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Tummala R, Pearson E, Antes A, Slagowski JM, Redler G, Nilsson R, Halpern HJ, Sarigul N, Ahmed I, Velarde DO, Epel B, Gertsenshteyn I, Aydogan B. Retrospective analysis and IMRT replanning of a 3D-CRT murine dose painting study for preclinical oxygen-guided radiotherapy. Sci Rep 2025; 15:17755. [PMID: 40404740 PMCID: PMC12098787 DOI: 10.1038/s41598-025-01716-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2024] [Accepted: 05/06/2025] [Indexed: 05/24/2025] Open
Abstract
A recent parallel-opposed 3D-conformal radiotherapy (3D-CRT) study in mice compared dose escalation (boost) in hypoxic (pO2 ≤ 10 torr) and non-hypoxic tumor subvolumes. They found a hypoxic boost led to significantly greater (p < 1e-4) tumor control probability than an equivalent non-hypoxic boost. We imported imaging and treatment data from this study for 31 SCC7 squamous carcinoma murine leg tumor cases-16 hypoxic boost and 15 non-hypoxic boost plans into a commercial treatment planning system for preclinical radiotherapy. Treatments were retrospectively recalculated with a fast Monte Carlo dose engine. We replanned cases with 3-field IMRT using an analogous uncertainty budget as 3D-CRT. Comparing both treatment groups, the hypoxic boost treatments had a significantly higher hypoxic fraction receive the boost prescription as planned in 3D-CRT (p < 1e-4) and IMRT (p < 1e-4). Surprisingly, retrospective 3D-CRT non-hypoxic boost treatments had a significantly lower non-hypoxic fraction receive the boost prescription (p < 1e-4). 3D-CRT non-hypoxic boost also substantially underdosed the entire tumor between 48-68 Gy compared to the "equivalent" hypoxic boost. In IMRT, the non-hypoxic volume receiving boost prescription was significantly higher in the non-hypoxic boost (p = 0.0215) and dosing in the entire tumor was identical between boost groups. This study displays IMRT's potential to advance the quality of preclinical dose painting studies.
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Affiliation(s)
- Rajit Tummala
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA.
- Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA.
| | - Erik Pearson
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Avery Antes
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Jordan M Slagowski
- Department of Human Oncology, University of Wisconsin-Madison, Madison, WI, USA
| | - Gage Redler
- Department of Radiation Oncology, Moffitt Cancer Center, Tampa, FL, USA
| | | | - Howard J Halpern
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Neslihan Sarigul
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Ibrahim Ahmed
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Daniela Olivera Velarde
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Boris Epel
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Inna Gertsenshteyn
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
| | - Bulent Aydogan
- Department of Radiation and Cellular Oncology and Center for EPR Imaging In Vivo Physiology, The University of Chicago, Chicago, IL, USA
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Guo HL, Lu ZH, Zhong JH, Zhang HW. Effect of physical parameter differences on the performance of a knowledge-based partial arc VMAT RapidPlan model for left breast cancer. Front Oncol 2025; 15:1589270. [PMID: 40432918 PMCID: PMC12106513 DOI: 10.3389/fonc.2025.1589270] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2025] [Accepted: 04/22/2025] [Indexed: 05/29/2025] Open
Abstract
Objective To optimize the protection of organs at risk (OARs) in left breast cancer radiotherapy, this study investigated how physical parameter adjustments affect the performance of a Rapidplan-based dose-volume histogram (DVH) prediction model. Methods Twenty patients who underwent left breast-conserving surgery were enrolled. Partial arc volumetric modulated arc therapy (VMAT) plans were designed per patient, with X-direction field width set to half-beam and right breast (Breast-R) contoured as an avoidance structure to generate Rapidplan model. The model was used to predict and generate three plans: AP_partial arc (avoidance structure prioritized), RP_partial arc (no avoidance structure), and FP_partial arc (expanded field width). Dosimetric comparisons against the original plan evaluated the impact of parameter selection. Results AP_partial arc reduced mean doses of Breast-R, Heart, Lung-L, and Lung-R by 7.7 cGy, 9.8 cGy, 16.7 cGy, and 1.1 cGy, respectively (p < 0.05). Conversely, RP_partial arc increased mean dose of Breast-R by 66.3 cGy (p < 0.05). FP_partial arc raised V5 of Lung-L, V5 of Heart, and mean dose of Lung-L by 4.01%, 2.25%, and 36 cGy (p < 0.05). Conclusion The knowledge-based partial arc model for rapid planning of left breast cancer accurately predicts the DVH of OARs. However, before performing dose prediction, physical parameters such as radiation field width and planned avoidance structures should be considered to reduce the risk of low-dose exposure volume to OARs and secondary cancer.
