Rofo 2022; 194(06): 652-659
DOI: 10.1055/a-1717-2542
Vessels

Dual-Layer Spectral CTA for TAVI Planning Using a Split-Phase Protocol and Low-keV Virtual Monoenergetic Images: Improved Image Quality in Comparison with Single-Phase Conventional CTA

Verbesserte Bildqualität der TAVI-CTA eines Dual-Layer Spektral-CTs unter Verwendung eines Zwei-Phasen-Protokolls und virtuell-monoenergetischer Bilder im Vergleich zu einem konventionellen CT
1   Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Germany
,
Janek Salatzki
2   Department of Internal Medicine III, University Hospital Heidelberg, Germany
,
Johannes Riffel
2   Department of Internal Medicine III, University Hospital Heidelberg, Germany
,
Hans-Ulrich Kauczor
1   Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Germany
,
Tim Frederik Weber
1   Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg, Germany
› Author Affiliations
 

Abstract

Purpose Adaptation of computed tomography protocols for transcatheter aortic valve implantation (TAVI) planning is required when a first-generation dual-layer spectral CT scanner (DLCT) is used. The purpose of this study was to evaluate the objective image quality of aortic CT angiography (CTA) for TAVI planning using a split-phase technique with reconstruction of 40 keV virtual monoenergetic images (40 keV-VMI) obtained with a DLCT scanner. CT angiography obtained with a single-phase protocol of a conventional single-detector CT (SLCT) was used for comparison.

Materials and Methods 75 CTA scans from DLCT were retrospectively compared to 75 CTA scans from SLCT. For DLCT, spiral CTA without ECG-synchronization was performed immediately after a retrospectively ECG-gated acquisition covering the heart and aortic arch. For SLCT, spiral CTA with retrospective ECG-gating was performed to capture the heart and the access route simultaneously in one scan. Objective image quality was compared at different levels of the arterial access route.

Results 40 keV virtual monoenergetic images of DLCT showed a significantly higher mean vessel attenuation, SNR, and CNR at all levels of the arterial access route. With 40 keV-VMI of DLCT, the overall mean aortic attenuation of all six measured regions was 589.6 ± 243 HU compared to 492.7 ± 209 HU of SLCT (p < 0.01). A similar trend could be observed for SNR (23.6 ± 18 vs. 18.6 ± 9; p < 0.01) and CNR (21.1 ± 18 vs. 16.4 ± 8; p < 0.01). No deterioration was observed for vascular noise (27.8 ± 9 HU vs. 28.1 ± 8 HU; p = 0.599).

Conclusion Using a DLCT scanner with a split-phase protocol and 40 keV-VMI for TAVI planning, higher objective image quality can be obtained compared to a single-phase protocol of a conventional CT scanner.

Key Points:

  • Adaption of TAVI planning CT protocols may be required when using a first-generation dual-layer CT scanner.

  • Reconstruction of virtual monoenergetic images at 40 keV improves image quality.

  • With a split-phase protocol, the radiation dose is lower compared to a single-phase ECG-gated CT acquisition.

Citation Format

  • Mangold D, Salatzki J, Riffel J et al. Dual-Layer Spectral CTA for TAVI Planning Using a Split-Phase Protocol and Low-keV Virtual Monoenergetic Images: Improved Image Quality in Comparison with Single-Phase Conventional CTA. Fortschr Röntgenstr 2022; 194: 652 – 659


#

Zusammenfassung

Ziel Die Anpassung der CT-Protokolle zur TAVI-Planung (Transkatheter-Aortenklappen-Implantation) ist erforderlich, wenn ein Dual-Layer Spektral-CT (DLCT) der ersten Generation verwendet wird. Ziel dieser Studie war es, die objektive Bildqualität der CT-Angiografie (CTA), die mit einem DLCT angefertigt wurden, zu bewerten. Untersucht wurden diesbezüglich virtuell monoenergetische Bilder bei 40 keV (40 keV-VMI) eines Zwei-Phasen-Protokolls. Zum Vergleich dienten CTA, die mit dem einphasigen Protokoll eines konventionellen CTs (SLCT) angefertigt wurden.

Material und Methoden 75 CTAs des DLCT wurden retrospektiv mit 75 CTAs eines konventionellen CTs verglichen. Mit dem DLCT wurde die CTA ohne EKG-Synchronisation unmittelbar nach einer retrospektiv EKG-gegateten Aufnahme des Herzens und des Aortenbogens durchgeführt. Mit dem SLCT wurde eine einphasige CTA durchgeführt, welche sowohl das Herz als auch die Zugangsgefäße in einem retrospektiv EKG-synchronisierten Scan erfasste. Die objektive Bildqualität wurde auf verschiedenen Ebenen des arteriellen Zugangsweges verglichen.

Ergebnisse Die virtuell monoenergetischen Bilder des DLCT bei 40 keV zeigten eine signifikant höhere absolute CT-Zahl, SNR und CNR auf allen Ebenen des arteriellen Zugangswegs. Bei den 40 keV-VMI der DLCT betrug das durchschnittliche aortale Gefäßsignal aller 6 gemessenen Regionen 589,6 ± 243 HU im Vergleich zu 492,7 ± 209 HU des SLCT (p < 0,01). Ein ähnlicher Trend konnte für SNR (23,6 ± 18 vs. 18,6 ± 9; p < 0,01) und CNR (21,1 ± 18 vs. 16,4 ± 8; p < 0,01) beobachtet werden. Für das Signalrauschen wurden keine signifikanten Unterschiede beobachtet (27,8 ± 9 HU vs. 28,1 ± 8 HU; p = 0,599).

Schlussfolgerung Bei der TAVI-Planung kann unter Verwendung eines DLCT mit einem Zwei-Phasen-Protokoll und 40 keV-VMI eine höhere objektive Bildqualität im Vergleich zu einem einphasigen Protokoll eines konventionellen CT-Scanners erzielt werden.

Kernaussagen:

  • Bei Verwendung eines Dual-Layer-CT der ersten Generation kann eine Anpassung der CT-Protokolle zur TAVI-Planung erforderlich sein.

  • Die Rekonstruktion virtuell-monoenergetischer Bilder bei 40 keV verbessert die Bildqualität.

