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Determination of ovarian transposition through prediction of postoperative adjuvant therapy in young patients with early stage cervical cancer undergoing surgery: a Korean multicenter retrospective study (KGOG 1042).
Hwang, Woo Yeon; Choi, Chel Hun; Kim, Kidong; Kim, Moon-Hong; Lim, Myong Cheol; Lee, Banghyun; Kim, Myounghwan; Kim, Yun Hwan; Seong, Seok Ju; Lee, Jong-Min.
Afiliación
  • Hwang WY; Department of Obstetrics and Gynecology, Kyung Hee University Medical Center, College of Medicine Kyung Hee University, Seoul, Korea.
  • Choi CH; Department of Obstetrics and Gynecology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Korea.
  • Kim K; Department of Obstetrics and Gynecology, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea.
  • Kim MH; Department of Obstetrics and Gynecology, Korea Cancer Center Hospital, Korea Institute of Radiological and Medical Sciences, Seoul, Korea.
  • Lim MC; National Cancer Center, Goyang, Korea.
  • Lee B; Department of Obstetrics and Gynecology, Inha University Hospital, Inha University School of Medicine, Incheon, Korea.
  • Kim M; Department of Obstetrics and Gynecology, Sanggye Paik Hospital, School of Medicine, Inje University, Seoul, Korea.
  • Kim YH; Department of Obstetrics and Gynecology, Ewha Womans University College of Medicine, Seoul, Korea.
  • Seong SJ; Department of Obstetrics and Gynecology, CHA Gangnam Medical Center, CHA University College of Medicine, Seoul, Korea.
  • Lee JM; Department of Obstetrics and Gynecology, Kyung Hee University Hospital at Gangdong, Seoul, Korea.
Obstet Gynecol Sci ; 67(3): 296-303, 2024 May.
Article en En | MEDLINE | ID: mdl-38484700
ABSTRACT

OBJECTIVE:

We aimed to predict the risk of postoperative adjuvant therapy using preoperative variables in young patients with early stage cervical cancer. The predicted risk can guide whether ovarian transposition should be performed during surgery.

METHODS:

In total, 886 patients with stage IB1-IIA cervical cancer aged 20-45 years who underwent modified radical or radical hysterectomy between January 2000 and December 2008 were included. Preoperative variables, preoperative laboratory findings, International Federation of Gynaecology and Obstetrics stage, tumor size, and pathological variables were collected. Patients with high risk factors or those who met the Sedlis criteria were considered adjuvant therapy risk (+); others were considered adjuvant therapy risk (-). A decision-tree model using preoperative variables was constructed to predict the risk of adjuvant therapy.

RESULTS:

Of 886 patients, 362 were adjuvant therapy risk (+) (40.9%). The decision-tree model with four distinct adjuvant therapy risks using tumor size and age were generated. Specifically, patients with tumor size ≤2.45 cm had low risk (49/367; 13.4%), those with tumor size ≤3.85 cm and >2.45 cm had moderate risk (136/314; 43.3%), those with tumor size >3.85 cm and age ≤39.5 years had high risk (92/109; 84.4%), and those with tumor size >3.85 cm and age >39.5 years had the highest risk (85/96; 88.5%).

CONCLUSION:

The risk of postoperative adjuvant therapy in young patients with early stage cervical cancer can be predicted using preoperative variables. We can decide whether ovarian transposition should be performed using the predicted risk.
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Obstet Gynecol Sci Año: 2024 Tipo del documento: Article Pais de publicación:

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Obstet Gynecol Sci Año: 2024 Tipo del documento: Article Pais de publicación: