Turkish
Albanian
Arabic
Armenian
Azerbaijani
Belarusian
Bengali
Bosnian
Catalan
Czech
Danish
Deutsch
Dutch
English
Estonian
Finnish
Français
Greek
Haitian Creole
Hebrew
Hindi
Hungarian
Icelandic
Indonesian
Irish
Italian
Japanese
Korean
Latvian
Lithuanian
Macedonian
Mongolian
Norwegian
Persian
Polish
Portuguese
Romanian
Russian
Serbian
Slovak
Slovenian
Spanish
Swahili
Swedish
Turkish
Ukrainian
Vietnamese
Български
中文(简体)
中文(繁體)
Journal of Gastrointestinal Surgery 2015-Feb

Inverse association between visceral obesity and lymph node metastasis in gastric cancer.

Sadece kayıtlı kullanıcılar makaleleri çevirebilir
Giriş yapmak kayıt olmak
Bağlantı panoya kaydedilir
Se Woo Park
Hang Lak Lee
Yong Won Ju
Dae Won Jun
Oh Young Lee
Dong Soo Han
Byung Chul Yoon
Ho Soon Choi
Joon Soo Hahm

Anahtar kelimeler

Öz

BACKGROUND

The relationship between fat distribution and lymph node metastasis has not been well studied. The goal of this study was to determine the impact of visceral obesity on lymph node metastasis in gastric cancer.

METHODS

Metastatic lymph node ratio (MLR) was defined as the number of involved nodes by tumor divided by the total number of resected lymph nodes. Visceral (VFA) and subcutaneous fat areas (SFA) were determined by measuring abdominal fat volume distribution via CT scan, and visceral obesity was defined as a VFA to total fat area ratio (V/T) >0.29.

RESULTS

With lymph node metastasis as a dependent variable, the following factors were significant in multivariate analysis among 495 patients: pathologic T stage (P < 0.001), lympho-vascular invasion (P < 0.001), and V/T (hazard ratio (HR) = 0.455, 95 % confidence interval (CI) = 0.263-0.786, P = 0.005). Similarly, when MLR was the dependent variable in multivariate analysis, MLR was significantly associated with lympho-vascular invasion (HR = 2.222, 95 % CI = 1.149-4.296, P = 0.018), and V/T (HR = 0.247, 95 % CI = 0.133-0.458, P < 0.001).

CONCLUSIONS

Visceral obesity defined by higher visceral to total fat area ratio was significantly associated with decreased MLR.

Facebook sayfamıza katılın

Bilim tarafından desteklenen en eksiksiz şifalı otlar veritabanı

  • 55 dilde çalışır
  • Bilim destekli bitkisel kürler
  • Görüntüye göre bitki tanıma
  • Etkileşimli GPS haritası - bölgedeki bitkileri etiketleyin (yakında)
  • Aramanızla ilgili bilimsel yayınları okuyun
  • Şifalı bitkileri etkilerine göre arayın
  • İlgi alanlarınızı düzenleyin ve haber araştırmaları, klinik denemeler ve patentlerle güncel kalın

Bir belirti veya hastalık yazın ve yardımcı olabilecek bitkiler hakkında bilgi edinin, bir bitki yazın ve karşı kullanıldığı hastalıkları ve semptomları görün.
* Tüm bilgiler yayınlanmış bilimsel araştırmalara dayanmaktadır

Google Play badgeApp Store badge