  • Bei einem Zwei-Phasen-Protokoll ist die Strahlendosis geringer im Vergleich zu einer einphasigen EKG-gegateten CT-Akquisition.


#

Introduction

Dual-energy computed tomography (DECT) has been implemented successfully in clinical practice. There are different technical approaches to acquire spectral imaging, but they all use a high and low mean energy X-ray spectrum from one examination to obtain images. A widespread concept is a dual-source system with two orthogonally positioned X-ray tubes and detectors rotating simultaneously. Another approach is kVp switching, in which an X-ray tube rapidly switches between low and high energy levels at each X-ray projection [1] [2]. A recently developed CT technology is a detector-based DECT using a polychromatic X-ray tube and two layers of detectors – dual-layer detector computed tomography (DLCT). The top layer, an yttrium-based garnet scintillator, and the second gadolinium-oxysulphide-based layer absorb low and high energy photons separately [3] [4].

The first-generation DLCT scanner is equipped with a detector with a width of 4 cm along the z-axis. The use of a CT scanner with such detector coverage may cause difficulties in ECG synchronous cardiac imaging [5] [6] [7]. Due to its special requirements (CT angiography of the vascular access and an ECG-synchronized data set of the aortic root and heart), the scan protocols for TAVI planning have to be adapted when using a scanner with a smaller detector width [6] [8]. At our institution, according to the recommendations for CT scanners with a limited detector coverage, we chose a split-phase protocol for TAVI planning.

After a retrospective ECG-gated scan of the annulus including the heart and the aortic arch, the access vasculature is evaluated in a second scan without ECG synchronization [8]. This split-phase protocol requires a short intermission between the two scans to make scan adjustments and adjust the table position resulting in a late arterial acquisition. Caused by the lower vessel attenuation of the late arterial phase compared to an early arterial phase, this split-phase protocol could lead to a loss of image quality in the evaluation of the arterial access route. However, DLCT allows for increasing vessel attenuation in contrast-enhanced CT scans using virtual monoenergetic image reconstructions (VMI) at lower energy levels to compensate for this effect of suboptimal vessel enhancement [9] [10] [11] [12].

The primary objective of this study was to determine the objective image quality of DLCT in CTA for TAVI planning. To this end, we compared low-energy (40 keV) VMI of DLCT with conventional images (CI) obtained with single-layer CT. Absolute CT attenuation values, noise, signal-to-noise ratio (SNR), and contrast-to-noise ratio (CNR) were compared across six levels of the arterial access pathway.

Secondary objectives of this study were to assess the percentage of CTAs with sufficient contrast enhancement and the radiation dose during TAVI planning between DLCT and SLCT. According to recent recommendations, sufficient contrast enhancement was defined as the presence of a CT attenuation value of at least 250 HU across all six levels of the arterial access pathway [5] [8].


#

Materials and Methods

Study design

Until 2017, an SLCT scanner was used for TAVI planning at our institution. This CT scanner was replaced by a DLCT scanner in December 2017. For our study we included a total of 150 patients who underwent CTA prior to TAVI (75 each for SLCT and DLCT). The included patients were examined in the period from July 2017 to November 2017 (SLCT) and from January to November 2018 (DLCT). Patients that were scanned during these time periods and had incomplete image data or artifacts caused by metal implants were primarily excluded (SLCT: n = 3; DLCT: n = 2).

This retrospective single-center study was approved by our local ethics committee with a waiver of written informed consent (Ref. S-620/2018). This study has been performed in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.


#

Image acquisition

SLCT

Conventional CTA was performed using a Philips Brilliance iCT device providing 128 detector rows on a single-layer detector with a width of 8 cm (Philips; Best; The Netherlands). The TAVI planning protocol was an ECG-gated spiral acquisition of the heart and total aorta including the access route. The examination was performed with the following parameters: BMI-dependent tube voltage (100 kVp or 120 kVp) and effective tube current (481 mAs or 499 mAs); rotation time 0.37 s; detector collimation 128 × 0.625 mm; helical pitch value 0.3. Using a flying z-focus, 256 slices were acquired simultaneously. In patients with a BMI > 25 kg/m2, the higher tube voltage and effective tube current were chosen. The total scan time was 12.5  s. Bolus tracking was used for image acquisition timing. The acquisition started 11 s after reaching a contrast enhancement threshold of 150 Hounsfield Units (HU) above the baseline attenuation in the descending aorta.


#

DLCT

Spectral CTA was performed using a Philips iQon device providing 64 detector rows on a dual-layer detector with a width of 4 cm (Philips; Best; The Netherlands). The TAVI planning protocol consisted of a split-phase acquisition of the heart on the one hand and of the total aorta including the access route on the other hand. An ECG-gated spiral acquisition of the heart and aortic arch in caudo-cranial direction was immediately followed by a late arterial non-ECG-gated high-pitch spiral CTA scan from subclavian to femoral arteries in cranio-caudal direction ([Fig. 1]). The following scanning parameters were used for the late arterial CTA scan: tube voltage 120 kVp; effective tube current 130 mAs, rotation time 0.27 s; detector collimation 64 × 0.625 mm; helical pitch value 1.234. Using a flying z-focus, 128 slices were acquired simultaneously. Bolus tracking was used for image acquisition timing. The ECG-gated acquisition of the heart and annulus was started 6 s after the attenuation reached a contrast enhancement threshold of 110 HU above the baseline in the descending aorta (scan time: 9 seconds). The cranio-caudal acquisition of the CTA was started 26 s after reaching the threshold value in the descending aorta. The total acquisition time of the late arterial CTA was 3.2 s. In [Table 1], the relevant scan parameters of both CT protocols are provided.

Zoom Image
Fig. 1 Scanning protocols: For SLCT a retrospective ECG-gated spiral acquisition of the heart and the access route was performed in the caudo-cranial direction. For DLCT we used a split protocol with retrospective ECG-gated helical acquisition of the heart and aortic arch in the caudo-cranial direction, immediately followed by a cranio-caudal CTA scan covering the arterial access vasculature.

