Near-infrared optical spectroscopy for pancreas shrinkage estimation with multi synchrosqueezing transform and multivariate regression model.
MSST
NIR spectroscopy
islet cell
pancreas
regression
β cell insulin
Journal
Microscopy research and technique
ISSN: 1097-0029
Titre abrégé: Microsc Res Tech
Pays: United States
ID NLM: 9203012
Informations de publication
Date de publication:
Feb 2022
Feb 2022
Historique:
revised:
26
08
2021
received:
24
03
2021
accepted:
29
08
2021
pubmed:
30
9
2021
medline:
19
1
2022
entrez:
29
9
2021
Statut:
ppublish
Résumé
In this article, we proposed a method to estimate pancreas shrinkage with pancreas β cell insulin secretion. The β cells in the pancreas secrete insulin and digestive enzymes after food consumption. Conventionally, the pancreas structure estimation is done with magnetic resonance imaging (MRI) and ultrasound imaging techniques. However, the structure of the pancreas changes due to islet cell death. The presence of islet cells is detected through near infrared (NIR) spectroscopy signal acquired from the epigastric region (pancreas) of the abdomen. Subsequently, the NIR spectroscopy signal from the pancreas is analyzed with multi synchrosqueezing transform (MSST); whereas, the β cell insulin secretion varies for diabetic and nondiabetic persons. The existence of β cell and insulin secretion correlates with Root Mean Square (RMS) and kurtosis via a multivariate regression model to evaluate pancreas shrinkage. In terms of numerical results, NIR spectroscopy signal from the pancreas was obtained for about 20 nondiabetic and 20 diabetic persons. The pancreas shrinkage was estimated with 88% accuracy. The results are validated with MRI pancreas images for earlier detection of the apoptotic pancreas. The pancreas shrinkage causes lower insulin emission and unpredictable blood glucose in diabetic patients. Analysis of NIR spectroscopy signals of the pancreas with MSST was done to obtain higher-order and lower-order frequency components.
Substances chimiques
Insulin
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
697-707Informations de copyright
© 2021 Wiley Periodicals LLC.
Références
Beć, K. B., & Huck, C. W. (2019). Breakthrough potential in near-infrared spectroscopy: Spectra simulation. A review of recent developments. Frontiers in Chemistry, 7. https://doi.org/10.3389/fchem.2019.00048
Bertrand, V., Smokvina, E., Masson, E., & Bruel, H. (2019). Severe acute pancreatitis in a child with phenylketonuria. Archives de Pédiatrie, 26(2), 2018-2020.
Coelho, A. M. M., Machado, M. C. C., Sampietre, S. N., da Silva, F. P., Cunha, J. E. M., & D'Albuquerque, L. A. C. (2019). Local and systemic effects of aging on acute pancreatitis. Pancreatology, 19(5), 638-645.
DeSouza, S. V., Priya, S., Cho, J., Singh, R. G., & Petrov, M. S. (2019). Pancreas shrinkage following recurrent acute pancreatitis: An MRI study. European Radiology, 29, 3746-3756.
Dhadlie, S., & Ratnayake, S. (2019). A rare case report of ascending colon perforation secondary to acute pancreatitis. International Journal of Surgery Case Reports, 55(1), 62-65.
Dong, P., Gao, Q., Wang, X., Li, J., Wang, B., & Subjects, A. (2013). Subperitoneal space of the mesentery involvement on abdominal computed tomography and their clinical significance in acute pancreatitis, Proceedings of 2013 ICME International Conference on Complex Medical Engineering. 1(1), 479-482.
Dong, P., Gao, Q-M., Wang, X-Z., Yang, C.-B., Chen, H-C., Liu, F-J., & Ge, Y-M. (2013). The correlative study between CTSI and gastrocolic ligament involvement in acute pancreatitis involving. IEEE International Conference on Medical Imaging Physics and Engineering, 2(1), 1-3.
Garg, P. K., & Singh, V. P. (2019). Organ failure due to systemic injury in acute pancreatitis. Gastroenterology, 156(7), 2008-2023.
Gnerucci, A., Ratto, F., Centi, S., Conti, A., Pini, R., Fusi, F., & Romano, G. (2014). A simple method to disentangle nanoparticle optical properties by darkfield microspectroscopy. Microscopy Research and Technique, 77(11), 886-895.
Gonzalez-Perez, A., Schlienger, R. G., & García Rodríguez, L. A. (2010). Acute pancreatitis in association with type 2 diabetes and antidiabetic drugs, a population-based cohort study. Diabetes Care, 33(12), 2580-2585.
Gori, E., Lippi, I., Guidi, G., Perondi, F., Pierini, A., & Marchetti, V. (2019). Acute pancreatitis and acute kidney injury in dogs. Veterinary Journal, 245(2019), 77-81.
