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    The Importance of Minimal Cortex Thickness of the Lymph Node in Axillary Ultrasound for Early-stage Breast Cancer
    (Springer, 2023) Cangoz, Kayra; Menekse, Ebru; Elverici, Eda; Ozsoy, Arzu; Ceylan, Cengiz; Korukluoglu, Birol
    [Abstract Not Available]
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    A practical scoring system to predict mortality in patients with perforated peptic ulcer
    (Bmc, 2015) Menekse, Ebru; Kocer, Belma; Topcu, Ramazan; Olmez, Aydemir; Tez, Mesut; Kayaalp, Cuneyt
    Introduction: The mortality rate of perforated peptic ulcer is still high particularly for aged patients and all the existing scoring systems to predict mortality are complicated or based on history taking which is not always reliable for elderly patients. This study's aim was to develop an easy and applicable scoring system to predict mortality based on hospital admission data. Methods: Total 227 patients operated for perforated peptic ulcer in two centers were included. All data that may be potential predictors with respect to hospital mortality were retrospectively analyzed. Results: The mortality and morbidity rates were 10.1% and 24.2%, respectively. Multivariated analysis pointed out three parameters corresponding 1 point for each which were age >65 years, albumin <= 1,5 g/dl and BUN >45 mg/dl. Its prediction rate was high with 0,931 (95% CI, 0,890 to 0,961) value of AUC. The hospital mortality rates for none, one, two and three positive results were zero, 7.1%, 34.4% and 88.9%, respectively. Conclusion: Because the new system consists only age and routinely measured two simple laboratory tests (albumin and BUN), its application is easy and prediction power is satisfactory. Verification of this new scoring system is required by large scale multicenter studies.
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    Preoperative predictive factors affecting sentinel lymph node positivity in breast cancer and comparison of their effectiveness with existing nomograms
    (Lippincott Williams & Wilkins, 2022) Ceylan, Cengiz; Ozel, Hikmet Pehlevan; Agackiran, Ibrahim; Ozdemir, Buket Altun; Atas, Hakan; Menekse, Ebru
    This study aimed to establish a strong regression model by revealing the preoperative predictive factors for sentinel lymph node (SLN) positivity in patients with early stage breast cancer (ESBC). In total, 445 patients who underwent SLN dissection for ESBC were included. All data that may be potential predictors of SLN positivity were retrospectively analyzed. Tumor size >2 cm, human epidermal growth factor receptor 2 (HER2) + status, lymphovascular invasion (LVI), palpable tumor, microcalcifications, multifocality or multicentricity, and axillary ultrasonographic findings were defined as independent predictors of SLN involvement. The area under the receiver operating characteristic (ROC) curve (AUC) values were 0.797, 0.808, and 0.870 for the Memorial Sloan-Kettering Cancer Center (MSKCC) nomogram, MD Anderson Cancer Center (MDACC) nomogram, and our regression model, respectively (P < .001). The recent model for predicting SLN status in ESBC was found to be stronger than existing nomograms. Parameters not included in current nomograms, such as palpable tumors, microcalcifications, and axillary ultrasonographic findings, are likely to make this model more meaningful.