TY - JOUR AU - Horváth, Zoltán AU - Paszt, Attila AU - Simonka, Zsolt AU - Látos, Melinda AU - Kaizer, László AU - Hamar, Sándor AU - Vörös, András AU - Ormándi, Katalin AU - Fejes, Zsuzsanna AU - Oláh, Judit Magdolna AU - Lázár, György ifj TI - Új trendek az axilla sebészi kezelésében emlőrák esetén [New trends in the surgical treatment of axilla in breast cancer] JF - MAGYAR SEBÉSZET J2 - MAGYAR SEBÉSZET VL - 75 PY - 2022 IS - 2 SP - 169 EP - 178 PG - 10 SN - 0025-0295 DO - 10.1556/1046.2022.20012 UR - https://m2.mtmt.hu/api/publication/32907892 ID - 32907892 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Lázár, György ifj AU - Baradnay, Gyula TI - A szegedi Sebészeti Klinika története a tudományos eredmények tükrében [History of the Surgical Department (University of Szeged) in the light of the scientific results] JF - MAGYAR SEBÉSZET J2 - MAGYAR SEBÉSZET VL - 75 PY - 2022 IS - 2 SP - 104 EP - 116 PG - 13 SN - 0025-0295 DO - 10.1556/1046.2022.20004 UR - https://m2.mtmt.hu/api/publication/32907718 ID - 32907718 LA - Hungarian DB - MTMT ER - TY - JOUR AU - Li, Z. AU - Shi, Y. AU - Wu, L. AU - Zhang, H. AU - Xue, J. AU - Li, W. AU - Wang, X. AU - Zhang, L. AU - Wang, Q. AU - Duo, L. AU - Wang, M. AU - Wang, G. TI - Establishment and verification of a nomogram to predict tumor-specific mortality risk in triple-negative breast cancer: a competing risk model based on the SEER cohort study JF - GLAND SURGERY J2 - GLAND SURG VL - 11 PY - 2022 IS - 12 SP - 1961 EP - 1975 PG - 15 SN - 2227-684X DO - 10.21037/gs-22-650 UR - https://m2.mtmt.hu/api/publication/33588405 ID - 33588405 N1 - Department of General Surgery, Taihe Hospital, Hubei University of Medicine, Shiyan, China Hubei Clinical Research Center for Precise Diagnosis and Treatment of Liver Cancer, Taihe Hospital, Hubei University of Medicine, Shiyan, China Hubei Key Laboratory of Embryonic Stem Cell Research, Taihe Hospital, Hubei University of Medicine, Shiyan, China Department of Oncology, Renmin Hospital, Hubei University of Medicine, Shiyan, China Export Date: 24 January 2023 Correspondence Address: Li, Z.; Department of General Surgery, China; email: lizhi2019@taihehospital.com Funding details: 2022ESOF016 Funding details: Hubei University of Medicine, HUM, 2022JJXM023 Funding text 1: Funding: This work was supported by the Open Project AB - Triple-negative breast cancer (TNBC) is the subtype of breast cancer with the worst prognosis, and traditional survival analysis methods are biased when predicting mortality. To predict the risk of death in patients with triple-negative breast cancer more precisely, a competing risk model was developed. Methods: The clinicopathological data of the TNBC patients from 2010 to 2015 were collected from the Surveillance, Epidemiology, and End Results (SEER) database. The data were assigned into a training set and testing set at a ratio of 7:3 in a randomized pattern. Univariate and multivariate competing risk models were applied to find the independent prognostic factors. A prediction nomogram for cancer-specific mortality (CSM) risk was constructed. The accuracy and discrimination of the nomogram were assessed using receiver operating characteristic (ROC) area under the curve (AUC), concordance index (C-index), and a calibration curve using the training and testing sets, respectively. Results: A total of 28,430 TNBC patients were randomly grouped into the training set (n=19,900) and the testing set (n=8,530). The median time for follow-up was 59 [1–107] months. A total of 7,014 (24.67%) patients died, among whom 4,801 (68.45%) died from breast cancer and 2,213 (31.55%) due to non-breast cancer events. The independent risk factors were primary site of tumor, grade, tumor-node-metastasis (TNM) stage, T stage, approach of surgery, chemotherapy, axillary lymph node metastases, brain metastases, and liver metastases. The prediction nomogram was constructed by using the aforementioned variables. The 1-, 3-, and 5-year AUC of CSM were predicted to be 0.856, 0.81, and 0.782, respectively, in the training set, and 0.856, 0.81, and 0.782 in the testing set, respectively. The C-index of the nomogram was 0.801 and 0.799 in the training and testing sets, respectively. As confirmed by the validation and training calibration curves, the nomogram was consistent with the results. Conclusions: We used competing risk models to identify risk factors for CSM and constructed a CSM risk prediction nomogram for TNBC patients, that may be utilized to predict CSM risk in TNBC patients clinically and assist in the creation of individualised clinical treatment options. © Gland Surgery. All Rights Reserved. LA - English DB - MTMT ER - TY - JOUR AU - Daniela, K. AU - Vladimír, M. AU - Iveta, M. TI - Overenie prÍnosu konceptu sentinelovej uzliny z aspektu radikality vÝkonov [Verification of the contribution of the sentinel node concept from the aspect of performance radicality] JF - Zdravotnícke Listy VL - 7 PY - 2019 IS - 4 SP - 60 EP - 63 PG - 4 SN - 1339-3022 UR - https://m2.mtmt.hu/api/publication/31878953 ID - 31878953 AB - Introduction: Currently, the sentinel node concept represents a miniinvasive type of procedure that significantly reduces the extent of invasive surgery in patients. In our study, we focused on verifying the difference in the treatment of breast cancer patients in the sentinel node concept. Objectives: The aim of our research is to compare patients diagnosed with breast cancer with axilla dissection and patients without axilla dissection, who were included in the sentinel node concept in the period from 2010 to 2018. Methods: In our study, we used quantitative research in the form of retrospective data analysis using a non-parametric Mann-Whitney test to verify the degree of statistical significance of differences between the observed patient groups. We processed the data obtained from 431 patients who were operated at the University Hospital Trenčín at the Obstetrics and Gynecology Clinics in Trenčín for breast cancer at the beginning of 2010 and the end of 2018. Out o 431 patients enrolled in the sentinel node concept, 152 patients had to be dissected, they represented 35 % of the patients. Their hospitalization period was shortened (p < 0.001). Based on our results, we can conclude that the sentinel node concept brings with it a benefit for patients in the form of shorter surgery, postoperative patient care without dissection of the axilla is easier, and the length of hospitalization is shorter. Conclusion: Our findings suggest that sentinel lymph node evaluation is a highly sensitive and accurate method in the early stages of breast cancer, which at the same time brings significant benefit to the patient. © 2019 Faculty of Healthcare, Alexander Dubcek University of Trencin. All rights reserved. LA - Slovak DB - MTMT ER -