ArticleAJR. American journal of roentgenology2016
Semiautomated Segmentation of Polycystic Kidneys in T2-Weighted MR Images.
Article in AJR. American journal of roentgenology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.
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Who cites it
26 citing papers in PubMed.
- Trial
- State of the art review of AI in renal imaging.Abdominal radiology (New York) · 2025Review
- Applying a Deep Learning Model for Total Kidney Volume Measurement in Autosomal Dominant Polycystic Kidney Disease.Bioengineering (Basel, Switzerland) · 2024Article
- An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD.Kidney international reports · 2024Article
- Total kidney volume in autosomal dominant polycystic kidney disease: intraobserver and interobserver agreement of two methods with MRI.Turkish journal of medical sciences · 2024Article
- Abdominal Imaging in ADPKD: Beyond Total Kidney Volume.Journal of clinical medicine · 2023Review
- Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation.Kidney international · 2023Article
- Clinical Implementation of an Artificial Intelligence Algorithm for Magnetic Resonance-Derived Measurement of Total Kidney Volume.Mayo Clinic proceedings · 2023Article
- Automated measurement of total kidney volume from 3D ultrasound images of patients affected by polycystic kidney disease and comparison to MR measurements.Abdominal radiology (New York) · 2022Article
- Weight loss and cystic disease progression in autosomal dominant polycystic kidney disease.iScience · 2022Article
- Non-contrast-enhanced magnetic resonance imaging can be used to assess renal cortical and medullary volumes-A validation study.Acta radiologica open · 2022Article
- Automatic semantic segmentation of kidney cysts in MR images of patients affected by autosomal-dominant polycystic kidney disease.Abdominal radiology (New York) · 2021Article
- Assessing Polycystic Kidney Disease in Rodents: Comparison of Robotic 3D Ultrasound and Magnetic Resonance Imaging.Kidney360 · 2020Article
- Biological Efficacy and Safety of Niacinamide in Patients With ADPKD.Kidney international reports · 2020Article
- A comparison between two semantic deep learning frameworks for the autosomal dominant polycystic kidney disease segmentation based on magnetic resonance images.BMC medical informatics and decision making · 2019Article
- A rapid high-performance semi-automated tool to measure total kidney volume from MRI in autosomal dominant polycystic kidney disease.European radiology · 2019Article
- RIL-Contour: a Medical Imaging Dataset Annotation Tool for and with Deep Learning.Journal of digital imaging · 2019Review
- Prognostic Performance of Kidney Volume Measurement for Polycystic Kidney Disease: A Comparative Study of Ellipsoid vs. Manual Segmentation.Scientific reports · 2019Article
- Kidney and cystic volume imaging for disease presentation and progression in the cat autosomal dominant polycystic kidney disease large animal model.BMC nephrology · 2019Article
- Standardizing total kidney volume measurements for clinical trials of autosomal dominant polycystic kidney disease.Clinical kidney journal · 2019Article
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6 authors.
Funding
Abstract
objectiveThe 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
methodsWe 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.
resultsThe 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%).
conclusionThe MIROS method will greatly facilitate future research studies in which accurate and reproducible measurements of cystic organ volumes are needed.
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