Relevant bibliographies by topics / Target delineation variability

Academic literature on the topic 'Target delineation variability'

Author: Grafiati
Published: 10 December 2022
Last updated: 29 January 2023

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Journal articles on the topic "Target delineation variability"

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Kriwanek, Florian, Leo Ulbrich, Wolfgang Lechner, Carola Lütgendorf-Caucig, Stefan Konrad, Cora Waldstein, Harald Herrmann, et al. "Impact of SSTR PET on Inter-Observer Variability of Target Delineation of Meningioma and the Possibility of Using Threshold-Based Segmentations in Radiation Oncology." Cancers 14, no. 18 (September 13, 2022): 4435. http://dx.doi.org/10.3390/cancers14184435.

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Aim: The aim of this study was to assess the effects of including somatostatin receptor agonist (SSTR) PET imaging in meningioma radiotherapy planning by means of changes in inter-observer variability (IOV). Further, the possibility of using threshold-based delineation approaches for semiautomatic tumor volume definition was assessed. Patients and Methods: Sixteen patients with meningioma undergoing fractionated radiotherapy were delineated by five radiation oncologists. IOV was calculated by comparing each delineation to a consensus delineation, based on the simultaneous truth and performance level estimation (STAPLE) algorithm. The consensus delineation was used to adapt a threshold-based delineation, based on a maximization of the mean Dice coefficient. To test the threshold-based approach, seven patients with SSTR-positive meningioma were additionally evaluated as a validation group. Results: The average Dice coefficients for delineations based on MRI alone was 0.84 ± 0.12. For delineation based on MRI + PET, a significantly higher dice coefficient of 0.87 ± 0.08 was found (p < 0.001). The Hausdorff distance decreased from 10.96 ± 11.98 mm to 8.83 ± 12.21 mm (p < 0.001) when adding PET for the lesion delineation. The best threshold value for a threshold-based delineation was found to be 14.0% of the SUVmax, with an average Dice coefficient of 0.50 ± 0.19 compared to the consensus delineation. In the validation cohort, a Dice coefficient of 0.56 ± 0.29 and a Hausdorff coefficient of 27.15 ± 21.54 mm were found for the threshold-based approach. Conclusions: SSTR-PET added to standard imaging with CT and MRI reduces the IOV in radiotherapy planning for patients with meningioma. When using a threshold-based approach for PET-based delineation of meningioma, a relatively low threshold of 14.0% of the SUVmax was found to provide the best agreement with a consensus delineation.
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Gkika, E., S. Tanadini-Lang, S. Kirste, P. A. Holzner, H. P. Neeff, H. C. Rischke, T. Reese, et al. "Interobserver variability in target volume delineation of hepatocellular carcinoma." Strahlentherapie und Onkologie 193, no. 10 (July 10, 2017): 823–30. http://dx.doi.org/10.1007/s00066-017-1177-y.

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Segedin, Barbara, and Primoz Petric. "Uncertainties in target volume delineation in radiotherapy – are they relevant and what can we do about them?" Radiology and Oncology 50, no. 3 (September 1, 2016): 254–62. http://dx.doi.org/10.1515/raon-2016-0023.

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Abstract Background Modern radiotherapy techniques enable delivery of high doses to the target volume without escalating dose to organs at risk, offering the possibility of better local control while preserving good quality of life. Uncertainties in target volume delineation have been demonstrated for most tumour sites, and various studies indicate that inconsistencies in target volume delineation may be larger than errors in all other steps of the treatment planning and delivery process. The aim of this paper is to summarize the degree of delineation uncertainties for different tumour sites reported in the literature and review the effect of strategies to minimize them. Conclusions Our review confirmed that interobserver variability in target volume contouring represents the largest uncertainty in the process for most tumour sites, potentially resulting in a systematic error in dose delivery, which could influence local control in individual patients. For most tumour sites the optimal combination of imaging modalities for target delineation still needs to be determined. Strict use of delineation guidelines and protocols is advisable both in every day clinical practice and in clinical studies to diminish interobserver variability. Continuing medical education of radiation oncologists cannot be overemphasized, intensive formal training on interpretation of sectional imaging should be included in the program for radiation oncology residents.
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Onal, C., O. C. Guler, Y. Dolek, and M. Cengiz. "The Role of Delineation Courses for Improving Observer Variability in Target Delineation for Gastric Cancer." International Journal of Radiation Oncology*Biology*Physics 93, no. 3 (November 2015): E170. http://dx.doi.org/10.1016/j.ijrobp.2015.07.985.

