ArticleTranslational cancer research2020
The predictive value of energy spectral CT parameters for assessing Ki-67 expression of lung cancer.
Article in Translational cancer research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed, 5 citations in OpenAlex.
- Application and Development of Spectral CT in Target Delineation for Lung Cancer Radiotherapy.Diagnostics (Basel, Switzerland) · 2026Review
- Photon counting computed tomography in head and neck squamous cell carcinoma: iodine concentration and histopathological features.Journal of cancer research and clinical oncology · 2026Article
- Particle filter-based parameter estimation algorithm for prognostic risk assessment of progression in non-small cell lung cancer.BMC medical informatics and decision making · 2023Article
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Authors and funding
11 authors at 1 institution in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundTo investigate the predictive value of energy spectral CT parameters for Ki-67 expression in lung cancer.
methodsIn this retrospective analysis, 27 primary lung cancer patients confirmed by pathological examination were enrolled between December 2018 and February 2019. All patients underwent baseline arterial phase (AP) and venous phase (VP) energy spectral CT scanning followed by surgery in our institution. The iodine concentration (IC), normalized iodine concentration (NIC) and the slope of 40-80 keV energy spectrum curve (λ
resultsThe tumors appeared larger in Ki-67 high expression group than the low expression group (P=0.046). The energy spectral parameters were higher in venous phase when compared to arterial phase, but only the venous phase NIC (vpNIC) was significantly different from that of the arterial phase NIC (apNIC) (P<0.01). There are significant differences in high and low Ki-67 expression groups for vpNIC and venous λ
conclusionsThe energy spectral parameters (NIC and λ
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