| Literature DB >> 35771601 |
Adam C Powell1, James W Long2, Uday U Deshmukh1, Jeffrey D Simmons2.
Abstract
BACKGROUND: Although computed tomography (CT) studies on machines with more slices have reported higher positive and negative predictive values, the impact of using low-slice (16-slice) CT machines on downstream testing has not been well studied. In community outpatient settings, low-slice CT machines remain in use, although many hospitals have adopted higher-slice machines.Entities:
Keywords: angiography; cervicocerebral angiography; computed tomography; computed tomography angiography of the neck; computed tomography machine; diagnostic imaging; downstream testing; invasive; invasive testing; low-slice computed tomography; machine; neck; obsolescence; outpatient; testing; tomography
Year: 2022 PMID: 35771601 PMCID: PMC9284351 DOI: 10.2196/32892
Source DB: PubMed Journal: JMIR Form Res ISSN: 2561-326X
Figure 1Sample selection diagram. CT: computed tomography; MRI: magnetic resonance imaging; PCI: percutaneous coronary intervention; PET: positron emission tomography.
Descriptive statistics.
| Patient characteristic | All claims | Claims for 16-slice CTa
| Claims for 64-slice CT | |
| Below median income (vs above median income or omitted) | 715 (40.5) | 297 (46.3) | 418 (37.2) | <.001 |
| Male (vs female) | 844 (47.8) | 310 (48.4) | 534 (47.5) | .72 |
| Rural (vs urban) | 260 (14.7) | 93 (14.5) | 167 (14.8) | .85 |
| Commercial (vs Medicare) | 146 (8.3) | 34 (5.3) | 112 (10) | .001 |
| Aged under 65 years (vs ≥65 years) | 304 (17.2) | 96 (15) | 208 (18.5) | .06 |
aCT: computed tomography.
Univariate associations between variables and downstream cervicocerebral angiography.
| Patient characteristic | All claims (N=1766), n (%) | Claims not pertaining to cervicocerebral angiography (n=1698), n (%) | Claims pertaining to cervicocerebral angiography (n=68), n (%) | |
| Below median income (vs above median income or omitted) | 715 (40.5) | 685 (40.3) | 30 (44.1) | .53 |
| Male (vs female) | 844 (47.8) | 812 (47.8) | 32 (47.1) | .90 |
| Rural (vs urban) | 260 (14.7) | 252 (14.8) | 8 (11.8) | .48 |
| Commercial (vs Medicare) | 146 (8.3) | 142 (8.4) | 4 (5.9) | .47 |
| Aged under 65 years (vs ≥65 years) | 304 (17.2) | 296 (17.4) | 8 (11.8) | .23 |
| 16-slice CTa (vs 64-slice CT) | 641 (36.3) | 608 (35.8) | 33 (48.5) | .03 |
aCT: computed tomography.
Figure 2Visual depiction of the downstream cervicocerebral angiography rate following 16-slice CT or 64-slice CT. Each cell represents 1 claim for CT. Shaded cells represent the proportion of CTs that were followed by downstream cervicocerebral angiography. CT: computed tomography.
Adjusted odds ratios from the multivariate logistic regression.
| Patient characteristic | Odds ratio | 95% CI | |
| Below median income (vs above median income) | 1.17 | 0.70-1.93 | .55 |
| Male (vs female) | 0.97 | 0.60-1.59 | .92 |
| Rural (vs urban) | 0.71 | 0.30-1.45 | .38 |
| Commercial (vs Medicare) | 1.05 | 0.27-3.37 | .94 |
| Aged under 65 (vs ≥65 years) | 0.63 | 0.23-1.42 | .31 |
| 16-slice CTa (vs 64-slice CT) | 1.64 | 1.00-2.69 | .047 |
aCT: computed tomography.