Literature DB >> 27553938

Volume-based quantification using dual-energy computed tomography in the differentiation of thymic epithelial tumours: an initial experience.

Suyon Chang1, Jin Hur2, Dong Jin Im1, Young Joo Suh1, Yoo Jin Hong1, Hye-Jeong Lee1, Young Jin Kim1, Kyunghwa Han3, Dae Joon Kim4, Chang Young Lee4, Ha Young Shin5, Byoung Wook Choi1.   

Abstract

OBJECTIVES: To investigate the diagnostic value of dual-energy computed tomography (DECT) in differentiating between low- and high-risk thymomas and thymic carcinomas. MATERIALS: Our institutional review board approved this study, and patients provided informed consent. We prospectively enrolled 37 patients (20 males, mean age: 55.6 years) with thymic epithelial tumour. All patients underwent DECT. For quantitative analysis, two reviewers measured the following tumour parameters: CT attenuation value in contrast Hounsfield units (CHU), iodine-related HU and iodine concentration (mg/ml). Pathological results confirmed the final diagnosis.
RESULTS: Of the 37 thymic tumours, 23 (62.2 %) were low-risk thymomas, five (13.5 %) were high-risk thymomas and nine (24.3 %) were thymic carcinomas. According to quantitative analysis, iodine-related HU and iodine concentration were significantly different among low-risk thymomas, high-risk thymomas and thymic carcinomas (median: 29.78 HU vs. 14.55 HU vs. 19.95 HU, p = 0.001 and 1.92 mg/ml vs. 0.99 mg/ml vs. 1.18 mg/ml, p < 0.001, respectively).
CONCLUSION: DECT using a quantitative analytical method based on iodine concentration measurement can be used to differentiate among thymic epithelial tumours using single-phase scanning. KEY POINTS: • IHU and IC were lower in high-risk thymomas/carcinomas than in low-risk thymomas • IHU and IC were lower in advanced-stage thymomas than in early-stage thymomas • Dual-energy CT helps differentiate among thymic epithelial tumours.

Entities:  

Keywords:  Dual-energy computed tomography; Iodine concentration; Mediastinal mass; Thymic carcinoma; Thymoma

Mesh:

Substances:

Year:  2016        PMID: 27553938     DOI: 10.1007/s00330-016-4542-9

Source DB:  PubMed          Journal:  Eur Radiol        ISSN: 0938-7994            Impact factor:   5.315


  27 in total

1.  Dual-energy CT-based iodine quantification for differentiating pulmonary artery sarcoma from pulmonary thromboembolism: a pilot study.

Authors:  Suyon Chang; Jin Hur; Dong Jin Im; Young Joo Suh; Yoo Jin Hong; Hye-Jeong Lee; Young Jin Kim; Byoung Wook Choi
Journal:  Eur Radiol       Date:  2015-12-05       Impact factor: 5.315

Review 2.  Dual energy CT: preliminary observations and potential clinical applications in the abdomen.

Authors:  Anno Graser; Thorsten R C Johnson; Hersh Chandarana; Michael Macari
Journal:  Eur Radiol       Date:  2008-08-02       Impact factor: 5.315

3.  Additional value of dual-energy CT to differentiate between benign and malignant mediastinal tumors: an initial experience.

Authors:  Seung Hyun Lee; Jin Hur; Young Jin Kim; Hye-Jeong Lee; Yoo Jin Hong; Byoung Wook Choi
Journal:  Eur J Radiol       Date:  2013-06-29       Impact factor: 3.528

4.  Malignant thymic epithelial tumors: CT-pathologic correlation.

Authors:  K J Jung; K S Lee; J Han; J Kim; T S Kim; E A Kim
Journal:  AJR Am J Roentgenol       Date:  2001-02       Impact factor: 3.959

5.  Statistical methods for assessing agreement between two methods of clinical measurement.

Authors:  J M Bland; D G Altman
Journal:  Lancet       Date:  1986-02-08       Impact factor: 79.321

Review 6.  Diagnosis of thymoma.

Authors:  S Suster
Journal:  J Clin Pathol       Date:  2006-05-05       Impact factor: 3.411

7.  Computed tomography and thymoma: distinctive findings in invasive and noninvasive thymoma and predictive features of recurrence.