Huang, J., He, D., Chen, L., Dong, C. Y., Zhang, S. H., Qin, Y. H., … Zhang, X. W. (2019). GC-MS based metabolomics strategy to distinguish three types of acute pancreatitis. Pancreatology, 19(5), 630-637.
Khurana, A., Anchi, P., Allawadhi, P., Kumar, V., Sayed, N., Packirisamy, G., & Godugu, C. (2019). Yttrium oxide nanoparticles reduce the severity of acute pancreatitis caused by cerulein hyperstimulation. Nanomedicine Nanotechnology, Biology and Medicine, 18(1), 54-65.
Koç, M. M., Aslan, N., Kao, A. P., & Barber, A. H. (2019). Evaluation of X-ray tomography contrast agents: A review of production, protocols, and biological applications. Microscopy Research and Technique, 82(6), 812-848.
Lin, Y. (2019). The application of artificial intelligence technology in the diagnosis of acute pancreatitis. 2019 Prognostics and System Health Management Conference, 2(1), 244-248.
Orhan, E. O., Irmak, Ö., Bal, E. Z., Danacı, Z., Babayeva, F., Orhan, E., & Yücel, B. C. (2020). Radiopacity quantification and spectroscopic characterization of OrthoMTA and RetroMTA. Microscopy Research and Technique, 84(6), 1095-1358.
Ozaki, Y., Genkawa, T., & Futami, Y. (2017). Near-infrared spectroscopy. In Encyclopedia of spectroscopy and spectrometry (pp. 40-49). Elsevier. https://doi.org/10.1016/b978-0-12-409547-2.12164-x
Párniczky, A., Lantos, T., Tóth, E. M., Szakács, Z., Gódi, S., Hágendorn, R., … Hungarian Pancreatic Study Group. (2019). Antibiotic therapy in acute pancreatitis: From global overuse to evidence based recommendations. Pancreatology, 19(4), 488-499.
Parupudi, S., & Abougergi, M. S. (2019). Trends in same-admission cholecystectomy and endoscopic retrograde cholangiopancreatography for acute gallstone pancreatitis: A nationwide analysis across a decade. Pancreatology, 19(4), 524-530.
Reghina, A. D., Craciun, S., & Fica, S. (2015). Severe transient hyperglycemia in a prediabetic patient during mild acute pancreatitis. Case Reports in Medicine, 1, 1-3. https://doi.org/10.1155/2015/968593
Rodríguez, E. S., De Paredes, A. G. G., & Albillos, A. (2019). Current management of acute idiopathic pancreatitis and acute recurrent pancreatitis. Revista Clínica Española (English Edition), 219(5), 266-274.
Rohlfs-Domínguez, P. (2014). Studying the effects of smell and taste experience in the pediatric population using functional near infrared spectroscopy: A hypothesis. Medical Hypotheses, 82(1), 89-93.
Solakoglu, T., Koseoglu, H., Isikoglu, S., Erel, O., & Ersoy, O. (2017). Association between antioxidants and mild acute pancreatitis. Arab Journal of Gastroenterology, 18(4), 201-205.
Sundararaj, V. (2016). An efficient threshold prediction scheme for wavelet based ECG signal noise reduction using variable step size firefly algorithm. International Journal of Intelligent Engineering and Systems, 9(3), 117-126.
Sundararaj, V. (2019). Optimised denoising scheme via opposition-based self-adaptive learning PSO algorithm for wavelet-based ECG signal noise reduction. International Journal of Biomedical Engineering and Technology, 31(4), 325.
Sundararaj, V., Muthukumar, S., & Kumar, R. S. (2018). An optimal cluster formation based energy efficient dynamic scheduling hybrid MAC protocol for heavy traffic load in wireless sensor networks. Computers & Security, 77, 277-288.
Sundararaj, V., & Selvi, M. (2021). Opposition grasshopper optimizer based multimedia data distribution using user evaluation strategy. Multimedia Tools and Applications, 80(19), 29875-29891. http://doi.org/10.1007/s11042-021-11123-4
Vinu, S. (2019). Optimal task assignment in mobile cloud computing by queue based ant-bee algorithm. Wireless Personal Communications, 104(1), 173-197.
Xue, A., Chan, M., & Gujral, T. S. (2020). Pan-cancer analysis of the developmental pathways reveals non-canonical Wnt signaling as a driver of mesenchymal-type tumors. Translational Research, 224, 1-15.
Yang, L., He, Z., Tang, X., & Liu, J. (2013). Type 2 diabetes mellitus and the risk of acute pancreatitis. European Journal of Gastroenterology & Hepatology, 25(2), 225-231. https://doi.org/10.1097/meg.0b013e32835af154