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Küçük Testiküler Kitlelerde Parsiyel Orşiektomi Kararını Vermeyi Sağlayacak Ek Preoperatif Parametreler
2020
Dergi:  
Bezmialem Science
Yazar:  
Özet:

Objective: We aimed to determine the predictive value of additional parameters for differentiating benign-malign tumors and to identify optimal patients for partial orchiectomy in unilateral, small (≤2 cm) testicular masses. Methods: The data of 31 patients who underwent radical orchiectomy between January 2010 and December 2017 due to unilateral and small testicular masses were retrospectively analyzed. Demographic data, histopathological tumor types, serum tumor markers, neutrophil/lymphocyte ratio (NLR), monocyte/ lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), mean platelet volume (MPV), red cell distribution width (RDW), the presence of testicular dysgenesis syndrome (TDS) and its components, postoperative follow-up outcomes were recorded. Patients were divided into two groups as benign and malignant. Results: There was no significant difference between groups in terms of AFP (p=0.116), β-hCG (p=0.205), LDH (p=0.606), MPV (p=0.087) and RDW (p=0.266); while MLR (p=0.001), NLR (p=0.036) and PLR (p=0.001) were significantly higher in malignant group. The presences of testicular microlithiasis (p=0.719), undescended testis (p=0.254), hypospadias (p=0.645), atrophic testis (p=0.409) were not different between groups; while the rate of disorders of semen parameters (p=0.043) and presence of TDS (p=0.043) were significantly higher in malignant cases. In multivariate analysis, MLR and PLR were found as predictive factors for benign-malign distinction of small testicular masses. Conclusion: In the patients in whom preoperative malignancy suspicion could not be excluded, we think that PLR, MLR, NLR, disorders of semen parameters and presence of TDS may have high predictive value for benign-malign distinction. Partial orchiectomy may be recommended in patients with suspicion of benign lesions according to these parameters.

Anahtar Kelimeler:

Additional Preoperative Parameters That Will Enable Parcial Orchectomy Decisioning in Small Testing Masses
2020
Yazar:  
Özet:

Objective: We aimed to determine the predictive value of additional parameters for differentiating benign-malign tumors and to identify optimal patients for partial orchiectomy in unilateral, small (≤2 cm) testicular masses. Methods: The data of 31 patients who underwent radical orchiectomy between January 2010 and December 2017 due to unilateral and small testicular masses were retrospectively analyzed. Demographic data, histopathological tumor types, serum tumor markers, neutrophil/lymphocyte ratio (NLR), monocyte/lymphocyte ratio (MLR), platelet/lymphocyte ratio (PLR), mean platelet volume (MPV), red cell distribution width (RDW), the presence of testicular dysgenesis syndrome (TDS) and its components, postoperative follow-up outcomes were recorded. Patients were divided into two groups as benign and malignant. Results: There was no significant difference between groups in terms of AFP (p=0.116), β-hCG (p=0.205), LDH (p=0.606), MPV (p=0.087) and RDW (p=0.266); while MLR (p=0.001), NLR (p=0.036) and PLR (p=0.001) were significantly higher in malignant group. The presences of testicular microlithiasis (p=0.719), undescended testis (p=0.254), hypospadias (p=0.645), atrophic testis (p=0.409) were not different between groups; while the rate of disorders of semen parameters (p=0.043) and the presence of TDS (p=0.043) were significantly higher in malignant cases. In multivariate analysis, MLR and PLR were found as predictive factors for benign-malign distinction of small testicular masses. Conclusion: In the patients in whom preoperative malignancy suspicion could not be excluded, we think that PLR, MLR, NLR, disorders of semen parameters and presence of TDS may have high predictive value for benign-malign distinction. Partial orchiectomy may be recommended in patients with suspicion of benign lesions according to these parameters.

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Bezmialem Science

Alan :   Sağlık Bilimleri

Dergi Türü :   Uluslararası

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Bezmialem Science