Joe H. Chang
University of Melbourne
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Featured researches published by Joe H. Chang.
Acta Oncologica | 2013
Joe H. Chang; M. Wada; N. Anderson; Daryl Lim Joon; Sze Ting Lee; Sylvia Gong; Dishan H. Gunawardana; John Sachinidis; Graeme O’Keefe; Hui K. Gan; Vincent Khoo; Andrew M. Scott
Abstract Background. This study investigates the use of 18F-fluoromisonidazole (FMISO) PET-guided radiotherapy dose painting for potentially overcoming the radioresistant effects of hypoxia in head and neck squamous cell carcinoma (HNSCC). Material and methods. The study cohort consisted of eight patients with HNSCC who were planned for definitive radiotherapy. Hypoxic subvolumes were automatically generated on pre-radiotherapy FMISO PET scans. Three radiotherapy plans were generated for each patient: a standard (STD) radiotherapy plan to a dose of 70 Gy, a uniform dose escalation (UDE) plan to the standard target volumes to a dose of 84 Gy, and a hypoxia dose-painted (HDP) plan with dose escalation only to the hypoxic subvolume to 84 Gy. Plans were compared based on tumor control probability (TCP), normal tissue complication probability (NTCP), and uncomplicated tumor control probability (UTCP). Results. The mean TCP increased from 73% with STD plans to 95% with the use of UDE plans (p < 0.001) and to 93% with HDP plans (p < 0.001). The mean parotid NTCP increased from 26% to 44% with the use of UDE plans (p = 0.003), and the mean mandible NTCP increased from 2% to 27% with the use of UDE plans (p = 0.001). There were no statistically significant differences between any of the NTCPs between the STD plans and HDP plans. The mean UTCP increased from 48% with STD plans to 66% with HDP plans (p = 0.016) and dropped to 37% with UDE plans (p = 0.138). Conclusion. Hypoxia-targeted radiotherapy dose painting for head and neck cancer using FMISO PET is technically feasible, increases the TCP without increasing the NTCP, and increases the UTCP. This approach is superior to uniform dose escalation.
International Journal of Radiation Oncology Biology Physics | 2012
Joe H. Chang; Daryl Lim Joon; Sze Ting Lee; Sylvia Gong; N. Anderson; Andrew M. Scott; Ian D. Davis; David Clouston; Damien Bolton; C.S. Hamilton; Vincent Khoo
PURPOSE To demonstrate the technical feasibility of intensity modulated radiation therapy (IMRT) dose painting using (11)C-choline positron emission tomography PET scans in patients with localized prostate cancer. METHODS AND MATERIALS This was an RT planning study of 8 patients with prostate cancer who had (11)C-choline PET scans prior to radical prostatectomy. Two contours were semiautomatically generated on the basis of the PET scans for each patient: 60% and 70% of the maximum standardized uptake values (SUV(60%) and SUV(70%)). Three IMRT plans were generated for each patient: PLAN(78), which consisted of whole-prostate radiation therapy to 78 Gy; PLAN(78-90), which consisted of whole-prostate RT to 78 Gy, a boost to the SUV(60%) to 84 Gy, and a further boost to the SUV(70%) to 90 Gy; and PLAN(72-90), which consisted of whole-prostate RT to 72 Gy, a boost to the SUV(60%) to 84 Gy, and a further boost to the SUV(70%) to 90 Gy. The feasibility of these plans was judged by their ability to reach prescription doses while adhering to published dose constraints. Tumor control probabilities based on PET scan-defined volumes (TCP(PET)) and on prostatectomy-defined volumes (TCP(path)), and rectal normal tissue complication probabilities (NTCP) were compared between the plans. RESULTS All plans for all patients reached prescription doses while adhering to dose constraints. TCP(PET) values for PLAN(78), PLAN(78-90), and PLAN(72-90) were 65%, 97%, and 96%, respectively. TCP(path) values were 71%, 97%, and 89%, respectively. Both PLAN(78-90) and PLAN(72-90) had significantly higher TCP(PET) (P=.002 and .001) and TCP(path) (P<.001 and .014) values than PLAN(78). PLAN(78-90) and PLAN(72-90) were not significantly different in terms of TCP(PET) or TCP(path). There were no significant differences in rectal NTCPs between the 3 plans. CONCLUSIONS IMRT dose painting for localized prostate cancer using (11)C-choline PET scans is technically feasible. Dose painting results in higher TCPs without higher NTCPs.
Radiotherapy and Oncology | 2011
Joe H. Chang; Daryl Lim Joon; Sze Ting Lee; Sylvia Gong; Andrew M. Scott; Ian D. Davis; David Clouston; Damien Bolton; C.S. Hamilton; Vincent Khoo
BACKGROUND AND PURPOSE To evaluate the accuracy of (11)C-choline PET scans in defining dominant intraprostatic lesions (DILs) for radiotherapy target volume definition. MATERIAL AND METHODS Eight men with prostate cancer who had (11)C-choline PET scans prior to radical prostatectomy were studied. Several methods were used to contour the DIL on the PET scans: visual, PET Edge, Region Grow, absolute standardised uptake value (SUV) thresholds and percentage of maximum SUV thresholds. Prostatectomy specimens were sliced in the transverse plane and DILs were delineated on these by a pathologist. These were then compared with the PET scans. The accuracy of correlation was assessed by the Dice similarity coefficient (DSC) and the Youden index. RESULTS The contouring method resulting in both the highest DSC and the highest Youden index was 60% of the maximum SUV (SUV(60%)), with values of 0.64 and 0.51, respectively. However SUV(60%) was not statistically significantly better than all of the other methods by either measure. CONCLUSIONS Although not statistically significant, SUV(60%) resulted in the best correlation between (11)C-choline PET and pathology amongst all the methods studied. The degree of correlation shown here is consistent with previous studies that have justified using imaging for DIL radiotherapy target volume definition.
