Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images
Abstract Background Dose painting planning would be more complicated due to different levels of prescribed doses and more complex evaluation with conventional plan quality indices considering uniform dose prescription. Therefore, we tried to introduce new indices for evaluating the dose distribution...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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BMC
2022-11-01
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| Series: | Radiation Oncology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13014-022-02163-7 |
| _version_ | 1811211083572051968 |
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| author | Saman Moradi Bijan Hashemi Mohsen Bakhshandeh Amin Banaei Bahram Mofid |
| author_facet | Saman Moradi Bijan Hashemi Mohsen Bakhshandeh Amin Banaei Bahram Mofid |
| author_sort | Saman Moradi |
| collection | DOAJ |
| description | Abstract Background Dose painting planning would be more complicated due to different levels of prescribed doses and more complex evaluation with conventional plan quality indices considering uniform dose prescription. Therefore, we tried to introduce new indices for evaluating the dose distribution conformity and homogeneity of treatment volumes based on the tumoral cell density and relative volumes of each lesion in prostate IMRT. Methods CT and MRI scans of 20 male patients having local prostate cancer were used for IMRT DP planning. Apparent diffusion coefficient (ADC) images were imported to a MATLAB program to identify lesion regions based on ADC values automatically. Regions with ADC values lower than 750 mm2/s and regions with ADC values higher than 750 and less than 1500 mm2/s were considered CTV70Gy (clinical tumor volume with 70 Gy prescribed dose), and CTV60Gy, respectively. Other regions of the prostate were considered as CTV53Gy. New plan evaluation indices based on evaluating the homogeneity (IOE(H)), and conformity (IOE(C)) were introduced, considering the relative volume of each lesion and cellular density obtained from ADC images. These indices were compared with conventional homogeneity and conformity indices and IOEs without considering cellular density. Furthermore, tumor control probability (TCP) was calculated for each patient, and the relationship of the assessed indices were evaluated with TCP values. Results IOE (H) and IOE (C) with considering cellular density had significantly lower values compared to conventional indices and IOEs without considering cellular density. (P < 0.05). TCP values had a stronger relationship with IOE(H) considering cell density (R2 = -0.415), and IOE(C) without considering cell density (R2 = 0.624). Conclusion IOE plan evaluation indices proposed in this study can be used for evaluating prostate IMRT dose painting plans. We suggested to consider cell densities in the IOE(H) calculation formula and it’s appropriate to calculate IOE(C) without considering cell density values. |
| first_indexed | 2024-04-12T05:06:40Z |
| format | Article |
| id | doaj.art-019fff1cbd5a42f4b214f100eeb7db0d |
| institution | Directory Open Access Journal |
| issn | 1748-717X |
| language | English |
| last_indexed | 2024-04-12T05:06:40Z |
| publishDate | 2022-11-01 |
| publisher | BMC |
| record_format | Article |
| series | Radiation Oncology |
| spelling | doaj.art-019fff1cbd5a42f4b214f100eeb7db0d2022-12-22T03:46:51ZengBMCRadiation Oncology1748-717X2022-11-0117111010.1186/s13014-022-02163-7Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient imagesSaman Moradi0Bijan Hashemi1Mohsen Bakhshandeh2Amin Banaei3Bahram Mofid4Department of Medical Physics, Faculty of Medical Sciences, Tarbiat Modares UniversityDepartment of Medical Physics, Faculty of Medical Sciences, Tarbiat Modares UniversityDepartment of Radiology Technology, Faculty of Allied Medical Sciences, Shahid Beheshti University of Medical SciencesDepartment of Medical Physics, Faculty of Medical Sciences, Tarbiat Modares UniversityDepartment of Radiation Oncology, Faculty of Medicine, Shahid Beheshti University of Medical SciencesAbstract Background Dose painting planning would be more complicated due to different levels of prescribed doses and more complex evaluation with conventional plan quality indices considering uniform dose prescription. Therefore, we tried to introduce new indices for evaluating the dose distribution conformity and homogeneity of treatment volumes based on the tumoral cell density and relative volumes of each lesion in prostate IMRT. Methods CT and MRI scans of 20 male patients having local prostate cancer were used for IMRT DP planning. Apparent diffusion coefficient (ADC) images were imported to a MATLAB program to identify lesion regions based on ADC values automatically. Regions with ADC values lower than 750 mm2/s and regions with ADC values higher than 750 and less than 1500 mm2/s were considered CTV70Gy (clinical tumor volume with 70 Gy prescribed dose), and CTV60Gy, respectively. Other regions of the prostate were considered as CTV53Gy. New plan evaluation indices based on evaluating the homogeneity (IOE(H)), and conformity (IOE(C)) were introduced, considering the relative volume of each lesion and cellular density obtained from ADC images. These indices were compared with conventional homogeneity and conformity indices and IOEs without considering cellular density. Furthermore, tumor control probability (TCP) was calculated for each patient, and the relationship of the assessed indices were evaluated with TCP values. Results IOE (H) and IOE (C) with considering cellular density had significantly lower values compared to conventional indices and IOEs without considering cellular density. (P < 0.05). TCP values had a stronger relationship with IOE(H) considering cell density (R2 = -0.415), and IOE(C) without considering cell density (R2 = 0.624). Conclusion IOE plan evaluation indices proposed in this study can be used for evaluating prostate IMRT dose painting plans. We suggested to consider cell densities in the IOE(H) calculation formula and it’s appropriate to calculate IOE(C) without considering cell density values.https://doi.org/10.1186/s13014-022-02163-7Prostate cancerIntensity-modulated radiotherapyRadiobiologyAnatomical parametersAlgorithmic approach |
| spellingShingle | Saman Moradi Bijan Hashemi Mohsen Bakhshandeh Amin Banaei Bahram Mofid Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images Radiation Oncology Prostate cancer Intensity-modulated radiotherapy Radiobiology Anatomical parameters Algorithmic approach |
| title | Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images |
| title_full | Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images |
| title_fullStr | Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images |
| title_full_unstemmed | Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images |
| title_short | Introducing new plan evaluation indices for prostate dose painting IMRT plans based on apparent diffusion coefficient images |
| title_sort | introducing new plan evaluation indices for prostate dose painting imrt plans based on apparent diffusion coefficient images |
| topic | Prostate cancer Intensity-modulated radiotherapy Radiobiology Anatomical parameters Algorithmic approach |
| url | https://doi.org/10.1186/s13014-022-02163-7 |
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