A model for predicting extrauterine tumor spread in patients with endometrial cancer

Birkan Karayünlü; Mehmet Ünsal; Fatih Kılıç; Taner Aksoy; Fatih Çelik; Çiğdem Kılıç; Abdurrahman Alp Tokalıoglu; Günsu Kimyon Cömert; Taner Turan

Makale detayları

A model for predicting extrauterine tumor spread in patients with endometrial cancer

Yazarlar:

Birkan Karayünlü | Mehmet Ünsal | Fatih Kılıç | Taner Aksoy | Fatih Çelik | Çiğdem Kılıç | Abdurrahman Alp Tokalıoglu | Günsu Kimyon Cömert | Taner Turan

Yayıncı:

Hitit University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

Hitit Medical Journal Vol.5 Issue 2, pp.69-74

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001292836

pISSN:

2687-4717

Anahtar kelimeler:

Özet:

 A model for predicting extrauterine tumor spread in patients with endometrial cancer Abstract Background: The factors predicting extrauterine spread in patients undergoing staging surgery with the diagnosis of endometrial cancer were investigated. Aims: The study aimed to create a model using demographic, surgical, and pathological factors to predict extrauterine spread. Methods: Included in the study were 355 patients with a final diagnosis of endometrial cancer who underwent surgery for staging purposes. The effect of surgical-prognostic factors on extrauterine spread was analyzed using univariate analysis and multivariate logistic regression analysis. Results: Extrauterine spread was detected in 97 patients. A multivariate logistic regression model that was created to determine the factors affecting extrauterine spread identified the presence of lymphovascular invasion, cervical invasion, peritoneal cytology positivity and tumor type as independent factors. A model was created using these four independent risk factors. According to this model, the rate of extrauterine spread was 6.4 in patients who did not have the risk factors and 100 in patients who had all the risk factors p 0.05. Conclusions: The detection of extrauterine spread is essential in planning a patients treatment. The definition of this spread by using clinical and pathological factors would contribute to determining the appropriate therapy in a group of patients who underwent insufficient surgery or in whom surgery would otherwise cause significant morbidity.

 A model for predicting extrauterine tumor spread in patients with endometrial cancer Abstract Background: The factors predicting extrauterine spread in patients undergoing staging surgery with the diagnosis of endometrial cancer were investigated. Aims: The study aimed to create a model using demographic, surgical, and pathological factors to predict extrauterine spread. Methods: Included in the study were 355 patients with a final diagnosis of endometrial cancer who underwent surgery for staging purposes. The effect of surgical-prognostic factors on extrauterine spread was analyzed using univariate analysis and multivariate logistic regression analysis. Results: Extrauterine spread was detected in 97 patients. A multivariate logistic regression model that was created to determine the factors affecting extrauterine spread identified the presence of lymphovascular invasion, cervical invasion, peritoneal cytology positivity and tumor type as independent factors. A model was created using these four independent risk factors. According to this model, the rate of extrauterine spread was 6.4 in patients who did not have the risk factors and 100 in patients who had all the risk factors p 0.05. Conclusions: The detection of extrauterine spread is essential in planning a patients treatment. The definition of this spread by using clinical and pathological factors would contribute to determining the appropriate therapy in a group of patients who underwent insufficient surgery or in whom surgery would otherwise cause significant morbidity.

 A model for predicting extrauterine tumor spread in patients with endometrial cancer Abstract Background: The factors predicting extrauterine spread in patients undergoing staging surgery with the diagnosis of endometrial cancer were investigated. Aims: The study aimed to create a model using demographic, surgical, and pathological factors to predict extrauterine spread. Methods: Included in the study were 355 patients with a final diagnosis of endometrial cancer who underwent surgery for staging purposes. The effect of surgical-prognostic factors on extrauterine spread was analyzed using univariate analysis and multivariate logistic regression analysis. Results: Extrauterine spread was detected in 97 patients. A multivariate logistic regression model that was created to determine the factors affecting extrauterine spread identified the presence of lymphovascular invasion, cervical invasion, peritoneal cytology positivity and tumor type as independent factors. A model was created using these four independent risk factors. According to this model, the rate of extrauterine spread was 6.4 in patients who did not have the risk factors and 100 in patients who had all the risk factors p 0.05. Conclusions: The detection of extrauterine spread is essential in planning a patients treatment. The definition of this spread by using clinical and pathological factors would contribute to determining the appropriate therapy in a group of patients who underwent insufficient surgery or in whom surgery would otherwise cause significant morbidity.