Abb. 1 Untersuchungsprotokolle: Mit dem konventionellen CT wurde eine retrospektiv EKG-gegatete Spiralakquisition des Herzens und der Zugangsgefäße in caudo-cranialer Richtung durchgeführt. Mit dem DLCT verwendeten wir ein Zwei-Phasen-Protokoll mit retrospektiv EKG-synchronisiertem Scan des Herzens und des Aortenbogens in kaudo-kranialer Richtung, unmittelbar gefolgt von einem kranio-kaudalen Scan zur Erfassung der arteriellen Zugangsgefäße.
Table 1

Scanning parameters for aortography of both SLCT and DLCT.
Tab. 1 Untersuchungsparameter der CT-Angiografie mit dem SLCT sowie mit dem DLCT.

Scanning parameters

SLCT (BMI < 25)

SLCT (BMI > 25)

DLCT

Peak tube voltage kpV

100 kV

120 kV

120 kV

Effective tube current

481 mAs

499 mAs

130 mAs

Detector collimation

128 × 0.625 mm

64 × 0.625 mm

Detector width (z-axis)

8 cm

4 cm

Gantry rotation time

0.37 s

0.27 s

Pitch

0.3 s

1.234 s

Scan time

12.5 s

3.2 s

Delay of the CTA after reaching threshold

11 s

26 s

Reconstructed slice thickness/increment

0.67 × 0.3 mm

0.8 × 0.4 mm


#

Contrast medium

80 ml of the contrast medium Iomeron 400 (400 mg iodine/ml; Bracco Imaging; Konstanz, Germany) was used as the standard volume and was adjusted for obese patients (up to 100 ml; mean BMI: 34 ± 5 kg/m2). The following injection protocol for both scanners was applied using an automated injector: 4.0 ml/s for 10 s (40 ml), followed by 3.0 ml/s for 13 s (40 ml) and a saline chaser flush (50 ml).


#
#

Image reconstruction

For SLCT, conventional polychromatic images were reconstructed with a slice thickness of 0.67 mm and an increment of 0.3 in axial orientation using a standard soft tissue kernel. The images were reconstructed at 70 % of the R-R interval (during diastole). For late arterial DLCT CTA, virtual monoenergetic images (40 keV-VMI) were reconstructed with a slice thickness of 0.8 mm and an increment of 0.4 mm using a standard soft tissue kernel. For both data sets, an iterative reconstruction algorithm was used as provided by the vendor (SLCT: IMR Level 1; DLCT: iDose4 Level 3).


#

Image analysis

Objective image quality measurements of both groups were performed by one reader using a dedicated image processing workstation (IntelliSpace Portal Version 10; Philips; Best; The Netherlands). In each CTA, a circular region-of-interest (ROI) with a fixed area of 2.0 cm2 was placed at the following six levels of the aorto-iliac access: ascending aorta (AA) and descending aorta (DA) at the level of the right pulmonary artery, abdominal aorta at the level of the hiatus (HA) and at the level of the renal arteries (RA), right common iliac artery (RCI) and right distal external iliac artery (REI). For calculating the contrast-to-noise ratio (CNR), a circular ROI was placed over the right psoas muscle. The vessel attenuation was defined by the mean enhancement within the ROI and noise was represented by standard deviation (SD). The signal-to-noise ratio (SNR) was defined as the vessel attenuation divided by noise. The CNR was calculated as follows: CNR = (mean arterial attenuation−mean muscle attenuation)/mean arterial noise.


#

Statistical analysis

All data were analyzed using SPSS version 25.0 (SPSS Inc, Chicago, IL, USA). Continuous variables were reported as the mean ± standard deviation (SD), categorical values as proportions. Wilcoxon rank-sum test and two-sample t-test were used to compare continuous variables. All reported p-values are two-sided and a p-value < 0.05 was considered to indicate statistical significance.


#
#

Results

Patient characteristics

150 patients (72 males; mean age: 82 ± 6y; BMI 28 ± 5 kg/m2) who underwent CTA prior to TAVI were included in this study (75 on each CT scanner). Age, BMI, and serum creatinine were assessed using electronic medical records. There were no statistical differences in gender, age, or BMI between these two groups as provided in [Table 2]. In the SLCT group, 49 CT acquisitions were performed at 120 kV and 26 CT acquisitions at 100 kV.

Table 2

Patient characteristics of the study population (data are means ± standard deviation).
Tab. 2 Patientencharakteristika der Studienpopulation (angegeben als Mittelwert ± Standardabweichung).

Patient characteristics

DLCT

SLCT

p-value

Male gender

37 (49 %)

35 (47 %)

Age (years)

81 ± 6

82 ± 6

0.334

Weight (kg)

76 ± 16

75 ± 17

0.798

Height (m)

166 ± 10

166 ± 9

0.993

BMI (kg/m2)

28 ± 5

27 ± 5

0.733

Serum creatinine (mg/dl)

1.1 ± 0.5

1.2 ± 0.7

0.375


#

Quantitative assessment

Representative images of 40 keV VMI of DLCT and conventional images of SLCT are seen in [Fig. 2]. 40 keV VMI of DLCT showed a significantly higher mean vessel attenuation at all six levels of the arterial access route ([Table 3]; [Fig. 3]). The overall mean aortic attenuation of all six measured regions was 589.6 ± 243 for DLCT and 492.7 ± 209 for SLCT (p < 0.01). Similar observations were found for SNR and CNR ([Table 4]). The overall mean SNR was 23.6 ± 18 for DLCT and 18.6 ± 9 for SLCT (p < 0.01). The CNR across all segments was 21.1 ± 18 for DLCT and 16.4 ± 8 for SLCT (p < 0.01). No deterioration was found for vessel noise using DLCT ([Table 5]). Sufficient aortic enhancement at all segments of the access route was achieved in 93 % with DLCT and 89 % with SLCT.

Zoom Image
Fig. 2 40keV-VMI obtained with DLCT compared to conventional SLCT images.

