RSNA 2014 

Abstract Archives of the RSNA, 2014


SSK17-02

Virtual Monoenergetic Reconstructions of Dual-Energy CT Improve Image Quality and Delineation of Head and Neck Squamous Cell Carcinoma

Scientific Papers

Presented on December 3, 2014
Presented as part of SSK17: Neuroradiology/Head and Neck (Head & Neck Tumors)

Participants

Julian Lukas Wichmann MD, Presenter: Nothing to Disclose
Eva-Maria Noske, Abstract Co-Author: Nothing to Disclose
Johannes Kraft, Abstract Co-Author: Nothing to Disclose
Iris Burck MD, Abstract Co-Author: Nothing to Disclose
Claudia Frellesen, Abstract Co-Author: Nothing to Disclose
Josef Matthias Kerl MD, Abstract Co-Author: Research Consultant, Siemens AG Speakers Bureau, Siemens AG
Ralf W. Bauer MD, Abstract Co-Author: Research Consultant, Siemens AG Speakers Bureau, Siemens AG
Boris Bodelle MD, Abstract Co-Author: Nothing to Disclose
Thomas Lehnert MD, Abstract Co-Author: Nothing to Disclose
Thomas Josef Vogl MD, PhD, Abstract Co-Author: Nothing to Disclose
Boris Schulz MD, Abstract Co-Author: Nothing to Disclose

PURPOSE

To evaluate virtual monoenergetic reconstructions of dual-energy computed tomography (DECT) regarding their impact on objective and subjective image quality in patients with head and neck squamous cell carcinoma (SCC).

METHOD AND MATERIALS

71 Patients (53 male, 18 female; 59.3 years ± 12.0) with biopsy-confirmed untreated primary (n = 55) or recurrent (n = 16) head and neck SCC underwent DECT. Standard linear blending (30% of 80 kVp, 70% of 140 kVp) and four virtual monoenergetic image series at 40, 60, 80, 100 keV were reconstructed. Attenuation of tumor and other anatomic landmarks and image noise were measured, lesion contrast-to-noise ratio (CNR) was calculated. Two observers subjectively rated each image series using a 5-point scale regarding overall image quality, tumor delineation, image sharpness and noise.

RESULTS

Tumor attenuation peaked in the 40 keV reconstructions (140.2 HU ± 42.6) followed by the 60 keV (121.7 HU ± 25.5) and M_0.3 series (102.7 ± 22.3; all P < 0.001). Calculated lesion CNR was superior in the 60 keV reconstructions (6.76 ± 3.43) compared to the M_0.3 (5.24 ± 2.98; P < 0.006) and all other monoenergetic series (all P < 0.001). Subjective image quality (4.22; κ = 0.411) and tumor delineation was highest for the 60 keV reconstructions (4.35; κ = 0.459) followed by the M_0.3 series (3.81; κ = 0.394; 3.77; κ = 0.451; all P < 0.001). Differences between both series regarding image sharpness were non-significant (3.81 vs. 3.79; P = 0.78). Subjective rating regarding absence of image noise was rated highest for the 80 and 100 keV series (4.31 vs. 4.34; P = 0.522).

CONCLUSION

Virtual monoenergetic reconstructions at 60 keV of DECT data significantly improve objective tumor enhancement and CNR while subjective overall image quality and tumor delineation are also superior compared to the standard linear blending setting in patients with head and neck SCC.

CLINICAL RELEVANCE/APPLICATION

Objective and subjective image quality can be significantly improved using monoenergetic reconstructions of DECT data in patients with head and neck squamous cell carcinoma.

Cite This Abstract

Wichmann, J, Noske, E, Kraft, J, Burck, I, Frellesen, C, Kerl, J, Bauer, R, Bodelle, B, Lehnert, T, Vogl, T, Schulz, B, Virtual Monoenergetic Reconstructions of Dual-Energy CT Improve Image Quality and Delineation of Head and Neck Squamous Cell Carcinoma.  Radiological Society of North America 2014 Scientific Assembly and Annual Meeting, - ,Chicago IL. http://archive.rsna.org/2014/14001012.html