Authors:  A M Priola; S M Priola; M Di Franco; A Cataldi; S Durando; C Fava
Journal:  Radiol Med       Date:  2009-12-16       Impact factor: 3.469

8.  Does CT of thymic epithelial tumors enable us to differentiate histologic subtypes and predict prognosis?

Authors:  Yeon Joo Jeong; Kyung Soo Lee; Jhingook Kim; Young Mok Shim; Jungho Han; O Jung Kwon
Journal:  AJR Am J Roentgenol       Date:  2004-08       Impact factor: 3.959

9.  Thymomas I: a clinicopathologic correlation of 250 cases with emphasis on the World Health Organization schema.

Authors:  Cesar A Moran; Annikka Weissferdt; Neda Kalhor; Luisa M Solis; Carmen Behrens; Ivan I Wistuba; Saul Suster
Journal:  Am J Clin Pathol       Date:  2012-03       Impact factor: 2.493

10.  Computed tomographic findings and prognosis in thymic epithelial tumor patients.

Authors:  Satomi Yakushiji; Ukihide Tateishi; Shunji Nagai; Yoshihiro Matsuno; Kazuo Nakagawa; Hisao Asamura; Masahiko Kusumoto
Journal:  J Comput Assist Tomogr       Date:  2008 Sep-Oct       Impact factor: 1.826

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  11 in total

1.  Risk stratification of thymic epithelial tumors by using a nomogram combined with radiomic features and TNM staging.

Authors:  Qijun Shen; Yanna Shan; Wen Xu; Guangzhu Hu; Wenhui Chen; Zhan Feng; Peipei Pang; Zhongxiang Ding; Wenli Cai
Journal:  Eur Radiol       Date:  2020-08-05       Impact factor: 5.315

2.  CT texture analysis in evaluation of thymic tumors and thymic hyperplasia: correlation with the international thymic malignancy interest group (ITMIG) stage and WHO grade.

Authors:  Naveen Rajamohan; Ankur Goyal; Devasenathipathy Kandasamy; Ashu Seith Bhalla; Rajinder Parshad; Deepali Jain; Raju Sharma
Journal:  Br J Radiol       Date:  2021-10-05       Impact factor: 3.039

3.  Using CT to evaluate mediastinal great vein invasion by thymic epithelial tumors: measurement of the interface between the tumor and neighboring structures.

Authors:  Shoji Kuriyama; Kazuhiro Imai; Koichi Ishiyama; Shinogu Takashima; Maiko Atari; Tsubasa Matsuo; Yoshiaki Ishii; Yuzu Harata; Yusuke Sato; Satoru Motoyama; Kyoko Nomura; Manabu Hashimoto; Yoshihiro Minamiya
Journal:  Eur Radiol       Date:  2021-09-23       Impact factor: 5.315

Review 4.  Treatment of malignant pleural effusion.

Authors:  Ricardo Mingarini Terra; Alberto Jorge Monteiro Dela Vega
Journal:  J Vis Surg       Date:  2018-05-22

5.  Effects of radiation dose levels and spectral iterative reconstruction levels on the accuracy of iodine quantification and virtual monochromatic CT numbers in dual-layer spectral detector CT: an iodine phantom study.

Authors:  Xiaomei Lu; Zaiming Lu; Jiandong Yin; Yuying Gao; Xingbiao Chen; Qiyong Guo
Journal:  Quant Imaging Med Surg       Date:  2019-02

6.  Contrast-enhanced CT-based radiomics model for differentiating risk subgroups of thymic epithelial tumors.

Authors:  Chunhai Yu; Ting Li; Xiaotang Yang; Ruiping Zhang; Lei Xin; Zhikai Zhao; Jingjing Cui
Journal:  BMC Med Imaging       Date:  2022-03-06       Impact factor: 1.930

7.  Volumetric analysis of the thymic epithelial tumors: correlation of tumor volume with the WHO classification and Masaoka staging.

Authors:  Yukihisa Sato; Masahiro Yanagawa; Akinori Hata; Yukihiro Enchi; Noriko Kikuchi; Osamu Honda; Katsuyuki Nakanishi; Noriyuki Tomiyama
Journal:  J Thorac Dis       Date:  2018-10       Impact factor: 2.895

8.  Iodine Quantification Using Dual-Energy Computed Tomography for Differentiating Thymic Tumors.

Authors:  Wei-Qiang Yan; Yong-Kang Xin; Yong Jing; Gang-Feng Li; Shu-Mei Wang; Wei-Cheng Rong; Gang Xiao; Xue-Bin Lei; Bo Li; Yu-Chuan Hu; Guang-Bin Cui
Journal:  J Comput Assist Tomogr       Date:  2018 Nov/Dec       Impact factor: 1.826

9.  Dual-energy CT perfusion imaging for differentiating WHO subtypes of thymic epithelial tumors.

Authors:  Chunhai Yu; Ting Li; Ruiping Zhang; Xiaotang Yang; Zhao Yang; Lei Xin; Zhikai Zhao
Journal:  Sci Rep       Date:  2020-03-26       Impact factor: 4.379

Review 10.  Imaging Evaluation of Thymoma and Thymic Carcinoma.

Authors:  Chad D Strange; Jitesh Ahuja; Girish S Shroff; Mylene T Truong; Edith M Marom
Journal:  Front Oncol       Date:  2022-01-03       Impact factor: 6.244

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