Predictors of Kidney Dimensions Measured by Multi-detector Computed Tomography (MDCT) in 930 Middle-Aged and Elderly Patients
dc.contributor.author | Ozbek, Orhan | |
dc.contributor.author | Solak, Yalcin | |
dc.contributor.author | Guler, Ibrahim | |
dc.contributor.author | Ozbiner, Huseyin | |
dc.contributor.author | Ozbek, Seda | |
dc.contributor.author | Turkmen, Kultigin | |
dc.contributor.author | Nayman, Alaaddin | |
dc.date.accessioned | 2020-03-26T18:31:05Z | |
dc.date.available | 2020-03-26T18:31:05Z | |
dc.date.issued | 2012 | |
dc.department | Selçuk Üniversitesi | en_US |
dc.description.abstract | Purpose: A few studies investigated renal size using computed tomography (CT) in middle-aged and elderly patients while taking renal function into account. Thus, we aimed to assess kidney dimensions and their predictors in patients without known renal disease by multi-detector computed tomography (MDCT). Methods: This is a 6-month-long prospective observational study. Estimated glomerular filtration rate (eGFR) was calculated with Cockcroft-Gault (CG) and modification of diet in renal disease (MDRD) formulas. Pole-to-pole kidney length (R1) was determined from coronal and sagittal oblique images. Kidney length (R2), width (R3), and parenchymal thickness were measured in axial slices. Results: The data of the 930 patients were included in this study. CG-eGFR was more closely correlated with R1, R2, and R3 than MDRD-eGFR. CG-eGFR, female gender, and presence of diabetes mellitus were independent predictors of R1 size in logistic regression analyses. Conclusion: Kidney sizes diminish with advancing age. CG-eGFR shows a better correlation with kidney dimensions compared with MDRD. Overall, age was a stronger determinant of eGFR than renal dimensions. | en_US |
dc.identifier.doi | 10.3109/0886022X.2011.635523 | en_US |
dc.identifier.endpage | 59 | en_US |
dc.identifier.issn | 0886-022X | en_US |
dc.identifier.issue | 1 | en_US |
dc.identifier.pmid | 22126414 | en_US |
dc.identifier.scopusquality | Q2 | en_US |
dc.identifier.startpage | 53 | en_US |
dc.identifier.uri | https://dx.doi.org/10.3109/0886022X.2011.635523 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12395/28325 | |
dc.identifier.volume | 34 | en_US |
dc.identifier.wos | WOS:000298189000010 | en_US |
dc.identifier.wosquality | Q4 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | PubMed | en_US |
dc.language.iso | en | en_US |
dc.publisher | INFORMA HEALTHCARE | en_US |
dc.relation.ispartof | RENAL FAILURE | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.selcuk | 20240510_oaig | en_US |
dc.subject | dimensions | en_US |
dc.subject | elderly | en_US |
dc.subject | kidney length | en_US |
dc.subject | parenchymal thickness | en_US |
dc.subject | multi-detector computed tomography | en_US |
dc.title | Predictors of Kidney Dimensions Measured by Multi-detector Computed Tomography (MDCT) in 930 Middle-Aged and Elderly Patients | en_US |
dc.type | Article | en_US |
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