Abb. 2 Virtuell monoenergetische Rekonstruktion bei 40 keV des DLCT im Vergleich zu einem konventionellen Scan des SLCT.
Table 3

Vessel attenuation of 40 keV-VMI of DLCT and SLCT (AA: ascending aorta at the level of the right pulmonary artery; DA: descending aorta at the level of the right pulmonary artery; HA: aorta at the level of hiatus; RA: aorta at the level of the renal arteries; RCI: right common iliac artery; REI: distal right external iliac artery).
Tab. 3 Vergleich des Gefäßsignals zwischen den 40 keV-VMI des DLCT und den konventionellen Bildern des SLCT (AA: Aorta ascendens auf Höhe der rechten Pulmonalarterie; DA: Aorta descendens auf Höhe der rechten Pulmonalarterie; HA: Aorta auf Höhe des Zwerchfelldurchtritts; RA: Aorta auf Höhe der Nierenarterien; RCI: Arteria iliaca communis rechts; REI: distale Arteria iliaca externa rechts).

Attenuation

DLCT (40 keV)

SLCT

p-value

AA

537.5 ± 184

469.8 ± 168

< 0.01

AD

583.4 ± 205

503.8 ± 183

< 0.01

HA

572.5 ± 224

475.4 ± 191

< 0.01

RA

609.5 ± 244

499.2 ± 215

< 0.01

RCI

616.2 ± 282

499.2 ± 232

< 0.01

REI

655.7 ± 306

532.2 ± 271

< 0.01

Total

589.6 ± 243

492.7 ± 209

< 0.01

Zoom Image
Fig. 3 Attenuation of 40 keV-VMI of DLCT across the arterial segments compared with conventional SLCT images (AA: ascending aorta at the level of the right pulmonary artery; DA: descending aorta at the level of the right pulmonary artery; HA: aorta at the level of hiatus; RA: aorta at the level of the renal arteries; RCI: right common iliac artery; REI: distal right external iliac artery).

Abb. 3 Vergleich des Gefäßsignals entlang der arteriellen Zugangsachse zwischen den 40 keV-VMI des DLCT und den konventionellen Bildern des SLCT (AA: Aorta ascendens auf Höhe der rechten Pulmonalarterie; DA: Aorta descendens auf Höhe der rechten Pulmonalarterie; HA: Aorta auf Höhe des Zwerchfelldurchtritts; RA: Aorta auf Höhe der Nierenarterien; RCI: Arteria iliaca communis rechts; REI: distale Arteria iliaca externa rechts).
Table 4

Signal-to-noise ratio (SNR) and contrast-to-noise ratio (CNR) of 40 keV-VMI of DLCT and SLCT (AA: ascending aorta at the level of the right pulmonary artery; DA: descending aorta at the level of the right pulmonary artery; HA: aorta at the level of hiatus; RA: aorta at the level of the renal arteries; RCI: right common iliac artery; REI: distal right external iliac artery).
Tab. 4 Signal-Rausch-Verhältnis (SNR) und Kontrast-Rausch-Verhältnis (CNR) der 40 keV-VMI des DLCT im Vergleich zu den konventionellen Bildern des SLCT (AA: Aorta ascendens auf Höhe der rechten Pulmonalarterie; DA: Aorta descendens auf Höhe der rechten Pulmonalarterie; HA: Aorta auf Höhe des Zwerchfelldurchtritts; RA: Aorta auf Höhe der Nierenarterien; RCI: Arteria iliaca communis rechts; REI: distale Arteria iliaca externa rechts).

SNR

DLCT (40 keV)

SLCT

p-value

AA

26.3 ± 11

21.6 ± 9

< 0.01

AD

29.1 ± 11

23.5 ± 10

< 0.01

HA

18.3 ± 7

15.5 ± 6

< 0.01

RA

21.6 ± 9

18.0 ± 8

< 0.01

RCI

21.2 ± 10

16.7 ± 7

< 0.01

REI

28.8 ± 38

18.7 ± 9

< 0.01

Total

23.6 ± 18

18.6 ± 9

< 0.01

CNR

DLCT (40 keV)

SLCT

p-value

AA

23.1 ± 10

21.6 ± 9

< 0.01

AD

25.9 ± 10

20.8 ± 9

< 0.01

HA

16.2 ± 7

13.6 ± 6

< 0.01

RA

19.3 ± 9

15.9 ± 7

< 0.01

RCI

19.0 ± 10

14.8 ± 7

< 0.01

REI

26.5 ± 38

16.5 ± 9

< 0.01

Total

21.1 ± 18

16.4 ± 8

< 0.01

Table 5

Noise across the arterial segments of 40 keV-VMI of DLCT and SLCT (AA: ascending aorta at the level of the right pulmonary artery; DA: descending aorta at the level of the right pulmonary artery; HA: aorta at the level of hiatus; RA: aorta at the level of the renal arteries; RCI: right common iliac artery; REI: distal right external iliac artery).
Tab. 5 Vergleich des Rauschens entlang der arteriellen Zugangsachse zwischen den 40 keV-VMI des DLCT und den konventionellen Bildern des SLCT (AA: Aorta ascendens auf Höhe der rechten Pulmonalarterie; DA: Aorta descendens auf Höhe der rechten Pulmonalarterie; HA: Aorta auf Höhe des Zwerchfelldurchtritts; RA: Aorta auf Höhe der Nierenarterien; RCI: Arteria iliaca communis rechts; REI: distale Arteria iliaca externa rechts).

Noise

DLCT (40 keV)

SLCT

p-value

AA

21.6 ± 6

22.7 ± 5

0.218

AD

20.7 ± 5

22.7 ± 6

0.027

HA

32.3 ± 7

32.1 ± 8

0.895

RA

29.5 ± 8

29.3 ± 8

0.883

RCI

30.9 ± 8

30.5 ± 7

0.763

REI

29.3 ± 9

28.7 ± 9

0.682

Total

27.8 ± 9

28.1 ± 8

0.599

In the separate comparison of the DLCT group with the SLCT group at 100 kV and 120 kV, similar trends were observed without reaching the level of statistical significance ([Table 6]). Between the two SLCT groups, the measured values for attenuation, SNR and CNR were higher when using 100 kV.

