Clinical application of computed tomography on prostate volume estimation in patients with lower urinary tract symptoms

Tae Wook Kang, Jae Mann Song, Kwang Jin Kim, Hyun Keun Byun, Young Joo Kim, Hyun Chul Chung, Yun Byung Chae, Hong Wook Kim, Jae Hung Jung

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)

Abstract

Purpose: To compare estimated prostate volume (PV) based on computed tomography (CT) scan and transrectal ultrasonography (TRUS) in patients with lower urinary tract symptoms (LUTS). Materials and Methods: Between January 2010 and October 2012, 107 consecutive patients with LUTS were analyzed, retrospectively. PV measures were performed by the means of ellipsoid formula (PV = π/6 [width (cm) thickness (cm) length (cm)]) from TRUS (PVTRUS) and CT (PVCT ellipsoid). In addition, PV was calculated as the sum of the area of each slice and the CT slice interval using commercial software program (PVCT 3D reconstruction). Results: Mean PVCT ellipsoid was 40.63 ± 31.06 cm3 (range, 8.34-217.46). Mean PVTRUS and PVCT 3D reconstruction were 39.20 ± 33.04 (range, 4.00-223.81) and 45.30 ± 32.98 (range, 8.90-248.30), respectively. PVCT ellipsoid was highly correlated with PVTRUS and PVCT 3D reconstruction (r = 0.935, P < .001; r = .970, P < .001, respectively). Moreover, there was very strong agreement for PV measurements with all three methods (intraclass correlation coefficient = 0.934, P < .001). Conclusion: PVCT ellipsoid is adequate method for quick volume assessment with reasonable accuracy. Therefore, we can easily predict PV by CT scan using ellipsoid formula without performing additional TRUS in patients with LUTS.

Original languageEnglish
Pages (from-to)1980-1983
Number of pages4
JournalUrology journal
Volume11
Issue number6
Publication statusPublished - 2014

All Science Journal Classification (ASJC) codes

  • Urology

Fingerprint

Dive into the research topics of 'Clinical application of computed tomography on prostate volume estimation in patients with lower urinary tract symptoms'. Together they form a unique fingerprint.

Cite this