Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network
Background: Nonfunctioning pituitary adenomas (NFPAs) are the most common pituitary tumors and although they do not secrete hormones, they can have systemic effects. These tumors affect the function of other organs in the body by exerting pressure on the pituitary gland. There are differences betwee...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wolters Kluwer Medknow Publications
2023-01-01
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| Series: | Advanced Biomedical Research |
| Subjects: | |
| Online Access: | http://www.advbiores.net/article.asp?issn=2277-9175;year=2023;volume=12;issue=1;spage=83;epage=83;aulast=Sayyadi |
| _version_ | 1827783472079437824 |
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| author | Shahram Sayyadi Hamid Reza Khayat Kashani Rozita Jafari Shirzad Azhari Sohrab Salimi Khalil Komlakh Morteza Alesaadi Pooyan Alizade Habtemariam Solomon Maryam Khayatkashani |
| author_facet | Shahram Sayyadi Hamid Reza Khayat Kashani Rozita Jafari Shirzad Azhari Sohrab Salimi Khalil Komlakh Morteza Alesaadi Pooyan Alizade Habtemariam Solomon Maryam Khayatkashani |
| author_sort | Shahram Sayyadi |
| collection | DOAJ |
| description | Background: Nonfunctioning pituitary adenomas (NFPAs) are the most common pituitary tumors and although they do not secrete hormones, they can have systemic effects. These tumors affect the function of other organs in the body by exerting pressure on the pituitary gland. There are differences between biomarkers NFPAs compared to healthy people. This study was conducted to show blood marker changes in adenomas compared to healthy people.
Materials and Methods: This article compared the blood markers of NFPAs with healthy individuals retrospectively. The difference between blood markers in the two groups was statistically investigated where the predictive value of blood markers in the differentiation of the two groups was determined. An artificial neural network was also designed using the blood markers with its accuracy and predictive value determined.
Results: A total of 96 NFPAs (nonfunctional pituitary adenoma) and 96 healthy individuals were evaluated. There was statistically a significant difference and positive correlation in platelet to lymphocyte ratio, neutrophil to lymphocyte ratio, and derived neutrophil to lymphocyte ratio between NFPAs and healthy individuals. There was a significant and negative correlation between red blood cell (RBC), lymphocyte, and monocyte between the two groups. RBC as an independent factor was associated with NFPAs. In this study, the artificial neural network was able to differentiate between NFPTs cases and healthy individuals with an accuracy of 81.2%.
Conclusion: There are differences between blood markers in NFPAs relative to healthy people and the artificial neural network can accurately differentiate between them. |
| first_indexed | 2024-03-11T15:48:04Z |
| format | Article |
| id | doaj.art-704520cbcc80428eb27ec79dbdf7c004 |
| institution | Directory Open Access Journal |
| issn | 2277-9175 |
| language | English |
| last_indexed | 2024-03-11T15:48:04Z |
| publishDate | 2023-01-01 |
| publisher | Wolters Kluwer Medknow Publications |
| record_format | Article |
| series | Advanced Biomedical Research |
| spelling | doaj.art-704520cbcc80428eb27ec79dbdf7c0042023-10-26T05:43:16ZengWolters Kluwer Medknow PublicationsAdvanced Biomedical Research2277-91752023-01-01121838310.4103/abr.abr_183_21Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural networkShahram SayyadiHamid Reza Khayat KashaniRozita JafariShirzad AzhariSohrab SalimiKhalil KomlakhMorteza AlesaadiPooyan AlizadeHabtemariam SolomonMaryam KhayatkashaniBackground: Nonfunctioning pituitary adenomas (NFPAs) are the most common pituitary tumors and although they do not secrete hormones, they can have systemic effects. These tumors affect the function of other organs in the body by exerting pressure on the pituitary gland. There are differences between biomarkers NFPAs compared to healthy people. This study was conducted to show blood marker changes in adenomas compared to healthy people. Materials and Methods: This article compared the blood markers of NFPAs with healthy individuals retrospectively. The difference between blood markers in the two groups was statistically investigated where the predictive value of blood markers in the differentiation of the two groups was determined. An artificial neural network was also designed using the blood markers with its accuracy and predictive value determined. Results: A total of 96 NFPAs (nonfunctional pituitary adenoma) and 96 healthy individuals were evaluated. There was statistically a significant difference and positive correlation in platelet to lymphocyte ratio, neutrophil to lymphocyte ratio, and derived neutrophil to lymphocyte ratio between NFPAs and healthy individuals. There was a significant and negative correlation between red blood cell (RBC), lymphocyte, and monocyte between the two groups. RBC as an independent factor was associated with NFPAs. In this study, the artificial neural network was able to differentiate between NFPTs cases and healthy individuals with an accuracy of 81.2%. Conclusion: There are differences between blood markers in NFPAs relative to healthy people and the artificial neural network can accurately differentiate between them.http://www.advbiores.net/article.asp?issn=2277-9175;year=2023;volume=12;issue=1;spage=83;epage=83;aulast=Sayyadineural networkbiomarkerserythrocyte countneutrophilslymphocytespituitary neoplasms |
| spellingShingle | Shahram Sayyadi Hamid Reza Khayat Kashani Rozita Jafari Shirzad Azhari Sohrab Salimi Khalil Komlakh Morteza Alesaadi Pooyan Alizade Habtemariam Solomon Maryam Khayatkashani Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network Advanced Biomedical Research neural network biomarkers erythrocyte count neutrophils lymphocytes pituitary neoplasms |
| title | Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network |
| title_full | Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network |
| title_fullStr | Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network |
| title_full_unstemmed | Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network |
| title_short | Predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network |
| title_sort | predictive value of blood markers in nonfunctional pituitary adenomas using artificial neural network |
| topic | neural network biomarkers erythrocyte count neutrophils lymphocytes pituitary neoplasms |
| url | http://www.advbiores.net/article.asp?issn=2277-9175;year=2023;volume=12;issue=1;spage=83;epage=83;aulast=Sayyadi |
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