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Development of a Novel Tool for the Retrieval and Analysis of Hormone Receptor Expression Characteristics in Metastatic Breast Cancer via Data Mining on Pathology Reports
المؤلفون المشاركون
Chang, Chi-Chang
Chu, Yen-Wei
Chang, Kai-Po
Wang, John
المصدر
العدد
المجلد 2020، العدد 2020 (31 ديسمبر/كانون الأول 2020)، ص ص. 1-7، 7ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2020-05-27
دولة النشر
مصر
عدد الصفحات
7
التخصصات الرئيسية
الملخص EN
Information about the expression status of hormone receptors such as estrogen receptor (ER), progesterone receptor (PR), and Her-2 is crucial in the management and prognosis of breast cancer.
Therefore, the retrieval and analysis of hormone receptor expression characteristics in metastatic breast cancer may be valuable in breast cancer study.
Herein, we report a text mining tool based on word/phrase matching that retrieves hormone receptor expression data of regional or distant metastatic breast cancer from pathology reports.
It was tested on pathology reports at the China Medical University Hospital from 2013 to 2018.
The tool showed specificities of 91.6% and 63.3% for the detection of regional lymph node metastasis and distant metastasis, respectively.
Sensitivity in immunohistochemical study result extraction in these cases was 98.6% for distant metastasis and 78.3% for regional lymph node metastasis.
Statistical analysis on these retrieved data showed significant difference s in PR and Her-2 expressions between regional and metastatic breast cancer, which is compatible with previous studies.
In conclusion, our study shows that metastatic breast cancer hormone receptor expression characteristics can be retrieved by text mining.
The algorithm designed in this study may be useful in future studies about text mining in pathology reports.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Chang, Kai-Po& Wang, John& Chang, Chi-Chang& Chu, Yen-Wei. 2020. Development of a Novel Tool for the Retrieval and Analysis of Hormone Receptor Expression Characteristics in Metastatic Breast Cancer via Data Mining on Pathology Reports. BioMed Research International،Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1132654
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Chang, Kai-Po…[et al.]. Development of a Novel Tool for the Retrieval and Analysis of Hormone Receptor Expression Characteristics in Metastatic Breast Cancer via Data Mining on Pathology Reports. BioMed Research International No. 2020 (2020), pp.1-7.
https://search.emarefa.net/detail/BIM-1132654
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Chang, Kai-Po& Wang, John& Chang, Chi-Chang& Chu, Yen-Wei. Development of a Novel Tool for the Retrieval and Analysis of Hormone Receptor Expression Characteristics in Metastatic Breast Cancer via Data Mining on Pathology Reports. BioMed Research International. 2020. Vol. 2020, no. 2020, pp.1-7.
https://search.emarefa.net/detail/BIM-1132654
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1132654
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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