Test Retest Reproducibility of Organ Volume Measurements in ADPKD Using 3D Multimodality Deep Learning
Academic Radiology - 2023
Tài liệu tham khảo
Grantham, 2016, The importance of total kidney volume in evaluating progression of polycystic kidney disease, Nat Rev Nephrol, 12, 667, 10.1038/nrneph.2016.135
Chapman, 2012, Kidney volume and functional outcomes in autosomal dominant polycystic kidney disease, Clin J Am Soc Nephrol, 7, 479, 10.2215/CJN.09500911
Torres, 2016, Effect of tolvaptan in autosomal dominant polycystic kidney disease by CKD stage: results from the TEMPO 3:4 trial, Clin J Am Soc Nephrol, 11, 803, 10.2215/CJN.06300615
Torres, 2017, Tolvaptan in later-stage autosomal dominant polycystic kidney disease, N Engl J Med, 377, 1930, 10.1056/NEJMoa1710030
Irazabal, 2015, Imaging classification of autosomal dominant polycystic kidney disease: a simple model for selecting patients for clinical trials, J Am Soc Nephrol, 26, 160
Demoulin, 2021, Limited performance of estimated total kidney volume for follow-up of ADPKD, Kidney Int Rep, 6, 2821, 10.1016/j.ekir.2021.08.013
Sharma, 2017, Kidney volume measurement methods for clinical studies on autosomal dominant polycystic kidney disease, PLoS ONE, 12, 10.1371/journal.pone.0178488
Sharbatdaran, 2022, Deep learning automation of kidney, liver, and spleen segmentation for organ volume measurements in autosomal dominant polycystic kidney disease, Tomography, 8, 1804, 10.3390/tomography8040152
van Gastel, 2019, Automatic measurement of kidney and liver volumes from MR images of patients affected by autosomal dominant polycystic kidney disease, J Am Soc Nephrol, 30, 1514
Kline, 2017, Performance of an artificial multi-observer deep neural network for fully automated segmentation of polycystic kidneys, J Digit Imaging, 30, 442, 10.1007/s10278-017-9978-1
Kim, 2016, Automated segmentation of kidneys from MR images in patients with autosomal dominant polycystic kidney disease, Clin J Am Soc Nephrol, 11, 576, 10.2215/CJN.08300815
Jagtap, 2022, Automated measurement of total kidney volume from 3D ultrasound images of patients affected by polycystic kidney disease and comparison to MR measurements, Abdom Radiol, 47, 2408, 10.1007/s00261-022-03521-5
Goel, 2022, Deployed deep learning kidney segmentation for polycystic kidney disease MRI, Radiol Artif Intell, 4, 10.1148/ryai.210205
Raj, 2022, Deep learning-based total kidney volume segmentation in autosomal dominant polycystic kidney disease using attention, cosine loss, and sharpness aware minimization, Diagnostics, 12, 1159, 10.3390/diagnostics12051159
Mu, 2019, Automatic MR kidney segmentation for autosomal dominant polycystic kidney disease, Proc. SPIE, 10950
Taylor, 2022, MO012: development of an accurate automated segmentation algorithm to measure total kidney volume in ADPKD suitable for clinical application (the cystvas study), Nephrol Dialysis Transplant, 37
Keshwani D., Kitamura Y., Li Y. Computation of Total Kidney Volume from CT images in Autosomal Dominant Polycystic Kidney Disease using Multi-Task 3D Convolutional Neural Networks. arXiv 2018.
Onthoni, 2020, Deep learning assisted localization of polycystic kidney on contrast-enhanced CT images, Diagnostics, 10, 1113, 10.3390/diagnostics10121113
Shin, 2020, Expert-level segmentation using deep learning for volumetry of polycystic kidney and liver, Investig Clin Urol, 61, 555, 10.4111/icu.20200086
Hsiao, 2022, A deep learning-based precision and automatic kidney segmentation system using efficient feature pyramid networks in computed tomography images, Comput Methods Programs Biomed, 221
Potretzke, 2023, Clinical implementation of an artificial intelligence algorithm for magnetic resonance–derived measurement of total kidney volume, Mayo Clin Proc, 98, 689, 10.1016/j.mayocp.2022.12.019
Dev, 2023, Effect of averaging measurements from multiple MRI pulse sequences on kidney volume reproducibility in autosomal dominant polycystic kidney disease, J Magn Reson Imaging, 58, 1153, 10.1002/jmri.28593
Zhu, 2023, Clinical quality control of MRI total kidney volume measurements in autosomal dominant polycystic kidney disease, Tomography, 9, 1341, 10.3390/tomography9040107
Yin, 2019, Spleen phenotype in autosomal dominant polycystic kidney disease, Clinical Radiology, 74, 975.e917, 10.1016/j.crad.2019.08.015
Isensee, 2021, nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation, Nat Methods, 18, 203, 10.1038/s41592-020-01008-z
Zhang, 2019, Relationship of seminal megavesicles, prostate median cysts, and genotype in autosomal dominant polycystic kidney disease, J Magn Reson Imaging, 49, 894, 10.1002/jmri.26289
Farooq, 2017, Complex liver cysts in autosomal dominant polycystic kidney disease, Clin Imaging, 46, 98, 10.1016/j.clinimag.2017.07.014
Liu, 2023, Pleural effusions on MRI in autosomal dominant polycystic kidney disease, J Clin Med, 12, 386, 10.3390/jcm12010386
Kim, 2015, Seminal vesicles in autosomal dominant polycystic kidney disease, Codon Publications, 443
Deng J., Dong W., Socher R., et al. ImageNet: A large-scale hierarchical image database. In Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Florida, USA, 18 Aug 2009.
Ronneberger, 2015, U-Net: convolutional networks for biomedical image segmentation, arXiv
Zhang, 2015, Deep learning with elastic averaging SGD, arXiv
Edwards, 2021, Automated total kidney volume measurements in pre-clinical magnetic resonance imaging for resourcing imaging data, annotations, and source code, Kidney Int, 99, 763, 10.1016/j.kint.2020.07.040
Zöllner, 2012, Assessment of kidney volumes from MRI: acquisition and segmentation techniques, Am J Roentgenol, 199, 1060, 10.2214/AJR.12.8657
van Gastel, 2018, T1 vs. T2 weighted magnetic resonance imaging to assess total kidney volume in patients with autosomal dominant polycystic kidney disease, Abdom Radiol, 43, 1215, 10.1007/s00261-017-1285-2
Torres, 2012, Tolvaptan in patients with autosomal dominant polycystic kidney disease, N Engl J Med, 367, 2407, 10.1056/NEJMoa1205511
Bae, 2009, MRI-based kidney volume measurements in ADPKD: reliability and effect of gadolinium enhancement, Clin J Am Soc Nephrol, 4, 719, 10.2215/CJN.03750708
Riyahi, 2021, Hemorrhagic cysts and other MR biomarkers for predicting renal dysfunction progression in autosomal dominant polycystic kidney disease, J Magn Reson Imaging, 53, 564, 10.1002/jmri.27360
Kline, 2017, Image texture features predict renal function decline in patients with autosomal dominant polycystic kidney disease, Kidney Int, 92, 1206, 10.1016/j.kint.2017.03.026
Karner, 2022, Cyst fraction as a biomarker in autosomal dominant polycystic kidney disease, J Clin Med, 12, 326, 10.3390/jcm12010326