Literature DB >> 33413654

Dual-energy CT quantitative parameters for evaluating Immunohistochemical biomarkers of invasive breast cancer.

Xiaoxia Wang1, Daihong Liu1, Xiangfei Zeng1, Shixi Jiang1, Lan Li1, Tao Yu1, Jiuquan Zhang2.   

Abstract

BACKGROUND: Estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki67 are the most useful immunohistochemical biomarkers of invasive breast cancer. The purpose of this study is to investigate the possibility of quantitative parameters derived from dual-energy CT (DECT) to discriminate immunohistochemical biomarkers of invasive breast cancer.
METHODS: This prospective study enrolled 120 patients with invasive breast cancer who underwent preoperative contrast-enhanced DECT for staging purposes from June 2019 to January 2020. DECT quantitative parameters, including normalized iodine concentration (NIC), the slope of the spectral Hounsfield unit curve (λHu), and the normalized effective atomic number (nZeff), were obtained from reconstructed images. DECT quantitative parameters were compared with the expression status, and the correlations with the value of immunohistochemical biomarkers were evaluated. Inter-observer reproducibility analysis was performed to assess the measurement reproducibility of quantitative parameters. The diagnostic performance of the quantitative parameters was analyzed by receiver operating characteristic curve.
RESULTS: The ER-negative group tended to display higher venous phase NIC and nZeff compared with the ER-positive group (individually, p = 0.003, 0.011; area under the curve [AUC] of 0.65, 0.60). The PR-negative group demonstrated higher arterial and venous phase NIC compared with the PR-positive group (individually, p = 0.022, 0.005; AUC of 0.63, 0.65). NIC was correlated negatively with the value of ER and PR expression (r = - 0.175 ~ - 0.265, p = 0.002 ~ 0.042). The HER2-positive group tended to display higher venous phase nZeff than the HER2-negative group (p = 0.022; AUC of 0.59). The Ki67 high-proliferation group demonstrated higher arterial phase, venous phase NIC and nZeff than the Ki67 low-proliferation group (p < 0.001 ~ 0.005; AUC of 0.67 ~ 0.75). Both the NIC and nZeff were correlated positively with the value of Ki67 (r = 0.240 ~ 0.490, p < 0.001 ~ 0.014).
CONCLUSIONS: NIC and nZeff derived from DECT could be used to discriminate expression status and may associate with the value of immunohistochemical biomarkers of invasive breast cancer.

Entities:  

Keywords:  Dual-energy CT; Immunohistochemical biomarkers; Invasive breast cancer; Quantitative parameters

Mesh:

Substances:

Year:  2021        PMID: 33413654      PMCID: PMC7791709          DOI: 10.1186/s40644-020-00370-7

Source DB:  PubMed          Journal:  Cancer Imaging        ISSN: 1470-7330            Impact factor:   3.909


  35 in total

1.  The importance of tumor angiogenesis: the evidence continues to grow.

Authors:  Noel Weidner
Journal:  Am J Clin Pathol       Date:  2004-11       Impact factor: 2.493

2.  Dual-Energy CT of Rectal Cancer Specimens: A CT-based Method for Mesorectal Lymph Node Characterization.

Authors:  Issam Al-Najami; Regina G H Beets-Tan; Gunvor Madsen; Gunnar Baatrup
Journal:  Dis Colon Rectum       Date:  2016-07       Impact factor: 4.585

Review 3.  Recent developments of dual-energy CT in oncology.

Authors:  David Simons; Marc Kachelriess; Heinz-Peter Schlemmer
Journal:  Eur Radiol       Date:  2014-01-09       Impact factor: 5.315

4.  Multi-Institutional Evaluation of Digital Tomosynthesis, Dual-Energy Radiography, and Conventional Chest Radiography for the Detection and Management of Pulmonary Nodules.

