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Lemus OMD, Tanny S, Cummings M, Webster M, Wancura J, Jung H, Zhou Y, Yoon J, Pacella M, Zheng D. Influence of air mapping errors on the dosimetric accuracy of prostate CBCT-guided online adaptive radiation therapy. J Appl Clin Med Phys 2023; 24:e14057. [PMID: 37276082 PMCID: PMC10562036 DOI: 10.1002/acm2.14057] [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: 02/07/2023] [Revised: 04/27/2023] [Accepted: 05/11/2023] [Indexed: 06/07/2023] Open
Abstract
PURPOSE CBCT-guided online adaptive radiotherapy (oART) plans presently utilize daily synthetic CTs (sCT) that are automatically generated using deformable registration algorithms. These algorithms may have poor performance at reproducing variable volumes of gas present during treatment. Therefore, we have analyzed the air mapping error between the daily CBCTs and the corresponding sCT and explored its dosimetric effect on oART plan calculation. METHODS Abdominopelvic air volume was contoured on both the daily CBCT images and the corresponding synthetic images for 207 online adaptive pelvic treatments. Air mapping errors were tracked over all fractions. For two case studies representing worst case scenarios, dosimetric effects of air mapping errors were corrected in the sCT images using the daily CBCT air contours, then recalculating dose. Dose volume histogram statistics and 3D gamma passing rates were used to compare the original and air-corrected sCT-based dose calculations. RESULTS All analyzed patients showed observable air pocket contour differences between the sCT and the CBCT images. The largest air volume difference observed in daily CBCT images for a given patient was 276.3 cc, a difference of more than 386% compared to the sCT. For the two case studies, the largest observed change in DVH metrics was a 2.6% reduction in minimum PTV dose, with all other metrics varying by less than 1.5%. 3D gamma passing rates using 1%/1 mm criteria were above 90% when comparing the uncorrected and corrected dose distributions. CONCLUSION Current CBCT-based oART workflow can lead to inaccuracies in the mapping of abdominopelvic air pockets from daily CBCT to the sCT images used for the optimization and calculation of the adaptive plan. Despite the large observed mapping errors, the dosimetric effects of such differences on the accuracy of the adapted plan dose calculation are unlikely to cause differences greater than 3% for prostate treatments.
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Affiliation(s)
- Olga M. Dona Lemus
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Sean Tanny
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Michael Cummings
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Matthew Webster
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Joshua Wancura
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Hyunuk Jung
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Yuwei Zhou
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Jihyung Yoon
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Matthew Pacella
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
| | - Dandan Zheng
- Department of Radiation OncologyUniversity of Rochester Medical CenterNew YorkNew YorkUSA
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Damuka N, Dodda M, Bansode AH, Sai KKS. PET Use in Cancer Diagnosis, Treatment, and Prognosis. Methods Mol Biol 2022; 2413:23-35. [PMID: 35044651 PMCID: PMC9136679 DOI: 10.1007/978-1-0716-1896-7_4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Tumorigenesis is a multistep process marked by variations in numerous metabolic pathways that affect cellular architectures and functions. Cancer cells reprogram their energy metabolism to enable several basic molecular functions, including membrane biosynthesis, receptor regulations, bioenergetics, and redox stress. In recent years, cancer diagnosis and treatment strategies have targeted these specific metabolic changes and the tumor's interactions with its microenvironment. Positron emission tomography (PET) captures all molecular alterations leading to abnormal function and cancer progression. As a result, the development of PET radiotracers increasingly focuses on irregular biological pathways or cells that overexpress receptors that have the potential to function as biomarkers for early diagnosis and treatment measurements as well as research. This chapter reviews both established and evolving PET radiotracers used to image tumor biology. We have also included a few advantages and disadvantages of the routinely used PET radiotracers in cancer imaging.
