John P. Sfakianos
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
John P. Sfakianos has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
Daniel A. Thorner
SUNY Downstate Medical Center – Urology, New York, NY, USA
1 shared publicationHarry W. Herr
MSKCC – Urology, New York, NY, USA
1 shared publicationJeffrey P. Weiss
SUNY Downstate Medical Center – Urology, New York, NY, USA
1 shared publicationJorge Rioja
MSKCC – Urology, New York, NY, USA
1 shared publicationNicholas T. Karanikolas
SUNY Downstate Medical Center – Urology, New York, NY, USA
1 shared publicationOstap Dovirak
SUNY Downstate Medical Center – Urology, New York, NY, USA
1 shared publication
Latest Publications
- 31 May 2011
- Published by Wiley in BJU International
- Vol. 108 (10) , 1578-1581
Optimizing prostate cancer detection during biopsy by standardizing the amount of tissue examined per core
Study Type – Diagnostic (exploratory cohort) Level of Evidence 2b What’s known on the subject? and What does the study add? The main goal of a prostate biopsy is to identify clinically relevant prostate cancer with the lowest possible morbidity from the procedure. Over time, many have tried different variations in the procedure in an attempt to find the optimal methodology for performing prostate biopsies. These changes include better equipment in helping optimize cancer localization, varying the number of cores in efforts to improve cancer detection, and sampling various areas of the prostate to find cancer that might be difficult to identify. To our knowledge we are the first to describe performing prostate biopsies by keeping the sampling size constant and varying the number of cores based on the size of the prostate. The study adds a variation in the current techniques used for prostate biopsies. In certain situations, using a standard number of cores makes obtaining proper sampling of a prostate difficult. We propose a methodology in performing prostate biopsies that will allow for standardization of the tissue per core analysed, thus improving the sampling of the prostate. OBJECTIVE: • To investigate the effect on cancer detection by varying the number of cores taken for prostate biopsy according to the size of the prostate. PATIENTS AND METHODS: • A retrospective review of a prospectively registered prostate biopsy database identified 3040 consecutive patients undergoing prostate biopsy at a Veterans Administration Hospital between 1994 and 2008. • Of 2224 biopsies, 681 (31%) were found to have cancer and 1540 (69%) had negative biopsies. • Prostate volume to biopsy core ratios (volume/number of cores) were derived and a comparative analysis was performed to determine the impact on cancer detection rates. RESULTS: • The median prostate volume was significantly smaller for those patients diagnosed with prostate cancer than for those with negative biopsies (33 vs 43 cc, P = 0.01). • The median number of cores was the same for both groups of patients (median 12, P = 0.66). • The median transrectal ultrasonography TRUS size/core ratio was 3.5 [interquartile range (IQR) 2.5] for patients with identified cancer as compared with 4.7 (IQR = 3.9) for those with negative biopsies ( P = 0.000). • On multivariable logistic regression analysis TRUS size/core ratio had a significant impact on cancer detection with a relative risk ratio of 1.29 (95% confidence interval, 1.1–1.5, P = 0.001) even when controlled for age, race, prostate volume, digital rectal examination and prostate‐specific antigen level. CONCLUSIONS: • Prostate cancer detection can be enhanced by individualizing the number of cores performed to a real‐time prostate volume sampling. • The present study emphasizes that optimal cancer detection rates were observed when a ratio of 3.5 cc per tissue core was achieved. • Proper prospectively designed studies must be performed to further validate these findings.
- 31 May 2011
- Published by Wiley in BJU International
- Vol. 108 (10) , 1578-1581
Optimizing prostate cancer detection during biopsy by standardizing the amount of tissue examined per core
Study Type – Diagnostic (exploratory cohort) Level of Evidence 2b What’s known on the subject? and What does the study add? The main goal of a prostate biopsy is to identify clinically relevant prostate cancer with the lowest possible morbidity from the procedure. Over time, many have tried different variations in the procedure in an attempt to find the optimal methodology for performing prostate biopsies. These changes include better equipment in helping optimize cancer localization, varying the number of cores in efforts to improve cancer detection, and sampling various areas of the prostate to find cancer that might be difficult to identify. To our knowledge we are the first to describe performing prostate biopsies by keeping the sampling size constant and varying the number of cores based on the size of the prostate. The study adds a variation in the current techniques used for prostate biopsies. In certain situations, using a standard number of cores makes obtaining proper sampling of a prostate difficult. We propose a methodology in performing prostate biopsies that will allow for standardization of the tissue per core analysed, thus improving the sampling of the prostate. OBJECTIVE: • To investigate the effect on cancer detection by varying the number of cores taken for prostate biopsy according to the size of the prostate. PATIENTS AND METHODS: • A retrospective review of a prospectively registered prostate biopsy database identified 3040 consecutive patients undergoing prostate biopsy at a Veterans Administration Hospital between 1994 and 2008. • Of 2224 biopsies, 681 (31%) were found to have cancer and 1540 (69%) had negative biopsies. • Prostate volume to biopsy core ratios (volume/number of cores) were derived and a comparative analysis was performed to determine the impact on cancer detection rates. RESULTS: • The median prostate volume was significantly smaller for those patients diagnosed with prostate cancer than for those with negative biopsies (33 vs 43 cc, P = 0.01). • The median number of cores was the same for both groups of patients (median 12, P = 0.66). • The median transrectal ultrasonography TRUS size/core ratio was 3.5 [interquartile range (IQR) 2.5] for patients with identified cancer as compared with 4.7 (IQR = 3.9) for those with negative biopsies ( P = 0.000). • On multivariable logistic regression analysis TRUS size/core ratio had a significant impact on cancer detection with a relative risk ratio of 1.29 (95% confidence interval, 1.1–1.5, P = 0.001) even when controlled for age, race, prostate volume, digital rectal examination and prostate‐specific antigen level. CONCLUSIONS: • Prostate cancer detection can be enhanced by individualizing the number of cores performed to a real‐time prostate volume sampling. • The present study emphasizes that optimal cancer detection rates were observed when a ratio of 3.5 cc per tissue core was achieved. • Proper prospectively designed studies must be performed to further validate these findings.