Authors:  James T Dobbins; H Page McAdams; John M Sabol; Dev P Chakraborty; Ella A Kazerooni; Gautham P Reddy; Jenny Vikgren; Magnus Båth
Journal:  Radiology       Date:  2016-07-19       Impact factor: 11.105

5.  Protein array technology to detect HER2 (erbB-2)-induced 'cytokine signature' in breast cancer.

Authors:  Alejandro Vazquez-Martin; Ramon Colomer; Javier A Menendez
Journal:  Eur J Cancer       Date:  2007-03-26       Impact factor: 9.162

6.  Benefit of dual-energy CT iodine overlay technique for T1-hyperintense brain lesion.

Authors:  Younghen Lee; Hyung Suk Seo; Bo-Kyung Je; Sang-Dae Kim; Hwa Eun Oh
Journal:  Neurology       Date:  2017-09-26       Impact factor: 9.910

7.  Axillary Sentinel Lymph Nodes in Breast Cancer: Quantitative Evaluation at Dual-Energy CT.

Authors:  Xiang Zhang; Chushan Zheng; Zehong Yang; Ziliang Cheng; Heran Deng; Meiwei Chen; Xiaohui Duan; Jiaji Mao; Jun Shen
Journal:  Radiology       Date:  2018-08-28       Impact factor: 11.105

8.  Dual-energy computed tomography imaging of thyroid nodule specimens: comparison with pathologic findings.

Authors:  Ming Li; Xiangpeng Zheng; Jianying Li; Yanli Yang; Chen Lu; Hua Xu; Bo Yu; Li Xiao; Guozhen Zhang; Yanqing Hua
Journal:  Invest Radiol       Date:  2012-01       Impact factor: 6.016

9.  Tumor angiogenesis and metastasis--correlation in invasive breast carcinoma.

Authors:  N Weidner; J P Semple; W R Welch; J Folkman
Journal:  N Engl J Med       Date:  1991-01-03       Impact factor: 91.245

10.  Quantitative features of dual-energy spectral computed tomography for solid lung adenocarcinoma with EGFR and KRAS mutations, and ALK rearrangement: a preliminary study.

Authors:  Meng Li; Li Zhang; Wei Tang; Pei-Qing Ma; Li-Na Zhou; Yu-Jing Jin; Lin-Lin Qi; Ning Wu
Journal:  Transl Lung Cancer Res       Date:  2019-08
View more
  4 in total

1.  Application of machine learning with multiparametric dual-energy computed tomography of the breast to differentiate between benign and malignant lesions.

Authors:  Xiaosong Lan; Xiaoxia Wang; Jun Qi; Huifang Chen; Xiangfei Zeng; Jinfang Shi; Daihong Liu; Hesong Shen; Jiuquan Zhang
Journal:  Quant Imaging Med Surg       Date:  2022-01

2.  Predicting axillary lymph node metastasis in breast cancer using the similarity of quantitative dual-energy CT parameters between the primary lesion and axillary lymph node.

Authors:  Kanako Terada; Hiroko Kawashima; Norihide Yoneda; Fumihito Toshima; Miki Hirata; Satoshi Kobayashi; Toshifumi Gabata
Journal:  Jpn J Radiol       Date:  2022-07-25       Impact factor: 2.701

3.  Dual-source dual-energy computed tomography-derived quantitative parameters combined with machine learning for the differential diagnosis of benign and malignant thyroid nodules.

Authors:  Liling Jiang; Daihong Liu; Ling Long; Jiao Chen; Xiaosong Lan; Jiuquan Zhang
Journal:  Quant Imaging Med Surg       Date:  2022-02

4.  Dual-Energy Computed Tomography for Evaluation of Breast Cancer Follow-Ups: Comparison of Virtual Monoenergetic Images and Iodine-Map.

Authors:  Jun-Xian Li; Feng-Ji Xie; Chia-Hui Chen; Kuan-Ming Chen; Chia-Jung Tsai
Journal:  Diagnostics (Basel)       Date:  2022-04-10
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.