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INTRODUCTION/BACKGROUND: Positive surgical margins (PSMs) after radical prostatectomy (RP) can increase the risk of biochemical recurrence in prostate cancer (PCa) patients. However, the prediction of the likelihood of PSMs in patients undergoing similar surgical procedures remains a challenge. We aim to develop a predictive model for PSMs in patients undergoing non-nerve-sparing RP. PATIENTS AND METHODS: In this retrospective study, we analyzed data from PCa patients who underwent minimally invasive non-nerve-sparing RP at our hospital between June 2017 and June 2021. We identified independent risk factors associated with PSMs using clinical and MRI-based parameters in univariate and multivariate logistic regression analyzes. These factors were then used to develop a nomogram for predicting the probability of PSMs. The predictive performance was validated using calibration and receiver operating characteristic curve, area under the curve ,and decision curve analysis. RESULTS: Multivariate analyzes revealed prostate-specific antigen density, tumor size, tumor location at the apex, tumor contact length, extracapsular extension (ECE) level, and apparent diffusion coefficient value as independent risk factors. A nomogram was developed and validated with high accuracy (C-index = 0.78). Furthermore, we found that 44.2% of patients diagnosed with organ-confined disease had ECE after surgery, and 29.1% of patients with Gleason scores ≤7 had higher pathological scores. Interestingly, the tumor burden calculated from PCa biopsy cores was overestimated when compared to postoperative PCa specimens. CONCLUSION: We developed a reliable nomogram for predicting the risk of PSMs in PCa patients undergoing non-nerve-sparing RP. The study highlights the importance of incorporating these parameters in personalized surgical management.
Assuntos
Margens de Excisão , Neoplasias da Próstata , Masculino , Humanos , Estudos Retrospectivos , Estadiamento de Neoplasias , Prostatectomia/métodos , Neoplasias da Próstata/diagnóstico por imagem , Neoplasias da Próstata/cirurgia , Neoplasias da Próstata/etiologia , Fatores de Risco , Antígeno Prostático Específico , Imageamento por Ressonância Magnética/métodosRESUMO
Objective:To explore the feasibility and effectiveness of medialization thyroplasty for the treatment of unilateral vocal fold immobility ï¼UVFIï¼. Method:Eight UVFI patients were performed medialization thyroplasty under local anesthesia. We made a window in the thyroid cartilage under local anesthesia, then insert the preformed silicone implant. The paralyzed vocal fold was medialized to make the glottis closed. Fibrolaryngoscope video recording, subjective voice analysis and CT thin slice scan of larynx were done before and after surgery to evaluate closure of vocal cords, improvement of voice and position of implantation. Result:The preoperative and postoperative voice handicap index 30ï¼VHI-30ï¼ of the 8 patients were 91.5ï¼64.5, 97.5ï¼ and 22.5ï¼5.0, 47.5ï¼ respectively, which showed statistical differenceï¼P<0.05ï¼. GRBAS results: The postoperative G, R, B, A were all smaller than preoperative ones, which showed statistical differenceï¼P<0.05ï¼; the pre and postoperative S was both 0. The fibrolaryhgoscope recording showed the preoperative and postoperative score of incomplete glottis closure was 1.0ï¼1.0, 1.0ï¼ and 4.0ï¼2.5, 5.0ï¼ respectively, which showed statistical differenceï¼P<0.05ï¼. Postoperative laryngeal CT showed significant vocal cord medialization on the affected side. Aspiration was significantly improved in 4 patients who were suffered from this symptom before the surgery. No complication occurred with the 8 patients during 5 to 48 months follow up. Conclusion:Medialization thyroplasty can effectively improve vocalization and quality of life in patients with UVFI.
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Laringoplastia , Paralisia das Pregas Vocais/cirurgia , Glote , Humanos , Qualidade de Vida , Prega VocalRESUMO
PURPOSE: This study aims to identify predictive local recurrence risk factors and site-specific local recurrence pattern of upper tract urothelial carcinoma (UTUC) with different primary tumor locations. METHODS: Three hundred and eighty-nine UTUC patients with radical nephroureterectomy were included in this study. Univariate and multivariate Cox proportional hazards regressions were performed to measure the risk of local recurrence. We also mapped the position of local recurrence sites stratified by primary tumor locations. RESULTS: A total of 73 patients (18.7%) developed local recurrence within a median follow-up of 41 months (range, 3-80 months). For patients with local recurrence, the median interval of local recurrence was 9 months. Ureter tumor, multifocality, T stage, G grade, lymph node metastasis (LNM), lymph node dissection (LND), and lymph vascular invasion (LVI) were all significantly associated with increased local recurrence by univariable analyses (P < 0.05). Only multifocality, T3-4, G3, and LNM remained independent predictors of increased local recurrence by multivariable analyses. Adjuvant radiotherapy could reduce the local recurrence (HR = 0.177; 95% CI 0.064-0.493, P = 0.001). Patients with local recurrence had poorer cancer-specific survival (4-year cancer-specific survival rate 36 ± 7.5% vs 88.4 ± 2.2%, P = 0.000). We evaluated local recurrence pattern stratified by tumor locations. Para-aortic lymph node region was the most common recurrence area for all the patients. Left-sided UTUC had more than 70% recurrent lymph nodes in the left para-aortic region (LPA). For right-sided UTUC patients, recurrent para-aortic lymph nodes distributed in the LPA (33.3%), aortocaval (AC) (41.5%), and right paracaval (RPC) (25.2%) regions. Recurrence in the internal and external iliac regions was only found in the distal ureter group (P < 0.05). Renal pelvic fossa recurrence was only found in renal pelvic tumor (22.2%, P = 0.007). The ureter tumor bed recurrence rate was higher for ureter patients (P = 0.001). CONCLUSIONS: Multifocality, T3-4, G3, and LNM are predictors of higher local recurrence rate of UTUC. Adjuvant radiotherapy can reduce local recurrence rate. Local recurrence patterns are different according to primary tumor locations.