Comparison of <scp>CT</scp> images with average intensity projection, free breathing, and mid‐ventilation for dose calculation in lung cancer

Khamfongkhruea, Chirasak; Thongsawad, Sangutid; Tannanonta, Chirapha; Chamchod, Sasikarn

doi:10.1002/acm2.12037

Cited by 17 publications

(15 citation statements)

References 26 publications

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“…Previous studies have established that radiotherapy based on 4D-CT simulation enhances the accuracy of dosage and determines the locations of tumour(s) and OAR in the chest and abdomen (9–26,33). Certain previous studies have compared the composite methods of 4D-CT radiotherapy for lung cancer and liver cancer (9,17,20,23–26,33); however, at present, to the best of our knowldege, there is no study that has been published in English, which has investigated the same for breast cancer. To the best of the our knowledge, the present study is the first to compare the target volume and dosimetric differences between the 3D-CT radiotherapy plan and four 4D-CT radiotherapy plans (T00, T50, MIP and AIP plans) for whole breast radiotherapy.…”

Section: Discussionmentioning

confidence: 99%

Dosimetric comparison between three‑ and four‑dimensional computerised tomography radiotherapy for breast cancer

Yan

Lu²,

et al. 2019

Oncol Lett

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At present, methods of radiotherapy simulation for breast cancer based on four-dimensional computerised tomography (4D-CT) or three-dimensional CT (3D-CT) simulation remain controversial. In the present study, 7 patients with residual breast tissue received whole breast radiotherapy based on 3D-CT and 4D-CT simulation. For the 4D-CT plan, four types of CT images were produced, including images of the end of inspiration and the end of expiration, and images acquired by the maximal intensity projection (MIP) and average intensity projection (AIP). In the 3D-CT plan, the clinical target volume (CTV) and plan target volume (PTV) were marginally higher compared with the 4D-CT plan. In addition, the minimum point dose of the target volume ( D min ), the maximum point dose of the target volume ( D max ) and the mean point dose of the target volume ( D mean ) of the CTV and PTV in the MIP and AIP plans were marginally higher compared with the 3D-CT plan. For the contralateral breast (C-B), volumes of the 4D-CT plan were markedly lower compared with the 3D-CT plan. Furthermore, D min , D max and D mean of the 3D-CT plan were higher compared with the AIP and MIP plans. For the ipsilateral lungs (I-L), volumes of the 3D-CT and AIP plans were higher compared with the MIP plan. Furthermore, when breast lesions were on the left side, for the heart, the volume receiving no less than 40% of the prescription dose ( V 40 ) and the volume receiving no less than 30% of the prescription dose ( V 30 ) of the MIP and AIP plans were slightly lower compared with those of the 3D plan. In conclusion, 4D-CT radiotherapy based on the MIP and AIP plans provides a slightly smaller radiation area and slightly higher radiotherapy dosage of the CTV and PTV compared with 3D-CT radiotherapy for breast radiotherapy. Therefore, the MIP and AIP plans prevent C-B radiation exposure and improve sparing of the heart and I-L.

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Section: Discussionmentioning

confidence: 99%

Dosimetric comparison between three‑ and four‑dimensional computerised tomography radiotherapy for breast cancer

Yan

Lu²,

et al. 2019

Oncol Lett

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“…Image centers were defined as the medial point in the three‐dimensional volume. DRRs have proved to be suitable for contour delineation of anatomical structures 14,15 . DRRs were generated 16 for each of the 3D crops of the dataset in the lateral plane.…”

Section: Methodsmentioning

confidence: 99%

“…DRRs have proved to be suitable for contour delineation of anatomical structures. 14,15 DRRs were generated 16 for each of the 3D crops of the dataset in the lateral plane. Figure 4 shows DRRs of knee and hip crops of two different patients.…”

Section: C Digitally Reconstructed Radiographsmentioning

confidence: 99%

Three‐dimensional image volumes from two‐dimensional digitally reconstructed radiographs: A deep learning approach in lower limb CT scans