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Hurkmans, Coen W., Jacques H. Borger, Bradley R. Pieters, Nicola S. Russell, Edwin P. M. Jansen, and Ben J. Mijnheer. "Variability in target volume delineation on CT scans of the breast." International Journal of Radiation Oncology*Biology*Physics 50, no. 5 (August 2001): 1366–72. http://dx.doi.org/10.1016/s0360-3016(01)01635-2.

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Gkika, E., S. Tandini-Lang, S. Kirste, P. Holzner, H. P. Neeff, H. C. Rischke, T. Reese, et al. "EP-1253: Interobserver variability in the target delineation of hepatocellular carcinoma." Radiotherapy and Oncology 123 (May 2017): S674. http://dx.doi.org/10.1016/s0167-8140(17)31688-2.

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Genovesi, D., G. Ausili Cèfaro, M. Trignani, A. Vinciguerra, A. Augurio, M. Di Tommaso, F. Perrotti, et al. "Interobserver variability of clinical target volume delineation in soft-tissue sarcomas." Cancer/Radiothérapie 18, no. 2 (March 2014): 89–96. http://dx.doi.org/10.1016/j.canrad.2013.11.011.

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Onal, Cem, Mustafa Cengiz, Ozan C. Guler, Yemliha Dolek, and Serdar Ozkok. "The role of delineation education programs for improving interobserver variability in target volume delineation in gastric cancer." British Journal of Radiology 90, no. 1073 (May 2017): 20160826. http://dx.doi.org/10.1259/bjr.20160826.

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Eminowicz, Gemma, and Mary McCormack. "Variability of clinical target volume delineation for definitive radiotherapy in cervix cancer." Radiotherapy and Oncology 117, no. 3 (December 2015): 542–47. http://dx.doi.org/10.1016/j.radonc.2015.10.007.

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van der Veen, Julie, Akos Gulyban, and Sandra Nuyts. "Interobserver variability in delineation of target volumes in head and neck cancer." Radiotherapy and Oncology 137 (August 2019): 9–15. http://dx.doi.org/10.1016/j.radonc.2019.04.006.

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Dissertations / Theses on the topic "Target delineation variability"

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Sandström, Helena. "Variability in target delineation instereotactic radiosurgery withLeksell Gamma Knife® Perfexion™ and a perspective on radiobiological outcome: A multiobserver study." Thesis, Stockholms universitet, Medicinsk strålningsfysik (tills m KI), 2011. http://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-100429.

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Conference papers on the topic "Target delineation variability"

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Bate, Kevin, Mauricio Lane, Alexey Moiseenkov, and Sergey Nadezhdin. "Geological Model Coupled with Geomechanics Makes an Impact on Fracturing Stimulation and Field Development Strategy of a Tight Gas Formation in the Sultanate of Oman." In SPE Middle East Unconventional Resources Conference and Exhibition. SPE, 2015. http://dx.doi.org/10.2118/spe-172949-ms.

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Abstract Appraisal drilling of a recently discovered Cambrian-aged gas field in Oman is indicating that the field may have significant amounts of gas locked in a challenging deep, hot, and highly pressured reservoir environment. The low porosity and permeability values of the Amin reservoir allow the classification of the reservoir as a tight gas sand. The variability of reservoir properties, both spatially and vertically, makes it difficult to standardize perforation and fracture stimulation design which, in turn, complicates delineation of a development plan for the project. One of the difficulties relates to uncertainty in vertical propagation of hydraulic fractures. Fracture height based on evaluation of radioactive tracer logs indicates that vertical barriers to fracture propagation may relate to specific geologic zones in the reservoir. The mapping of the reservoir zones into undeveloped areas of the field would allow selection of primary and secondary production targets based on the specific physical properties of the individual zones. To assume that no barrier to fracture propagation exists between separate production units may lead to attempts to stimulate them synchronously, which would be disadvantageous for several reasons, such as premature screenouts and incomplete coverage of gas-bearing layers. Reserves booking and allocation can also be jeopardized should the fractures propagate into undesired zones.
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