Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean population
Abstract Biological dosimetry is crucial for estimating the doses from biological samples and guiding medical interventions for accidental radiation exposure. This study aimed to derive rapid and precise dose estimates using a dicentric chromosome assay. To address the challenges of manual scoring o...
Saved in:
| Main Authors: | , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-03-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-94678-8 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849391027604946944 |
|---|---|
| author | Su Jung Oh Min Ho Jeong Yeong-Rok Kang Chang Geun Lee HyoJin Kim Yong Uk Kye Moon-Taek Park Jeong-Hwa Baek Jung-Ki Kim Joong Sun Kim Soo Kyung Jeong Wol Soon Jo |
| author_facet | Su Jung Oh Min Ho Jeong Yeong-Rok Kang Chang Geun Lee HyoJin Kim Yong Uk Kye Moon-Taek Park Jeong-Hwa Baek Jung-Ki Kim Joong Sun Kim Soo Kyung Jeong Wol Soon Jo |
| author_sort | Su Jung Oh |
| collection | DOAJ |
| description | Abstract Biological dosimetry is crucial for estimating the doses from biological samples and guiding medical interventions for accidental radiation exposure. This study aimed to derive rapid and precise dose estimates using a dicentric chromosome assay. To address the challenges of manual scoring of dicentric chromosomes, we upgraded an automatic system aimed at enhancing the precision of dicentric chromosome detection while reducing the need for human intervention. We collected blood from 30 individuals aged 20–67 years to create 30 dose-response curves aiming to investigate the differences in responses among individuals. To validate dose-estimate accuracy within a 95% confidence interval, blinded samples were categorized into three groups according to the radiation dose as follows: ≥2, ≤ 1, and 0.1 Gy. When scoring dicentric chromosomes without human review and constructing a dose–response curve, individual differences were observed. For doses ≤ 1 Gy, the standard root formula was effective; conversely, for doses ≥ 2 Gy, the regression deep neural network proved to be more ac-curate. Our developed program allowed for the rapid analysis of a large volume of dicentric chromosome images. |
| format | Article |
| id | doaj-art-6a67a08358e84da7973165aecbb53a46 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-6a67a08358e84da7973165aecbb53a462025-08-20T03:41:14ZengNature PortfolioScientific Reports2045-23222025-03-0115111310.1038/s41598-025-94678-8Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean populationSu Jung Oh0Min Ho Jeong1Yeong-Rok Kang2Chang Geun Lee3HyoJin Kim4Yong Uk Kye5Moon-Taek Park6Jeong-Hwa Baek7Jung-Ki Kim8Joong Sun Kim9Soo Kyung Jeong10Wol Soon Jo11Dongnam Institute of Radiological and Medical Sciences (DIRAMS)Department of Microbiology, Dong-A University College of MedicineDongnam Institute of Radiological and Medical Sciences (DIRAMS)Dongnam Institute of Radiological and Medical Sciences (DIRAMS)Dongnam Institute of Radiological and Medical Sciences (DIRAMS)Department of Microbiology, Dong-A University College of MedicineDongnam Institute of Radiological and Medical Sciences (DIRAMS)Dongnam Institute of Radiological and Medical Sciences (DIRAMS)Dongnam Institute of Radiological and Medical Sciences (DIRAMS)College of Veterinary Medicine and BK21 Plus Project Team, Chonnam National UniversityDongnam Institute of Radiological and Medical Sciences (DIRAMS)Dongnam Institute of Radiological and Medical Sciences (DIRAMS)Abstract Biological dosimetry is crucial for estimating the doses from biological samples and guiding medical interventions for accidental radiation exposure. This study aimed to derive rapid and precise dose estimates using a dicentric chromosome assay. To address the challenges of manual scoring of dicentric chromosomes, we upgraded an automatic system aimed at enhancing the precision of dicentric chromosome detection while reducing the need for human intervention. We collected blood from 30 individuals aged 20–67 years to create 30 dose-response curves aiming to investigate the differences in responses among individuals. To validate dose-estimate accuracy within a 95% confidence interval, blinded samples were categorized into three groups according to the radiation dose as follows: ≥2, ≤ 1, and 0.1 Gy. When scoring dicentric chromosomes without human review and constructing a dose–response curve, individual differences were observed. For doses ≤ 1 Gy, the standard root formula was effective; conversely, for doses ≥ 2 Gy, the regression deep neural network proved to be more ac-curate. Our developed program allowed for the rapid analysis of a large volume of dicentric chromosome images.https://doi.org/10.1038/s41598-025-94678-8 |
| spellingShingle | Su Jung Oh Min Ho Jeong Yeong-Rok Kang Chang Geun Lee HyoJin Kim Yong Uk Kye Moon-Taek Park Jeong-Hwa Baek Jung-Ki Kim Joong Sun Kim Soo Kyung Jeong Wol Soon Jo Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean population Scientific Reports |
| title | Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean population |
| title_full | Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean population |
| title_fullStr | Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean population |
| title_full_unstemmed | Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean population |
| title_short | Automated system for establishing standard radiation dose–response curves and dose estimation for the Korean population |
| title_sort | automated system for establishing standard radiation dose response curves and dose estimation for the korean population |
| url | https://doi.org/10.1038/s41598-025-94678-8 |
| work_keys_str_mv | AT sujungoh automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT minhojeong automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT yeongrokkang automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT changgeunlee automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT hyojinkim automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT yongukkye automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT moontaekpark automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT jeonghwabaek automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT jungkikim automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT joongsunkim automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT sookyungjeong automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation AT wolsoonjo automatedsystemforestablishingstandardradiationdoseresponsecurvesanddoseestimationforthekoreanpopulation |