Table 6

Comparison of attenuation, signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), and noise of the DLCT group with the SLCT subgroup at 100 kV and 120 kV (AA: ascending aorta at the level of the right pulmonary artery; DA: descending aorta at the level of the right pulmonary artery; HA: aorta at the level of hiatus; RA: aorta at the level of the renal arteries; RCI: right common iliac artery; REI: distal right external iliac artery).
Tab. 6 Vergleich des Gefäßsignals, des Signal-Rausch-Verhältnisses (SNR), des Kontrast-Rausch-Verhältnisses (CNR) und des Rauschens der 40 keV-VMI des DLCT mit den Subgruppen des SLCT bei 100 kV und 120 kV (AA: Aorta ascendens auf Höhe der rechten Pulmonalarterie; DA: Aorta descendens auf Höhe der rechten Pulmonalarterie; HA: Aorta auf Höhe des Zwerchfelldurchtritts; RA: Aorta auf Höhe der Nierenarterien; RCI: Arteria iliaca communis rechts; REI: distale Arteria iliaca externa rechts).

Attenuation

DLCT (40 keV, n = 75)

SLCT (100 kV, n = 26)

SLCT (120 kV, n = 49)

p-value (40 vs. 100 kV)

p-value (40 vs. 120 kV)

AA

537.5 ± 184

494.7 ± 161

440.5 ± 128

0.246

< 0.01

AD

583.4 ± 205

534.2 ± 178

470.5 ± 138

0.161

< 0.01

HA

572.5 ± 224

497.7 ± 189

446.3 ± 150

0.175

< 0.01

RA

609.5 ± 244

520.5 ± 225

469.8 ± 169

0.454

< 0.01

RCI

616.2 ± 282

528.6 ± 240

465.1 ± 188

0.352

< 0.01

REI

655.7 ± 306

572.1 ± 300

492.9 ± 221

0.388

< 0.01

SNR

DLCT (40 keV, n = 75)

SLCT (100 kV, n = 26)

SLCT (120 kV, n = 49)

p-value (40 vs. 100 kV)

p-value (40 vs. 120 kV)

AA

26.3 ± 11

23.7 ± 10

19.8 ± 6

0.383

< 0.01

AD

29.1 ± 11

26.2 ± 10

21.2 ± 8

0.448

< 0.01

HA

18.3 ± 7

16.5 ± 7

14.6 ± 6

0.527

0.074

RA

21.6 ± 9

19.2 ± 9

17.1 ± 7

0.439

0.014

RCI

21.2 ± 10

18.2 ± 7

15.5 ± 7

0.019

< 0.01

REI

28.8 ± 38

20.1 ± 9

17.6 ± 9

0.194

0.07

CNR

DLCT (40 keV, n = 75)

SLCT (100 kV, n = 26)

SLCT (120 kV, n = 49)

p-value (40 vs. 100 kV)

p-value (40 vs. 120 kV)

AA

23.1 ± 10

20.9 ± 9

17.2 ± 6

0.401

< 0.01

AD

25.9 ± 10

23.3 ± 9

18.6 ± 7

0.457

0.007

HA

16.2 ± 7

14.6 ± 6

12.7 ± 5

0.517

0.066

RA

19.3 ± 9

17.1 ± 9

15.0 ± 7

0.392

0.007

RCI

19.0 ± 10

16.1 ± 7

13.6 ± 6

0.036

< 0.01

REI

26.5 ± 38

17.9 ± 9

15.5 ± 8

0.199

0.064

Noise

DLCT (40 keV, n = 75)

SLCT (100 kV, n = 26)

SLCT (120 kV, n = 49)

p-value (40 vs. 100 kV)

p-value (40 vs. 120 kV)

AA

21.6 ± 6

22.0 ± 6

23.1 ± 5

0.665

0.720

AD

20.7 ± 5

21.2 ± 4

23.5 ± 7

0.634

0.091

HA

32.3 ± 7

31.2 ± 6

32.4 ± 9

0.631

0.177

RA

29.5 ± 8

28.8 ± 8

29.4 ± 9

0.761

0.369

RCI

30.9 ± 8

29.3 ± 7

31.1 ± 7

0.412

0.204

REI

29.3 ± 9

29.6 ± 8

28.0 ± 9

0.413

0.535


#

Radiation dose

The total dose length product of the complete TAVI planning examination was significantly lower in the DLCT group (1994 ± 367 mGy*cm, including the ECG-gated acquisition of the heart) compared to the SLCT group (2439 ± 703 mGy*cm; p < 0.01). The same tendencies were found in the two subgroups of patients with a BMI below and above 25 kg/m2 with significantly lower total dose length products in both DLCT groups (BMI< 25: 1864 ± 293 mGy*cm vs. 2363 ± 694 mGy*cm; BMI> 25: 2093 ± 393 mGy*cm vs. 2720 ± 610 mGy mGy*cm; p < 0.001).

The volume CT dose index (CTDIvol) of the SLCT group was 33.4 ± 9 mGy. The CTDIvol in the DLCT group was 48.2 ± 9 mGy for the ECG-gated heart imaging and 10.9 ± 3 mGy for the non-ECG-gated high-pitch spiral CTA.


#
#

Discussion

To our knowledge, this is the first study to compare the objective image quality of CTA prior to TAVI between a first-generation dual-layer spectral CT scanner and a conventional single-layer CT scanner. In this study, we demonstrated that not only using DLCT is feasible for TAVI planning but also provides in general higher objective image quality and lower radiation dose compared with SLCT.

These results were achieved despite the late arterial phase caused by the limited detector width of the first generation DLCT. A narrow detector width requires a split-phase protocol for TAVI imaging with a short delay between these two scans. As discussed in the introduction section, the delayed second scan and the resulting late arterial phase affects the image quality and results in a loss of vessel enhancement. However, reconstruction of VMI at 40 keV is known to increase vessel attenuation and this approach was chosen in our study [10] [11] [12] [13]. By using VMI at a low keV level near the k-edge of iodine (33 keV), we observed a significant increase in vessel attenuation, SNR, and CNR compared with SLCT. This observation is especially valid regarding the comparison with the SLCT acquisitions performed at 120 kV. Concerning the small subgroup of SLCT acquisitions performed at 100 kV, the superiority of low-keV VMI was generally not statistically significant. This is supposed to result from the fact that reducing the tube voltage from 120 kV to 100 kV already leads to a relevant increase in iodine-induced CT attenuation. Our results are in line with numerous other studies that have shown the benefits of DLCT and monoenergetic imaging [10] [11].

