Urologic Oncology-seminars and Original Investigations, 2003
Background: Several prognostic models have been developed to stage hepatocellular carcinoma (HCC)... more Background: Several prognostic models have been developed to stage hepatocellular carcinoma (HCC) but there is no general consensus on which is the most reliable. We compared three prognostic indices (Okuda, CLIP, and BCLC scoring systems) in a large series of cirrhotic patients with HCC undergoing nonsurgical treatment in terms of their ability to classify patients into different risk groups Methods: We retrospectively studied 268 Italian patients with HCC. A total of 146 patients were treated with ablation, 132 with percutaneous ethanol injection, and 14 with radiofrequency ablation; 103 underwent transcatheter arterial chemoembolisation and 19 had supportive care alone. Factors determining survival were analysed by univariate and multivariate analysis using the Kaplan-Meier method and Cox proportional hazard regression models. Okuda, CLIP, and BCLC scores evaluated before treatment were applied. Results: Median survival was 25.7 months. In a multivariate analysis, portal vein thrombosis, a fetoprotein, total bilirubin, and tumour size were significant predictors of survival. Okuda, CLIP, and BCLC scores were all able to predict survival (p,0.001). They identified two, four, and six risk groups, respectively, with a median survival ranging from 27 to 19 months for Okuda, 30 to 5 months for CLIP, and 43 to 7 months for BCLC. Conclusions: Both CLIP and BCLC scores were more effective than the Okuda score in stratifying patients into different risk groups with early-intermediate HCC. However, the BCLC scoring system gave a better prediction of prognosis in patients with disease diagnosis at a very early stage.
Accumulating evidence supports the relationship between an increased number of lymph nodes (LNs) ... more Accumulating evidence supports the relationship between an increased number of lymph nodes (LNs) reported following radical cystectomy (RC) and overall outcome. We prospectively evaluated RC cases with transitional cell carcinoma of the bladder to determine which factors may contribute to the variability in the number of reported LNs. We conducted a prospective evaluation in which 144 patients undergoing RC and pelvic lymph node dissection (PLND) between June 2001 and April 2003 were included. Lymph nodes were processed as individual packets. A standard method of evaluating nodal submissions was used. A mixed statistical model was used with neoadjuvant chemotherapy, node status, pathological stage, bacillus Calmette-Guerin exposure, age and number of days from transurethral resection as the fixed effects. Surgeon and pathologist were treated as random effects. The extended PLND group had a significantly greater lymph node yield (median 22.5 nodes) compared to standard PLND (median 8), however, no staging advantage was observed in the extended dissection group. Only the type of PLND performed was associated with node yield (p <0.001). Subset analysis of patients with unexpected microscopic nodal involvement revealed that 33% had involvement of the common iliac nodes. In our series only the extent of the lymph node dissection was found to influence node yield significantly after radical cystectomy. Additionally, the observed risk of involvement of the common iliac chain in microscopically node positive cases suggests a need to include this region as part of the PLND for bladder cancer for cases without grossly involved LNs.
Due to the generally indolent nature of prostate cancer, patients must decide among a wide range ... more Due to the generally indolent nature of prostate cancer, patients must decide among a wide range of treatments, which will significantly affect both quality of life and survival. Thus, there is a need for instruments to aid patients and their physicians in decision analysis. Nomograms are instruments that predict outcomes for the individual patient. Using algorithms that incorporate multiple variables, nomograms calculate the predicted probability that a patient will reach a clinical end point of interest. Nomograms tend to outperform both expert clinicians and predictive instruments based on risk grouping. We outline principles for nomogram construction, including considerations for choice of clinical end points and appropriate predictive variables, and methods for model validation. Currently, nomograms are available to predict progression-free probability after several primary treatments for localized prostate cancer. There is need for additional models that predict other clinical end points, especially survival adjusted for quality of life.
Urologic Oncology-seminars and Original Investigations, 2003
Background: Several prognostic models have been developed to stage hepatocellular carcinoma (HCC)... more Background: Several prognostic models have been developed to stage hepatocellular carcinoma (HCC) but there is no general consensus on which is the most reliable. We compared three prognostic indices (Okuda, CLIP, and BCLC scoring systems) in a large series of cirrhotic patients with HCC undergoing nonsurgical treatment in terms of their ability to classify patients into different risk groups Methods: We retrospectively studied 268 Italian patients with HCC. A total of 146 patients were treated with ablation, 132 with percutaneous ethanol injection, and 14 with radiofrequency ablation; 103 underwent transcatheter arterial chemoembolisation and 19 had supportive care alone. Factors determining survival were analysed by univariate and multivariate analysis using the Kaplan-Meier method and Cox proportional hazard regression models. Okuda, CLIP, and BCLC scores evaluated before treatment were applied. Results: Median survival was 25.7 months. In a multivariate analysis, portal vein thrombosis, a fetoprotein, total bilirubin, and tumour size were significant predictors of survival. Okuda, CLIP, and BCLC scores were all able to predict survival (p,0.001). They identified two, four, and six risk groups, respectively, with a median survival ranging from 27 to 19 months for Okuda, 30 to 5 months for CLIP, and 43 to 7 months for BCLC. Conclusions: Both CLIP and BCLC scores were more effective than the Okuda score in stratifying patients into different risk groups with early-intermediate HCC. However, the BCLC scoring system gave a better prediction of prognosis in patients with disease diagnosis at a very early stage.
Accumulating evidence supports the relationship between an increased number of lymph nodes (LNs) ... more Accumulating evidence supports the relationship between an increased number of lymph nodes (LNs) reported following radical cystectomy (RC) and overall outcome. We prospectively evaluated RC cases with transitional cell carcinoma of the bladder to determine which factors may contribute to the variability in the number of reported LNs. We conducted a prospective evaluation in which 144 patients undergoing RC and pelvic lymph node dissection (PLND) between June 2001 and April 2003 were included. Lymph nodes were processed as individual packets. A standard method of evaluating nodal submissions was used. A mixed statistical model was used with neoadjuvant chemotherapy, node status, pathological stage, bacillus Calmette-Guerin exposure, age and number of days from transurethral resection as the fixed effects. Surgeon and pathologist were treated as random effects. The extended PLND group had a significantly greater lymph node yield (median 22.5 nodes) compared to standard PLND (median 8), however, no staging advantage was observed in the extended dissection group. Only the type of PLND performed was associated with node yield (p <0.001). Subset analysis of patients with unexpected microscopic nodal involvement revealed that 33% had involvement of the common iliac nodes. In our series only the extent of the lymph node dissection was found to influence node yield significantly after radical cystectomy. Additionally, the observed risk of involvement of the common iliac chain in microscopically node positive cases suggests a need to include this region as part of the PLND for bladder cancer for cases without grossly involved LNs.
Due to the generally indolent nature of prostate cancer, patients must decide among a wide range ... more Due to the generally indolent nature of prostate cancer, patients must decide among a wide range of treatments, which will significantly affect both quality of life and survival. Thus, there is a need for instruments to aid patients and their physicians in decision analysis. Nomograms are instruments that predict outcomes for the individual patient. Using algorithms that incorporate multiple variables, nomograms calculate the predicted probability that a patient will reach a clinical end point of interest. Nomograms tend to outperform both expert clinicians and predictive instruments based on risk grouping. We outline principles for nomogram construction, including considerations for choice of clinical end points and appropriate predictive variables, and methods for model validation. Currently, nomograms are available to predict progression-free probability after several primary treatments for localized prostate cancer. There is need for additional models that predict other clinical end points, especially survival adjusted for quality of life.
Uploads
Papers by daniel cho