Программная реализация системы принятия диагностических решений на основе мультипараметрических ультразвуковых показателей образований молочной железы

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Программная реализация системы принятия диагностических решений на основе мультипараметрических ультразвуковых показателей образований молочной железы. / Гончарова, Анастасия Борисовна ; Бусько, Екатерина Александровна.

In: Сибирский журнал клинической и экспериментальной медицины, Vol. 35, No. 4, 2020, p. 137-142.

Research output: Contribution to journal › Article › peer-review

BibTeX

@article{b16a0c998e614f58a90e33ddb20444c1,

title = "Программная реализация системы принятия диагностических решений на основе мультипараметрических ультразвуковых показателей образований молочной железы",

abstract = "Purpose. To build a system for making diagnostic decisions based on multiparametric ultrasound examination of the mammary gland. Material and Methods. A total of 277 women with various complaints of breast diseases were examined using a wide range of ultrasound technologies, including elastography and contrast enhancement. To verify the lesions, the patients underwent histological or cytological examination. The results of ultrasound examination, histological and cytological conclusions were entered into the database. The system was trained with 219 patient samples selected from the database. The patient's samples were grouped according to the visual ultrasound characteristics. The data groups' analysis allowed the compilation of a table with relative frequencies (probability) of symptoms for this diagnosis. Based on the convolution and the Bayesian method, the system for support of the medical decision by age, clinical picture, and ultrasound diagnostics results were built. Sensitivity and specificity were determined for software implementation in the initial database. Conclusion. The proposed decision support system allows us to determine the probability of malignancy and standardize decision-making in the differential diagnosis of breast masses.",

keywords = "Breast lesions, Diagnostic decision support system, Multiparametric ultrasound examination, Oncology",

author = "Гончарова, {Анастасия Борисовна} and Бусько, {Екатерина Александровна}",

year = "2020",

doi = "10.29001/2073-8552-2020-35-4-137-142",

language = "русский",

volume = "35",

pages = "137--142",

journal = "Siberian Journal of Clinical and Experimental Medicine",

issn = "2713-2927",

publisher = "Томский национальный исследовательский медицинский центр Российской академии наук",

number = "4",

}

RIS

TY - JOUR

T1 - Программная реализация системы принятия диагностических решений на основе мультипараметрических ультразвуковых показателей образований молочной железы

AU - Гончарова, Анастасия Борисовна

AU - Бусько, Екатерина Александровна

PY - 2020

Y1 - 2020

N2 - Purpose. To build a system for making diagnostic decisions based on multiparametric ultrasound examination of the mammary gland. Material and Methods. A total of 277 women with various complaints of breast diseases were examined using a wide range of ultrasound technologies, including elastography and contrast enhancement. To verify the lesions, the patients underwent histological or cytological examination. The results of ultrasound examination, histological and cytological conclusions were entered into the database. The system was trained with 219 patient samples selected from the database. The patient's samples were grouped according to the visual ultrasound characteristics. The data groups' analysis allowed the compilation of a table with relative frequencies (probability) of symptoms for this diagnosis. Based on the convolution and the Bayesian method, the system for support of the medical decision by age, clinical picture, and ultrasound diagnostics results were built. Sensitivity and specificity were determined for software implementation in the initial database. Conclusion. The proposed decision support system allows us to determine the probability of malignancy and standardize decision-making in the differential diagnosis of breast masses.

AB - Purpose. To build a system for making diagnostic decisions based on multiparametric ultrasound examination of the mammary gland. Material and Methods. A total of 277 women with various complaints of breast diseases were examined using a wide range of ultrasound technologies, including elastography and contrast enhancement. To verify the lesions, the patients underwent histological or cytological examination. The results of ultrasound examination, histological and cytological conclusions were entered into the database. The system was trained with 219 patient samples selected from the database. The patient's samples were grouped according to the visual ultrasound characteristics. The data groups' analysis allowed the compilation of a table with relative frequencies (probability) of symptoms for this diagnosis. Based on the convolution and the Bayesian method, the system for support of the medical decision by age, clinical picture, and ultrasound diagnostics results were built. Sensitivity and specificity were determined for software implementation in the initial database. Conclusion. The proposed decision support system allows us to determine the probability of malignancy and standardize decision-making in the differential diagnosis of breast masses.

KW - Breast lesions

KW - Diagnostic decision support system

KW - Multiparametric ultrasound examination

KW - Oncology

UR - http://www.scopus.com/inward/record.url?scp=85126108983&partnerID=8YFLogxK

U2 - 10.29001/2073-8552-2020-35-4-137-142

DO - 10.29001/2073-8552-2020-35-4-137-142

M3 - статья

AN - SCOPUS:85126108983

VL - 35

SP - 137

EP - 142

JO - Siberian Journal of Clinical and Experimental Medicine

JF - Siberian Journal of Clinical and Experimental Medicine

SN - 2713-2927

IS - 4

ER -

ID: 72034197