Novel approach to estimate kidney and cyst volumes using mid-slice magnetic resonance images in polycystic kidney disease

Kyongtae T. Bae, Cheng Tao, Jinhong Wang, Diana Kaya, Zhiyuan Wu, Junu T. Bae, Arlene B. Chapman, Vicente Torres, Jared J. Grantham, Michal Mrug, William M. Bennett, Michael F. Flessner, Doug P. Landsittel

Research output: Contribution to journalArticle

31 Citations (Scopus)

Abstract

Objective: To evaluate whether kidney and cyst volumes can be accurately estimated based on limited area measurements from magnetic resonance (MR) images of patients with autosomal dominant polycystic kidney disease (ADPKD). Materials and Methods: MR coronal images of 178 ADPKD participants from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP) were analyzed. For each MR image slice, we measured kidney and renal cyst areas using stereology and region-based thresholding methods, respectively. The kidney and cyst 'observed' volumes were calculated by summing up the area measurements of all the slices covering the kidney. To estimate the volume, we selected a coronal mid-slice in each kidney and multiplied its area by the total number of slices ('PANK2' for kidney and 'PANC2' for cyst). We then compared the kidney and cyst volumes predicted from PANK2 and PANC2, respectively, to the corresponding observed volumes, using a linear regression analysis. Results: The kidney volume predicted from PANK2 correlated extremely well with the observed kidney volume (R2 = 0.994 for the right kidney and 0.991 for the left kidney). The linear regression coefficient multiplier to PANK2 that best fit the kidney volume was 0.637 (95% CI: 0.629-0.644) for the right kidney and 0.624 (95% CI: 0.616-0.633) for the left kidney. The correlation between the cyst volume predicted from PANC2 and the observed cyst volume was also very high (R 2 = 0.984 for the right kidney and 0.967 for the left kidney). The least squares linear regression coefficient for PANC2 was 0.637 (95% CI: 0.624-0.649) for the right kidney and 0.608 (95% CI: 0.591-0.625) for the left kidney. Conclusion: Kidney and cyst volumes can be closely approximated by multiplying the product of the mid-slice area measurement and the total number of slices in the coronal MR images of ADPKD kidneys by 0.61-0.64. This information will help save processing time needed to estimate total kidney and cyst volumes of ADPKD kidneys.

Original languageEnglish (US)
Pages (from-to)333-341
Number of pages9
JournalAmerican Journal of Nephrology
Volume38
Issue number4
DOIs
StatePublished - Oct 2013
Externally publishedYes

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Polycystic Kidney Diseases
Cysts
Magnetic Resonance Spectroscopy
Kidney
Autosomal Dominant Polycystic Kidney
Linear Models

Keywords

  • Kidney
  • Kidney volume
  • Magnetic resonance imaging
  • Polycystic kidney disease
  • Renal cysts

ASJC Scopus subject areas

  • Nephrology

Cite this

Novel approach to estimate kidney and cyst volumes using mid-slice magnetic resonance images in polycystic kidney disease. / Bae, Kyongtae T.; Tao, Cheng; Wang, Jinhong; Kaya, Diana; Wu, Zhiyuan; Bae, Junu T.; Chapman, Arlene B.; Torres, Vicente; Grantham, Jared J.; Mrug, Michal; Bennett, William M.; Flessner, Michael F.; Landsittel, Doug P.

In: American Journal of Nephrology, Vol. 38, No. 4, 10.2013, p. 333-341.

Research output: Contribution to journalArticle

Bae, KT, Tao, C, Wang, J, Kaya, D, Wu, Z, Bae, JT, Chapman, AB, Torres, V, Grantham, JJ, Mrug, M, Bennett, WM, Flessner, MF & Landsittel, DP 2013, 'Novel approach to estimate kidney and cyst volumes using mid-slice magnetic resonance images in polycystic kidney disease', American Journal of Nephrology, vol. 38, no. 4, pp. 333-341. https://doi.org/10.1159/000355375
Bae, Kyongtae T. ; Tao, Cheng ; Wang, Jinhong ; Kaya, Diana ; Wu, Zhiyuan ; Bae, Junu T. ; Chapman, Arlene B. ; Torres, Vicente ; Grantham, Jared J. ; Mrug, Michal ; Bennett, William M. ; Flessner, Michael F. ; Landsittel, Doug P. / Novel approach to estimate kidney and cyst volumes using mid-slice magnetic resonance images in polycystic kidney disease. In: American Journal of Nephrology. 2013 ; Vol. 38, No. 4. pp. 333-341.
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title = "Novel approach to estimate kidney and cyst volumes using mid-slice magnetic resonance images in polycystic kidney disease",
abstract = "Objective: To evaluate whether kidney and cyst volumes can be accurately estimated based on limited area measurements from magnetic resonance (MR) images of patients with autosomal dominant polycystic kidney disease (ADPKD). Materials and Methods: MR coronal images of 178 ADPKD participants from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP) were analyzed. For each MR image slice, we measured kidney and renal cyst areas using stereology and region-based thresholding methods, respectively. The kidney and cyst 'observed' volumes were calculated by summing up the area measurements of all the slices covering the kidney. To estimate the volume, we selected a coronal mid-slice in each kidney and multiplied its area by the total number of slices ('PANK2' for kidney and 'PANC2' for cyst). We then compared the kidney and cyst volumes predicted from PANK2 and PANC2, respectively, to the corresponding observed volumes, using a linear regression analysis. Results: The kidney volume predicted from PANK2 correlated extremely well with the observed kidney volume (R2 = 0.994 for the right kidney and 0.991 for the left kidney). The linear regression coefficient multiplier to PANK2 that best fit the kidney volume was 0.637 (95{\%} CI: 0.629-0.644) for the right kidney and 0.624 (95{\%} CI: 0.616-0.633) for the left kidney. The correlation between the cyst volume predicted from PANC2 and the observed cyst volume was also very high (R 2 = 0.984 for the right kidney and 0.967 for the left kidney). The least squares linear regression coefficient for PANC2 was 0.637 (95{\%} CI: 0.624-0.649) for the right kidney and 0.608 (95{\%} CI: 0.591-0.625) for the left kidney. Conclusion: Kidney and cyst volumes can be closely approximated by multiplying the product of the mid-slice area measurement and the total number of slices in the coronal MR images of ADPKD kidneys by 0.61-0.64. This information will help save processing time needed to estimate total kidney and cyst volumes of ADPKD kidneys.",
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author = "Bae, {Kyongtae T.} and Cheng Tao and Jinhong Wang and Diana Kaya and Zhiyuan Wu and Bae, {Junu T.} and Chapman, {Arlene B.} and Vicente Torres and Grantham, {Jared J.} and Michal Mrug and Bennett, {William M.} and Flessner, {Michael F.} and Landsittel, {Doug P.}",
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T1 - Novel approach to estimate kidney and cyst volumes using mid-slice magnetic resonance images in polycystic kidney disease

