RBWH Journal Club 2017

The papers discussed in the 2017 Royal Brisbane & Women’s Hospital Radiation Oncology Medical Physics Group journal club meetings are listed here, for future reference.

Month Papers
1) Harry et al. – Passive tracking of linac clinical flow using radiofrequency identification technology.
2) Aland et al. – Effect of verification imaging on in vivo dosimetry results using Gafchromic EBT3 film.
3) Smith et al. – Radiation therapy staffing model 2014.
4) Yang et al. – Dose rate versus gantry speed test in RapidArc commissioning.
5) Nabankema et al. – Wearable glass beads for in vivo dosimetry of total skin electron irradiation treatments.
1) Au et al. – Validation of the Mobius system for patient-specific quality assurance using introduced intentional errors.
2) Edmund, Nyholm – A review of substitute CT generation for MRI-only radiation therapy.
3) Siegel, McCollough, Orton – Advocating for use of the ALARA principle in the context of medical imaging fails to recognize that the risk is hypothetical and so serves to reinforce patients' fears of radiation.
4) Zhang et al. – Helical tomotherapy to LINAC plan conversion utilizing RayStation Fallback planning.
1) De Kerf et al. – Evaluation of the optimal combinations of modulation factor and pitch for Helical TomoTherapy plans made with TomoEdge using Pareto optimal fronts.
2) Feygelman, Lohr, Orton – The future of MRI in radiation therapy belongs to integrated MRI-linac systems, not the standalone MRI-Sim.
3) Juneja et al. – Quantification of intrafraction prostate motion and its dosimetric effect on VMAT.
4) Liu et al. – Management of independent motion between multiple targets in lung cancer radiation therapy.
1) Nelms et al. – Variation in external beam treatment plan quality: An inter-institutional study of planners and planning systems.
2) Clark, Hurkmans, Kry – The role of dosimetry audit in lung SBRT multi-centre clinical trials.
3) Halperin – Military metaphors and the consequences of the language of cancer.
4) Hussein, Clark, Nisbet – Challenges in calculation of the gamma index in radiotherapy – Towards good practice.
5) Oh et al. – Development of patient-specific phantoms for verification of stereotactic body radiation therapy planning in patients with metallic screw fixation.
1) Arumugam et al. – Dose discrepancy between planning system estimation and measurement in spine stereotactic body radiation therapy: A case report.
2) Caruana, Cunha, Orton – Subjects such as strategic planning, extra-disciplinary communication, and management have become crucial to medical physics clinical practice and should become an integral part of the medical physics curriculum.
3) Eyadeh, Wierzbicki, Diamond – Measurement of skin surface dose distributions in radiation therapy using poly(vinyl alcohol) cryogel dosimeters.
4) Lim et al. – Patterns of practice survey for brachytherapy for cervix cancer in Australia and New Zealand.
5) Miri et al. – Virtual EPID standard phantom audit (VESPA) for remote IMRT and VMAT credentialing.
1) Desphande et al. – Sensitivity evaluation of two commercial dosimeters in detecting Helical TomoTherapy treatment delivery errors.
2) Dube, van de Kamer, Rong – Globalism versus Nationalism in Medical Physics.
3) Feain et al. – Technical Note: The design and function of a horizontal patient rotation system for the purposes of fixed-beam cancer radiotherapy.
4) Middlebrook, Sutherland, Kairn – Optimization of the dosimetric leaf gap for use in planning VMAT treatments of spine SABR cases.
1) Amoush et al. – Dosimetric effect of multileaf collimator leaf width on volumetric modulated arc stereotactic radiotherapy for spine tumors.
2) Cardan, Popple, Fiveash – A priori patient-specific collision avoidance in radiotherapy using consumer grade depth cameras.
3) Sun, Chang, Rong – The more IGRT systems, the merrier?
4) Yuen, McLucas – Investigation of X-ray focal spot alignment using a jig of novel design.
1) Caillet et al. – MLC tracking for lung SABR reduces planning target volumes and dose to organs at risk.
2) Cheung et al. – Characterization of the effect of a new commercial transmission detector on radiation therapy beams.
3) Hernandez et al. – Commissioning of the tongue-and-groove modelling in treatment planning systems: from static fields to VMAT treatments.
4) Wang, Kalra, Orton – Machine learning will transform radiology significantly within the next 5 years.
1) Butson – Characterization of a novel scale maille contralateral breast shield: SMART Armor.
2) Caon – Operational statistics for the APESM journal (2014–2016).
3) Rijken, Colyer – Dose uncertainties associated with a set density override of unknown hip prosthetic composition.
4) Subramanian et al. – Multi-isocentric 4π volumetric-modulated arc therapy approach for head and neck cancer.
1) Bibault et al. – Clinical Outcomes of Several IMRT Techniques for Patients With Head and Neck Cancer: A Propensity Score-Weighted Analysis.
2) Cao, Padgett, Rong – Are in-house diagnostic MR physicists necessary for clinical implementation of MRI guided radiotherapy?
3) Harry et al. – Risk assessment of a new acceptance testing procedure for conventional linear accelerators.
4) Younge et al. – The impact of a high-definition multileaf collimator for spine SBRT.
1) Aland et al. – Film dosimetry using a smart device camera: a feasibility study for point dose measurements.
2) Barber et al. – A survey of modulated radiotherapy use in Australia & New Zealand in 2015.
3) Craft, Howell – Preparation and fabrication of a full-scale, sagittal-sliced, 3D-printed, patient-specific radiotherapy phantom.
4) Fielding, Prisciandaro, Orton – Changes and demands in the higher education sector are increasingly making advanced degree medical physics programs non-viable and the profession will have to develop a new model for delivering such education.
1) Enoto et al. – Photnuclear reactions triggered by lightning discharge.
2) Pisaturo et al. – TransitQA – A new method for transit dosimetry of Tomotherapy patients.
3) Sasaki et al. – Dosimetric impact of translational and rotational setup errors for spine stereotactic body radiotherapy: A phantom study.
4) Valdes et al. – Clinical decision support of radiotherapy treatment planning: A data-driven machine learning strategy for patient-specific dosimetric decision making.