Literature DB >> 33550354

[CT spectral curve in differentiating spinal tumor metastasis and infections].

Y Yuan1, N Lang1, H S Yuan1.   

Abstract

OBJECTIVE: To evaluate the value of CT spectral curve in differentiating spinal tumor metastasis (STM) from spinal infections (SI).
METHODS: In the study, 29 STM and 18 SI patients proved pathologically and clinically were examined by dual energy spectral CT (DESCT). The monochromatic images and CT spectral curves were generated automatically by GSI Viewer software. The attenuation values at different energy levels (40-140 keV, every 10 keV), the attenuation values of the lesions on the conventional polychromatic CT images and the gradients of the curve were calculated and compared between STM and SI.
RESULTS: The median age of STM and SI (58 years vs. 64 years) were not significantly different (U=171, P=0.4). The attenuation values of STM at 40-100 keV were 281.79 (143.67, 446.19) HU, 199.68 (100.04, 321.49) HU, 151.54 (81.47, 243.49) HU, (122.64±27.72) HU, (99.90±23.88) HU, (85.82±21.61) HU, and (75.94±20.27) HU, respectively, which were significantly higher than SI: 185.29 (164.19, 277.03) HU, 138.44 (124.98, 238.56) HU, 105.46 (92.94, 169.53) HU, (93.77±15.55) HU, (79.15±12.84) HU, (68.99±11.75) HU, and (62.22±11.71) HU (all P < 0.05). The attenuation values at 110-140 keV and the attenuation value on the conventional CT images were not significantly different between STM and SI. The gradient of CT spectral curve of STM was 2.43±0.58, which was higher than the value of 1.50±0.40 for SI (P < 0.001). Using 1.72 and 248.80 HU as the threshold value for CT spectral curve slope and the attenuation value at 40 keV, could obtain the area under receiver operating characteristic (ROC) curve of 0.905 and 0.892, sensitivity of 88.0% and 80.0%, and specificity of 76.9% and 92.3%.
CONCLUSION: CT spectral curve provides valuable semi-quantitative information for the differential diagnosis of STM and SI, which can be used as a supplement to traditional CT imaging.

Entities:  

Keywords:  Bacterial infections; Diagnosis, differential; Spinal neoplasms; Tomography, X-ray computed

Mesh:

Year:  2020        PMID: 33550354      PMCID: PMC7867981     

Source DB:  PubMed          Journal:  Beijing Da Xue Xue Bao Yi Xue Ban        ISSN: 1671-167X


  18 in total

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3.  Differentiation of tuberculosis and metastatic cancer in the spine using dynamic contrast-enhanced MRI.

Authors:  Ning Lang; Min-Ying Su; Hon J Yu; Huishu Yuan
Journal:  Eur Spine J       Date:  2015-03-08       Impact factor: 3.134

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6.  Diagnosis of Spinal Lesions Using Heuristic and Pharmacokinetic Parameters Measured by Dynamic Contrast-Enhanced MRI.

Authors:  Ning Lang; Huishu Yuan; Hon J Yu; Min-Ying Su
Journal:  Acad Radiol       Date:  2017-02-02       Impact factor: 3.173

7.  Dual-energy computed tomography to assess tumor response to hepatic radiofrequency ablation: potential diagnostic value of virtual noncontrast images and iodine maps.

Authors:  Su Hyun Lee; Jeong Min Lee; Kyung Won Kim; Ernst Klotz; Se Hyung Kim; Jae Young Lee; Joon Koo Han; Byung Ihn Choi
Journal:  Invest Radiol       Date:  2011-02       Impact factor: 6.016

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9.  Differentiation of osteolytic metastases and Schmorl's nodes in cancer patients using dual-energy CT: advantage of spectral CT imaging.

Authors:  Shaowei Zheng; Yue Dong; Yanwei Miao; Ailian Liu; Xin Zhang; Bin Wang; Ying Ge; Yijun Liu; Shaowu Wang
Journal:  Eur J Radiol       Date:  2014-02-14       Impact factor: 3.528

10.  Comparison of Magnetic Resonance Imaging Findings between Pathologically Proven Cases of Atypical Tubercular Spine and Tumour Metastasis: A Retrospective Study in 40 Patients.

Authors:  Somit Mittal; Mohd Khalid; Aamir Bin Sabir; Saifullah Khalid
Journal:  Asian Spine J       Date:  2016-08-16
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  1 in total

1.  Diagnostic Value of Emission Computed Tomography Combined with Computed Tomography for Metastatic Malignant Tumor of Spine.

Authors:  Feng Qin; Yapei Feng; Panpan Zhang; Yuemei Li; Weiqiang Fan
Journal:  Contrast Media Mol Imaging       Date:  2022-05-26       Impact factor: 3.009

  1 in total

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