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  • 1
    In: Journal of Hepato-Biliary-Pancreatic Sciences, Wiley, Vol. 30, No. 1 ( 2023-01), p. 133-143
    Abstract: Although we previously proposed a nomogram to predict malignancy in intraductal papillary mucinous neoplasms (IPMN) and validated it in an external cohort, its application is challenging without data on tumor markers. Moreover, existing nomograms have not been compared. This study aimed to develop a nomogram based on radiologic findings and to compare its performance with previously proposed American and Korean/Japanese nomograms. Methods We recruited 3708 patients who underwent surgical resection at 31 tertiary institutions in eight countries, and patients with main pancreatic duct  〉 10 mm were excluded. To construct the nomogram, 2606 patients were randomly allocated 1:1 into training and internal validation sets, and area under the receiver operating characteristics curve (AUC) was calculated using 10‐fold cross validation by exhaustive search. This nomogram was then validated and compared to the American and Korean/Japanese nomograms using 1102 patients. Results Among the 2606 patients, 90 had main‐duct type, 900 had branch‐duct type, and 1616 had mixed‐type IPMN. Pathologic results revealed 1628 low‐grade dysplasia, 476 high‐grade dysplasia, and 502 invasive carcinoma. Location, cyst size, duct dilatation, and mural nodule were selected to construct the nomogram. AUC of this nomogram was higher than the American nomogram (0.691 vs 0.664, P  = .014) and comparable with the Korean/Japanese nomogram (0.659 vs 0.653, P  = .255). Conclusions A novel nomogram based on radiologic findings of IPMN is competitive for predicting risk of malignancy. This nomogram would be clinically helpful in circumstances where tumor markers are not available. The nomogram is freely available at http://statgen.snu.ac.kr/software/nomogramIPMN .
    Type of Medium: Online Resource
    ISSN: 1868-6974 , 1868-6982
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2023
    detail.hit.zdb_id: 2536390-6
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  • 2
    In: Scientific Reports, Springer Science and Business Media LLC, Vol. 10, No. 1 ( 2020-11-18)
    Abstract: Most models for predicting malignant pancreatic intraductal papillary mucinous neoplasms were developed based on logistic regression (LR) analysis. Our study aimed to develop risk prediction models using machine learning (ML) and LR techniques and compare their performances. This was a multinational, multi-institutional, retrospective study. Clinical variables including age, sex, main duct diameter, cyst size, mural nodule, and tumour location were factors considered for model development (MD). After the division into a MD set and a test set (2:1), the best ML and LR models were developed by training with the MD set using a tenfold cross validation. The test area under the receiver operating curves (AUCs) of the two models were calculated using an independent test set. A total of 3,708 patients were included. The stacked ensemble algorithm in the ML model and variable combinations containing all variables in the LR model were the most chosen during 200 repetitions. After 200 repetitions, the mean AUCs of the ML and LR models were comparable (0.725 vs. 0.725). The performances of the ML and LR models were comparable. The LR model was more practical than ML counterpart, because of its convenience in clinical use and simple interpretability.