Especially in examinations with poor vascular contrast, DLCT has advantages, since the spectral data set is available in every CT scan. A study by Hickethier and colleagues demonstrated that, with the help of monoenergetic image reconstruction, even the contrast in a venous contrast phase is sufficient to allow adequate vascular assessment of abdominal arteries [11]. Weiss and colleagues demonstrated the improvement of monoenergetic image reconstructions for the detection of incidental pulmonary embolism in scans during the portal-venous phase [14].

Our study results suggest that a TAVI planning protocol with a reduced contrast dose also seems possible with DLCT. A promising approach is offered by the prospective SPECTACULAR study by Cavallo and colleagues [15].

In their study, a low-dose contrast agent protocol and 40 keV-VMI of DLCT were chosen for TAVI planning. They also chose a split protocol, but with an abdominal acquisition during an arterio-venous mixed phase following a retrospective ECG-triggered chest scan during an arterial phase [15]. Adequate results in terms of image quality and aortic root measurements were obtained with only 50 ml of contrast medium [15]. However, most of their conclusions were based on the comparison with conventional images at 120 kV of the same scan. Using this method, the improvement of image quality with 40 keV-VMI is well established in the literature and is in line with our results [11] [12] [16].

We also achieved a 17 % reduction in radiation dose when comparing these two scanners and protocols. This demonstrates that low radiation dose can be achieved even with DLCT when adapted examination protocols are used. It should be mentioned that we had chosen a radiation-intensive protocol with SLCT, which was considered in the guidelines at that time, but is no longer recommended in the current guidelines [6] [8].

There are other studies on differing examination protocols, such as the 3-phase protocol, that have achieved promising results regarding radiation and contrast agent reduction [17] [18].

There are several limitations to this study. First, the slice thickness and increment were not identical between SLCT and DLCT image data sets. The slice thickness affects image noise and, thus, calculation of the SNR. If SLCT would have been reconstructed with the same slice thickness as DLCT, image noise would decrease to some degree. However, since the calculation of the CNR is unaffected by variations in image noise within the same data set, and the CNR of DLCT was superior to SLCT in our study, the impact of the inequality of slice thicknesses on the results is considered marginal. Second, the algorithm of iterative image reconstruction was not identical between the SLCT and DLCT image data sets. SLCT image data were reconstructed using IMR. DLCT spectral data had to be reconstructed using iDose4, as provided by the vendor. Other studies have shown that IMR may be more effective in noise reduction than iDose4 [19] [20] [21]. Thus, this discrepancy will tend to result in an underestimation of the superiority of DLCT concerning the SNR. Third, we focused on assessing parameters of objective image quality of the aortic CTA. Subjective image quality included assessment of the general evaluability of the aortic CTA, assessment of the heart and the left ventricular outflow tract as well as assessment of the presence and severity of stenoses along the iliac access route. In this regard it has to be acknowledged that low-keV image reconstructions may lead to overestimation of calcified stenoses. Fourth, we limited the study to the assessment of VMI at an energy level of 40 keV, because this has been previously shown to be best for the contrast and visualization of vascular structures [10] [11]. Finally, this was a retrospective study with image quality assessments performed by a single reader. A multi-reader analysis may have fortified the robustness of the study results.


#

Conclusion

In conclusion, performing TAVI planning with a dual-layer spectral detector CT scanner using a split-phase protocol is feasible when using low-energy VMI at 40 keV for late arterial aortic CTA. Higher objective image quality with a lower radiation dose was obtained compared to ECG-synchronized CTA of the whole aorta performed with conventional CT.

Further research is required to evaluate if contrast volume reduction using DLCT with reconstruction of low-energy images is feasible without hampering image quality.


#
#

Conflict of Interest

The authors declare that they have no conflict of interest.

