM)-based scores. Statistical analysis was performed using St

BACKGROUND: BAG-1 (Bcl-2-associated athanogene 1) is a BCL-2 binding anti-apoptotic protein that may play a role in carcinogenesis. The purpose of this study is to compare the expression rate of BAG-1 in normal endometrium, endometrial hyperplasia and endometrial cancer, and further to determine a correlation between BAG-1 expression and clinicopathological parameters, and overall survival. METHODS: Tissue samples from 43 patients who were diagnosed with endometrial cancer, tissue samples from 2