scholarly journals Correction to: Near-infrared auto-fluorescence spectroscopy combining with Fisher’s linear discriminant analysis improves intraoperative real-time identification of normal parathyroid in thyroidectomy

BMC Surgery ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Junsong Liu ◽  
Xiaoxia Wang ◽  
Rui Wang ◽  
Chongwen Xu ◽  
Ruimin Zhao ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Fluorescence Spectroscopy ◽  
Linear Discriminant Analysis ◽  
Real Time ◽  
Near Infrared ◽  
Linear Discriminant ◽  
Real Time Identification ◽  
Auto Fluorescence ◽  
Fisher’S Linear Discriminant

An amendment to this paper has been published and can be accessed via the original article.

scholarly journals Near-infrared auto-fluorescence spectroscopy combining with Fisher’s linear discriminant analysis improves intraoperative real-time identification of normal parathyroid in thyroidectomy

BMC Surgery ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Junsong Liu ◽  
Xiaoxia Wang ◽  
Rui Wang ◽  
Chongwen Xu ◽  
Ruimin Zhao ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Fluorescence Spectroscopy ◽  
Linear Discriminant Analysis ◽  
Real Time ◽  
Parathyroid Gland ◽  
Near Infrared ◽  
Parathyroid Glands ◽  
Linear Discriminant ◽  
Auto Fluorescence ◽  
Fisher’S Linear Discriminant

Abstract Background To evaluate the efficacy of a sensitive, real-time tool for identification and protection for parathyroid glands during thyroidectomy. Methods Near-infrared (NIR) auto-fluorescence was measured intraoperatively from 20 patients undergoing thyroidectomy. Spectra were measured from suspicious parathyroid glands and surrounding neck tissues during the operation with a NIR fluorescence system. Fast frozen sections were performed on the suspicious parathyroid glands. Accuracy was evaluated by comparison with histology and NIR identification. Data were attracted for Fisher’s linear discriminant analysis. Results The auto-fluorescence intensity of parathyroid was significantly higher than that of thyroid, fat and lymph node. The peak intensity of auto-fluorescence from parathyroid was 5.55 times of that from thyroid at the corresponding wave number. Of the 20 patients, the parathyroid was accurately detected and identified in 19 patients by NIR system, compared with their histologic results. One suspicious parathyroid did not exhibit typical spectra, and was proved to be fat tissue by histology. The NIR auto-fluorescence method had a 100% sensitivity of parathyroid glands identification and a high accuracy of 95%. The positive predictive value was 95%. The parathyroid gland have specific auto-fluorescence spectrum and can be separated from the other three samples through the Fisher’s linear discriminant analysis. Conclusions NIR auto-fluorescence spectroscopy can accurately identify normal parathyroid gland during thyroidectomy. The Fisher’s linear discriminant analysis demonstrated the specificity of the NIR auto-fluorescence of parathyroid tissue and its efficacy in parathyroid discrimination.

scholarly journals Near-infrared auto-fluorescence spectroscopy combining with Fisher’s linear discriminant analysis improves intraoperative real-time identification of normal parathyroid in thyroidectomy

2019 ◽  
Author(s):  
Junsong Liu ◽  
Xiaoxia Wang ◽  
Rui Wang ◽  
Chongwen Xu ◽  
Ruimin Zhao ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Fluorescence Spectroscopy ◽  
Linear Discriminant Analysis ◽  
Real Time ◽  
Parathyroid Gland ◽  
Parathyroid Glands ◽  
Linear Discriminant ◽  
Nir Fluorescence ◽  
Auto Fluorescence ◽  
Fisher’S Linear Discriminant

Abstract Background To evaluate the efficacy of a sensitive, real-time tool for identification and protection for parathyroid glands during thyroidectomy.Methods NIR fluorescence was measured intraoperatively from 20 patients undergoing thyroidectomy. Spectra were measured from suspicious parathyroid glands and surrounding neck tissues during the operation with a NIR fluorescence system. Fast frozen sections were performed on the suspicious parathyroid glands. Accuracy was evaluated by comparison with histology or NIR recognition. Data were attracted for Fisher’s linear discriminant analysis.Results The auto-fluorescence intensity of parathyroid was significantly higher than that of thyroid, fat and lymph node. The peak intensity of auto-fluorescence from parathyroid was 5.55 times of that from thyroid at the corresponding wave number. Of the 20 patients, the parathyroid was accurately detected and identified in 19 patients by NIR system, compared with their pathologic findings. One suspicious parathyroid did not exhibit typical spectra, and was proved to be fat tissue by pathology. The parathyroid gland have specific auto-fluorescence spectrum and can be separated from the other three samples through the Fisher’s linear discriminant analysis.Conclusions NIR auto-fluorescence spectroscopy can accurately identify normal parathyroid gland during thyroidectomy. The Fisher’s linear discriminant analysis demonstrated the specificity of the NIR auto-fluorescence of parathyroid tissue and its efficacy in parathyroid discrimination.

scholarly journals Near-infrared auto-fluorescence spectroscopy combining with Fisher’s linear discriminant analysis improves intraoperative real-time identification of normal parathyroid in thyroidectomy

2019 ◽  
Author(s):  
Junsong Liu ◽  
Xiaoxia Wang ◽  
Rui Wang ◽  
Chongwen Xu ◽  
Ruimin Zhao ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Real Time ◽  
Near Infrared ◽  
Parathyroid Tissue ◽  
Parathyroid Glands ◽  
Wave Number ◽  
Linear Discriminant ◽  
Auto Fluorescence ◽  
Fisher’S Linear Discriminant