- 29 November 2010
- Published by Wiley in BJU International
- Vol. 108 (4) , 526-530
Impact of smoking on outcomes after intravesical bacillus Calmette–Guérin therapy for urothelial carcinoma not invading muscle of the bladder
Study Type – Prognosis (case series) Level of Evidence 4 What's known on the subject? and What does the study add? The main goal of a prostate biopsy is to identify clinically relevant prostate cancer with the lowest possible morbidity from the procedure. Through time many have tried different variations in the procedure in an attempt to find the optimal methodology for performing prostate biopsies. These changes include better equipment in helping optimize cancer localizing, varying the number of cores in efforts to improve cancer detection and sampling various areas of the prostate to find cancer that may be hiding. To our knowledge we are the first to describe performing prostate biopsies with keeping the sampling size constant and varying the number of cores based on the size of the prostate. The study adds a variation in the current techniques used for prostate biopsies. In certain situations using a standard number of cores makes obtaining proper sampling of a prostate difficult. We propose a methodology in performing prostate biopsies that will allow for standardization of the tissue per core analyzed thus allowing for an improved sampling of the prostate. OBJECTIVE: To determine the influence of smoking on the outcomes of patient with urothelial carcinoma of the bladder (UCB) not invading muscle treated with BCG therapy. MATERIALS AND METHODS: A retrospective chart review was conducted on 623 consecutive patients treated with BCG therapy for high‐grade Ta ( n = 219; 35.2%), T1 ( n = 215; 34.5%) and/or carcinoma in situ ( n = 189; 30.3%). Cigarette smoking status was categorized as (smokers vs non‐smokers) and as (current smokers vs past smokers vs never smokers). In addition, we analyzed the time since smoking cessation as a continuous and categorical variable (smoking cessation after diagnosis vs 0.1–10 years before diagnosis vs more than 10 years before diagnosis). Association with outcomes was examined by univariate and multivariable analyses, adjusting for the effects of age, gender, stage and grade. RESULTS: The study cohort consisted of 423 males (67.9%) and 200 females (32.1%). Overall, 386 patients (62.0%) were past smokers, 97 (15.6%) were current smokers and 140 (22.5%) had never smoked. In both univariate and multivariable analyses, smoking status by any definition was not associated with the response to BCG therapy, disease recurrence, progression, all‐cause mortality or UCB‐specific mortality. TUR grade was significantly associated with disease progression. TUR stage and BCG response at 6 months were significantly associated with disease recurrence, progression, all‐cause mortality and UCB‐specific mortality. CONCLUSIONS: Smoking does not appear to affect the response to BCG therapy or long‐term oncological outcomes.
- 29 November 2010
- Published by Wiley in BJU International
- Vol. 108 (4) , 526-530
Impact of smoking on outcomes after intravesical bacillus Calmette–Guérin therapy for urothelial carcinoma not invading muscle of the bladder
Study Type – Prognosis (case series) Level of Evidence 4 What's known on the subject? and What does the study add? The main goal of a prostate biopsy is to identify clinically relevant prostate cancer with the lowest possible morbidity from the procedure. Through time many have tried different variations in the procedure in an attempt to find the optimal methodology for performing prostate biopsies. These changes include better equipment in helping optimize cancer localizing, varying the number of cores in efforts to improve cancer detection and sampling various areas of the prostate to find cancer that may be hiding. To our knowledge we are the first to describe performing prostate biopsies with keeping the sampling size constant and varying the number of cores based on the size of the prostate. The study adds a variation in the current techniques used for prostate biopsies. In certain situations using a standard number of cores makes obtaining proper sampling of a prostate difficult. We propose a methodology in performing prostate biopsies that will allow for standardization of the tissue per core analyzed thus allowing for an improved sampling of the prostate. OBJECTIVE: To determine the influence of smoking on the outcomes of patient with urothelial carcinoma of the bladder (UCB) not invading muscle treated with BCG therapy. MATERIALS AND METHODS: A retrospective chart review was conducted on 623 consecutive patients treated with BCG therapy for high‐grade Ta ( n = 219; 35.2%), T1 ( n = 215; 34.5%) and/or carcinoma in situ ( n = 189; 30.3%). Cigarette smoking status was categorized as (smokers vs non‐smokers) and as (current smokers vs past smokers vs never smokers). In addition, we analyzed the time since smoking cessation as a continuous and categorical variable (smoking cessation after diagnosis vs 0.1–10 years before diagnosis vs more than 10 years before diagnosis). Association with outcomes was examined by univariate and multivariable analyses, adjusting for the effects of age, gender, stage and grade. RESULTS: The study cohort consisted of 423 males (67.9%) and 200 females (32.1%). Overall, 386 patients (62.0%) were past smokers, 97 (15.6%) were current smokers and 140 (22.5%) had never smoked. In both univariate and multivariable analyses, smoking status by any definition was not associated with the response to BCG therapy, disease recurrence, progression, all‐cause mortality or UCB‐specific mortality. TUR grade was significantly associated with disease progression. TUR stage and BCG response at 6 months were significantly associated with disease recurrence, progression, all‐cause mortality and UCB‐specific mortality. CONCLUSIONS: Smoking does not appear to affect the response to BCG therapy or long‐term oncological outcomes.