  • References

  • 1 Fornaro J, Leschka S, Hibbeln D. et al. Dual- and multi-energy CT: approach to functional imaging. Insights Imaging 2011; 2: 149-159 DOI: 10.1007/s13244-010-0057-0.
  • 2 Johnson TR. Dual-energy CT: general principles. Am J Roentgenol 2012; 199: S3-S8 DOI: 10.2214/Am J Roentgenol.12.9116.
  • 3 Rassouli N, Etesami M, Dhanantwari A. et al. Detector-based spectral CT with a novel dual-layer technology: principles and applications. Insights into Imaging 2017; 8: 589-598 DOI: 10.1007/s13244-017-0571-4.
  • 4 McCollough CH, Leng S, Yu L. et al. Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications. Radiology 2015; 276: 637-653 DOI: 10.1148/radiol.2015142631.
  • 5 Abbara S, Blanke P, Maroules CD. et al. SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee. Journal of Cardiovascular Computed Tomography 2016; 10: 435-449 DOI: 10.1016/j.jcct.2016.10.002.
  • 6 Achenbach S, Delgado V, Hausleiter J. et al. SCCT expert consensus document on computed tomography imaging before transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR). J Cardiovasc Comput Tomogr 2012; 6: 366-380 DOI: 10.1016/j.jcct.2012.11.002.
  • 7 Blanke P, Schoepf UJ, Leipsic JA. CT in Transcatheter Aortic Valve Replacement. Radiology 2013; 269: 650-669 DOI: 10.1148/radiol.13120696.
  • 8 Blanke P, Weir-McCall JR, Achenbach S. et al. Computed tomography imaging in the context of transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR): An expert consensus document of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2019; 13: 1-20 DOI: 10.1016/j.jcct.2018.11.008.
  • 9 Shuman WP, O’Malley RB, Busey JM. et al. Prospective comparison of dual-energy CT aortography using 70% reduced iodine dose versus single-energy CT aortography using standard iodine dose in the same patient. Abdominal Radiology 2017; 42: 759-765 DOI: 10.1007/s00261-016-1041-z.
  • 10 Doerner J, Hauger M, Hickethier T. et al. Image quality evaluation of dual-layer spectral detector CT of the chest and comparison with conventional CT imaging. European Journal of Radiology 2017; 52-58 DOI: 10.1016/j.ejrad.2017.05.016.
  • 11 Hickethier T, Byrtus J, Hauger M. et al. Utilization of virtual mono-energetic images (MonoE) derived from a dual-layer spectral detector CT (SDCT) for the assessment of abdominal arteries in venous contrast phase scans. Eur J Radiol 2018; 99: 28-33 DOI: 10.1016/j.ejrad.2017.12.007.
  • 12 Chalian H, Kalisz K, Rassouli N. et al. Utility of virtual monoenergetic images derived from a dual-layer detector-based spectral CT in the assessment of aortic anatomy and pathology: A retrospective case control study. Clin Imaging 2018; 52: 292-301 DOI: 10.1016/j.clinimag.2018.08.007.
  • 13 Al-Baldawi Y, Große Hokamp N, Haneder S. et al. Virtual mono-energetic images and iterative image reconstruction: abdominal vessel imaging in the era of spectral detector CT. Clin Radiol 2020; 75: 641.e649-641.e618 DOI: 10.1016/j.crad.2020.03.036.
  • 14 Weiss J, Notohamiprodjo M, Bongers M. et al. Effect of Noise-Optimized Monoenergetic Postprocessing on Diagnostic Accuracy for Detecting Incidental Pulmonary Embolism in Portal-Venous Phase Dual-Energy Computed Tomography. Invest Radiol 2017; 52: 142-147 DOI: 10.1097/RLI.0000000000000319.
  • 15 Cavallo AU, Patterson AJ, Thomas R. et al. Low dose contrast CT for transcatheter aortic valve replacement assessment: Results from the prospective SPECTACULAR study (spectral CT assessment prior to TAVR). J Cardiovasc Comput Tomogr 2019; DOI: 10.1016/j.jcct.2019.06.015.
  • 16 Van Hamersvelt RW, Eijsvoogel NG, Mihl C. et al. Contrast agent concentration optimization in CTA using low tube voltage and dual-energy CT in multiple vendors: a phantom study. The International Journal of Cardiovascular Imaging 2018; 34: 1265-1275 DOI: 10.1007/s10554-018-1329-x.
  • 17 Koyanagi H, Tsutsumi Y, Tokuda Y. et al. Computed tomography imaging using split-bolus contrast injection with volume scan of aortic root and heart for preoperative evaluation of transcatheter aortic valve implantation. Heart Vessels 2021; DOI: 10.1007/s00380-021-01899-8.
  • 18 Shnayien S, Bressem KK, Beetz NL. et al. Radiation Dose Reduction in Preprocedural CT Imaging for TAVI/TAVR Using a Novel 3-Phase Protocol: A Single Institutionʼs Experience. Rofo 2020; 192: 1174-1182 DOI: 10.1055/a-1150-7646.
  • 19 Ippolito D, Riva L, Talei Franzesi C. et al. Computed Tomography Angiography Combined With Knowledge-Based Iterative Algorithm for Transcatheter Aortic Valve Implantation Planning: Image Quality and Radiation Dose Exposure With Low-kV and Low-Contrast-Medium Protocol. J Comput Assist Tomogr 2020; 44: 13-19 DOI: 10.1097/rct.0000000000000965.
  • 20 Laqmani A, Avanesov M, Butscheidt S. et al. Comparison of image quality and visibility of normal and abnormal findings at submillisievert chest CT using filtered back projection, iterative model reconstruction (IMR) and iDose(4)™. Eur J Radiol 2016; 85: 1971-1979 DOI: 10.1016/j.ejrad.2016.09.001.
  • 21 Park HJ, Lee JM, Park SB. et al. Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma. Journal of computer assisted tomography 2016; 40: 863-871 DOI: 10.1097/rct.0000000000000455.

Correspondence

David Mangold
Department of Diagnostic and Interventional Radiology, University Hospital Heidelberg
INF 420
69120 Heidelberg
Germany   
Phone: +49/622 15 63 41 41   

