عنوان مقاله :
مدلسازي مبتني بر عامل براي شبيهسازي بافت پستان و رشد و گسترش تومور در وضعيت‌هاي مختلف سرطان پستان
عنوان به زبان ديگر :
An Agent- based Modeling for Breast Tissue Simulation and the Growth and Spread of Tumor in Various Breast Cancer States
پديد آورندگان :
مرداني، سهيلا دانشگاه آزاد اسلامي واحد رودهن , رحمان، آرش دانشگاه آزاد اسلامي واحد رودهن , نفيسي، ناهيد دانشگاه علوم پزشكي ايران
كليدواژه :
شبيهسازي سرطان پستان , سرطان پستان , مدلسازي مبتني بر عامل
چكيده فارسي :
مقدمه: سرطان پستان سرطاني است كه از رشد غيرعادي سلولهاي پستان ايجاد ميشود. مدلسازي و شبيهسازي رشد و درمان سرطان پستان ميتواند ضمن فراهم آوردن امكان انجام آزمايشها و تحقيقات، زمان و هزينههاي درمان را از طريق پيشبيني برخي موارد كاهش دهد. هدف از پژوهش ايجاد مدلي مبتني بر عامل براي شبيهسازي نمودن بافت پستان و رشد و گسترش تومور در وضعيت‌هاي مختلف سرطان پستان بود.
روش: در اين پژوهش از روش مدلسازي و شبيهسازي مبتني بر عامل و مطالعات كتابخانه‌اي استفاده شد. با استفاده از نرم‌افزار NetLogo اقدام به طراحي و مدلسازي آناتومي پستان و توسعه مدل با دانش مورد نياز شد. سپس با توجه به سن بيمار و درجه‌بندي تومور و چگونگي گسترش سلولهاي سرطاني، شبيهسازي رشد و تكامل وضعيت‌هاي مختلف سرطان پستان در زمان‌هاي مختلف مورد بررسي قرار گرفت. براي اعتبار‌سنجي مدل، اطلاعات و گزارش‌هاي باليني مربوط به سن، درجه، سايز و رشد و گسترش تومور تعدادي از بيماران مبتلا به سرطان پستان مورد مطالعه و مدنظر قرار گرفت و با خروجي‌هاي مدل مقايسه شد.
نتايج: آزمايش‌هاي مربوط به تحليل و اعتبار‌سنجي مدل نشان داد كه مدل توسعه يافته، توانست نتايج نسبتاً قابل قبولي در خصوص رشد تومور پستان و تكثير سلولهاي سرطاني در غدد لنفاوي در وضعيت‌هاي مختلف سرطان پستان به همراه داشته باشد.
نتيجه گيري: مدلسازي مبتني بر عامل ميتواند به طور نسبتاً مفيد و كارا در شناسايي و تحليل رفتار سرطان پستان و پيشبيني رشد و تكثير سلولهاي سرطاني مورد استفاده قرار گيرد.
چكيده لاتين :
Introduction: Breast cancer is a cancer that is caused by abnormal growth of breast cells. Modeling and simulation of the growth and treatment of breast cancer, along with providing the possibility of doing experiments and research, can reduce the time and cost of treatment by predicting some cases. The purpose of the present research was to develop an agent-based model for the simulation of breast tissue and the growth and spread of tumor in various breast cancer states.
Method: In this research, agent-based modeling and simulation method, as well as library studies were used. NetLogo software was used for designing and modeling of breast anatomy and development of model with the required knowledge. Then, according to the patient's age, tumor grading and cancer cells spread, simulation of the growth and development of various breast cancer states in different times were investigated. In order to validate the model, clinical data and reports related to the age and grade, size, growth and spread of tumor in a number of patients with breast cancer were studied and considered and compared with model outcomes.
Results: According to the experiments related to the analysis and validation of the model, the developed model had relatively acceptable results about the growth of breast tumors and the proliferation of cancerous cells in lymph nodes in various breast cancer states.
Conclusion: Agent-based modeling can be used as a relatively useful and efficient method in identifying and analyzing breast cancer behavior and predicting the growth and proliferation of cancer cells.
چكيده عربي :
Introduction: Breast cancer is a cancer that is caused by abnormal growth of breast cells. Modeling and simulation of the growth and treatment of breast cancer, along with providing the possibility of doing experiments and research, can reduce the time and cost of treatment by predicting some cases. The purpose of the present research was to develop an agent-based model for the simulation of breast tissue and the growth and spread of tumor in various breast cancer states.
Method: In this research, agent-based modeling and simulation method, as well as library studies were used. NetLogo software was used for designing and modeling of breast anatomy and development of model with the required knowledge. Then, according to the patient's age, tumor grading and cancer cells spread, simulation of the growth and development of various breast cancer states in different times were investigated. In order to validate the model, clinical data and reports related to the age and grade, size, growth and spread of tumor in a number of patients with breast cancer were studied and considered and compared with model outcomes.
Results: According to the experiments related to the analysis and validation of the model, the developed model had relatively acceptable results about the growth of breast tumors and the proliferation of cancerous cells in lymph nodes in various breast cancer states.
Conclusion: Agent-based modeling can be used as a relatively useful and efficient method in identifying and analyzing breast cancer behavior and predicting the growth and proliferation of cancer cells.
عنوان نشريه :
مجله انفورماتيك سلامت و زيست پزشكي
