The use of PET/CT in radiotherapy planning: contribution of deformable registration

Soykut, Ela Delikgöz; Özşahin, Esat Mahmut; Güney, Yıldız; Arslan, Süheyla Aytaç; Or, Özlem Derinalp; Altundag, Muzaffer B.; Uğurluer, Gamze; Tsoutsou, Pelagia G.

doi:10.3389/fonc.2013.00033

Cited by 12 publications

(4 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Some attendees had experience with DIR for PET/CT‐pCT registration (26%). Within that group, there was agreement that in many cases, the uncertainties in DIR were equivalent or not significantly more than using RIR, given the innate uncertainties of using PET images 26–28 . This is disputed in some literature, which indicates it provides minimal value 15,29,30 …”

Section: Resultsmentioning

confidence: 99%

Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy

Barber

Yuen

Jameson

et al. 2020

J of Medical Radiation Sci

View full text Add to dashboard Cite

Image registration is a process that underlies many new techniques in radiation oncologyfrom multimodal imaging and contour propagation in treatment planning to dose accumulation throughout treatment. Deformable image registration (DIR) is a subset of image registration subject to high levels of complexity in process and validation. A need for local guidance to assist in high-quality utilisation and best practice was identified within the Australian community, leading to collaborative activity and workshops. This report communicates the current limitations and best practice advice from early adopters to help guide those implementing DIR in the clinic at this early stage. They are based on the state of image registration applications in radiotherapy in Australia and New Zealand (ANZ), and consensus discussions made at the 'Deforming to Best Practice' workshops in 2018. The current status of clinical application use cases is presented, including multimodal imaging, automatic segmentation, adaptive radiotherapy, retreatment, dose accumulation and response assessment, along with uptake, accuracy and limitations. Key areas of concern and preliminary suggestions for commissioning, quality assurance, education and training, and the use of automation are also reported. Many questions remain, and the radiotherapy community will benefit from continued research in this area. However, DIR is available to clinics and this report is intended to aid departments using or about to use DIR tools now.

show abstract

Section: Resultsmentioning

confidence: 99%

Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy

Barber

Yuen

Jameson

et al. 2020

J of Medical Radiation Sci

View full text Add to dashboard Cite

show abstract

“…The implementation of PET for RT planning is still under investigation in the clinic (103–105) and preclinical research might provide new insights for combining PET with RT. Evidently, PET-based RT planning requires correct registration with the planning CT to obtain accurate treatment planning.…”

Section: Small Animal Pet-guided Radiation Therapymentioning

confidence: 99%

The Path Toward PET-Guided Radiation Therapy for Glioblastoma in Laboratory Animals: A Mini Review

et al. 2019

View full text Add to dashboard Cite

Glioblastoma is the most aggressive and malignant primary brain tumor in adults. Despite the current state-of-the-art treatment, which consists of maximal surgical resection followed by radiation therapy, concomitant, and adjuvant chemotherapy, progression remains rapid due to aggressive tumor characteristics. Several new therapeutic targets have been investigated using chemotherapeutics and targeted molecular drugs, however, the intrinsic resistance to induced cell death of brain cells impede the effectiveness of systemic therapies. Also, the unique immune environment of the central nervous system imposes challenges for immune-based therapeutics. Therefore, it is important to consider other approaches to treat these tumors. There is a well-known dose-response relationship for glioblastoma with increased survival with increasing doses, but this effect seems to cap around 60 Gy, due to increased toxicity to the normal brain. Currently, radiation treatment planning of glioblastoma patients relies on CT and MRI that does not visualize the heterogeneous nature of the tumor, and consequently, a homogenous dose is delivered to the entire tumor. Metabolic imaging, such as positron-emission tomography, allows to visualize the heterogeneous tumor environment. Using these metabolic imaging techniques, an approach called dose painting can be used to deliver a higher dose to the tumor regions with high malignancy and/or radiation resistance. Preclinical studies are required for evaluating the benefits of novel radiation treatment strategies, such as PET-based dose painting. The aim of this review is to give a brief overview of promising PET tracers that can be evaluated in laboratory animals to bridge the gap between PET-based dose painting in glioblastoma patients.

show abstract

“…An accurate estimation of the lung tumour volume from [18F]-fluorodeoxyglucose positron emission tomography-computed tomography (FDG PET-CT) is essential for diagnosis [1], radiotherapy planning [2,3] and therapy response assessment [4,5]. The manual definition of lung tumours on FDG PET-CT images is time consuming and prone to observer variation leading to an inaccurate estimation of the tumour volume [6,7].…”

Section: Introductionmentioning

confidence: 99%

Comparison of SUVmax and SUVpeak based segmentation to determine primary lung tumour volume on FDG PET-CT correlated with pathology data

Mercieca

Belderbos

Loon

et al. 2018

Radiotherapy and Oncology

View full text Add to dashboard Cite

show abstract

The use of PET/CT in radiotherapy planning: contribution of deformable registration

Cited by 12 publications

References 25 publications

Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy

Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy

The Path Toward PET-Guided Radiation Therapy for Glioblastoma in Laboratory Animals: A Mini Review

Comparison of SUVmax and SUVpeak based segmentation to determine primary lung tumour volume on FDG PET-CT correlated with pathology data

Contact Info

Product

Resources

About