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New technique for prostate volume assessment
by
Habes, Mohamad
, Burchardt, Martin
, Bahr, Jeanette
, Schiller, Thilo
, Hoffmann, Wolfgang
, Kühn, Jens-Peter
, Hoppe, Laura
in
Cohort Studies
/ Humans
/ Image Processing, Computer-Assisted
/ Magnetic Resonance Imaging
/ Male
/ Medicine
/ Medicine & Public Health
/ Nephrology
/ Observer Variation
/ Oncology
/ Organ Size
/ Original Article
/ Prostate - anatomy & histology
/ Prostate-Specific Antigen
/ Reproducibility of Results
/ Support Vector Machine
/ Urology
2014
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New technique for prostate volume assessment
by
Habes, Mohamad
, Burchardt, Martin
, Bahr, Jeanette
, Schiller, Thilo
, Hoffmann, Wolfgang
, Kühn, Jens-Peter
, Hoppe, Laura
in
Cohort Studies
/ Humans
/ Image Processing, Computer-Assisted
/ Magnetic Resonance Imaging
/ Male
/ Medicine
/ Medicine & Public Health
/ Nephrology
/ Observer Variation
/ Oncology
/ Organ Size
/ Original Article
/ Prostate - anatomy & histology
/ Prostate-Specific Antigen
/ Reproducibility of Results
/ Support Vector Machine
/ Urology
2014
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While trying to remove the title from your shelf something went wrong :( Kindly try again later!
Do you wish to request the book?
New technique for prostate volume assessment
by
Habes, Mohamad
, Burchardt, Martin
, Bahr, Jeanette
, Schiller, Thilo
, Hoffmann, Wolfgang
, Kühn, Jens-Peter
, Hoppe, Laura
in
Cohort Studies
/ Humans
/ Image Processing, Computer-Assisted
/ Magnetic Resonance Imaging
/ Male
/ Medicine
/ Medicine & Public Health
/ Nephrology
/ Observer Variation
/ Oncology
/ Organ Size
/ Original Article
/ Prostate - anatomy & histology
/ Prostate-Specific Antigen
/ Reproducibility of Results
/ Support Vector Machine
/ Urology
2014
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Journal Article
New technique for prostate volume assessment
2014
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Overview
Purpose
The prostate-specific antigen density (PSAD) helps distinguish between benign prostatic hyperplasia (BPH) and prostate cancer. Accurate prostate volume (PV) assessment is necessary for PSAD calculation and both BPH diagnosis and treatment response monitoring; therefore, accurate PV measurement is increasingly becoming an essential step in the urology.
Methods
Magnetic resonance imaging was used for PV estimation. A new technique based on single-class support-vector machines (S SVM) for accurate PV estimation was realized. Three estimation methods were compared; method 1: planimetry (reference), method 2: S SVM based, and method 3: prolate ellipsoid.
Results
Method 1 and method 2 depict a strong correlation (Spearman’s rank correlation coefficient
ρ
= 0.965,
p
> 0.001). The interrater reliability for method 1 and method 2 readings as expressed by the intraclass correlation coefficient (ICC) was 0.975 (
p
> 0.001). Comparison between method 3 and the two other methods shows
ρ
= 0.873 (
p
> 0.001), and
ρ
= 0.795 (
p
> 0.001), respectively. ICC was 0.54 and 0.505, respectively. The mean difference between method 1 and method 2 was −0.05 ml. The limits of agreement with the 95 % confidence interval were −3.8 to 3.7 ml. Comparing method 3 and the two other methods shows a worse agreement with mean difference of 8.6 ml (95 % confidence interval of 1.0–16.2 ml) and 8.6 ml (95 % confidence interval of −0.7 to 18.0 ml), respectively.
Conclusions
The prostate volumes obtained by our technique agreed excellently with the planimetry (reference) method. This new technique would be clinically useful for urologists in prostate volumetric analysis.
Publisher
Springer Berlin Heidelberg,Springer Nature B.V
Subject
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