Objective decision-making following a portal film: The results of a pilot study

Denham, J.W.; Dally, Michael; Hunter, K.U.; Wheat, Janelle; Fahey, Paul; Hamilton, C.S.

doi:10.1016/0360-3016(93)90503-n

Cited by 65 publications

(42 citation statements)

References 17 publications

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“…Bei der Analyse wurde zwischen Gesamtpositionierungsfehlern sowie systematischen und statistischen Fehlern unterschieden. Der Gesamtpositionierungsfehler wurde durch Betragsbildung aus den einzelnen Messwerten ermittelt, der systematische Positionierungsfehler wurde aus den Fehlern, die pro Fraktion bei der Positionierung auftraten, durch Mittelwertbildung bestimmt, der statistische Fehler ergab sich aus den gemessenen Standardabweichungen σ [4]. Es wurde ferner versucht, die festgestellten Ergebnisse mit der Statur des jeweiligen Patienten in Zusammenhang zu bringen.…”

Section: Patienten Und Methodeunclassified

Untersuchungen zur Positionierungsgenauigkeit bei Prostatakonformationsbestrahlungen mittels Portal-Imaging

Bakai¹,

Paulsen²,

Plaßwilm³

et al. 2002

Strahlentherapie und Onkologie

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With a small number of portal images it is possible to find out the systematic and random positioning error of a patient. Knowledge of the random error can be used to resize the treatment margin which is clinically relevant since this error differs greatly for different patients (Figure 4). Image analysis with EPID is convenient, yet has some problems. For example, one only gets indirect information on the movement of the ventral rectum wall (Figure 5). The successful operation of positioning devices, although, needs further improvement--especially if one focuses on IMRT.

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Section: Patienten Und Methodeunclassified

Untersuchungen zur Positionierungsgenauigkeit bei Prostatakonformationsbestrahlungen mittels Portal-Imaging

Bakai¹,

Paulsen²,

Plaßwilm³

et al. 2002

Strahlentherapie und Onkologie

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“…It identifies systematic trends by using a 95% confidence interval for different numbers of verification images. 15,22 In simple terms, an ellipse is plotted using raw mismatch data and if the origin of the co-ordinate system is not within the ellipse (95% confidence area), a systematic trend can be diagnosed. Additionally, the online mismatch data was then benchmarked to the offline data, assessing the level of consistency across the two imaging environments.…”

Section: Newcastle Modelmentioning

confidence: 99%

“…The time study data presented in this study illustrates that with the huge volume of image data now being assessed on a daily basis; now more than ever analysis methods have to be highly effective and efficient. It has been previously identified 12,15,24,25 that subjectivity can cause issues with image analysis with human observers having difficulty identifying errors under 5 mm, thus the need for automation and more objectivity 24 is both about accuracy and efficiency. Most vendors now have the capacity to perform automated matches in both the online and offline environments, however there is still a degree of manual matching done by the radiation therapists.…”

Section: Time Studymentioning

confidence: 99%

“…12,13,14,15,16,17,18 These methods include the Amsterdam or Quebec approaches. 16,17 However this has often entailed complex statistical analysis incorporating prior knowledge, and as such cannot be introduced into the daily imaging regime of most departments.…”

Section: Introductionmentioning

confidence: 99%

“…Additionally, the predicted systematic isocentre moves calculated both by the automated decision making model and the manual method were also compared to a previously published statistical decision making model of port film analysis, the Newcastle model. 15,22 The automated decision making model allows presentation of potential systematic trends present in a time zone that the treating radiation therapist has been instructed to analyse. It is based on online image mismatch data and presents a systematic trend automatically.…”

Section: Introductionmentioning

confidence: 99%

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Image and isocentre management in the paperless age: an automated decision making model

et al. 2009

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Purpose: The introduction of sophisticated imaging and image analysis tools into daily radiotherapy has made it feasible to undertake image guided radiation therapy (IGRT) on a daily basis. The aim of this paper is to outline that the introduction of a paperless automated decision making model to assess systematic trends in field placement can enhance the efficiency of a treating radiotherapy team. Methods: Automated custom reports were written using Infomaker (Sybase, Dublin, California, USA) to integrate with the ARIA (Varian, Palo Alto, California, USA) patient information system. This allowed automated systematic trend identification in treatment field set-up. The efficiency and accuracy of an automated approach was then compared to manual field placement analysis and a statistical model (Newcastle model). Results:The automated decision making model has been shown to reduce the amount of time taken to analyse images and systematic trend analysis, when compared to manual methods, significantly (P < 0.001). In addition to the enhanced efficiency there is no trade off in accuracy with the automated decision making model. Discussion: An automated approach to trend analysis allows the treating radiotherapy team to manage field placement in a highly efficient manner, which is paramount in the era of increased image data. A paperless approach to image analysis and field placement trend analysis places the responsibility of accurate field placement on the radiation therapist and represents a vital link in the management of an IGRT protocol. Conclusion: In the era of IGRT with increased imaging data, efficient methods must be found to analyse and manage systematic trends. An automated decision making model represents an increase in efficiency with no trade off in accuracy.

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Implementation and Clinical Use of Portal Imaging

Thomason

1998

Cancer Treatment and Research

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Objective decision-making following a portal film: The results of a pilot study

Cited by 65 publications

References 17 publications

Untersuchungen zur Positionierungsgenauigkeit bei Prostatakonformationsbestrahlungen mittels Portal-Imaging

Untersuchungen zur Positionierungsgenauigkeit bei Prostatakonformationsbestrahlungen mittels Portal-Imaging

Image and isocentre management in the paperless age: an automated decision making model

Implementation and Clinical Use of Portal Imaging

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