Predictive Value of Multi-Phase CT Radiomics in Delineating Early and Advanced T Staging of Colon Cancer
DOI:
https://doi.org/10.11113/mjfas.v20n5.3667Keywords:
T staging, colon cancer, multiple-phase CT, radiomics.Abstract
This study leveraged the power of multi-phase CT radiomics, which extracts detailed features from multi-phase images, to explore the distinction between early (T1-T2) and advanced (T3-T4) colon cancer stages in each of multiple phases, providing valuable insights to healthcare professionals and enhancing their decision-making capabilities. A total of 191 patients with surgically confirmed primary colon cancer were retrospectively included, and multi-phase CT scans (non-enhanced contrast phase, arterial phase, portal venous phase, and delayed phase) were conducted within one week before surgery. Three-dimensional segmentation of colonic tumors was performed on the images of the four phases, and radiomics features of each colonic tumor were automatically extracted. Minimum redundancy maximum relevance (mRMR) was applied to features selection in each of the four phases. The least absolute shrinkage and selection operator logistic regression was conducted to determine the association between radiomics features and early (T1-T2) and advanced (T3-T4) stages of colon cancer. Additionally, diagnostic performance comparison was carried out in four phases. The mean (±SD) age of the 191 individuals was 61.87±13.137 years, with females comprising 43.5% of the cohort. The selected features for the non-enhanced, arterial, portal venous, and delayed phases numbered 7, 11, 6, and 10, respectively. In the test set, the AUC values for the on-enhanced, arterial, portal venous, and delayed phases were 0.86 (0.76-0.96), 0.84 (0.73-0.94), 0.82 (0.71-0.93), and 0.86 (0.75-0.97), with corresponding accuracies of 0.84, 0.80, 0.75, and 0.88, sensitivities of 0.73, 0.64, 0.86, and 0.68, and specificities of 0.91, 0.91, 0.68, and 1.00, respectively. DeLong's test revealed no statistically significant differences in the AUC values between the four phases within the test sets (P = 0.3233~ 0.9912). Multi-phase CT radiomics demonstrated substantial value in differentiating between early (T1-T2) and advanced (T3-T4) stages of patients with colon cancer.
References
Abdullah Thaidi, N. I., Mat Jusoh, H., Ghazali, A. B., Susanti, D., & Haron, N. (2019). The effect of bioactive polyphenols from Anacardium occidentale Linn. leaves on alpha-amylase and dipeptidyl peptidase IV activities. Indonesian Journal of Chemistry.
Abdullahi, S., & Olatunji, G. A. (2010). Antidiabetic activity of Anacardium occidentale in alloxan–diabetic rats. Journal of Science and Technology, 30(3), 35–39.
Agius, L. (2008). Targeting hepatic glucokinase in type 2 diabetes: Weighing the benefits and risks. Diabetes, 58(1), 18–20.
Aracelli, de S. L., Md., T. I., Antonio, L. G. J., Joao, M. de C. e S., Marcus, V. O. B. de A., Marcia, F. C. J. P., Jose, A. D. L. (2016). Pharmacological properties of cashew (Anacardium occidentale). African Journal of Biotechnology, 15(35), 1855–1863.
Baig, M. H., Ahmad, K., Rabbani, G., Danishuddin, M., & Choi, I. (2018). Computer aided drug design and its application to the development of potential drugs for neurodegenerative disorders. Current Neuropharmacology, 16(6), 740–748.
Baptista, A., Gonçalves, R. V., Bressan, J., & do Carmo Gouveia Pelúzio, M. (2018). Antioxidant and antimicrobial activities of crude extracts and fractions of cashew (Anacardium occidentale L.), cajui (Anacardium microcarpum), and pequi (Caryocar brasiliense C.): A systematic review. Oxidative Medicine and Cellular Longevity.
Berg, J. M., Tymoczko, J. L., & Stryer, L. (2002). Biochemistry: Section 1.3, Chemical bonds in biochemistry (5th ed.). New York, NY: W H Freeman.
Chotphruethipong, L., Benjakul, S., & Kijroongrojana, K. (2019). Ultrasound assisted extraction of antioxidative phenolics from cashew (Anacardium occidentale L.) leaves. Journal of Food Science and Technology.
Dias, C. C. Q., Madruga, M. S., Pintado, M. M. E., Almeida, G. H. O., Alves, A. P. V., Dantas, F. A., … Soares, J. K. B. (2019). Cashew nuts (Anacardium occidentale L.) decrease visceral fat, yet augment glucose in dyslipidemic rats. PLOS ONE, 14(12).
El-Kabbani, O., Ruiz, F., Darmanin, C., & Chung, R. P.-T. (2004). Aldose reductase structures: Implications for mechanism and inhibition. Cellular and Molecular Life Sciences (CMLS), 61(7-8), 750–762.
Fikrika, H., Ambarsari, L., & Sumaryada, T. (2016). Molecular docking studies of catechin and its derivatives as anti-bacterial inhibitor for glucosamine-6-phosphate synthase. IOP Conference Series: Earth and Environmental Science, 31, 012009.