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Affiliation(s)
- Hai-liang Guo
- Department of Oncology, the First Affiliated Hospital of Gannan Medical University, Jiangxi Clinical Research Center for Cancer, First Clinical Medical College, Gannan Medical University, Ganzhou, China
| | - Zeng-hong Lu
- Department of Oncology, the First Affiliated Hospital of Gannan Medical University, Jiangxi Clinical Research Center for Cancer, First Clinical Medical College, Gannan Medical University, Ganzhou, China
| | - Jing-hua Zhong
- Department of Oncology, the First Affiliated Hospital of Gannan Medical University, Jiangxi Clinical Research Center for Cancer, First Clinical Medical College, Gannan Medical University, Ganzhou, China
| | - Huai-wen Zhang
- Department of Radiation Oncology, Jiangxi Cancer Hospital & Institute, Jiangxi Clinical Research Center for Cancer, The Second Affiliated Hospital of Nanchang Medical College, Nanchang, China
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Cilla S, Macchia G, Bonome P, Pezzulla D, Romano C, Boccardi M, Viola P, Galietta E, Donati CM, Morganti AG, Deodato F. Automated single-isocenter stereotactic body radiotherapy for multiple metastases from breast cancer: A case study. Med Dosim 2024; 50:57-62. [PMID: 39266381 DOI: 10.1016/j.meddos.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Accepted: 08/07/2024] [Indexed: 09/14/2024]
Abstract
Oligometastatic breast cancer patients can today could benefit from a multimodal approach, combining systemic therapy with metastasis-directed treatment using stereotactic body radiotherapy (SBRT). However, the possibility to synchronously treat multiple lesions is still challenging, needing the ability to generate complex dose distributions with steep dose gradients outside the lesions and major sparing of surrounding organs at risk and accurately track and reproduce the patient's position before and during radiation therapy. We report the case of an oligometastatic patient from left breast cancer, which occurred after a full course of whole breast radiotherapy, treated using the potential of modern technology including single-isocenter setup, plan automation, breath-hold technique and surface guided tracking and reproducibility of patient's position before and during radiation therapy. A 44-year-old female patient with a history of left breast cancer, specifically a luminal-B-like invasive ductal carcinoma with Her2 overexpression, was admitted to our department. The patient previously underwent a left mastectomy (pT2N0M0), 4 cycles of adjuvant chemotherapy, adjuvant radiotherapy on the chest wall and lymph nodes drainage, and 5 years of hormonal therapy. A chest wall ultrasound and positron emission tomography revealed the presence of new lesions in the area of the surgical scar from the previous mastectomy, internal mammary, axillary and retropectoral levels. The 3 lesions were simultaneously treated with a mono-isocentric VMAT plan using SBRT technique with a total dose of 30 Gy delivered in 5 fractions. Due to the technical challenges, this treatment was supported by the use of planning automation, breath-hold technique and surface-guided radiation therapy to improve the accuracy of the dose delivery. Two different plans were generated and compared to pursue the best dosimetric result, including a summed plan obtained from 3 individual SBRT plans for each lesion with a separate isocenter placed in each of them (MIP), and a single-isocenter SBRT plan able to treat multiple lesions synchronously (SIP). Because of the advantages in terms of dosimetry and dose delivery efficiency, the patient was successfully treated with the SIP plan. The treatment time was reduced to about 4.5 minutes, allowing the comfortably use of breath-hold technique. After treatment, the condition of the patient was normal, and no toxicities have been observed in follow-up. SBRT with mono isocentric VMAT planning represents the recommended approach to simultaneously treat multiple lesions in close proximity in the thoracic district.
