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Quantitative parameters of dual-layer spectral detector computed tomography for evaluating Ki-67 and human epidermal growth factor receptor 2 expression in colorectal adenocarcinoma.
Chen, Jinghua; Tang, Liang; Xie, Ping; Qian, Tingting; Huang, Jian; Liu, Kefu.
Affiliation
  • Chen J; Department of Radiology, Taicang Hospital of Traditional Chinese Medicine, Taicang, China.
  • Tang L; Department of Radiology, Taicang Hospital of Traditional Chinese Medicine, Taicang, China.
  • Xie P; Department of Ultrasound, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
  • Qian T; Department of Pathology, Taicang Hospital of Traditional Chinese Medicine, Taicang, China.
  • Huang J; Department of Radiology, Taicang Hospital of Traditional Chinese Medicine, Taicang, China.
  • Liu K; Department of Radiology, The Affiliated Suzhou Hospital of Nanjing Medical University, Suzhou, China.
Quant Imaging Med Surg ; 14(1): 789-799, 2024 Jan 03.
Article in En | MEDLINE | ID: mdl-38223090
ABSTRACT

Background:

Ki-67 and human epidermal growth factor receptor 2 (HER2) are key biomarkers in evaluating the prognosis of colorectal adenocarcinoma (CRAC). The purpose of this study was to investigate the value of quantitative parameters in dual-layer spectral detector computed tomography (SDCT) for evaluating the expression of Ki-67 and HER2 in CRAC.

Methods:

In this retrospective, cross-sectional study, 88 eligible patients with pathologically confirmed CRAC were selected from Taicang Hospital of Traditional Chinese Medicine between May 2021 and April 2023. The study participants underwent enhanced SDCT of the whole abdomen within 2 weeks before to surgery, did not receive antitumor therapy, and had complete immunohistochemical (IHC) indexes. Patients with nonadenocarcinoma pathologic types, poor quality of spectral CT images, or no complete immunohistochemistry results were excluded. Spectral parameters including CT values at 40 and 100 keV, effective atomic number, iodine concentration (IC), the slope of the spectral Hounsfield unit (HU) curve (λHU), and normalized iodine concentration (NIC) in the arterial phase (AP) and venous phase (VP) were analyzed for their value in distinguishing between the high and low expression of Ki-67 and HER2-positive and -negative status in CRAC. The statistical significance of the SDCT parameters between the different groups of Ki-67 expression and those of HER2 status was assessed with the Mann-Whitney test. Spearman correlation analysis was used to analyze the correlation between the SDCT parameters and the extent of Ki-67 expression and HER2 expression status. The receiver operating characteristic (ROC) curve was used, and the area under the curve (AUC) was calculated.

Results:

The SDCT parameters of CT values at 40 keV, effective atomic number, IC, and the λHU in the VP showed significant differences between the Ki-67 high- and low-expression groups in CRAC (P=0.035, P=0.041, P=0.036, and P=0.044, respectively), with AUCs of 0.639 [95% confidence interval (CI) 0.512-0.766], 0.634 (95% CI 0.508-0.761), 0.638 (95% CI 0.510-0.766), and 0.633 (95% CI 0.504-0.762), respectively. The expression of CRAC Ki-67 was positively correlated with CT values at 40 keV (r=0.227; P=0.034), effective atomic number (r=0.219; P=0.040), IC (r=0.225; P=0.035), and the λHU in VP (r=0.216; P=0.043). SDCT parameter values showed no statistical difference between negative and positive expression in HER2 (all P values >0.05). There was no significant correlation between SDCT parameters and the expression of HER2 in CRAC (all P values >0.05).

Conclusions:

The quantitative parameters of SDCT in the VP provide valuable information for distinguishing between the low expression and high expression of Ki-67 in CRAC.
Key words

Full text: 1 Database: MEDLINE Traditional Medicines: Medicinas_tradicionales_de_asia / Medicina_china Type of study: Observational_studies / Prognostic_studies Language: En Journal: Quant Imaging Med Surg Year: 2024 Type: Article Affiliation country: China

Full text: 1 Database: MEDLINE Traditional Medicines: Medicinas_tradicionales_de_asia / Medicina_china Type of study: Observational_studies / Prognostic_studies Language: En Journal: Quant Imaging Med Surg Year: 2024 Type: Article Affiliation country: China