AU - Bae, Kyongtae T.

AU - Tao, Cheng

AU - Wang, Jinhong

AU - Kaya, Diana

AU - Wu, Zhiyuan

AU - Bae, Junu T.

AU - Chapman, Arlene B.

AU - Torres, Vicente

AU - Grantham, Jared J.

AU - Mrug, Michal

AU - Bennett, William M.

AU - Flessner, Michael F.

AU - Landsittel, Doug P.

PY - 2013/10

Y1 - 2013/10

N2 - Objective: To evaluate whether kidney and cyst volumes can be accurately estimated based on limited area measurements from magnetic resonance (MR) images of patients with autosomal dominant polycystic kidney disease (ADPKD). Materials and Methods: MR coronal images of 178 ADPKD participants from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP) were analyzed. For each MR image slice, we measured kidney and renal cyst areas using stereology and region-based thresholding methods, respectively. The kidney and cyst 'observed' volumes were calculated by summing up the area measurements of all the slices covering the kidney. To estimate the volume, we selected a coronal mid-slice in each kidney and multiplied its area by the total number of slices ('PANK2' for kidney and 'PANC2' for cyst). We then compared the kidney and cyst volumes predicted from PANK2 and PANC2, respectively, to the corresponding observed volumes, using a linear regression analysis. Results: The kidney volume predicted from PANK2 correlated extremely well with the observed kidney volume (R2 = 0.994 for the right kidney and 0.991 for the left kidney). The linear regression coefficient multiplier to PANK2 that best fit the kidney volume was 0.637 (95% CI: 0.629-0.644) for the right kidney and 0.624 (95% CI: 0.616-0.633) for the left kidney. The correlation between the cyst volume predicted from PANC2 and the observed cyst volume was also very high (R 2 = 0.984 for the right kidney and 0.967 for the left kidney). The least squares linear regression coefficient for PANC2 was 0.637 (95% CI: 0.624-0.649) for the right kidney and 0.608 (95% CI: 0.591-0.625) for the left kidney. Conclusion: Kidney and cyst volumes can be closely approximated by multiplying the product of the mid-slice area measurement and the total number of slices in the coronal MR images of ADPKD kidneys by 0.61-0.64. This information will help save processing time needed to estimate total kidney and cyst volumes of ADPKD kidneys.

AB - Objective: To evaluate whether kidney and cyst volumes can be accurately estimated based on limited area measurements from magnetic resonance (MR) images of patients with autosomal dominant polycystic kidney disease (ADPKD). Materials and Methods: MR coronal images of 178 ADPKD participants from the Consortium for Radiologic Imaging Studies of ADPKD (CRISP) were analyzed. For each MR image slice, we measured kidney and renal cyst areas using stereology and region-based thresholding methods, respectively. The kidney and cyst 'observed' volumes were calculated by summing up the area measurements of all the slices covering the kidney. To estimate the volume, we selected a coronal mid-slice in each kidney and multiplied its area by the total number of slices ('PANK2' for kidney and 'PANC2' for cyst). We then compared the kidney and cyst volumes predicted from PANK2 and PANC2, respectively, to the corresponding observed volumes, using a linear regression analysis. Results: The kidney volume predicted from PANK2 correlated extremely well with the observed kidney volume (R2 = 0.994 for the right kidney and 0.991 for the left kidney). The linear regression coefficient multiplier to PANK2 that best fit the kidney volume was 0.637 (95% CI: 0.629-0.644) for the right kidney and 0.624 (95% CI: 0.616-0.633) for the left kidney. The correlation between the cyst volume predicted from PANC2 and the observed cyst volume was also very high (R 2 = 0.984 for the right kidney and 0.967 for the left kidney). The least squares linear regression coefficient for PANC2 was 0.637 (95% CI: 0.624-0.649) for the right kidney and 0.608 (95% CI: 0.591-0.625) for the left kidney. Conclusion: Kidney and cyst volumes can be closely approximated by multiplying the product of the mid-slice area measurement and the total number of slices in the coronal MR images of ADPKD kidneys by 0.61-0.64. This information will help save processing time needed to estimate total kidney and cyst volumes of ADPKD kidneys.

KW - Kidney

KW - Kidney volume

KW - Magnetic resonance imaging

KW - Polycystic kidney disease

KW - Renal cysts

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