| Literature DB >> 35453873 |
Roberto Simonini1,2, Pietro Andrea Bonaffini1,2, Marco Porta1,2, Cesare Maino3, Francesco Saverio Carbone1,2, Ludovico Dulcetta1,2, Paolo Brambilla1, Paolo Marra1,2, Sandro Sironi1,2.
Abstract
Background: Inflow-sensitive inversion recovery (IFIR) is a recently introduced technique to perform unenhanced magnetic resonance angiography (MRA). The purpose of our study is to determine the accuracy of IFIR-MRA in the evaluation of upper abdominal arteries, compared to standard MRA and computed tomography angiography (CTA). Materials andEntities:
Keywords: computed tomography angiography; hepatic and visceral artery; inflow-sensitive inversion recovery technique; liver transplantation; magnetic resonance angiography; non-contrast magnetic resonance angiography
Year: 2022 PMID: 35453873 PMCID: PMC9025362 DOI: 10.3390/diagnostics12040825
Source DB: PubMed Journal: Diagnostics (Basel) ISSN: 2075-4418
Figure 1Flow diagram for patient selection.
Median and IQR values of subjective image quality of IFIR-MRA, MRA and CTA images by the most experienced reader. IFIR-MRA images obtained an overall higher image quality in comparison with MRA in all analyzed arteries.
| IFIR-MRA | MRA | CTA | ||
|---|---|---|---|---|
|
| 4 (3–4) | 3 (3–4) | <0.0001 | 4 (4) |
|
| 4 (2–4) | 3 (2–3) | <0.0001 | 4 (3–4) |
|
| 3 (2–4) | 2 (1–2) | <0.0001 | 4 (3–4) |
|
| 3 (2–4) | 2 (2–3) | <0.0001 | 4 (3–4) |
|
| 2 (1–3) | 1 (1–2) | 0.003 | 4 (3–4) |
|
| 2 (1–4) | 1 (1–2) | 0.001 | 4 (3–4) |
|
| 2 (2–3) | 2 (1–2) | 0.045 | 4 (3–4) |
|
| 4 (3–4) | 3 (2–3) | <0.0001 | 4 (4) |
|
| 4 (3–4) | 2 (2–3) | <0.0001 | 4 (4) |
|
| 4 (3–4) | 2 (2–3) | <0.0001 | 4 (4) |
Intraclass correlation coefficients between the two readers regarding imaging quality of IFIR-MR, MRA and CTA.
| Intraclass Correlation Coefficient (95%CI) | |||
|---|---|---|---|
| IFIR-MRA | MRA | CTA | |
|
| 0.801 | 0.630 | 0.795 |
|
| 0.873 | 0.714 | 0.889 |
|
| 0.798 | 0.774 | 0.877 |
|
| 0.834 | 0.846 | 0.891 |
|
| 0.823 | 0.749 | 0.911 |
|
| 0.779 | 0.719 | 0.899 |
|
| 0.722 | 0.770 | 0.857 |
|
| 0.700 | 0.705 | 0.755 |
|
| 0.701 | 0.437 | 0.742 |
|
| 0.784 | 0.674 | 0.798 |
ICC values based on absolute-agreement, 2-way mixed-effects model, and Tau correlation coefficients between IFIR-MRA, MRA and CTA.
| IFIR-MRA vs. MRA | IFIR-MRA vs. CTA | MRA vs. CTA | |||||||
|---|---|---|---|---|---|---|---|---|---|
| ICC (95%CI) | τ (95%CI) | ICC (95%CI) | τ (95%CI) | ICC (95%CI) | τ (95%CI) | ||||
|
| 0.507 | 0.341 | <0.0001 | 0.076 | 0.035 | 0.710 | 0.240 | 0.205 | 0.064 |
|
| 0.591 | 0.362 | 0.002 | 0.552 | 0.362 | 0.008 | 0.213 | 0.101 | 0.363 |
|
| 0.464 | 0.311 | 0.003 | 0.261 | 0.115 | 0.297 | 0.120 | 0.073 | 0.520 |
|
| 0.360 | 0.207 | 0.014 | 0.282 | 0.261 | 0.017 | 0.470 | 0.320 | 0.003 |
|
| 0.615 | 0.416 | <0.0001 | 0.387 | 0.308 | 0.006 | 0.249 | 0.174 | 0.192 |
|
| 0.570 | 0.393 | <0.0001 | 0.443 | 0.370 | 0.001 | 0.158 | 0.103 | 0.359 |
|
| 0.310 | 0.128 | 0.033 | 0.208 | 0.093 | 0.403 | 0.382 | 0.220 | 0.047 |
|
| 0.462 | 0.243 | 0.042 | 0.423 | 0.177 | 0.104 | 0.125 | 0.067 | 0.556 |
|
| 0.525 | 0.240 | 0.005 | −0.122 | 0.130 | 0.314 | 0.012 | 0.054 | 0.320 |
|
| 0.257 | 0.138 | 0.152 | 0.315 | 0.279 | 0.027 | 0.364 | 0.216 | 0.041 |
Percentage of hepatic artery variants according to Michels’ classification system.
| Michels’ Classification System: Hepatic Arteries Variants | |
|---|---|
| Type I (normal pattern) | 67% |
| Type V (an accessory LHA) | 14% |
| Type VI (an accessory RHA) | 9% |
| Type III (a replaced RHA from the SMA) | 3% |
| Type IX (the hepatic trunk as a branch of the SMA) | 3% |
| Type XI (not included in other types) | 3% |
| Type VII (accessory RHA and LHA) | 1% |
Figure 2Axial IFIR-MRA (A) and CTA (B) MIP reconstructions properly showing the direct origin of the right hepatic artery from the aorta (Type XI according to Michels’ classification system) and the remaining main celiac trunk branches up to the proximal bifurcations (spleen and hepatic hilum). On MRA (C) MIP reconstruction image quality and resolution are lower, not allowing the proper assessment of proximal bifurcations. IFIR-MRA (D) and CTA (E) 3D reconstructions, showing a comparable diagnostic performance.