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- Publisher Website: 10.1016/j.kint.2023.01.010
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Article: Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation
Title | Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation |
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Authors | |
Keywords | disease prognosis glomerular filtration rate imaging biomarkers instance segmentation outcome prediction polycystic kidney disease |
Issue Date | 1-Feb-2023 |
Publisher | Elsevier |
Citation | Kidney International, 2023, v. 104, n. 2, p. 334-342 How to Cite? |
Abstract | New image-derived biomarkers for patients affected by autosomal dominant polycystic kidney disease are needed to improve current clinical management. The measurement of total kidney volume (TKV) provides critical information for clinicians to drive care decisions. However, patients with similar TKV may present with very different phenotypes, often requiring subjective decisions based on other factors (e.g., appearance of healthy kidney parenchyma, a few cysts contributing significantly to overall TKV, etc.). In this study, we describe a new technique to individually segment cysts and quantify biometric parameters including cyst volume, cyst number, parenchyma volume, and cyst parenchyma surface area. Using data from the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) study the utility of these new parameters was explored, both quantitatively as well as visually. Total cyst number and cyst parenchyma surface area showed superior prediction of the slope of estimated glomerular filtration rate decline, kidney failure and chronic kidney disease stages 3A, 3B, and 4, compared to TKV. In addition, presentations such as a few large cysts contributing significantly to overall kidney volume were shown to be much better stratified in terms of outcome predictions. Thus, these new image biomarkers, which can be obtained automatically, will have great utility in future studies and clinical care for patients affected by autosomal dominant polycystic kidney disease. |
Persistent Identifier | http://hdl.handle.net/10722/329162 |
ISSN | 2023 Impact Factor: 14.8 2023 SCImago Journal Rankings: 3.886 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Gregory, AV | - |
dc.contributor.author | Chebib, F | - |
dc.contributor.author | Poudyal, B | - |
dc.contributor.author | Holmes, H | - |
dc.contributor.author | Yu, ASL | - |
dc.contributor.author | Landsittel, DP | - |
dc.contributor.author | Bae, KT | - |
dc.contributor.author | Chapman, AB | - |
dc.contributor.author | Frederic, RO | - |
dc.contributor.author | Mrug, M | - |
dc.contributor.author | Bennett, WM | - |
dc.contributor.author | Harris, PC | - |
dc.contributor.author | Erickson, BJ | - |
dc.contributor.author | Torres, VE | - |
dc.contributor.author | Kline, TL | - |
dc.date.accessioned | 2023-08-05T07:55:45Z | - |
dc.date.available | 2023-08-05T07:55:45Z | - |
dc.date.issued | 2023-02-01 | - |
dc.identifier.citation | Kidney International, 2023, v. 104, n. 2, p. 334-342 | - |
dc.identifier.issn | 0085-2538 | - |
dc.identifier.uri | http://hdl.handle.net/10722/329162 | - |
dc.description.abstract | <p>New image-derived biomarkers for patients affected by autosomal dominant polycystic kidney disease are needed to improve current clinical management. The measurement of total kidney volume (TKV) provides critical information for clinicians to drive care decisions. However, patients with similar TKV may present with very different phenotypes, often requiring subjective decisions based on other factors (e.g., appearance of healthy kidney parenchyma, a few cysts contributing significantly to overall TKV, etc.). In this study, we describe a new technique to individually segment cysts and quantify biometric parameters including cyst volume, cyst number, parenchyma volume, and cyst parenchyma surface area. Using data from the Consortium for Radiologic Imaging Studies of Polycystic Kidney Disease (CRISP) study the utility of these new parameters was explored, both quantitatively as well as visually. Total cyst number and cyst parenchyma surface area showed superior prediction of the slope of estimated glomerular filtration rate decline, kidney failure and chronic kidney disease stages 3A, 3B, and 4, compared to TKV. In addition, presentations such as a few large cysts contributing significantly to overall kidney volume were shown to be much better stratified in terms of outcome predictions. Thus, these new image biomarkers, which can be obtained automatically, will have great utility in future studies and clinical care for patients affected by autosomal dominant polycystic kidney disease.</p> | - |
dc.language | eng | - |
dc.publisher | Elsevier | - |
dc.relation.ispartof | Kidney International | - |
dc.rights | This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License. | - |
dc.subject | disease prognosis | - |
dc.subject | glomerular filtration rate | - |
dc.subject | imaging biomarkers | - |
dc.subject | instance segmentation | - |
dc.subject | outcome prediction | - |
dc.subject | polycystic kidney disease | - |
dc.title | Utility of new image-derived biomarkers for autosomal dominant polycystic kidney disease prognosis using automated instance cyst segmentation | - |
dc.type | Article | - |
dc.identifier.doi | 10.1016/j.kint.2023.01.010 | - |
dc.identifier.scopus | eid_2-s2.0-85148754264 | - |
dc.identifier.volume | 104 | - |
dc.identifier.issue | 2 | - |
dc.identifier.spage | 334 | - |
dc.identifier.epage | 342 | - |
dc.identifier.eissn | 1523-1755 | - |
dc.identifier.isi | WOS:001046645200001 | - |
dc.identifier.issnl | 0085-2538 | - |