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Affiliation(s)
- Savino Cilla
- Medical Physics Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy.
| | - Gabriella Macchia
- Radiation Oncology Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy
| | - Paolo Bonome
- Radiation Oncology Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy
| | - Donato Pezzulla
- Radiation Oncology Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy
| | - Carmela Romano
- Medical Physics Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy
| | - Mariangela Boccardi
- Radiation Oncology Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy
| | - Pietro Viola
- Medical Physics Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy
| | - Erika Galietta
- Radiation Oncology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Costanza M Donati
- Radiation Oncology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Alessio G Morganti
- Radiation Oncology Department, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy
| | - Francesco Deodato
- Radiation Oncology Unit, Department of Services and Laboratories, Responsible Research Hospital, Campobasso, Italy
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Abuduxiku M, Chen X, Zhang S, Yang J, Liao W, Xiao J. Optimization of collimator angle combined island blocking with parked gap achieves superior normal tissue sparing in SBRT planning of multiple liver lesions. J Appl Clin Med Phys 2024; 25:e14267. [PMID: 38259201 PMCID: PMC11163495 DOI: 10.1002/acm2.14267] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2023] [Revised: 09/20/2023] [Accepted: 12/27/2023] [Indexed: 01/24/2024] Open
Abstract
PURPOSE To propose an efficient collimator angle optimization method by combining island blocking (IB) and parked gap (PG) problem to reduce the radiotherapy dose for normal tissue. The reduction will be done with single-isocenter multi-lesion volumetric modulated arc therapy (VMAT) for the stereotactic body radiation therapy (SBRT) of liver cancer. METHODS A novel collimator angle optimization algorithm was developed based on the two-dimensional projection of targets on a beam's eye view (BEV) plane as a function of gantry and collimator angle. This optimization algorithm minimized the sum of the combined IB and PG (IB & PG) areas from all gantry angles for each arc. For comparison, two SBRT plans were respectively generated for each of the 20 retrospective liver cancer cases with multiple lesions. One plan was optimized using the IB & PG algorithm, and the other plan was optimized with a previously reported optimization algorithm that only considered the IB area. Plans were then evaluated and compared using typical dosimetric metrics. RESULTS With the comparable target coverage, IB & PG plans had significantly lower D500cc, D700cc, mean dose (Dmean), and V15 of normal liver tissues when compared to IB plans. The median percent reductions were 3.32% to 5.36%. The D1cc, D5cc, and Dmean for duodenum and small intestine in IB & PG plans were significantly reduced in a range from 7.60% up to 16.03%. Similarly, the median integral dose was reduced by 3.73%. Furthermore, the percentage of normal liver Dmean sparing when IB & PG plans compared to IB plans, was found to be positively correlated (ρ = 0.669, P = 0.001) with the inter-target distance. CONCLUSION The proposed IB & PG algorithm has been demonstrated to outperform the IB algorithm in almost all normal tissue sparing, and the magnitude of liver sparing was positively correlated with inter-target distance.