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Affiliation(s)
- Naresh Damuka
- Department of Radiology, Wake Forest School of Medicine, Winston Salem, NC 27157
| | - Meghana Dodda
- Department of Radiology, Wake Forest School of Medicine, Winston Salem, NC 27157
| | - Avinash H Bansode
- Department of Radiology, Wake Forest School of Medicine, Winston Salem, NC 27157
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Abrantes AM, Pires AS, Monteiro L, Teixo R, Neves AR, Tavares NT, Marques IA, Botelho MF. Tumour functional imaging by PET. Biochim Biophys Acta Mol Basis Dis 2020; 1866:165717. [PMID: 32035103 DOI: 10.1016/j.bbadis.2020.165717] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2019] [Revised: 01/15/2020] [Accepted: 01/30/2020] [Indexed: 12/18/2022]
Abstract
Carcinogenesis is a complex multistep process, characterized by changes at different levels, both genetic and epigenetic, which alter cell metabolism. Positron emission tomography (PET) is a very sensitive image modality that allows to evaluate oncometabolism. PET functionalities are immense, since by labelling a molecule that specifically intervenes in a biochemical regulatory pathway of interest with a positron-emitting radionuclide, we can easily image that pathway. Thus, PET makes possible imaging several metabolic processes and assessing risk prediction, screening, diagnosis, response to therapy, metastization and recurrence. In this paper, we provide an overview of different radiopharmaceuticals developed for PET use in oncology, with a focus on brain tumours, breast cancer, hepatocellular carcinoma, neuroendocrine tumours, bladder cancer and prostate cancer because for these cancer types PET has been shown to be valuable. Most of the described tracers are just used in the research environment, with the aim to assess if these tracers could be able to offer an improvement concerning staging/restaging, characterization and stratification of different types of cancer, as well as therapeutic response assessment. In pursuit of personalized therapy, we briefly discuss the more established metabolic tracers and describe recent work on the development of new radiopharmaceuticals, aware that there will continue to exist diagnostic challenges to face modern cancer medicine.
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Affiliation(s)
- Ana Margarida Abrantes
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; CNC.IBILI Consortium/Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal.
| | - Ana Salomé Pires
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; CNC.IBILI Consortium/Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal.
| | - Lúcia Monteiro
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Ricardo Teixo
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; CNC.IBILI Consortium/Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal
| | - Ana Rita Neves
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Project Development Office, Department of Mathematics and Computer Science, Eindhoven University of Technology (TU/e), NL-5612 AE Eindhoven, the Netherlands
| | - Nuno Tiago Tavares
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Inês Alexandra Marques
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; CNC.IBILI Consortium/Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal; Faculty of Pharmacy, University of Coimbra, 3000-548 Coimbra, Portugal
| | - Maria Filomena Botelho
- Biophysics Institute, Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; Clinical Academic Center of Coimbra, 3004-561 Coimbra, Portugal; Coimbra Institute for Clinical and Biomedical Research (iCBR), Area of Environment Genetics and Oncobiology (CIMAGO), Faculty of Medicine, University of Coimbra, 3000-548 Coimbra, Portugal; CNC.IBILI Consortium/Center for Innovative Biomedicine and Biotechnology (CIBB), University of Coimbra, 3000-548 Coimbra, Portugal.
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The Molecular Effects of Ionizing Radiations on Brain Cells: Radiation Necrosis vs. Tumor Recurrence. Diagnostics (Basel) 2019; 9:diagnostics9040127. [PMID: 31554255 PMCID: PMC6963489 DOI: 10.3390/diagnostics9040127] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/08/2019] [Revised: 09/13/2019] [Accepted: 09/20/2019] [Indexed: 12/12/2022] Open
Abstract
The central nervous system (CNS) is generally resistant to the effects of radiation, but higher doses, such as those related to radiation therapy, can cause both acute and long-term brain damage. The most important results is a decline in cognitive function that follows, in most cases, cerebral radionecrosis. The essence of radio-induced brain damage is multifactorial, being linked to total administered dose, dose per fraction, tumor volume, duration of irradiation and dependent on complex interactions between multiple brain cell types. Cognitive impairment has been described following brain radiotherapy, but the mechanisms leading to this adverse event remain mostly unknown. In the event of a brain tumor, on follow-up radiological imaging often cannot clearly distinguish between recurrence and necrosis, while, especially in patients that underwent radiation therapy (RT) post-surgery, positron emission tomography (PET) functional imaging, is able to differentiate tumors from reactive phenomena. More recently, efforts have been done to combine both morphological and functional data in a single exam and acquisition thanks to the co-registration of PET/MRI. The future of PET imaging to differentiate between radionecrosis and tumor recurrence could be represented by a third-generation PET tracer already used to reveal the spatial extent of brain inflammation. The aim of the following review is to analyze the effect of ionizing radiations on CNS with specific regard to effect of radiotherapy, focusing the attention on the mechanism underling the radionecrosis and the brain damage, and show the role of nuclear medicine techniques to distinguish necrosis from recurrence and to early detect of cognitive decline after treatment.
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