Publication History

Received: 03 August 2021

Accepted: 18 November 2021

Article published online:
28 December 2021

© 2021. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

  • References

  • 1 Fornaro J, Leschka S, Hibbeln D. et al. Dual- and multi-energy CT: approach to functional imaging. Insights Imaging 2011; 2: 149-159 DOI: 10.1007/s13244-010-0057-0.
  • 2 Johnson TR. Dual-energy CT: general principles. Am J Roentgenol 2012; 199: S3-S8 DOI: 10.2214/Am J Roentgenol.12.9116.
  • 3 Rassouli N, Etesami M, Dhanantwari A. et al. Detector-based spectral CT with a novel dual-layer technology: principles and applications. Insights into Imaging 2017; 8: 589-598 DOI: 10.1007/s13244-017-0571-4.
  • 4 McCollough CH, Leng S, Yu L. et al. Dual- and Multi-Energy CT: Principles, Technical Approaches, and Clinical Applications. Radiology 2015; 276: 637-653 DOI: 10.1148/radiol.2015142631.
  • 5 Abbara S, Blanke P, Maroules CD. et al. SCCT guidelines for the performance and acquisition of coronary computed tomographic angiography: A report of the Society of Cardiovascular Computed Tomography Guidelines Committee. Journal of Cardiovascular Computed Tomography 2016; 10: 435-449 DOI: 10.1016/j.jcct.2016.10.002.
  • 6 Achenbach S, Delgado V, Hausleiter J. et al. SCCT expert consensus document on computed tomography imaging before transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR). J Cardiovasc Comput Tomogr 2012; 6: 366-380 DOI: 10.1016/j.jcct.2012.11.002.
  • 7 Blanke P, Schoepf UJ, Leipsic JA. CT in Transcatheter Aortic Valve Replacement. Radiology 2013; 269: 650-669 DOI: 10.1148/radiol.13120696.
  • 8 Blanke P, Weir-McCall JR, Achenbach S. et al. Computed tomography imaging in the context of transcatheter aortic valve implantation (TAVI)/transcatheter aortic valve replacement (TAVR): An expert consensus document of the Society of Cardiovascular Computed Tomography. J Cardiovasc Comput Tomogr 2019; 13: 1-20 DOI: 10.1016/j.jcct.2018.11.008.
  • 9 Shuman WP, O’Malley RB, Busey JM. et al. Prospective comparison of dual-energy CT aortography using 70% reduced iodine dose versus single-energy CT aortography using standard iodine dose in the same patient. Abdominal Radiology 2017; 42: 759-765 DOI: 10.1007/s00261-016-1041-z.
  • 10 Doerner J, Hauger M, Hickethier T. et al. Image quality evaluation of dual-layer spectral detector CT of the chest and comparison with conventional CT imaging. European Journal of Radiology 2017; 52-58 DOI: 10.1016/j.ejrad.2017.05.016.
  • 11 Hickethier T, Byrtus J, Hauger M. et al. Utilization of virtual mono-energetic images (MonoE) derived from a dual-layer spectral detector CT (SDCT) for the assessment of abdominal arteries in venous contrast phase scans. Eur J Radiol 2018; 99: 28-33 DOI: 10.1016/j.ejrad.2017.12.007.
  • 12 Chalian H, Kalisz K, Rassouli N. et al. Utility of virtual monoenergetic images derived from a dual-layer detector-based spectral CT in the assessment of aortic anatomy and pathology: A retrospective case control study. Clin Imaging 2018; 52: 292-301 DOI: 10.1016/j.clinimag.2018.08.007.
  • 13 Al-Baldawi Y, Große Hokamp N, Haneder S. et al. Virtual mono-energetic images and iterative image reconstruction: abdominal vessel imaging in the era of spectral detector CT. Clin Radiol 2020; 75: 641.e649-641.e618 DOI: 10.1016/j.crad.2020.03.036.
  • 14 Weiss J, Notohamiprodjo M, Bongers M. et al. Effect of Noise-Optimized Monoenergetic Postprocessing on Diagnostic Accuracy for Detecting Incidental Pulmonary Embolism in Portal-Venous Phase Dual-Energy Computed Tomography. Invest Radiol 2017; 52: 142-147 DOI: 10.1097/RLI.0000000000000319.
  • 15 Cavallo AU, Patterson AJ, Thomas R. et al. Low dose contrast CT for transcatheter aortic valve replacement assessment: Results from the prospective SPECTACULAR study (spectral CT assessment prior to TAVR). J Cardiovasc Comput Tomogr 2019; DOI: 10.1016/j.jcct.2019.06.015.
  • 16 Van Hamersvelt RW, Eijsvoogel NG, Mihl C. et al. Contrast agent concentration optimization in CTA using low tube voltage and dual-energy CT in multiple vendors: a phantom study. The International Journal of Cardiovascular Imaging 2018; 34: 1265-1275 DOI: 10.1007/s10554-018-1329-x.
  • 17 Koyanagi H, Tsutsumi Y, Tokuda Y. et al. Computed tomography imaging using split-bolus contrast injection with volume scan of aortic root and heart for preoperative evaluation of transcatheter aortic valve implantation. Heart Vessels 2021; DOI: 10.1007/s00380-021-01899-8.
  • 18 Shnayien S, Bressem KK, Beetz NL. et al. Radiation Dose Reduction in Preprocedural CT Imaging for TAVI/TAVR Using a Novel 3-Phase Protocol: A Single Institutionʼs Experience. Rofo 2020; 192: 1174-1182 DOI: 10.1055/a-1150-7646.
  • 19 Ippolito D, Riva L, Talei Franzesi C. et al. Computed Tomography Angiography Combined With Knowledge-Based Iterative Algorithm for Transcatheter Aortic Valve Implantation Planning: Image Quality and Radiation Dose Exposure With Low-kV and Low-Contrast-Medium Protocol. J Comput Assist Tomogr 2020; 44: 13-19 DOI: 10.1097/rct.0000000000000965.
  • 20 Laqmani A, Avanesov M, Butscheidt S. et al. Comparison of image quality and visibility of normal and abnormal findings at submillisievert chest CT using filtered back projection, iterative model reconstruction (IMR) and iDose(4)™. Eur J Radiol 2016; 85: 1971-1979 DOI: 10.1016/j.ejrad.2016.09.001.
  • 21 Park HJ, Lee JM, Park SB. et al. Comparison of Knowledge-based Iterative Model Reconstruction and Hybrid Reconstruction Techniques for Liver CT Evaluation of Hypervascular Hepatocellular Carcinoma. Journal of computer assisted tomography 2016; 40: 863-871 DOI: 10.1097/rct.0000000000000455.

Zoom Image
Fig. 1 Scanning protocols: For SLCT a retrospective ECG-gated spiral acquisition of the heart and the access route was performed in the caudo-cranial direction. For DLCT we used a split protocol with retrospective ECG-gated helical acquisition of the heart and aortic arch in the caudo-cranial direction, immediately followed by a cranio-caudal CTA scan covering the arterial access vasculature.

Abb. 1 Untersuchungsprotokolle: Mit dem konventionellen CT wurde eine retrospektiv EKG-gegatete Spiralakquisition des Herzens und der Zugangsgefäße in caudo-cranialer Richtung durchgeführt. Mit dem DLCT verwendeten wir ein Zwei-Phasen-Protokoll mit retrospektiv EKG-synchronisiertem Scan des Herzens und des Aortenbogens in kaudo-kranialer Richtung, unmittelbar gefolgt von einem kranio-kaudalen Scan zur Erfassung der arteriellen Zugangsgefäße.
Zoom Image
Fig. 2 40keV-VMI obtained with DLCT compared to conventional SLCT images.

Abb. 2 Virtuell monoenergetische Rekonstruktion bei 40 keV des DLCT im Vergleich zu einem konventionellen Scan des SLCT.
Zoom Image
Fig. 3 Attenuation of 40 keV-VMI of DLCT across the arterial segments compared with conventional SLCT images (AA: ascending aorta at the level of the right pulmonary artery; DA: descending aorta at the level of the right pulmonary artery; HA: aorta at the level of hiatus; RA: aorta at the level of the renal arteries; RCI: right common iliac artery; REI: distal right external iliac artery).

Abb. 3 Vergleich des Gefäßsignals entlang der arteriellen Zugangsachse zwischen den 40 keV-VMI des DLCT und den konventionellen Bildern des SLCT (AA: Aorta ascendens auf Höhe der rechten Pulmonalarterie; DA: Aorta descendens auf Höhe der rechten Pulmonalarterie; HA: Aorta auf Höhe des Zwerchfelldurchtritts; RA: Aorta auf Höhe der Nierenarterien; RCI: Arteria iliaca communis rechts; REI: distale Arteria iliaca externa rechts).