Literature DB >> 28448423

Dual-Energy CT: Balance Between Iodine Attenuation and Artifact Reduction for the Evaluation of Head and Neck Cancer.

Jaykumar R Nair1, François DeBlois, Thomas Ong, Slobodan Devic, Nada Tomic, Hamed Bekerat, Lorne Rosenbloom, Khalil Sultanem, Reza Forghani.   

Abstract

OBJECTIVE: Dual-energy computed tomography high energy virtual monochromatic images (VMIs) can reduce artifact but suppress iodine attenuation in enhancing tumor. We investigated this trade-off to identify VMI(s) that strike the best balance between iodine detection and artifact reduction.
METHODS: The study was performed using an Alderson radiation therapy phantom. Different iodine solutions (based on estimated tumor iodine content in situ using dual-energy computed tomography material decomposition) and different dental fillings were investigated. Spectral attenuation curves and quality index (QI: 1/SD) were evaluated.
RESULTS: The relationship between iodine attenuation and QI depends on artifact severity and iodine concentration. For low to average concentration solutions degraded by mild to moderate artifact, the iodine attenuation and QI curves crossed at 95 keV.
CONCLUSIONS: High energy VMIs less than 100 keV can achieve modest artifact reduction while preserving sufficient iodine attenuation and could represent a useful additional reconstruction for evaluation of head and neck cancer.

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Year:  2017        PMID: 28448423     DOI: 10.1097/RCT.0000000000000617

Source DB:  PubMed          Journal:  J Comput Assist Tomogr        ISSN: 0363-8715            Impact factor:   1.826


  3 in total

1.  Improved detection rates and treatment planning of head and neck cancer using dual-layer spectral CT.

Authors:  Fabian K Lohöfer; Georgios A Kaissis; Frances L Köster; Sebastian Ziegelmayer; Ingo Einspieler; Carlos Gerngross; Michael Rasper; Peter B Noel; Steffen Koerdt; Andreas Fichter; Ernst J Rummeny; Rickmer F Braren
Journal:  Eur Radiol       Date:  2018-05-28       Impact factor: 5.315

2.  Deep learning radiomics of dual-energy computed tomography for predicting lymph node metastases of pancreatic ductal adenocarcinoma.

Authors:  Chao An; Dongyang Li; Sheng Li; Wangzhong Li; Tong Tong; Lizhi Liu; Dongping Jiang; Linling Jiang; Guangying Ruan; Ning Hai; Yan Fu; Kun Wang; Shuiqing Zhuo; Jie Tian
Journal:  Eur J Nucl Med Mol Imaging       Date:  2021-10-15       Impact factor: 9.236

3.  Dual-energy computed tomography of the neck-optimizing tube current settings and radiation dose using a 3D-printed patient phantom.

Authors:  Torsten Diekhoff; Michael Scheel; Wiebke Kress; Bernd Hamm; Paul Jahnke
Journal:  Quant Imaging Med Surg       Date:  2021-04
  3 in total

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