BACKGROUND: Kidney volume (KV) becomes clinically relevant in autosomal dominant polycystic kidney disease (ADPKD) management. KV can be conveniently estimated (ceKV) using ellipsoid volume equations with three axes measurements; however, the accuracy and reliability are unknown. METHODS: KVs of 347 kidneys in 177 consecutive ADPKD patients were determined with a volumetric method (standard-KV), and ceKV was calculated using six different ellipsoid equations with three axes measurements using magnetic resonance imaging. The inter- and intraobserver reliabilities were analyzed using intraclass correlation coefficients (ICCs). Ellipsoid-KVs were obtained by linear regression analysis between standard-KV and ceKVs, and six ellipsoid-KVs were validated with a bootstrap model. RESULTS: The ICCs of intra- and interobserver reliabilities in standard-KV and axes measurements were highly reliable. All ceKVs underestimated standard-KV and % differences between ceKV and standard-KV were reduced by ellipsoid-KVs. Bootstrap analyses suggested that six ellipsoid-KVs reliably simulated standard-KV. CONCLUSION: Among six ellipsoid-KVs, ellipsoid-KV3 = 84 + 1.01 x π/24 × Length × (sum of two width measurements)(2) relatively accurately simulated the standard-KV. Kidney volume estimation using ellipsoid equations is reliably applied to clinical management of ADPKD while recognizing wide scattering in the difference between estimated and volumetrically measured kidney volume.
BACKGROUND: Kidney volume (KV) becomes clinically relevant in autosomal dominant polycystic kidney disease (ADPKD) management. KV can be conveniently estimated (ceKV) using ellipsoid volume equations with three axes measurements; however, the accuracy and reliability are unknown. METHODS: KVs of 347 kidneys in 177 consecutive ADPKDpatients were determined with a volumetric method (standard-KV), and ceKV was calculated using six different ellipsoid equations with three axes measurements using magnetic resonance imaging. The inter- and intraobserver reliabilities were analyzed using intraclass correlation coefficients (ICCs). Ellipsoid-KVs were obtained by linear regression analysis between standard-KV and ceKVs, and six ellipsoid-KVs were validated with a bootstrap model. RESULTS: The ICCs of intra- and interobserver reliabilities in standard-KV and axes measurements were highly reliable. All ceKVs underestimated standard-KV and % differences between ceKV and standard-KV were reduced by ellipsoid-KVs. Bootstrap analyses suggested that six ellipsoid-KVs reliably simulated standard-KV. CONCLUSION: Among six ellipsoid-KVs, ellipsoid-KV3 = 84 + 1.01 x π/24 × Length × (sum of two width measurements)(2) relatively accurately simulated the standard-KV. Kidney volume estimation using ellipsoid equations is reliably applied to clinical management of ADPKD while recognizing wide scattering in the difference between estimated and volumetrically measured kidney volume.
Authors: S Weiner; M Strinitz; J Herfurth; F Hessenauer; C Nauroth-Kreß; T Kampf; G A Homola; N Üçeyler; C Sommer; M Pham; M Schindehütte Journal: AJNR Am J Neuroradiol Date: 2022-04-21 Impact factor: 3.825
Authors: Akshay Goel; George Shih; Sadjad Riyahi; Sunil Jeph; Hreedi Dev; Rejoice Hu; Dominick Romano; Kurt Teichman; Jon D Blumenfeld; Irina Barash; Ines Chicos; Hanna Rennert; Martin R Prince Journal: Radiol Artif Intell Date: 2022-02-16
Authors: Kanishka Sharma; Anna Caroli; Le Van Quach; Katja Petzold; Michela Bozzetto; Andreas L Serra; Giuseppe Remuzzi; Andrea Remuzzi Journal: PLoS One Date: 2017-05-30 Impact factor: 3.240
Authors: Nathalie Demoulin; Victoria Nicola; Nicolas Michoux; Valentine Gillion; Thien Anh Ho; Caroline Clerckx; Yves Pirson; Laurence Annet Journal: Kidney Int Rep Date: 2021-08-19
Authors: Kanishka Sharma; Christian Rupprecht; Anna Caroli; Maria Carolina Aparicio; Andrea Remuzzi; Maximilian Baust; Nassir Navab Journal: Sci Rep Date: 2017-05-17 Impact factor: 4.379