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Affiliation(s)
- Maidina Abuduxiku
- Radiotherapy Physics & Technology CenterCancer CenterWest China HospitalSichuan UniversityChengduSichuanChina
| | - Xiaoqiang Chen
- Radiotherapy Physics & Technology CenterCancer CenterWest China HospitalSichuan UniversityChengduSichuanChina
| | - Shu Zhang
- Head and Neck Oncology DepartmentCancer CenterWest China HospitalSichuan UniversityChengduSichuanChina
- Department of Radiation OncologyCancer CenterWest China HospitalSichuan UniversityChengduSichuanChina
| | - Jiangping Yang
- Head and Neck Oncology DepartmentCancer CenterWest China HospitalSichuan UniversityChengduSichuanChina
| | - Wenjun Liao
- Department of Radiation OncologyAffiliated Cancer Hospital of University of Electronic Science and Technology of ChinaChengduChina
| | - Jianghong Xiao
- Radiotherapy Physics & Technology CenterCancer CenterWest China HospitalSichuan UniversityChengduSichuanChina
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Tang C, Liu B, Yuan J, He J, Xie R, Huang M, Niu S, Liu H. Dosimetric evaluation of different planning strategies for hypofractionated whole-breast irradiation technique. Phys Med Biol 2024; 69:115025. [PMID: 38670137 DOI: 10.1088/1361-6560/ad4445] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/24/2023] [Accepted: 04/26/2024] [Indexed: 04/28/2024]
Abstract
Purpose.The dose hotspot areas in hypofractionated whole-breast irradiation (WBI) greatly increase the risk of acute skin toxicity because of the anatomical peculiarities of the breast. In this study, we presented several novel planning strategies that integrate multiple sub-planning target volumes (sub-PTVs), field secondary placement, and RapidPlan models for right-sided hypofractionated WBI.Methods.A total of 35 cases of WBI with a dose of 42.5 Gy for PTVs using tangential intensity-modulated radiotherapy (IMRT) were selected. Both PTVs were planned for simultaneous treatment using the original manual multiple sub-PTV plan (OMMP) and the original manual single-PTV plan (OMSP). The manual field secondary placement multiple sub-PTV plan (m-FSMP) with multiple objects on the original PTV and the manual field secondary placement single-objective plan (m-FSSP) were initially planned, which were distribution-based of V105 (volume receiving 105% of the prescription dose). In addition, two RapidPlan-based plans were developed, including the RapidPlan-based multiple sub-PTVs plan (r-FSMP) and the RapidPlan-based single-PTV plan (r-FSSP). Dosimetric parameters of the plans were compared, and V105 was evaluated using multivariate analysis to determine how it was related to the volume of PTV and the interval of lateral beam angles (ILBA).Results.The lowest mean V105 (5.64 ± 6.5%) of PTV was observed in m-FSMP compared to other manual plans. Upon validation, r-FSSP demonstrated superior dosimetric quality for OAR compared to the two other manual planning methods, except for V5(the volume of ipsilateral lung receiving 5 Gy) of the ipsilateral lung. While r-FSMP showed no significant difference (p = 0.06) compared to r-FSSP, it achieved the lowest V105 value (4.3 ± 4.5%), albeit with a slight increase in the dose to some OARs. Multivariate GEE linear regression showed that V105 is significantly correlated with target volume and ILBA.Conclusions.m-FSMP and r-FSMP can substantially enhance the homogeneity index (HI) and reduce V105, thereby minimizing the risk of acute skin toxicities, even though there may be a slight dose compromise for certain OARs.
