scholarly journals In Vivo 3-D Dose Verification Using PET/CT Images After Carbon-Ion Radiation Therapy

2021 ◽  
Vol 11 ◽  
Author(s):  
Lining Sun ◽  
Weigang Hu ◽  
Songtao Lai ◽  
Leijun Shi ◽  
Junchao Chen
Keyword(s):  
Effective Dose ◽  
Treatment Planning ◽  
Carbon Ion Radiotherapy ◽  
Planning System ◽  
Treatment Planning System ◽  
Ct Image ◽  
Dose Verification ◽  
Carbon Ion ◽  
Pet Ct

ObjectiveTo investigate the usefulness of positron emission tomography (PET) images obtained after carbon-ion irradiation for dose verification in carbon-ion radiotherapy.Methods and MaterialsAn anthropomorphic head phantom was used in this study. Three cubes with volumes of 1, 4, and 10 ml were contoured as targets in the phantom CT through a treatment planning system. Treatment plans with six prescriptions from 2.5 to 10 Gy (2.5, 3, 5, 6, 8, and 10 Gy effective dose) were designed and delivered by 90° fixed carbon-ion beams, respectively. After irradiation of the phantom, a PET/CT scan was performed to fuse the treatment-planning CT image with the PET/CT image. The relationship between target volume and the standard uptake value (SUV) in PET/CT was evaluated for corresponding plan prescription. The MIM Maestro software was used for the image fusion and data analysis.ResultsSUV in the target had an approximate linear relationship with the effective dose. The same effective dose could generate a roughly equal SUV for different target volumes (p < 0.05).ConclusionsIt is feasible to verify the actual 3-D dose distribution of carbon-ion radiotherapy by the approach in this study.

scholarly journals [OA051] Toward a new treatment planning system accounting for in-vivo proton range verification in proton therapy

2018 ◽  
Vol 52 ◽  
pp. 21
Author(s):  
Liheng Tian ◽  
Georgios Dedes ◽  
Guillaume Landry ◽  
Florian Kamp ◽  
Katharina Niepel ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Proton Therapy ◽  
Planning System ◽  
Treatment Planning System ◽  
New Treatment ◽  
Range Verification

In Vivo Diode Dosimetry for Imrt Treatments Generated by Pinnacle Treatment Planning System

2009 ◽  
Vol 34 (1) ◽  
pp. 26-29 ◽  
Author(s):  
Parham Alaei ◽  
Patrick D. Higgins ◽  
Bruce J. Gerbi
Keyword(s):  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System

FDG-PET/CT imaging for staging and definition of tumor volumes in radiation treatment planning in non-small cell lung cancer

2009 ◽  
Vol 27 (15_suppl) ◽  
pp. 7574-7574 ◽  
Author(s):  
Y. Xu ◽  
S. Ma ◽  
D. Yu ◽  
J. Wang ◽  
L. Zhang ◽  
...  
Keyword(s):  
Treatment Planning ◽  
Fdg Pet ◽  
Radiation Treatment ◽  
Target Volume ◽  
Ct Images ◽  
Planning System ◽  
Treatment Planning System ◽  
Volume Delineation ◽  
Pet Ct ◽  
Fdg Pet Ct

7574 Background: 18F-fluorodeoxyglucose (FDG)-positron emission tomography (PET) /computed tomography (CT) has a potential improvement for staging and radiation treatment (RT) planning of various tumor sites. But from a clinical standpoint, the open questions are essentially the following: to what extent does PET/CT change the target volume? Can PET/CT reduce inter-observer variability in target volume delineation? We analyzed the use of FDG-PET/ CT images for staging and evaluated the impact of FDG- PET/CT on the radiotherapy volume delineation compared with CT in patients with non-small cell lung cancer (NSCLC) candidates for radiotherapy. Intraobserver variation in delineating tumor volumes was also observed. Methods: Twenty-three patients with stage I-III NSCLC were enrolled in this pilot study and were treated with fractionated RT based therapy with or without chemotherapy. FDG-PET/CT scans were acquired within 2 weeks prior to RT. PET and CT data sets were sent to the treatment planning system Pinnacle through compact disc. The CT and PET images were subsequently fused by means of a dedicated radiation treatment planning system. Gross Tumor Volume (GTV) was contoured by four radiation oncologists respectively on CT (CT-GTV) and PET/CT images (PET/CT-GTV). The resulting volumes were analyzed and compared. Results: For the first phase, two radiation oncologists outlined together the contours achieving a final consensus. Based on PET/CT, changes in TNM categories occurred in 8/23 cases (35%). Radiation targeting with fused FDG-PET and CT images resulted in alterations in radiation therapy planning in 12/20 patients (60%) by comparison with CT targeting. The most prominent changes in GTV have been observed in cases with atelectasis. For the second phase was four intraobserver variation in delineating tumor volumes. The mean ratio of largest to smallest CT-based GTV was 2.31 (range 1.01–5.96). The addition of the PET data reduced the mean ratio to 1.46 (range 1.12–2.27). Conclusions: PET/CT fusion images could have a potential impact on both tumor staging and treatment planning. Implementing matched PET/CT reduced observer variation in delineating tumor volumes significantly with respect to CT only. [Table: see text]

14. Radiation Therapy Planning for Skin Cancer: Using 3D Surface Scanning to Localize Tumour

2018 ◽  
Author(s):  
Anna Ilina
Keyword(s):  
Radiation Therapy ◽  
Skin Cancer ◽  
Treatment Planning ◽  
Planning System ◽  
Treatment Planning System ◽  
Ct Image ◽  
Invasive Treatment ◽  
Surface Scanning ◽  
3D Surface ◽  
Surface Scan

  Orthovoltage radiation therapy (ORT) is a non‑invasive treatment often used for patients with skin cancer, which is characterized by shallow tumours visible at the surface of the skin. Currently there is no commercially available treatment planning system for ORT. The first step of treatment planning is localizing the tumour in a computed tomography (CT) scan of the patient. We propose using 3D surface scanning to obtain a coloured and textured image of the patient, from which the tumour can be identified. The contour of the tumour can then be overlaid onto the CT image, for planning delivery of radiation therapy. This process was demonstrated using a male mannequin model, with a red sticker on the nose representing a skin tumour. A coloured and textured image of the face was obtained using a handheld 3D surface scanner [Figure 1]. The surface scan was aligned to a CT image of the mannequin head using a two‑step registration process, with a resulting error of 0.25mm. The tumour could then be easily segmented from the coloured surface scan by following the outline of the lesion. The tumour contour was extended in depth to 1cm, to encompass subdermal cancerous tissue in the treatment volume, and saved with the CT image for treatment planning [Figure 2]. This workflow is the first step to an open-source treatment planning system for ORT, which will allow physicians to deliver more precise treatment using ORT. This project was done in collaboration with the Kingston General Hospital.  

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