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1.
Int. braz. j. urol ; 44(1): 45-52, Jan.-Feb. 2018. tab, graf
Article in English | LILACS | ID: biblio-892943

ABSTRACT

ABSTRACT Introduction Carcinosarcoma of the bladder is a very rare neoplasm. The pathogenesis of carcinosarcomas is not clearly understood and remains a subject of debate. Whilst there is some research conceptualizing the histopathological findings of bladder carcinosarcomas, the demographic features, clinical outcomes, prognosis and treatment options remain unclear. Materials and Methods We analyzed 12 consecutive cases of patients with sarcoma-toid bladder cancer who were treated surgically at a single Urology Department be-tween 1999 and 2015. Radiology, pathology and surgical reports were reviewed to determine the pathological staging at the time of cystectomy. These were directly compared with 230 patients having cystectomies for urothelial cell carcinoma. The sarcomatoid patients, were compared to patients with urothelial cell cancers. The other histological sub types, squamous cell (17), neuroendocrine (9), metastatic (7), mixed (4), adenocarcinoma (3), were not included. Results and conclusion Carcinosarcoma of the urinary bladder is often described in the literature as a highly malignant neoplasm that is rapidly lethal. We found that the sarcoma does not offer a worse prognosis than conventional high-grade urothelial car-cinoma. There is no significant difference in grade, stage, positive surgical margin rate, nodal involvement, associated prostate cancer or incidence rates of progression, all cause or disease specific mortality. There was a barely significant difference in carcinoma in-situ. However, carcinosarcomas are three times the volume of urothelial cell tumors which may contribute to its reputation as an aggressive tumour (44cc v 14cc). Sarcomatous elements do not appear, from our small study, to bestow a worse prognosis.


Subject(s)
Humans , Male , Female , Aged , Aged, 80 and over , Urinary Bladder Neoplasms/surgery , Carcinosarcoma/surgery , Prognosis , Urinary Bladder Neoplasms/mortality , Urinary Bladder Neoplasms/pathology , Carcinoma, Transitional Cell/surgery , Carcinosarcoma/mortality , Carcinosarcoma/pathology , Cystectomy , Survival Analysis , Retrospective Studies , Treatment Outcome , Middle Aged
2.
Int. braz. j. urol ; 43(2): 230-238, Mar.-Apr. 2017. tab, graf
Article in English | LILACS | ID: biblio-840830

ABSTRACT

ABSTRACT Background Prostate-specific antigen densities have limited success in diagnosing prostate cancer. We emphasise the importance of the peripheral zone when considered with its cellular constituents, the “prostatocrit”. Objective Using zonal volumes and asymmetry of glandular acini, we generate a peripheral zone acinar volume and density. With the ratio to the whole gland, we can better predict high grade and all grade cancer. We can model the gland into its acinar and stromal elements. This new “prostatocrit” model could offer more accurate nomograms for biopsy. Materials and Methods 674 patients underwent TRUS and biopsy. Whole gland and zonal volumes were recorded. We compared ratio and acinar volumes when added to a “clinic” model using traditional PSA density. Univariate logistic regression was used to find significant predictors for all and high grade cancer. Backwards multiple logistic regression was used to generate ROC curves comparing the new model to conventional density and PSA alone. Outcome and results Prediction of all grades of prostate cancer: significant variables revealed four significant “prostatocrit” parameters: log peripheral zone acinar density; peripheral zone acinar volume/whole gland acinar volume; peripheral zone acinar density/whole gland volume; peripheral zone acinar density. Acinar model (AUC 0.774), clinic model (AUC 0.745) (P=0.0105). Prediction of high grade prostate cancer: peripheral zone acinar density (“prostatocrit”) was the only significant density predictor. Acinar model (AUC 0.811), clinic model (AUC 0.769) (P=0.0005). Conclusion There is renewed use for ratio and “prostatocrit” density of the peripheral zone in predicting cancer. This outperforms all traditional density measurements.


Subject(s)
Humans , Male , Aged , Prostate/pathology , Prostatic Neoplasms/pathology , Prostatic Neoplasms/blood , Prostate-Specific Antigen/blood , Acinar Cells/pathology , Reference Standards , Biopsy , Logistic Models , Predictive Value of Tests , Reproducibility of Results , ROC Curve , Stromal Cells , Neoplasm Grading , Middle Aged
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