Impact of the accuracy of automatic tumour functional volume delineation on radiotherapy treatment planning.

  title={Impact of the accuracy of automatic tumour functional volume delineation on radiotherapy treatment planning.},
  author={Amandine Le Maitre and Mathieu Hatt and Olivier Pradier and Catherine Cheze-le Rest and Dimitris Visvikis},
  journal={Physics in medicine and biology},
  volume={57 17},
Over the past few years several automatic and semi-automatic PET segmentation methods for target volume definition in radiotherapy have been proposed. The objective of this study is to compare different methods in terms of dosimetry. For such a comparison, a gold standard is needed. For this purpose, realistic GATE-simulated PET images were used. Three lung cases and three H&N cases were designed with various shapes, contrasts and heterogeneities. Four different segmentation approaches were… 
Impact of target volume segmentation accuracy and variability on treatment planning for 4D-CT-based non-small cell lung cancer radiotherapy
Analysis of multiple observer target volume segmentations and subsequent intensity-modulated radiotherapy (IMRT) treatment plans defined by those segmentations against a reference standard for lung cancer patients imaged with four-dimensional computed tomography (4D-CT) demonstrated the large-scale impact that targetVolume segmentation uncertainty can play in IMRT treatment planning.
SPEQTACLE: An automated generalized fuzzy C-means algorithm for tumor delineation in PET.
An original clustering-based method called spatial positron emission quantification of tumor-Automatic Lp-norm estimation (SPEQTACLE) based on the fuzzy C-means algorithm with a generalization exploiting a Hilbertian norm to more accurately account for the fuzzy and non-Gaussian distributions of PET images benefitted from the fully automatic estimation of the norm on a case-by-case basis.
A novel phantom technique for evaluating the performance of PET auto-segmentation methods in delineating heterogeneous and irregular lesions
The printed SS phantom technique provides key advantages in the development and evaluation of PET segmentation methods and has a future in the field of radioisotope imaging.
Prognostic Impact of Pretherapeutic FDG-PET in Localized Anal Cancer
Determination of T-MTV by FDG-PET using fixed threshold segmentation is useful for predicting EFS for primary anal SCC and if these data are confirmed in larger studies, FDg-PET could contribute to individualized patient therapies.
Validating PET segmentation of thoracic lesions-is 4D PET necessary?
The use of FDG with various tracer concentrations revealed, according to PETsta images, that the most constant segmentations for motion-corrected PET images (PET4D or PETdeb) were achieved using the GradientSeg method.
Potential of [18F]-Fluoromisonidazole positron-emission tomography for radiotherapy planning in head and neck squamous cell carcinomas
It is confirmed that delayed acquisition at 4 h is most appropriate for FMISO-PET imaging and large discrepancies were found between the three tested methods of volume segmentation.
Aalborg Universitet Validating PET segmentation of thoracic lesions-is 4 D PET necessary ?
Assessing the discrepancies relative to stationary PET segmentations, of widely used semiautomatic PET segmentationmethods on heterogeneous target lesions influenced bymotion during image acquisition revealed that themost constant segmentations formotion-corrected PET images (PET4D or PETdeb) were achieved using theGradientSegmethod.
Defining primary anal cancer tumour volume on FDG–PET – an initial assessment of semi–automated methods
It is possible to define gross AC using SUV–based methods, with the SUV–gradient–based method followed by the T40 method most closely correlating with the current clinical standard.
Toward a standard for the evaluation of PET‐Auto‐Segmentation methods following the recommendations of AAPM task group No. 211: Requirements and implementation
PETASset provides a platform that allows standardizing the evaluation and comparison of different PET‐AS methods on a wide range of PET datasets and examples of agreement limits were provided to show how the software could be used to evaluate a new algorithm against the existing state‐of‐the art.
The use of positron emission tomography/computed tomography imaging in radiation therapy: a phantom study for setting internal target volume of biological target volume
There was no PVE for spheres with ≥ 28-mm diameters, and differences between SUVmax and THmax were reduced by using SCS for AC, which was suitable not to determine gross tumour volume but to determine biological target volume (BTV).


A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET
Results show that FLAB performs better than the other methodologies, particularly for smaller objects, and future developments will concentrate on an extension of FLAB in order to allow the segmentation of separate activity distribution regions within the same functional volume.
PET-guided delineation of radiation therapy treatment volumes: a survey of image segmentation techniques
  • H. Zaidi, I. El Naqa
  • Medicine
    European Journal of Nuclear Medicine and Molecular Imaging
  • 2010
Several image segmentation approaches have been proposed and used in the clinical setting including thresholding, edge detection, region growing, clustering, stochastic models, deformable models, classifiers and several other approaches.
PET functional volume delineation: a robustness and repeatability study
The use of advanced image segmentation algorithms may not only allow high accuracy as previously demonstrated, but also provide a robust and repeatable tool to aid physicians as an initial guess in determining functional volumes in PET.
FDG-PET-CT reduces the interobserver variability in rectal tumor delineation.
Use of anatomical priors in the segmentation of PET lung tumor images
It is demonstrated that the use of the anatomical priors to restrict the PET data to regions of interest consisting only of lung structures is able to improve the accuracy and reliability of the cluster analysis segmentation of lung tumors in PET images.
Reduction of observer variation using matched CT-PET for lung cancer delineation: a three-dimensional analysis.
[Metabolically active volumes automatic delineation methodologies in PET imaging: review and perspectives].
Comparison of different methods for delineation of 18F-FDG PET-positive tissue for target volume definition in radiotherapy of patients with non-Small cell lung cancer.
  • U. Nestle, S. Kremp, C. Kirsch
  • Medicine, Physics
    Journal of nuclear medicine : official publication, Society of Nuclear Medicine
  • 2005
The different techniques of tumor contour definition by (18)F-FDG PET in radiotherapy planning lead to substantially different volumes, especially in patients with inhomogeneous tumors.
A Gaussian mixture model for definition of lung tumor volumes in positron emission tomography.
This work established the applicability of the Gaussian mixture model (GMM) based segmentation on clinical studies and made an initial assessment of the method's precision with respect to tumor volume segmentation.