 Amaç: Endometrium kanseri tanısı ile evreleme cerrahisi uygulanan hastalarda ekstrauterin yayılımı öngören faktörler araştırıldı. Amaç: Çalışmada ekstrauterin yayılımı tahmin etmek için demografik, cerrahi ve patolojik faktörler kullanılarak bir model oluşturmak amaçlandı. Yöntemler: Çalışmaya endometrium kanseri tanısı alan ve evreleme cerrahisi uygulanan 355 hasta dahil edildi. Cerrahi prognostik faktörlerin ekstrauterin yayılım üzerindeki etkisi, tek değişkenli analiz ve çok değişkenli lojistik regresyon analizi kullanılarak analiz edildi. Bulgular: 97 hastada ekstrauterin yayılım tespit edildi. Ekstrauterin yayılımı etkileyen faktörleri belirlemek için oluşturulan çok değişkenli bir lojistik regresyon modeli, lenfovasküler invazyon varlığını, servikal invazyonu, peritoneal sitoloji pozitifliğini ve tümör tipini bağımsız faktörler olarak belirledi. Bu dört bağımsız risk faktörü kullanılarak bir model oluşturulmuştur. Bu modele göre, risk faktörlerine sahip olmayan hastalarda ekstrauterin yayılım oranı 6,4, tüm risk faktörlerine sahip hastalarda 100 idi p0,05. Sonuçlar: Endometrium kanseri tedavisinin planlanmasında ekstrauterin yayılımın tespiti esastır. Bu yayılımın klinik ve patolojik faktörler kullanılarak tanımlanması, yetersiz cerrahi uygulanan veya cerrahinin ciddi morbiditeye neden olacağı bir grup hastada uygun tedavinin belirlenmesine katkı sağlayacaktır.

Makale detayları

A model for predicting extrauterine tumor spread in patients with endometrial cancer

Yazarlar:

Birkan Karayünlü | Mehmet Ünsal | Fatih Kılıç | Taner Aksoy | Fatih Çelik | Çiğdem Kılıç | Abdurrahman Alp Tokalıoglu | Günsu Kimyon Cömert | Taner Turan

Yayıncı:

Hitit University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

Hitit Medical Journal Vol.5 Issue 2, pp.69-74

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001292836

pISSN:

2687-4717

Endometrial cancer

extrauterine spread

lymphatic/nonlymphatic metastasis

modelEndometrium kanseri

ekstrauterin yayılım

lenfatik/lenfatik olmayan metastaz

Sayı

Makale detayları

A model for predicting extrauterine tumor spread in patients with endometrial cancer

Yazarlar: Birkan Karayünlü | Mehmet Ünsal | Fatih Kılıç | Taner Aksoy | Fatih Çelik | Çiğdem Kılıç | Abdurrahman Alp Tokalıoglu | Günsu Kimyon Cömert | Taner Turan

Yayıncı: Hitit University

Ana Başlıklar: Klinik Tıp Bilimleri

Dergi: Hitit Medical Journal Vol.5 Issue 2, pp.69-74

Belge Tipi: Makale

Yayın Tarihi: 6/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001292836

pISSN: 2687-4717

Endometrial cancer

extrauterine spread

lymphatic/nonlymphatic metastasis

modelEndometrium kanseri

ekstrauterin yayılım

lenfatik/lenfatik olmayan metastaz

Sayı

Yazarlar:

Birkan Karayünlü | Mehmet Ünsal | Fatih Kılıç | Taner Aksoy | Fatih Çelik | Çiğdem Kılıç | Abdurrahman Alp Tokalıoglu | Günsu Kimyon Cömert | Taner Turan

Yayıncı:

Hitit University

Ana Başlıklar:

Klinik Tıp Bilimleri

Dergi:

Hitit Medical Journal Vol.5 Issue 2, pp.69-74

Belge Tipi:

Makale

Yayın Tarihi:

6/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001292836

pISSN:

2687-4717