Journal of Medical Imaging and Radiation Oncology | 2014
Joe H. Chang; Daryl Lim Joon; B. Nguyen; Chee-Yan Hiew; Stephen Esler; David Angus; Michael Chao; M. Wada; George Quong; Vincent Khoo
Conventional clinical staging for prostate cancer has many limitations. This study evaluates the impact of adding MRI scans to conventional clinical staging for guiding decisions about radiotherapy target coverage.
International Journal of Radiation Oncology Biology Physics | 2015
Joe H. Chang; Daryl Lim Joon; Ian D. Davis; Sze Ting Lee; Chee-Yan Hiew; Stephen Esler; Sylvia Gong; M. Wada; David Clouston; Richard O'Sullivan; Yin P. Goh; Damien Bolton; Andrew M. Scott; Vincent Khoo
PURPOSE The purpose of this study was to compare the accuracy of [(11)C]choline positron emission tomography (CHOL-PET) with that of the combination of T2-weighted and diffusion-weighted (T2W/DW) magnetic resonance imaging (MRI) for delineating malignant intraprostatic lesions (IPLs) for guiding focal therapies and to investigate factors predicting the accuracy of CHOL-PET. METHODS AND MATERIALS This study included 21 patients who underwent CHOL-PET and T2W/DW MRI prior to radical prostatectomy. Two observers manually delineated IPL contours for each scan, and automatic IPL contours were generated on CHOL-PET based on varying proportions of the maximum standardized uptake value (SUV). IPLs identified on prostatectomy specimens defined reference standard contours. The imaging-based contours were compared with the reference standard contours using Dice similarity coefficient (DSC), and sensitivity and specificity values. Factors that could potentially predict the DSC of the best contouring method were analyzed using linear models. RESULTS The best automatic contouring method, 60% of the maximum SUV (SUV60) , had similar correlations (DSC: 0.59) with the manual PET contours (DSC: 0.52, P=.127) and significantly better correlations than the manual MRI contours (DSC: 0.37, P<.001). The sensitivity and specificity values were 72% and 71% for SUV60; 53% and 86% for PET manual contouring; and 28% and 92% for MRI manual contouring. The tumor volume and transition zone pattern could independently predict the accuracy of CHOL-PET. CONCLUSIONS CHOL-PET is superior to the combination of T2W/DW MRI for delineating IPLs. The accuracy of CHOL-PET is insufficient for gland-sparing focal therapies but may be accurate enough for focal boost therapies. The transition zone pattern is a new classification that may predict how well CHOL-PET delineates IPLs.
Physica Medica | 2016
Joe H. Chang; Christopher Gehrke; Suki Gill; M. Wada; Daryl Lim Joon; Vincent Khoo
PURPOSE Radiotherapy plan evaluation is currently performed by assessing physical parameters, which has many limitations. Biological modelling can potentially allow plan evaluation that is more reflective of clinical outcomes, however further research is required into this field before it can be used clinically. METHODS A simple program, RADBIOMOD, has been developed using Visual Basic for Applications (VBA) for Microsoft Excel that incorporates multiple different biological models for radiotherapy plan evaluation, including modified Poisson tumour control probability (TCP), modified Zaider-Minerbo TCP, Lyman-Kutcher-Burman normal tissue complication probability (NTCP), equivalent uniform dose (EUD), EUD-based TCP, EUD-based NTCP, and uncomplicated tumour control probability (UTCP). RADBIOMOD was compared to existing biological modelling calculators for 15 sample cases. RESULTS Comparing RADBIOMOD to the existing biological modelling calculators, all models tested had mean absolute errors and root mean square errors less than 1%. CONCLUSIONS RADBIOMOD produces results that are non-significantly different from existing biological modelling calculators for the models tested. It is hoped that this freely available, user-friendly program will aid future research into biological modelling.
European Radiology | 2014
Joe H. Chang; Daryl Lim Joon; Sze Ting Lee; Chee-Yan Hiew; Stephen Esler; Sylvia Gong; M. Wada; David Clouston; Richard O’Sullivan; Yin P. Goh; Henri Tochon-Danguy; J. Gordon Chan; Damien Bolton; Andrew M. Scott; Vincent Khoo; Ian D. Davis
Radiotherapy and Oncology | 2012
M. Wada; Joe H. Chang; N. Anderson; D. Lim Joon; Sze Ting Lee; Hui K. Gan; V. Khoo; Andrew M. Scott
Archive | 2012
Joe H. Chang; Daryl Lim Joon; Sze Ting Lee; Sylvia Gong; N. Anderson; Andrew M. Scott; Ian D. Davis; David Clouston; Damien Bolton; C.S. Hamilton; Vincent S. Khoo
Radiotherapy and Oncology | 2011
Joe H. Chang; D. Lim Joon; C.S. Hamilton; V. Khoo