Multimodal imaging in radiotherapy: Focus on adaptive therapy and quality control

Talbot, Antoine; Devos, L; Dubus, F.; Vermandel, Maximilien

doi:10.1016/j.canrad.2020.04.007

Cited by 6 publications

(2 citation statements)

References 28 publications

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“…Dose fractionation and dose rate. Over the last decade, conventional radiotherapy was improved thanks to the emergence of intensity-modulated techniques and new protocols relying on altered fractionation [57]. In conventional radiotherapy, hypofractionation contributes inducing late effects in normal tissue but also increases tumour response through the reoxygenation of the tumour cells [58].…”

Section: Cellular Response To Exogenous Factorsmentioning

confidence: 99%

The ‘stealth-bomber’ paradigm for deciphering the tumour response to carbon-ion irradiation

Wozny

Rodriguez-Lafrasse

2023

Br J Cancer

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Numerous studies have demonstrated the higher biological efficacy of carbon-ion irradiation (C-ions) and their ballistic precision compared with photons. At the nanometre scale, the reactive oxygen species (ROS) produced by radiation and responsible for the indirect effects are differentially distributed according to the type of radiation. Photon irradiation induces a homogeneous ROS distribution, whereas ROS remain condensed in clusters in the C-ions tracks. Based on this linear energy transfer-dependent differential nanometric ROS distribution, we propose that the higher biological efficacy and specificities of the molecular response to C-ions rely on a ‘stealth-bomber’ effect. When biological targets are on the trajectories of the particles, the clustered radicals in the tracks are responsible for a ‘bomber’ effect. Furthermore, the low proportion of ROS outside the tracks is not able to trigger the cellular mechanisms of defence and proliferation. The ability of C-ions to deceive the cellular defence of the cancer cells is then categorised as a ‘stealth’ effect. This review aims to classify the biological arguments supporting the paradigm of the ‘stealth-bomber’ as responsible for the biological superiority of C-ions compared with photons. It also explains how and why C-ions will always be more efficient for treating patients with radioresistant cancers than conventional radiotherapy.

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Section: Cellular Response To Exogenous Factorsmentioning

confidence: 99%

The ‘stealth-bomber’ paradigm for deciphering the tumour response to carbon-ion irradiation

Wozny

Rodriguez-Lafrasse

2023

Br J Cancer

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“…This is accomplished by assessing the patient's anatomical changes and re-calculating the dose distribution based on the updated images. Typically, these images can be obtained either through a repeat computed tomography (CT) scan or by utilizing images captured on the same day, such as kilovoltage cone-beam CT (kV-CBCT) [6]. Implementing the repeat CT scan technique would lead to an increase in the patient's radiation dose and require additional time and labor.…”

Section: Introductionmentioning

confidence: 99%

Supervised deep learning-based synthetic computed tomography from kilovoltage cone-beam computed tomography images for adaptive radiation therapy in head and neck cancer

Khamfongkhruea,

Prakarnpilas,

Thongsawad

et al. 2024

Radiat Oncol J

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Purpose: To generate and investigate a supervised deep learning algorithm for creating synthetic computed tomography (sCT) images from kilovoltage cone-beam CT (kV-CBCT) images for adaptive radiation therapy (ART) in head and neck cancer (HNC). Materials and Methods:This study generated the supervised U-Net deep learning model using 3,491 image pairs from planning CT (pCT) and kV-CBCT datasets obtained from 40 HNC patients. The dataset was split into 80% for training and 20% for testing. The evaluation of the sCT images compared to pCT images focused on three aspects: Hounsfield units accuracy, assessed using mean absolute error (MAE) and root mean square error (RMSE); image quality, evaluated using the peak signal-tonoise ratio (PSNR) and structural similarity index (SSIM) between sCT and pCT images; and dosimetric accuracy, encompassing 3D gamma passing rates for dose distribution and percentage dose difference. Results: MAE, RMSE, PSNR, and SSIM showed improvements from their initial values of 53. 15 ± 40.09, 153.99 ± 79.78, 47.91 ± 4.98 dB, and 0.97 ± 0.02 to 41.47 ± 30.59, 130.39 ± 78.06, 49.93 ± 6.00 dB, and 0.98 ± 0.02, respectively. Regarding dose evaluation, 3D gamma passing rates for dose distribution within sCT images under 2%/2 mm, 3%/2 mm, and 3%/3 mm criteria, yielded passing rates of 92.1% ± 3.8%, 93.8% ± 3.0%, and 96.9% ± 2.0%, respectively. The sCT images exhibited minor variations in the percentage dose distribution of the investigated target and structure volumes. However, it is worth noting that the sCT images exhibited anatomical variations when compared to the pCT images. Conclusion: These findings highlight the potential of the supervised U-Net deep learningmodel in generating kV-CBCT-based sCT images for ART in patients with HNC.

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Longitudinal Image Data for Outcome Modeling

van Timmeren,

Bussink,

Koopmans

et al. 2024

Clinical Oncology

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Multimodal imaging in radiotherapy: Focus on adaptive therapy and quality control

Cited by 6 publications

References 28 publications

The ‘stealth-bomber’ paradigm for deciphering the tumour response to carbon-ion irradiation

The ‘stealth-bomber’ paradigm for deciphering the tumour response to carbon-ion irradiation

Supervised deep learning-based synthetic computed tomography from kilovoltage cone-beam computed tomography images for adaptive radiation therapy in head and neck cancer

Longitudinal Image Data for Outcome Modeling

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