Improved visualization of hypodense liver lesions in virtual monoenergetic images from spectral detector CT: Proof of concept in a 3D-printed phantom and evaluation in 74 patients. Issue 109 (December 2018)

• Record Type: Journal Article
• Authors: Große Hokamp, N.; Obmann, V.C.; Kessner, R.; Laukamp, K.R.; Persigehl, T.; Haneder, S.; Ramaiya, N.
• Is Part Of: European journal of radiology. Issue 109(2018)
• Page Start: 114
• Page End: 123
• Publication Date: 2018-12
• Subjects: SDCT spectral detector computed tomography -- VMI virtual monoenergetic images -- CI conventional images -- HU Hounsfield units -- SD standard deviation -- CTDI computed tomography dose index -- SSDE size-specific dose estimate -- ICC intraclass correlation coefficient -- DECT dual energy computed tomography -- DSCT dual source computed tomography; Dual energy computed tomography -- Spectral detector computed tomography -- Liver lesions -- Virtual monoenergetic images -- 3D-printing; Medical radiology -- Periodicals; Radiology -- Periodicals; Radiologie médicale -- Périodiques; Medical radiology; Periodicals; 616.075705
• DOI: 10.1016/j.ejrad.2018.11.001
• Languages: English
• ISSNs: 0720-048X

Abstract

Highlights: 3D-printing technology can be used to design customized phantoms. Virtual monoenergetic images boost iodine-associated attenuation. This contrast boost improves visualization of hypodense liver lesions as well. VMI should be considered when screening after focal liver lesions. Abstract: Objectives: The well-known boost of iodine associated-attenuation in low-keV virtual monoenergetic images (VMI_low) is frequently used to improve visualization of lesions and structures taking up contrast media. This study aimed to evaluate this concept in reverse. Hence to investigate if increased attenuation within the liver allows for improved visualization of little or not-enhancing lesions. Methods: A 3D-printed phantom mimicking the shape of a human liver exhibiting a lesion in its center was designed and printed. Both, parenchyma- and lesion-mimic were filled with different solutions exhibiting 80/100/120HU and 0/15/40/60HU, respectively. Further, a total of 74 contrast-enhanced studies performed on a spectral detector CT scanner (SDCT) were included in this retrospective study. Patients had MRI or follow-up proven cysts and/or hypodense metastases. VMI of 40–200 keV as well as conventional images (CI) were reconstructed. ROI were placed in lesion and parenchyma(-mimics) on CI and transferred to VMI. Signal- and contrast-to-noise ratio were calculated (S-/CNR). Further, two radiologists independently evaluated image quality. Data was statistically assessed using ANOVA or Wilcoxon-test. Results: In phantoms, S/CNR was significantly higher in VMI_low. The cyst-mimic in highly attenuating parenchyma-mimic on CI yielded a CNR of 6.4 ± 0.8; using VMI_40 keV, mildly hypodense lesion-mimic in poorly attenuating parenchyma-mimic exhibited a similar CNR (5.8 ± 0.9; p ≤ 0.05). The same tendency was observed in patients (cyst in CI/metastasis in VMI_40 keV: 4.4 ± 1.2/3.9 ± 1.8; p ≤ 0.05). Qualitative analysis indicated a benefit of VMI_40 keV (p ≤ 0.05). Conclusions: VMI_low from SDCT allow for an improved visualization of hypodense focal liver lesions exploiting the concept of contrast blooming in reverse.