Assessment of Kidney Volume in Polycystic Kidney Disease Using Magnetic Resonance Imaging without Contrast Medium

被引:28
|
作者
Mignani, Renzo [1 ]
Corsi, Cristiana [4 ]
De Marco, Mariangela [4 ]
Caiani, Enrico G. [3 ]
Santucci, Gioele [2 ]
Cavagna, Enrico [2 ]
Severi, Stefano [4 ]
Cagnoli, Leonardo [1 ]
机构
[1] Infermi Hosp, Nephrol & Dialysis Unit, IT-47900 Rimini, Italy
[2] Infermi Hosp, Radiol Unit, IT-47900 Rimini, Italy
[3] Politecn Milan, Dept Biomed Engn, I-20133 Milan, Italy
[4] Univ Bologna, Dept Elect Comp Sci & Syst, Cesena, Italy
关键词
Autosomal-dominant polycystic kidney disease; Chronic kidney disease; Magnetic resonance imaging; Renal volume; COMPUTED-TOMOGRAPHY; RENAL CYST; PROGRESSION; ADPKD; RELIABILITY; CONSORTIUM; GROWTH; COHORT; MRI;
D O I
10.1159/000324039
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Background/Aims: Total renal volume (TRV) is an important index to evaluate the progression of autosonnal-dominant polycystic kidney disease (ADPKD). TRV has been assessed by manually tracing renal contours from CT or MR scans, often employing contrast medium (CM). We developed a fast and nearly automated technique based on the analysis of MR images acquired without CM injection for TRV quantification. Methods: 30 ADPKD patients underwent MRI. After the selection of one point inside each kidney for the entire volume, the automatic extraction of kidney contours was performed on each acquired slice; the segmentation procedure was based on region growing and on the application of morphological operators and curvature-based motion. The area inside each contour was calculated and TRV was derived. Volume measurements were validated by comparison with measurements obtained by stereology. Results: TRV estimated in patients was 768 +/- 545 ml (range 161-3,111 ml). The automatic measurements were in excellent correlation with the manual ones (r = 0.99, y = x - 0.7), with a small bias and narrow limits of agreement in both absolute (-5 +/- 37 ml) and percentage (-0.6 +/- 9.6%) terms. Conclusion: This preliminary study showed the feasibility of a fast and nearly automated method for determining TRV; importantly it does not require the use of potentially nephrotoxic CM. Copyright (C) 2011 S. Karger AG, Basel
引用
收藏
页码:176 / 184
页数:9
相关论文
共 50 条
  • [31] Clinical Quality Control of MRI Total Kidney Volume Measurements in Autosomal Dominant Polycystic Kidney Disease
    Zhu, Chenglin
    Dev, Hreedi
    Sharbatdaran, Arman
    He, Xinzi
    Shimonov, Daniil
    Chevalier, James M.
    Blumenfeld, Jon D.
    Wang, Yi
    Teichman, Kurt
    Shih, George
    Goel, Akshay
    Prince, Martin R.
    TOMOGRAPHY, 2023, 9 (04) : 1341 - 1355
  • [32] Intracystic magnetic resonance imaging in patients with autosomal dominant polycystic kidney disease: features of severe cyst infection in a case–control study
    Tatsuya Suwabe
    Yoshifumi Ubara
    Toshiharu Ueno
    Noriko Hayami
    Junichi Hoshino
    Aya Imafuku
    Masahiro Kawada
    Rikako Hiramatsu
    Eiko Hasegawa
    Naoki Sawa
    Satoshi Saitoh
    Itsuko Okuda
    Kenmei Takaichi
    BMC Nephrology, 17
  • [33] Looking at the (w)hole: magnet resonance imaging in polycystic kidney disease
    Max Christoph Liebau
    Andreas Lucas Serra
    Pediatric Nephrology, 2013, 28 : 1771 - 1783
  • [34] Skeletal Muscle Texture Assessment Using Ultrasonography: Comparison with Magnetic Resonance Imaging in Chronic Kidney Disease
    Wilkinson, Thomas J.
    Baker, Luke A.
    Watson, Emma L.
    Nikopoulou, Katerina
    Karatzaferi, Christina
    Graham-Brown, Matthew PM.
    Smith, Alice C.
    Sakkas, Giorgos K.
    ULTRASONIC IMAGING, 2024, 46 (4-5) : 263 - 268
  • [35] Intracystic magnetic resonance imaging in patients with autosomal dominant polycystic kidney disease: features of severe cyst infection in a case-control study
    Suwabe, Tatsuya
    Ubara, Yoshifumi
    Ueno, Toshiharu
    Hayami, Noriko
    Hoshino, Junichi
    Imafuku, Aya
    Kawada, Masahiro
    Hiramatsu, Rikako
    Hasegawa, Eiko
    Sawa, Naoki
    Saitoh, Satoshi
    Okuda, Itsuko
    Takaichi, Kenmei
    BMC NEPHROLOGY, 2016, 17 : 1 - 9
  • [36] Magnetic resonance imaging preprocessing and radiomic features for classification of autosomal dominant polycystic kidney disease genotype
    Kremer, Linnea E.
    Chapman, Arlene B.
    Armato III, Samuel G.
    JOURNAL OF MEDICAL IMAGING, 2023, 10 (06)
  • [37] Volume Progression and Imaging Classification of Polycystic Liver in Early Autosomal Dominant Polycystic Kidney Disease
    Bae, Kyongtae T.
    Tao, Cheng
    Feldman, Robert
    Yu, Alan S. L.
    Torres, Vicente E.
    Perrone, Ronald D.
    Chapman, Arlene B.
    Brosnahan, Godela
    Steinman, Theodore I.
    Braun, William E.
    Mrug, Michal
    Bennett, William M.
    Harris, Peter C.
    Srivastava, Avantika
    Landsittel, Douglas P.
    Abebe, Kaleab Z.
    CLINICAL JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, 2022, 17 (03): : 374 - 384
  • [38] The importance of total kidney volume in evaluating progression of polycystic kidney disease
    Grantham, Jared J.
    Torres, Vicente E.
    NATURE REVIEWS NEPHROLOGY, 2016, 12 (11) : 667 - 677
  • [39] T1 vs. T2 weighted magnetic resonance imaging to assess total kidney volume in patients with autosomal dominant polycystic kidney disease
    Maatje D. A. van Gastel
    A. Lianne Messchendorp
    Peter Kappert
    Merel A. Kaatee
    Marissa de Jong
    Remco J. Renken
    Gert J. ter Horst
    Shekar V. K. Mahesh
    Ron T. Gansevoort
    Abdominal Radiology, 2018, 43 : 1215 - 1222
  • [40] Estimation of Total Kidney Volume in Autosomal Dominant Polycystic Kidney Disease
    Spithoven, Edwin M.
    van Gastel, Maatje D. A.
    Messchendorp, A. Lianne
    Casteleijn, Niek F.
    Drenth, Joost P. H.
    Gaillard, Carlo A.
    de Fijter, Johan W.
    Meijer, Esther
    Peters, Dorien J. M.
    Kappert, Peter
    Renken, Remco J.
    Visser, Folkert W.
    Wetzels, Jack F. M.
    Zietse, Robert
    Gansevoort, Ron T.
    AMERICAN JOURNAL OF KIDNEY DISEASES, 2015, 66 (05) : 792 - 801