2021

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Purpose: Three-dimensional (3D) reconstructions of the human anatomy have been available for surgery planning or diagnostic purposes for a few years now. The different image modalities usually rely on several consecutive two-dimensional (2D) acquisitions in order to reconstruct the 3D volume. Hence, such acquisitions are expensive, time-demanding and often expose the patient to an undesirable amount of radiation. For such reasons, along the most recent years, several studies have been proposed that extrapolate 3D anatomical features from merely 2D exams such as x rays for implant templating in total knee or hip arthroplasties. Method: The presented study shows an adaptation of a deep learning-based convolutional neural network to reconstruct 3D volumes from a mere 2D digitally reconstructed radiograph from one of the most extensive lower limb computed tomography datasets available. This novel approach is based on an encoder-decoder architecture with skip connections and a multidimensional Gaussian filter as data augmentation technique. Results: The results achieved promising values when compared against the ground truth volumes, quantitatively yielding an average of 0.77 AE 0.05 structured similarity index. Conclusions: A novel deep learning-based approach to reconstruct 3D medical image volumes from a single x-ray image was shown in the present study. The network architecture was validated against the original scans presenting SSIM values of 0.77 AE 0.05 and 0.78 AE 0.06, respectively for the knee and the hip crop.

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“…Other image sets may be superior in terms of accurate dosimetry, when measurements are compared to TPS calculation . The various CT reconstructions as a basis for dose calculation are to some degree shown to be equivalent in terms of dosimetric accuracy and anatomical representation . In the current study, we seek to determine whether optimizing and calculating plans based on different CT reconstructions has an impact on plan robustness, in terms of dosimetric deviations due to respiration‐induced target motion during treatment.…”

Section: Introductionmentioning

confidence: 99%

Dose deviations induced by respiratory motion for radiotherapy of lung tumors: Impact of CT reconstruction, plan complexity, and fraction size

Sande

Roa

Hellebust

2020

J Applied Clin Med Phys

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A thorax phantom was used to assess radiotherapy dose deviations induced by respiratory motion of the target volume. Both intensity modulated and static, non-modulated treatment plans were planned on CT scans of the phantom. The plans were optimized using various CT reconstructions, to investigate whether they had an impact on robustness to target motion during delivery. During irradiation, the target was programmed to simulate respiration-induced motion of a lung tumor, using both patient-specific and sinusoidal motion patterns in three dimensions. Dose was measured in the center of the target using an ion chamber. Differences between reference measurements with a stationary target and dynamic measurements were assessed. Possible correlations between plan complexity metrics and measured dose deviations were investigated. The maximum observed motion-induced dose differences were 7.8% and 4.5% for single 2 Gy and 15 Gy fractions, respectively. The measurements performed with the largest target motion amplitude in the superiorinferior direction yielded the largest dosimetric deviations. For 2 Gy fractionation schemes, the summed dose deviation after 33 fractions is likely to be less than 2%.Measured motion-induced dose deviations were significantly larger for one CT reconstruction compared to all the others. Static, non-modulated plans showed superior robustness to target motion during delivery. Moderate correlations between the modulation complexity score applied to VMAT (MCSv) and measured dose deviations were found for 15 Gy SBRT treatment plans. Correlations between other plan complexity metrics and measured dose deviations were not found. K E Y W O R D S complexity, interplay, lung, radiotherapy, SBRT, VMAT

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Comparison of CT images with average intensity projection, free breathing, and mid‐ventilation for dose calculation in lung cancer

Cited by 17 publications

References 26 publications

Dosimetric comparison between three‑ and four‑dimensional computerised tomography radiotherapy for breast cancer

Dosimetric comparison between three‑ and four‑dimensional computerised tomography radiotherapy for breast cancer

Three‐dimensional image volumes from two‐dimensional digitally reconstructed radiographs: A deep learning approach in lower limb CT scans

Dose deviations induced by respiratory motion for radiotherapy of lung tumors: Impact of CT reconstruction, plan complexity, and fraction size

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