A Mathematical Model of Tumor Volume Changes during Radiotherapy
Purpose. To develop a clinically viable mathematical model that quantitatively predicts tumor volume change during radiotherapy in order to provide treatment response assessment for prognosis, treatment plan optimization, and adaptation. Method and Materials. The correction factors containing hypoxi...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2013-01-01
|
| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/181070 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849415477800992768 |
|---|---|
| author | Ping Wang Yuanming Feng |
| author_facet | Ping Wang Yuanming Feng |
| author_sort | Ping Wang |
| collection | DOAJ |
| description | Purpose. To develop a clinically viable mathematical model that quantitatively predicts tumor volume change during radiotherapy in order to provide treatment response assessment for prognosis, treatment plan optimization, and adaptation. Method and Materials. The correction factors containing hypoxia, DNA single strand breaks, potentially lethal damage, and other factors were used to develop an improved cell survival model based on the popular linear-quadratic model of cell survival in radiotherapy. The four-level cell population model proposed by Chvetsov et al. was further simplified by removing the initial hypoxic fraction and reoxygenation parameter, which are hard to obtain in routine clinics, such that an easy-to-use model can be developed for clinical applications. The new model was validated with data of nine lung and cervical cancer patients. Results. Out of the nine cases, the new model can predict tumor volume change in six cases with a correlation index R2 greater than 0.9 and the rest of three with R2 greater than 0.85. Conclusion. Based on a four-level cell population model, a more practical and simplified cell survival curve was proposed to model the tumor volume changes during radiotherapy. Validation study with patient data demonstrated feasibility and clinical usefulness of the new model in predicting tumor volume change in radiotherapy. |
| format | Article |
| id | doaj-art-68b6f5a857a84a40b4efc10066cd4fe0 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-68b6f5a857a84a40b4efc10066cd4fe02025-08-20T03:33:31ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/181070181070A Mathematical Model of Tumor Volume Changes during RadiotherapyPing Wang0Yuanming Feng1Department of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, ChinaDepartment of Radiation Oncology, Tianjin Medical University Cancer Institute and Hospital, Tianjin 300060, ChinaPurpose. To develop a clinically viable mathematical model that quantitatively predicts tumor volume change during radiotherapy in order to provide treatment response assessment for prognosis, treatment plan optimization, and adaptation. Method and Materials. The correction factors containing hypoxia, DNA single strand breaks, potentially lethal damage, and other factors were used to develop an improved cell survival model based on the popular linear-quadratic model of cell survival in radiotherapy. The four-level cell population model proposed by Chvetsov et al. was further simplified by removing the initial hypoxic fraction and reoxygenation parameter, which are hard to obtain in routine clinics, such that an easy-to-use model can be developed for clinical applications. The new model was validated with data of nine lung and cervical cancer patients. Results. Out of the nine cases, the new model can predict tumor volume change in six cases with a correlation index R2 greater than 0.9 and the rest of three with R2 greater than 0.85. Conclusion. Based on a four-level cell population model, a more practical and simplified cell survival curve was proposed to model the tumor volume changes during radiotherapy. Validation study with patient data demonstrated feasibility and clinical usefulness of the new model in predicting tumor volume change in radiotherapy.http://dx.doi.org/10.1155/2013/181070 |
| spellingShingle | Ping Wang Yuanming Feng A Mathematical Model of Tumor Volume Changes during Radiotherapy The Scientific World Journal |
| title | A Mathematical Model of Tumor Volume Changes during Radiotherapy |
| title_full | A Mathematical Model of Tumor Volume Changes during Radiotherapy |
| title_fullStr | A Mathematical Model of Tumor Volume Changes during Radiotherapy |
| title_full_unstemmed | A Mathematical Model of Tumor Volume Changes during Radiotherapy |
| title_short | A Mathematical Model of Tumor Volume Changes during Radiotherapy |
| title_sort | mathematical model of tumor volume changes during radiotherapy |
| url | http://dx.doi.org/10.1155/2013/181070 |
| work_keys_str_mv | AT pingwang amathematicalmodeloftumorvolumechangesduringradiotherapy AT yuanmingfeng amathematicalmodeloftumorvolumechangesduringradiotherapy AT pingwang mathematicalmodeloftumorvolumechangesduringradiotherapy AT yuanmingfeng mathematicalmodeloftumorvolumechangesduringradiotherapy |