Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer

Schaefer, A.; Nestle, Ursula; Kremp, Stephanie; Hellwig, Dirk; Grgic, Aleksandar; Buchholz, Hans Georg; Mischke, W; Gromoll, Christian; Dennert, P.; Plotkin, Michail; Senftleben, Stefan; Thorwarth, Daniela; Tosch, Marco; Wahl, Andrew O.; Wengenmair, H.; Rübe, Christian; Kirsch, Carl-Martin

doi:10.3413/nukmed-0452-11-12

Cited by 27 publications

(5 citation statements)

References 31 publications

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“…The polychoric correlations were obtained with the polycor library [30]. Mokken scaling was performed using the mokken library [31,32]. DIF detection was performed using the lordif library [33,34].…”

Section: Methodsmentioning

confidence: 99%

A proof of principle for using adaptive testing in routine Outcome Monitoring: the efficiency of the Mood and Anxiety Symptoms Questionnaire -Anhedonic Depression CAT

Smits¹,

Zitman

Cuijpers³

et al. 2012

BMC Med Res Methodol

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BackgroundIn Routine Outcome Monitoring (ROM) there is a high demand for short assessments. Computerized Adaptive Testing (CAT) is a promising method for efficient assessment. In this article, the efficiency of a CAT version of the Mood and Anxiety Symptom Questionnaire, - Anhedonic Depression scale (MASQ-AD) for use in ROM was scrutinized in a simulation study.MethodsThe responses of a large sample of patients (N = 3,597) obtained through ROM were used. The psychometric evaluation showed that the items met the requirements for CAT. In the simulations, CATs with several measurement precision requirements were run on the item responses as if they had been collected adaptively.ResultsCATs employing only a small number of items gave results which, both in terms of depression measurement and criterion validity, were only marginally different from the results of a full MASQ-AD assessment.ConclusionsIt was concluded that CAT improved the efficiency of the MASQ-AD questionnaire very much. The strengths and limitations of the application of CAT in ROM are discussed.

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Section: Methodsmentioning

confidence: 99%

A proof of principle for using adaptive testing in routine Outcome Monitoring: the efficiency of the Mood and Anxiety Symptoms Questionnaire -Anhedonic Depression CAT

Smits¹,

Zitman

Cuijpers³

et al. 2012

BMC Med Res Methodol

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show abstract

“…The values of parameters A and B are known to be specific for the PET system applied in combination with the predefined imaging protocol [34]. Therefore, the use of the contrastoriented algorithm requires a system-specific calibration by phantom measurements described in the respective original publications [13,34].…”

Section: I)mentioning

confidence: 99%

Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation

Schaefer

Vermandel

Baillet

et al. 2015

Eur J Nucl Med Mol Imaging

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This study showed that combining different PET segmentation methods by the use of a consensus algorithm offers robustness against the variable performance of individual segmentation methods and this approach would therefore be useful in radiation oncology. It might also be relevant for other scenarios such as the merging of expert recommendations in clinical routine and trials or the multiobserver generation of contours for standardization of automatic contouring.

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“…Because of this, in the current approach I max is determined in the neighborhood of the initial seed, instead of using the whole image as proposed in Christ et al (2013). Parameter values of a and b which are dependent on the PET system and imaging protocol, are derived from calibration according to the multi-centre calibration procedure described in Schaefer et al (2012).…”

Section: (A)b)mentioning

confidence: 99%

Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation

et al. 2015

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PET/CT plays an important role in radiotherapy planning for lung tumors. Several segmentation algorithms have been proposed for PET tumor segmentation. However, most of them do not take into account respiratory motion and are not well validated. The aim of this work was to evaluate a semi-automated contrast-oriented algorithm (COA) for PET tumor segmentation adapted to retrospectively gated (4D) images. The evaluation involved a wide set of 4D-PET/CT acquisitions of dynamic experimental phantoms and lung cancer patients. In addition, segmentation accuracy of 4D-COA was compared with four other state-of-the-art algorithms. In phantom evaluation, the physical properties of the objects defined the gold standard. In clinical evaluation, the ground truth was estimated by the STAPLE (Simultaneous Truth and Performance Level Estimation) consensus of three manual PET contours by experts. Algorithm evaluation with phantoms resulted in: (i) no statistically significant diameter differences for different targets and movements (Δφ = 0.3 ± 1.6 mm); (ii) reproducibility for heterogeneous and irregular targets independent of user initial interaction and (iii) good segmentation agreement for irregular targets compared to manual CT delineation in terms of Dice Similarity Coefficient (DSC = 0.66 ± 0.04), Positive Predictive Value (PPV = 0.81 ± 0.06) and Sensitivity (Sen. = 0.49 ± 0.05). In clinical evaluation, the segmented volume was in reasonable agreement with the consensus volume (difference in volume (%Vol) = 40 ± 30, DSC = 0.71 ± 0.07 and PPV = 0.90 ± 0.13). High accuracy in target tracking position (ΔME) was obtained for experimental and clinical data (ΔME(exp) = 0 ± 3 mm; ΔME(clin) 0.3 ± 1.4 mm). In the comparison with other lung segmentation methods, 4D-COA has shown the highest volume accuracy in both experimental and clinical data. In conclusion, the accuracy in volume delineation, position tracking and its robustness on highly irregular target movements, make this algorithm a useful tool for 4D-PET based volume definition for radiotherapy planning of lung cancer and may help to improve the reproducibility in PET quantification for therapy response assessment and prognosis.

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Multi-centre calibration of an adaptive thresholding method for PET-based delineation of tumour volumes in radiotherapy planning of lung cancer

Abstract: After multi-centre calibration the use of the contrast-oriented algorithm for FDG PET-based delineation of tumour volumes in the different centres using different scanner types and specific imaging protocols is feasible.

Cited by 27 publications

References 31 publications

A proof of principle for using adaptive testing in routine Outcome Monitoring: the efficiency of the Mood and Anxiety Symptoms Questionnaire -Anhedonic Depression CAT

A proof of principle for using adaptive testing in routine Outcome Monitoring: the efficiency of the Mood and Anxiety Symptoms Questionnaire -Anhedonic Depression CAT

Impact of consensus contours from multiple PET segmentation methods on the accuracy of functional volume delineation

Feasibility of a semi-automated contrast-oriented algorithm for tumor segmentation in retrospectively gated PET images: phantom and clinical validation

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