Literature DB >> 27341140

Semiautomated Segmentation of Polycystic Kidneys in T2-Weighted MR Images.

Timothy L Kline1, Marie E Edwards2, Panagiotis Korfiatis1, Zeynettin Akkus1, Vicente E Torres2, Bradley J Erickson1.   

Abstract

OBJECTIVE: The objective of the present study is to develop and validate a fast, accurate, and reproducible method that will increase and improve institutional measurement of total kidney volume and thereby avoid the higher costs, increased operator processing time, and inherent subjectivity associated with manual contour tracing.
MATERIALS AND METHODS: We developed a semiautomated segmentation approach, known as the minimal interaction rapid organ segmentation (MIROS) method, which results in human interaction during measurement of total kidney volume on MR images being reduced to a few minutes. This software tool automatically steps through slices and requires rough definition of kidney boundaries supplied by the user. The approach was verified on T2-weighted MR images of 40 patients with autosomal dominant polycystic kidney disease of varying degrees of severity.
RESULTS: The MIROS approach required less than 5 minutes of user interaction in all cases. When compared with the ground-truth reference standard, MIROS showed no significant bias and had low variability (mean ± 2 SD, 0.19% ± 6.96%).
CONCLUSION: The MIROS method will greatly facilitate future research studies in which accurate and reproducible measurements of cystic organ volumes are needed.

Entities:  

Keywords:  autosomal dominant polycystic kidney disease; geodesic active contour; planimetry; stereology; total kidney volume

Mesh:

Year:  2016        PMID: 27341140      PMCID: PMC5313045          DOI: 10.2214/AJR.15.15875

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  34 in total

1.  Intensity non-uniformity correction in MRI: existing methods and their validation.

Authors:  Boubakeur Belaroussi; Julien Milles; Sabin Carme; Yue Min Zhu; Hugues Benoit-Cattin
Journal:  Med Image Anal       Date:  2005-11-22       Impact factor: 8.545

2.  A morphological approach to curvature-based evolution of curves and surfaces.

Authors:  Pablo Márquez-Neila; Luis Baumela; Luis Alvarez
Journal:  IEEE Trans Pattern Anal Mach Intell       Date:  2014-01       Impact factor: 6.226

3.  A nonparametric method for automatic correction of intensity nonuniformity in MRI data.

Authors:  J G Sled; A P Zijdenbos; A C Evans
Journal:  IEEE Trans Med Imaging       Date:  1998-02       Impact factor: 10.048

4.  Supervised segmentation of polycystic kidneys: a new application for stereology data.

Authors:  Joshua D Warner; Maria V Irazabal; Ganapathy Krishnamurthi; Bernard F King; Vicente E Torres; Bradley J Erickson
Journal:  J Digit Imaging       Date:  2014-08       Impact factor: 4.056

5.  Intraobserver and interobserver variability of renal volume measurements in polycystic kidney disease using a semiautomated MR segmentation algorithm.

Authors:  Benjamin A Cohen; Irina Barash; Danny C Kim; Matthew D Sanger; James S Babb; Hersh Chandarana
Journal:  AJR Am J Roentgenol       Date:  2012-08       Impact factor: 3.959

Review 6.  Looking at the (w)hole: magnet resonance imaging in polycystic kidney disease.

Authors:  Max Christoph Liebau; Andreas Lucas Serra
Journal:  Pediatr Nephrol       Date:  2012-12-14       Impact factor: 3.714

7.  Lanreotide reduces the volume of polycystic liver: a randomized, double-blind, placebo-controlled trial.

Authors:  Loes van Keimpema; Frederik Nevens; Ragna Vanslembrouck; Martijn G H van Oijen; Aswin L Hoffmann; Helena M Dekker; Robert A de Man; Joost P H Drenth
Journal:  Gastroenterology       Date:  2009-07-29       Impact factor: 22.682

8.  Tolvaptan in patients with autosomal dominant polycystic kidney disease.

Authors:  Vicente E Torres; Arlene B Chapman; Olivier Devuyst; Ron T Gansevoort; Jared J Grantham; Eiji Higashihara; Ronald D Perrone; Holly B Krasa; John Ouyang; Frank S Czerwiec
Journal:  N Engl J Med       Date:  2012-11-03       Impact factor: 91.245

9.  Estimation of total kidney volume in autosomal dominant polycystic kidney disease.

Authors:  Edwin M Spithoven; Maatje D A van Gastel; A Lianne Messchendorp; Niek F Casteleijn; Joost P H Drenth; Carlo A Gaillard; Johan W de Fijter; Esther Meijer; Dorien J M Peters; Peter Kappert; Remco J Renken; Folkert W Visser; Jack F M Wetzels; Robert Zietse; Ron T Gansevoort
Journal:  Am J Kidney Dis       Date:  2015-07-31       Impact factor: 8.860

10.  Effect of longacting somatostatin analogue on kidney and cyst growth in autosomal dominant polycystic kidney disease (ALADIN): a randomised, placebo-controlled, multicentre trial.