Hebert, L. F., Jr, Daniels, M. C., Zhou, J., Crook, E. D., Turner, R. L., Simmons, S. T., Neidigh, J. L., Zhu, J. S., Baron, A. D., & McClain, D. A. (1996). Overexpression of glutamine amidotransferase in transgenic mice leads to insulin resistance. The Journal of Clinical Investigation, 98(4), 930–936.
Hubbard, R. E. (2010). Hydrogen bonds in proteins: Role and strength. February.
Hyun, T. K., Eom, S. H., & Kim, J. (2014). Molecular docking studies for discovery of plant-derived α-glucosidase inhibitors. 7(3), 166–170.
Kalhotra, P., Chittepu, V. C., Osorio-Revilla, G., & Gallardo-Velázquez, T. (2019). Discovery of galangin as a potential DPP-4 inhibitor that improves insulin-stimulated skeletal muscle glucose uptake: A combinational therapy for diabetes. International Journal of Molecular Sciences, 20(5), 1228.
Klvana, M. (2018). Re: The number and distance of H-bond formed between protein-ligand complex varies in 2 different softwares, how it is possible?
Kondo, H., Fujimoto, K. J., Tanaka, S., Deki, H., & Nakamura, T. (2015). Theoretical prediction and experimental verification on enantioselectivity of haloacid dehalogenase L-DEX YL with chloropropionate. Chemical Physics Letters.
Mohammed, A., Kumar, D., & Rizvi, S. I. (2015). Antidiabetic potential of some less commonly used plants in traditional medicinal systems of India and Africa. Journal of Intercultural Ethnopharmacology, 4(1).
Natarajan, A., Sugumar, S., Bitragunta, S., & Balasubramanyan, N. (2015). Molecular docking studies of (4Z, 12Z)-cyclopentadeca-4, 12-dienone from Grewia hirsuta with some targets related to type 2 diabetes. BMC Complementary and Alternative Medicine, 15(1).
National Center for Biotechnology Information. PubChem Database. Phenol, CID=996.
Nur Athirah Zabidi, N., Nur Akmal Ishak, M., Muhajir Hamid, S., Siti Efliza Ashari, & Muhammad Alif Mohammad Latif. (2021). Inhibitory evaluation of Curculigo latifolia on α-glucosidase, DPP (IV) and in vitro studies in antidiabetic with molecular docking relevance to type 2 diabetes mellitus. Journal of Enzyme Inhibition and Medicinal Chemistry, 36(1), 109–121.
Nurul Iilani, A. H. (2015). Affinity of dehalogenase E towards various haloalkanoic acids. International Islamic University Malaysia, Kuantan.
Okpashi, V. E., Bayim, P. R. B., & Obi-Abang, M. (2014). Comparative effects of some medicinal plants: Anacardium occidentale, Eucalyptus globulus, Psidium guajava, and Xylopia aethiopica extracts in alloxan-induced diabetic male Wistar albino rats. Biochemistry Research International.
Rizvi, S. I., & Mishra, N. (2013). Traditional Indian medicines used for the management of diabetes mellitus. Journal of Diabetes Research.
Ross, I. A. (2001). Anacardium occidentale. In Medicinal plants of the world (2nd ed., pp. 43–45). Humana Press.
Salehi, G., Gültekin-Özgüven, K., Kırkın, Özçelik, Morais-Braga, Carneiro, Bezerra, et al. (2019). Anacardium plants: Chemical, nutritional composition and biotechnological applications. Biomolecules, 9(9), 465.
Schulze-Kaysers, N., Feuereisen, M. M., & Schieber, A. (2015). Phenolic compounds in edible species of the Anacardiaceae family – a review. RSC Advances, 5(89), 73301–73314.
Shen, W., & Lu, Y. H. (2013). Molecular docking of citrus flavonoids with some targets related to diabetes. Bangladesh Journal of Pharmacology, 8(2), 156–170.
Thallapally, P. K., & Nangia, A. (2001). A Cambridge Structural Database analysis of the C–H … Cl interaction: C–H … Cl2 and C–H … Cl–M often behave as hydrogen bonds but C–H … Cl–C is generally a van der Waals interaction, 1–6.
Wallace, A. C., Laskowski, R. A., & Thornton, J. M. (1995). LIGPLOT: A program to generate schematic diagrams of protein-ligand interactions. Clean up structure, 8(2), 127–134.
World Health Organization. (2020). Diabetes. Retrieved from https://www.who.int/news-room/fact-sheets/detail/diabetes
Yuan, H., Ma, Q., Ye, L., & Piao, G. (2016). The traditional medicine and modern medicine from natural products. Molecules, 21.
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Copyright (c) 2024 Kun Ma, Haobo Shi, Tian Swee Tan, Muhammad Amir As'ari, Yan Chai Hum, Jahanzeb Sheikh, Wei Huang, Kah Meng Leong, Matthias Foh Thye Tiong, Madeeha Sadia, Zhibo Wen
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