Journals / Bağcılar Tıp Bülteni / 2021 / Cilt: 6 - Sayı: 3

Differentiation of Benign and Malignant Kidney Masses via Inflammation Parameters

Benign ve Malign Böbrek Kitlelerinin Enflamasyon Markerlarıyla Ayrımı

Pages
276–279
Publication Date
2022-10-12
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: Hematological inflammatory markers are useful in predicting the pathology outcome of kidney masses before surgery.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Objective: Despite the recent advances in imaging methods, the rate of 10-20% is still insufficient in predicting the pathology of renal masses.
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Key Findings & Data:Method: One hundred sixteen patients who were operated for kidney mass between January 2010 and October 2020 were included in the study.
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Conclusion & Impact:Conclusion: Hematological inflammatory markers are useful in predicting the pathology outcome of kidney masses before surgery.
🔬Design:Research Article
📍Scope:2010 Verileri
⚙️Variables:Domain Parameters

Abstract

Objective: Despite the recent advances in imaging methods, the rate of 10-20% is still insufficient in predicting the pathology of renal masses. Therefore, we aimed to examine whether hematological inflammatory markers were useful in predicting pathology outcome. Method: One hundred sixteen patients who were operated for kidney mass between January 2010 and October 2020 were included in the study. Retrospectively, preoperative platelets, neutrophils, lymphocytes and their rates were compared with pathology results. Results: The mean age of 116 patients included in the study was 55.36±13.93 years. While pathology results of 26 (22.4%) patients were benign, results of 90 (77.6%) patients were malignant. The neutrophil and neutrophil lymphocyte ratio were significantly lower in the benign group. According to the Fuhrman grade of renal cell carcinoma, platelet and platelet lymphocyte ratio were higher in aggressive groups, whereas lymphocyte count was lower. Conclusion: Hematological inflammatory markers are useful in predicting the pathology outcome of kidney masses before surgery.

Özet

Amaç: Görüntüleme yöntemlerindeki son gelişmelere rağmen, böbrek kitlelerinin patolojisini tahmin etmede hala %10-20 oranı yetersizdir. Bu nedenle, hematolojik enflamatuvar belirteçlerin patoloji sonucunu tahmin etmede yararlı olup olmadığını incelemeyi amaçladık. Yöntem: Ocak 2010 ile Ekim 2020 tarihleri arasında böbrek kitlesi nedeniyle opere edilen 116 hasta çalışmaya dahil edildi. Retrospektif olarak preoperatif trombosit, nötrofiller, lenfosit sayıları ve oranları patoloji sonuçları ile karşılaştırıldı. Bulgular: Çalışmaya alınan 116 hastanın yaş ortalaması 55,36±13,93 yıl idi. Yirmi altı (%22,4) hastanın patoloji sonuçları benign iken 90’ı (%77,6) malign idi. Nötrofil sayısı ve nötrofil lenfosit oranı benign grupta anlamlı olarak daha düşüktü. Renal hücreli karsinomlu hastalarda yüksek Fuhrman derecelerinde trombosit sayısı ve trombosit lenfosit oranı daha yüksek iken lenfosit sayısı ise daha düşüktü. Sonuç: Hematolojik enflamatuvar belirteçler, ameliyattan öncesi böbrek kitlelerinin patoloji sonucunu tahmin etmede yararlıdır

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Cite This Article

ERYILMAZ, R., ERTAŞ, K., ASLAN, R., TAKEN, K., DEMİR, M. (2022). Differentiation of Benign and Malignant Kidney Masses via Inflammation Parameters. Bağcılar Tıp Bülteni, Cilt: 6 - Sayı: 3, 276–279. https://ajindex.com/articles/458901

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