Authors:  Anna Caroli; Norberto Perico; Annalisa Perna; Luca Antiga; Paolo Brambilla; Antonio Pisani; Bianca Visciano; Massimo Imbriaco; Piergiorgio Messa; Roberta Cerutti; Mauro Dugo; Luca Cancian; Erasmo Buongiorno; Antonio De Pascalis; Flavio Gaspari; Fabiola Carrara; Nadia Rubis; Silvia Prandini; Andrea Remuzzi; Giuseppe Remuzzi; Piero Ruggenenti
Journal:  Lancet       Date:  2013-08-21       Impact factor: 79.321

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  18 in total

1.  Quantitative MRI of kidneys in renal disease.

Authors:  Timothy L Kline; Marie E Edwards; Ishan Garg; Maria V Irazabal; Panagiotis Korfiatis; Peter C Harris; Bernard F King; Vicente E Torres; Sudhakar K Venkatesh; Bradley J Erickson
Journal:  Abdom Radiol (NY)       Date:  2018-03

2.  Image texture features predict renal function decline in patients with autosomal dominant polycystic kidney disease.

Authors:  Timothy L Kline; Panagiotis Korfiatis; Marie E Edwards; Kyongtae T Bae; Alan Yu; Arlene B Chapman; Michal Mrug; Jared J Grantham; Douglas Landsittel; William M Bennett; Bernard F King; Peter C Harris; Vicente E Torres; Bradley J Erickson
Journal:  Kidney Int       Date:  2017-05-20       Impact factor: 10.612

3.  Standardizing total kidney volume measurements for clinical trials of autosomal dominant polycystic kidney disease.

Authors:  Marie E Edwards; Jaime D Blais; Frank S Czerwiec; Bradley J Erickson; Vicente E Torres; Timothy L Kline
Journal:  Clin Kidney J       Date:  2018-08-29

Review 4.  A Practical Guide for Treatment of Rapidly Progressive ADPKD with Tolvaptan.

Authors:  Fouad T Chebib; Ronald D Perrone; Arlene B Chapman; Neera K Dahl; Peter C Harris; Michal Mrug; Reem A Mustafa; Anjay Rastogi; Terry Watnick; Alan S L Yu; Vicente E Torres
Journal:  J Am Soc Nephrol       Date:  2018-09-18       Impact factor: 10.121

5.  Assessing Polycystic Kidney Disease in Rodents: Comparison of Robotic 3D Ultrasound and Magnetic Resonance Imaging.

Authors:  Nathan J Beaumont; Heather L Holmes; Adriana V Gregory; Marie E Edwards; Juan D Rojas; Ryan C Gessner; Paul A Dayton; Timothy L Kline; Michael F Romero; Tomasz J Czernuszewicz
Journal:  Kidney360       Date:  2020-10-29

6.  Randomised controlled trial to determine the efficacy and safety of prescribed water intake to prevent kidney failure due to autosomal dominant polycystic kidney disease (PREVENT-ADPKD).

Authors:  Annette T Y Wong; Carly Mannix; Jared J Grantham; Margaret Allman-Farinelli; Sunil V Badve; Neil Boudville; Karen Byth; Jessie Chan; Susan Coulshed; Marie E Edwards; Bradley J Erickson; Mangalee Fernando; Sheryl Foster; Imad Haloob; David C H Harris; Carmel M Hawley; Julie Hill; Kirsten Howard; Martin Howell; Simon H Jiang; David W Johnson; Timothy L Kline; Karthik Kumar; Vincent W Lee; Maureen Lonergan; Jun Mai; Philip McCloud; Anthony Peduto; Anna Rangan; Simon D Roger; Kamal Sud; Vincent Torres; Eswari Vilayur; Gopala K Rangan
Journal:  BMJ Open       Date:  2018-01-21       Impact factor: 2.692

7.  Performance of an Artificial Multi-observer Deep Neural Network for Fully Automated Segmentation of Polycystic Kidneys.

Authors:  Timothy L Kline; Panagiotis Korfiatis; Marie E Edwards; Jaime D Blais; Frank S Czerwiec; Peter C Harris; Bernard F King; Vicente E Torres; Bradley J Erickson
Journal:  J Digit Imaging       Date:  2017-08       Impact factor: 4.056

8.  Prognostic Performance of Kidney Volume Measurement for Polycystic Kidney Disease: A Comparative Study of Ellipsoid vs. Manual Segmentation.

Authors:  Beili Shi; Pedram Akbari; Marina Pourafkari; Ioan-Andrei Iliuta; Elsa Guiard; Crystal F Quist; Xuewen Song; David Hillier; Korosh Khalili; York Pei
Journal:  Sci Rep       Date:  2019-07-29       Impact factor: 4.379

9.  Automatic Segmentation of Kidneys using Deep Learning for Total Kidney Volume Quantification in Autosomal Dominant Polycystic Kidney Disease.

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

10.  A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease.

Authors:  Roslyn J Simms; Trushali Doshi; Peter Metherall; Desmond Ryan; Peter Wright; Nicolas Gruel; Maatje D A van Gastel; Ron T Gansevoort; Wendy Tindale; Albert C M Ong
Journal:  Eur Radiol       Date:  2019-01-21       Impact factor: 5.315

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