Automatic 3D modeling of liver segments including segmental branches of portal triad and hepatic vein based on the sectioned-images / Modelado 3D automático de segmentos hepáticos, con las ramas segmentarias de la tríada portal y la vena hepática basadas en las imágenes seccionadas

SUMMARY: The liver dimensional (3D) models, consists of eight segments including portal triad (portal vein, hepatic artery, and bile duct), are necessary because it is difficult to dissect a liver and its inner structures. But it is difficult to produce 3D models from high resolution and color sectioned-images. This study presents automatic and accurate methods for producing liver 3D models from the sectionedimages. Based on the sectioned-images and color-filled-images of the liver, a 3D model including both the portal triad and hepatic vein was made. Referring to the 3D model, 3D models of liver's eight segments including the segmental branches of the portal triad and hepatic vein were completed and saved as STL format. All STL files were combined and saved as Liver-3D in PDF format for the common user. By functional subdivision of liver, the Liver-3D was divided into left (segments II, III, and, IV) and right (segments V, VI, VII, and VIII) liver in bookmark window of the PDF file. In addition, in Liver-3D, the primary to tertiary segmental branches of the portal triad could be shown in different colors. Owing to the difficulty of 3D modeling of liver including eight segments and segmental branches of the portal triad and hepatic, we started this research to find automatic methods for producing 3D models. The methods for producing liver 3D models will assist in 2D selection and 3D modeling of other complicated structures.

RESUMEN: Los modelos hepáticos dimensionales (3D) consisten en ocho segmentos que incluyen la tríada portal (vena porta, arteria hepática y conducto biliar), y son necesarios ya que es difícil disecar un hígado y sus estructuras internas. Sin embargo, es difícil producir modelos 3D a partir de imágenes en alta resolución e imágenes seccionadas en color. Este estudio presenta métodos automáticos y precisos para producir modelos 3D de hígado a partir de las imágenes seccionadas. Sobre la base de las imágenes seccionadas y las imágenes del hígado llenas de color, se realizó un modelo 3D que incluía tanto la tríada portal como la vena hepática. En referencia al modelo 3D, se completaron modelos 3D de los ocho segmentos del hígado que incluían las ramas segmentarias de la tríada portal y la vena hepática y se guardaron como formato STL. Todos los archivos STL fueron combinados y guardados como Liver-3D en formato PDF para el usuario común. Por subdivisión funcional del hígado, el hígado-3D se dividió en hígado izquierdo (segmentos II, III y IV) y derecho (segmentos V, VI, VII y VIII) en la ventana de marcador del archivo PDF. Además, en Liver-3D, las ramas segmentarias primarias a terciarias de la tríada portal podrían mostrarse en diferentes colores. Debido a la dificultad del modelado 3D del hígado, incluidos ocho segmentos y ramas segmentarias de la tríada portal y hepática, comenzamos esta investigación para encontrar métodos automáticos para producir modelos 3D. Los métodos para producir modelos 3D de hígado ayudarán en la selección 2D y el modelado 3D de otras estructuras complicadas.

Preoperative erectile function and the pathologic features of prostate cancer

Purpose We evaluated whether preoperative erectile function is associated with pathologic features in the patients who underwent radical prostatectomy (RP). Materials and Methods We reviewed medical records of 1,743 men who underwent RP from November 2003 through May 2012. Of these, 50 patients who had prior hormone therapy and 272 patients who had lacking data of International Index of Erectile Function-5 (IIEF-5) were excluded. Men whose IIEF-5 was in the lower 25 percentile were assigned as Low Erectile Function group and the others were assigned as Control group. We compared pathologic features using univariable and multivariable logistic regression analysis between two groups. Results A total of 1,421 patients were included in the analysis. Patients’ age was 65.8 ± 6.7 years and prostate-specific antigen (PSA) was 12.8±16.1 ng/mL. Median and low 25 percentile of IIEF-5 were 14 and 8, respectively. Low Erectile Function group (IIEF-5<8) had higher risk to have high Gleason score (≥7(4+3), odds ratio (OR) 1.642, p<0.001) and large tumor volume (≥5 mL, OR 1.292, p=0.042). Even after adjusting age, year of surgery, body mass index, Charlson comorbidity index, PSA, clinical stage and biopsy Gleason score, Low Erectile Function group still had higher risk of high Gleason score (OR 1.910, p<0.001) and large tumor volume (OR 1.390, p=0.04) by multivariable logistic regressions. Conclusions Lower erectile function before RP was associated with higher Gleason’s score and larger tumor volume in final pathology. Thus, erectile function could be a surrogate barometer for prostate cancer aggressiveness. .

Clinical utility of prostate-specific antigen mass ratio for prediction of prostate cancer detection on a repeated prostate biopsy

Purpose To assess the clinical utility of the prostate-specific antigen mass ratio (PSA-MR), a newly developed PSA derivative, simply defined as the (i) PSA density (PSA-D) multiplied by the plasma volume or (ii) total PSA amount in circulation per prostate volume, for predicting prostate cancer (PCa) among men undergoing repeated prostate biopsy (PBx). Materials and Methods Patients (n = 286), who underwent a repeated PBx, were analyzed. The various parameters associated with PCa detection were noted in each patient. PSA-MR was also calculated. Results PCa was detected in 63 (22.0%) of 286 patients. PSA-MR was the independent predictor in the univariate- and multivariate logistic regression analyses (OR = 3.448, p = 0.001 and OR = 13.430, p = 0.033, respectively). A nomogram that incorporated PSA-MR was considered a useful tool (predictive accuracy: 79.2%, 95% CI: 0.726-0.858, p < 0.001). Furthermore, a nomogram that incorporated PSA-MR would have avoided 59.6% of unnecessary repeated PBx. The predictive accuracy of PSA-MR was also superior to that of PSA or PSA-D (p = 0.013 and 0.009, respectively). Conclusions PSA-MR was an independent predictor, and its consideration would have avoided 59.6% of unnecessary repeated PBx for PCa detection. PSA-MR was also superior than PSA or PSA-D. Our results support the use of PSA-MR to facilitate counseling with patients after a negative initial PBx, and use of PSA-MR might reduce further unnecessary biopsies. .