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Affiliation(s)
- Chunbo Tang
- Department of Radiation Oncology, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, People's Republic of China
- Jiangxi Clinical Research Center for Cancer, Ganzhou 341000, People's Republic of China
| | - Biaoshui Liu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China
| | - Jun Yuan
- Department of Radiation Oncology, First Affiliated Hospital of Gannan Medical University, Ganzhou 341000, People's Republic of China
- Jiangxi Clinical Research Center for Cancer, Ganzhou 341000, People's Republic of China
| | - Ji He
- School of Biomedical Engineering, Fourth Affiliated Hospital of Guangzhou, Guangzhou Medical University, Guangzhou 511495, People's Republic of China
| | - Ruilian Xie
- Jiangxi Clinical Research Center for Cancer, Ganzhou 341000, People's Republic of China
| | - Minfeng Huang
- First Clinical Medical College, Gannan Medical University, Ganzhou 341000, People's Republic of China
| | - Shanzhou Niu
- School of Mathematics and Computer Science, Gannan Normal University, Ganzhou 341000, People's Republic of China
- Ganzhou Key Laboratory of Computational Imaging , Gannan Normal University, Ganzhou 341000, People's Republic of China
| | - Hongdong Liu
- Department of Radiation Oncology, Sun Yat-sen University Cancer Center, Guangzhou 510060, People's Republic of China
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Zhang Y, Niu S, Yuan J, Wang X, Gong C, Tang C. Dosimetric Effect of Target Position Accuracy on Single-Isocenter Multiple Liver Metastases SBRT. Technol Cancer Res Treat 2024; 23:15330338241257422. [PMID: 38780512 PMCID: PMC11119531 DOI: 10.1177/15330338241257422] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 04/17/2024] [Accepted: 05/01/2024] [Indexed: 05/25/2024] Open
Abstract
Purpose: To evaluate the dosimetric effects of intrafraction baseline shifts combined with rotational errors on Four-dimensional computed tomography-guided stereotactic body radiotherapy for multiple liver metastases (MLMs). Methods: A total of 10 patients with MLM (2 or 3 lesions) were selected for this retrospective study. Baseline shift errors of 0.5, 1.0, and 2.0 mm; and rotational errors of 0.5°, 1°, and 1.5°, were simulated about all axes. All of the baseline shifts and rotation errors were simulated around the planned isocenter using a matrix transformation of 6° of freedom. The coverage degradation of baseline shifts and rotational errors were analyzed according to the dose to 95% of the planning target volume (D95) and the volume covered by 95% of the prescribed dose (V95), and related changes in gross tumor volume were also analyzed. Results: At the rotation error of 0.5° and the baseline offset of less than 0.5 mm, the D95 and V95 values of all targets were >95%. For rotational errors of 1.0° (combined with all baseline shift errors), 36.3% of targets had D95 and V95 values of <95%. Coverage worsened substantially when the baseline shift errors were increased to 1.0 mm. D95 and V95 values were >95% for about 77.3% of the targets. Only 11.4% of the D95 and V95 values were >95% when the baseline shift errors were increased to 2.0 mm. When the rotational error was increased to 1.5° and baseline shift errors increased to 1.0 mm, the D95 and V95 values were >95% in only 3 cases. Conclusions: The multivariate regression model analysis in this study showed that the coverage of the target decreased further with reduced target volume, increasing the baseline drift, the rotation error, and the distance to the target.
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Affiliation(s)
- Yun Zhang
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang, Jiangxi, PR China
- The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, PR China
- Jiangxi Clinical Research Center for Cancer, JXHC Key Laboratory of Tumor Microenvironment and Immunoregulation (Jiangxi Cancer Hospital), Nanchang, Jiangxi, PR China
| | - Shanzhou Niu
- Ganzhou Key Laboratory of Computational Imaging, Gannan Normal University, Ganzhou, Jiangxi Province, China
| | - Jun Yuan
- Department of Oncology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
| | - Xiaoping Wang
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang, Jiangxi, PR China
- The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, PR China
- Jiangxi Clinical Research Center for Cancer, JXHC Key Laboratory of Tumor Microenvironment and Immunoregulation (Jiangxi Cancer Hospital), Nanchang, Jiangxi, PR China
| | - Changfei Gong
- Department of Radiation Oncology, Jiangxi Cancer Hospital, Nanchang, Jiangxi, PR China
- The Second Affiliated Hospital of Nanchang Medical College, Nanchang, Jiangxi, PR China
- Jiangxi Clinical Research Center for Cancer, JXHC Key Laboratory of Tumor Microenvironment and Immunoregulation (Jiangxi Cancer Hospital), Nanchang, Jiangxi, PR China
| | - Chunbo Tang
- Department of Oncology, First Affiliated Hospital of Gannan Medical University, Ganzhou, China
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