Abstract Background To evaluate the efficacy of a sensitive, real-time tool for identification and protection of parathyroid glands during thyroidectomy. Methods Near-infrared (NIR) auto-fluorescence was measured intraoperatively from 20 patients undergoing thyroidectomy. To determine the accuracy of NIR identification furtherly, intraoperative fast frozen pathological examination and postoperative immunohistochemical staining were performed on the suspicious parathyroid glands and other neck tissues. Data were extracted for Fisher’s linear discriminant analysis. Results The auto-fluorescence intensity of parathyroid was significantly higher than that of thyroid, fat and lymph node. The peak intensity of auto-fluorescence from parathyroid was 5.55 times as much as that from thyroid at the corresponding wave number. Of the 20 patients, the parathyroid was accurately detected and identified in 19 patients by NIR system, compared with their histopathological results. One suspicious parathyroid tissue did not exhibit characteristic spectra, and finally was proved to be fat tissue by histopathological examination. The NIR auto-fluorescence method had a 100% (19/19) sensitivity of parathyroid glands identification and a high accuracy of 95% (19/20). The positive predictive value was 95%. The parathyroid gland has specific auto-fluorescence spectrum and can be separated from the other three types of tissues through the Fisher’s linear discriminant analysis with the average accuracy rate around 90%. Conclusions NIR auto-fluorescence spectoscopy can accurately identify normal parathyroid glands during thyroidectomy. The Fisher’s linear discriminant analysis demonstrated the specificity of the NIR auto-fluorescence of parathyroid tissue and its efficacy in parathyroid discrimination.

scholarly journals Near-infrared auto-fluorescence spectroscopy combining with Fisher’s linear discriminant analysis improves intraoperative real-time identification of normal parathyroid in thyroidectomy

2019 ◽  
Author(s):  
Junsong Liu ◽  
Xiaoxia Wang ◽  
Rui Wang ◽  
Chongwen Xu ◽  
Ruimin Zhao ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Real Time ◽  
Near Infrared ◽  
Parathyroid Tissue ◽  
Parathyroid Glands ◽  
Wave Number ◽  
Linear Discriminant ◽  
Auto Fluorescence ◽  
Fisher’S Linear Discriminant

Abstract Background To evaluate the efficacy of a sensitive, real-time tool for identification and protection of parathyroid glands during thyroidectomy. Methods Near-infrared (NIR) auto-fluorescence was measured intraoperatively from 20 patients undergoing thyroidectomy. To determine the accuracy of NIR identification furtherly, intraoperative fast frozen pathological examination and postoperative immunohistochemical staining were performed on the suspicious parathyroid glands and other neck tissues. Data were extracted for Fisher’s linear discriminant analysis. Results The auto-fluorescence intensity of parathyroid was significantly higher than that of thyroid, fat and lymph node. The peak intensity of auto-fluorescence from parathyroid was 5.55 times as much as that from thyroid at the corresponding wave number. Of the 20 patients, the parathyroid was accurately detected and identified in 19 patients by NIR system, compared with their histopathological results. One suspicious parathyroid tissue did not exhibit characteristic spectra, and finally was proved to be fat tissue by histopathological examination. The NIR auto-fluorescence method had a 100% (19/19) sensitivity of parathyroid glands identification and a high accuracy of 95% (19/20). The positive predictive value was 95%. The parathyroid gland has specific auto-fluorescence spectrum and can be separated from the other three types of tissues through the Fisher’s linear discriminant analysis with the average accuracy rate around 90%.Conclusions NIR auto-fluorescence spectoscopy can accurately identify normal parathyroid glands during thyroidectomy. The Fisher’s linear discriminant analysis demonstrated the specificity of the NIR auto-fluorescence of parathyroid tissue and its efficacy in parathyroid discrimination.

scholarly journals Discrimination of E uterpe oleracea  Mart. (Açaí) and E uterpe edulis  Mart. (Juçara) Intact Fruit Using Near-Infrared (NIR) Spectroscopy and Linear Discriminant Analysis

2015 ◽  
Vol 39 (6) ◽  
pp. 2856-2865 ◽  
Author(s):  
Yara Gurgel Dall' Acqua ◽  
Luis Carlos Cunha Júnior ◽  
Viviani Nardini ◽  
Valquira Garcia Lopes ◽  
José Dalton da Cruz Pessoa ◽  
...  
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Linear Discriminant

scholarly journals Identification of Wheat Varieties with a Parallel-Plate Capacitance Sensor Using Fisher’s Linear Discriminant Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-5 ◽  
Author(s):  
C. V. K. Kandala ◽  
K. N. Govindarajan ◽  
N. Puppala ◽  
V. Settaluri ◽  
R. S. Reddy
Keyword(s):  
Discriminant Analysis ◽  
Linear Discriminant Analysis ◽  
Parallel Plate ◽  
Wheat Variety ◽  
Capacitance Sensor ◽  
Wheat Varieties ◽  
Linear Discriminant ◽  
Variety Classification ◽  
Fisher’S Linear Discriminant

Fisher’s linear discriminant (FLD) models for wheat variety classification were developed and validated. The inputs to the FLD models were the capacitance (C), impedance (Z), and phase angle (θ), measured at two frequencies. Classification of wheat varieties was obtained as output of the FLD models.Zandθof a parallel-plate capacitance system, holding the wheat samples, were measured using an impedance meter, and theCvalue was computed. The best model developed classified the wheat varieties, with accuracy of 95.4%, over the six wheat varieties tested. This method is simple, rapid, and nondestructive and would be useful for the breeders and the peanut industry.

Sign in / Sign up

Export Citation Format

Share Document