    Type of Medium: Online Resource
    ISSN: 2045-2322
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2020
    detail.hit.zdb_id: 2615211-3
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  • 3
    Online Resource
    Online Resource
    Springer Science and Business Media LLC ; 2023
    In:  Statistical Papers
    In: Statistical Papers, Springer Science and Business Media LLC
    Type of Medium: Online Resource
    ISSN: 0932-5026 , 1613-9798
    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2023
    detail.hit.zdb_id: 227641-0
    detail.hit.zdb_id: 2443477-2
    detail.hit.zdb_id: 1481169-8
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  • 4
    Online Resource
    Online Resource
    The Electrochemical Society ; 2020
    In:  ECS Meeting Abstracts Vol. MA2020-01, No. 31 ( 2020-05-01), p. 2313-2313
    In: ECS Meeting Abstracts, The Electrochemical Society, Vol. MA2020-01, No. 31 ( 2020-05-01), p. 2313-2313
    Abstract: Biosensors based on nano field-effect transistor(nanoFET) have been studied to detect from pH to biomolecules and anion in the air because its potential for label-free detection, rapid response time, low-cost and miniaturization [1-3]. The nanoFET sensor detect target species with a conductance change of nanochannel that is induced by the adsorption of charged substance or the surface potential of the sensing gate electrode. However, the sensing area on top of the nanochannel area is very small, the probability of binding of target molecules on the sensing surface of the device is very low. Therefore, we employ an electrically extended sensing electrode in order to improve adsorption probability of the charged substances and detection sensitivity. Here, we analyzed the behavior of the nanoFET senso r with an extended gate electrode and a reference electrode using pH solution of difference pH levels. It is a fundamental study to understand the behavior of nanoFET sensor with extended gate as biosensors, and it is necessary before applying it to various solution environment. Figure 1 shows the schematics of the nanoFET sensor with the extended gate electrode for pH level sensing of solution. The top gate electrode and the bottom substrate gate of the nanoFET sensor are electrically interconnected with the extended external electrode in order to increase the sensing area. The Ids-Vg characteristics of the nanoFET sensor with extended gate electrode, which is obtained by the voltage sweeping of the gate (Vg) as shown in Figure 2. The threshold voltage of the device is approximately -2.5 V. The electrode of an indium tin oxide(ITO) glass and a Ag/AgCl wire are used for the extended sensing gate electrode and the reference electrode. The connection for gate electrode and the reference electrode are compared with three cases of ITO-Ag/AgCl, Ag/AgCl-ITO and ITO-ITO respectively to compare pH response with the Ids-Vg sweep characteristics of the nanoFET sensor. In the pH sensing experiment, about 50 μL-solution having 4, 7 and 9.2 pH level are used, and it is dropped to a micro well on the extended sensing gate electrode as shown in Figure 1. Figure 3 shows Ids-Vg measurement results of varying the pH level on solution for the three connection cases of extended sensing gate electrode and reference electrode using the same device. Figure 3(a) shows Ids-Vg curve is shifted to the right side as the pH level rises in case of the reference electrode is the Ag/AgCl wire and the extended sensing gate electrode is the ITO glass. The response to pH level is shifted to left side as shown in Figure 3(b) when the electrode connection is reversed for the reference electrode and the extended sensing gate electrode with the ITO glass and the Ag/AgCl wire, respectively. In particular, it is confirmed that the nanoFET device don’t respond to the pH change of solution when both the reference electrode and the extended sensing gate electrode are the ITO glass. We finally conclude that the nanoFET sensor with the extended sensing gate electrode is affected by the surface potential in electrolyte solution induced by varying pH level. The equivalent circuit model of the nanoFET sensor is the series interconnection of two opposing electrolytic capacitors and the MOS capacitor of nanoFET device to the applied gate voltage as shown in Figure 4. Therefore, the nanoFET sensor with the extended gate electrode may not respond to the pH change or ion concentration in electrolyte solution when the interface of liquid-reference electrode is equal to interface of liquid-sensing electrode. In this study, we demonstrated experimentally the working principles of the nanoFET sensor with the extended gate electrode with the response to pH level of liquid solution. We found that the equivalent circuit model is the series connection of two opposing electrolytic capacitors in liquid solution and the MOS capacitor of the nanoFET device. The results suggest that the proper reference electrode should be utilized to measure the pH levels in liquid solution of nanoFET sensor and the other adequate reference electrode might be used to remove the effects induced by pH noise for the biosensor application such as immunosensors. This work was financially supported by the research funds (Grant No. 10076874 and No. 10077599) of the Ministry of trade, Industry and Energy, Korea [1]Matti Kaisti, Detection principles of biological and chemical FET sensors, Biosensors and Bioelectronics, 98 (2017) [2]Benjamin M. Lowe et al. Field-effect sensors-from pH sensing to biosensing: sensitivity enhancement using streptavidin-biotin as a model system, Analyst 142 (2017) [3]K.-N. Lee et al. Chemical gating experiment of a nano-field-effect transistor sensor using the detection of negative ions in air, Sens. Actuators, B 236 (2016) Figure 1
    Type of Medium: Online Resource
    ISSN: 2151-2043
    Language: Unknown
    Publisher: The Electrochemical Society
    Publication Date: 2020
    detail.hit.zdb_id: 2438749-6
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