Normal reference values for bladder wall thickness on CT in a healthy population.
Purpose: To determine normal bladder wall thickness on CT in patients without bladder disease.Materials and methods: Four hundred and nineteen patients presenting for trauma with normal CTs of the abdomen and pelvis were included in our retrospective study. Bladder wall thickness was assessed, and b...
| Publicado en: | Abdominal Radiology Vol. 43; no. 9; pp. 2442 - 2446 |
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| Autores principales: | , , , , |
| Formato: | Journal Article |
| Publicado: |
Springer Nature
Sep2018
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=131351270&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 131351270 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 2366004X JT14 jtl: Abdominal Radiology issn: 2366004X maglogo: N pubinfo: dt: Sep2018 vid: 43 iid: 9 pid: 237 pub: Springer Nature place: New York, New York artinfo: ui: 131351270 10.1007/s00261-018-1463-x 131351270 ppf: 2442 ppct: 4 formats: fmt: – @attributes: type: T – @attributes: type: P tig: atl: Normal reference values for bladder wall thickness on CT in a healthy population. aug: au: Fananapazir, Ghaneh Kitich, Aleksandar Lamba, Ramit Stewart, Susan L. Corwin, Michael T. affil: University of California Davis Medical Center, 4860 Y Street Suite 3100, 95817, Sacramento, CA, USA sug: ab: Purpose: To determine normal bladder wall thickness on CT in patients without bladder disease.Materials and methods: Four hundred and nineteen patients presenting for trauma with normal CTs of the abdomen and pelvis were included in our retrospective study. Bladder wall thickness was assessed, and bladder volume was measured using both the ellipsoid formula and an automated technique. Patient age, gender, and body mass index were recorded. Linear regression models were created to account for bladder volume, age, gender, and body mass index, and the multiple correlation coefficient with bladder wall thickness was computed. Bladder volume and bladder wall thickness were log-transformed to achieve approximate normality and homogeneity of variance. Variables that did not contribute substantively to the model were excluded, and a parsimonious model was created and the multiple correlation coefficient was calculated. Expected bladder wall thickness was estimated for different bladder volumes, and 1.96 standard deviation above expected provided the upper limit of normal on the log scale.Results: Age, gender, and bladder volume were associated with bladder wall thickness (p = 0.049, 0.024, and < 0.001, respectively). The linear regression model had an R2 of 0.52. Age and gender were negligible in contribution to the model, and a parsimonious model using only volume was created for both the ellipsoid and automated volumes (R2 = 0.52 and 0.51, respectively).Conclusion: Bladder wall thickness correlates with bladder wall volume. The study provides reference bladder wall thicknesses on CT utilizing both the ellipsoid formula and automated bladder volumes. pubtype: Academic Journal doctype: Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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