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Dive into the research topics where Shalini K Vinod is active.

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Featured researches published by Shalini K Vinod.


Cancer | 2011

Do multidisciplinary team meetings make a difference in the management of lung cancer

Miriam M Boxer; Shalini K Vinod; Jesmin Shafiq; Kirsten J Duggan

There is limited evidence regarding the effectiveness of multidisciplinary team (MDT) meetings in lung cancer. The objective of this study was to compare the patterns of care for patients with newly diagnosed lung cancer who were presented at a lung cancer MDT meeting with the patterns of care for patients who were not presented.


Journal of Medical Imaging and Radiation Oncology | 2010

A review of methods of analysis in contouring studies for radiation oncology

M. Jameson; Lois C Holloway; Philip Vial; Shalini K Vinod; Peter E Metcalfe

Inter‐observer variability in anatomical contouring is the biggest contributor to uncertainty in radiation treatment planning. Contouring studies are frequently performed to investigate the differences between multiple contours on common datasets. There is, however, no widely accepted method for contour comparisons. The purpose of this study is to review the literature on contouring studies in the context of radiation oncology, with particular consideration of the contouring comparison methods they employ. A literature search, not limited by date, was conducted using Medline and Google Scholar with key words: contour, variation, delineation, inter/intra observer, uncertainty and trial dummy‐run. This review includes a description of the contouring processes and contour comparison metrics used. The use of different processes and metrics according to tumour site and other factors were also investigated with limitations described. A total of 69 relevant studies were identified. The most common tumour sites were prostate (26), lung (10), head and neck cancers (8) and breast (7).The most common metric of comparison was volume used 59 times, followed by dimension and shape used 36 times, and centre of volume used 19 times. Of all 69 publications, 67 used a combination of metrics and two used only one metric for comparison. No clear relationships between tumour site or any other factors that may influence the contouring process and the metrics used to compare contours were observed from the literature. Further studies are needed to assess the advantages and disadvantages of each metric in various situations.


Journal of Thoracic Oncology | 2008

Gaps in Optimal Care for Lung Cancer

Shalini K Vinod; Dianne O'Connell; Leonardo Simonella; Geoff Delaney; Michael Boyer; Matthew J. Peters; Danielle Miller; Rajah Supramaniam; Leslie McCawley; Bruce K. Armstrong

Purpose: Lung cancer is the leading cause of cancer death in Australia, but little is known about how Australian patients with this disease are managed. Methods: Lung cancer patients diagnosed from November 1, 2001 to December 31, 2002 were identified through the population-based New South Wales Central Cancer Registry. Information was collected on diagnosis, staging, referrals, and treatment. Cross-tabulations and logistic regression examined factors related to not receiving cancer-specific therapy. Results: There were 2931 potentially eligible patients registered by the Central Cancer Registry and completed questionnaires were obtained for 1812 patients (62%); median age 71 years and 66% men. The pathology was non-small cell in 71%, small cell in 15% and not confirmed in 13% of patients. Eleven percent of patients did not see a lung cancer specialist and 33% received no cancer-specific therapy after initial diagnosis. Treatment utilization rates were 17% for surgery, 39% for radiotherapy, and 30% for chemotherapy. Factors significantly associated with having no cancer-specific therapy included female gender, older age, weight loss, poorer performance status, advanced or unknown disease stage, and consultation with a low patient volume lung cancer specialist or a non-lung cancer specialist. The median survival was 172 days and 2-year crude survival was 17%. Conclusions: Treatment patterns were in broad concordance with present national guidelines. Nevertheless, a significant proportion of lung cancer patients did not receive cancer-specific therapy. Treatment decisions should be multidisciplinary and decision-makers should include experienced lung cancer specialists.


Technology in Cancer Research & Treatment | 2013

The Potential for an Enhanced Role for MRI in Radiation-Therapy Treatment Planning

Peter E Metcalfe; Gary P Liney; Lois C Holloway; Amy Walker; Michael Barton; Geoff Delaney; Shalini K Vinod; Wolfgang A. Tomé

The exquisite soft-tissue contrast of magnetic resonance imaging (MRI) has meant that the technique is having an increasing role in contouring the gross tumor volume (GTV) and organs at risk (OAR) in radiation therapy treatment planning systems (TPS). MRI-planning scans from diagnostic MRI scanners are currently incorporated into the planning process by being registered to CT data. The soft-tissue data from the MRI provides target outline guidance and the CT provides a solid geometric and electron density map for accurate dose calculation on the TPS computer. There is increasing interest in MRI machine placement in radiotherapy clinics as an adjunct to CT simulators. Most vendors now offer 70 cm bores with flat couch inserts and specialised RF coil designs. We would refer to these devices as MR-simulators. There is also research into the future application of MR-simulators independent of CT and as in-room image-guidance devices. It is within the background of this increased interest in the utility of MRI in radiotherapy treatment planning that this paper is couched. The paper outlines publications that deal with standard MRI sequences used in current clinical practice. It then discusses the potential for using processed functional diffusion maps (fDM) derived from diffusion weighted image sequences in tracking tumor activity and tumor recurrence. Next, this paper reviews publications that describe the use of MRI in patient-management applications that may, in turn, be relevant to radiotherapy treatment planning. The review briefly discusses the concepts behind functional techniques such as dynamic contrast enhanced (DCE), diffusion-weighted (DW) MRI sequences and magnetic resonance spectroscopic imaging (MRSI). Significant applications of MR are discussed in terms of the following treatment sites: brain, head and neck, breast, lung, prostate and cervix. While not yet routine, the use of apparent diffusion coefficient (ADC) map analysis indicates an exciting future application for functional MRI. Although DW-MRI has not yet been routinely used in boost adaptive techniques, it is being assessed in cohort studies for sub-volume boosting in prostate tumors.


Radiotherapy and Oncology | 2013

The complex relationship between lung tumor volume and survival in patients with non-small cell lung cancer treated by definitive radiotherapy: A prospective, observational prognostic factor study of the Trans-Tasman Radiation Oncology Group (TROG 99.05)

David Ball; Richard Fisher; Bryan Burmeister; Michael Poulsen; Peter H. Graham; Michael Penniment; Shalini K Vinod; Hedley Krawitz; David Joseph; Greg Wheeler; Bev McClure

BACKGROUND AND PURPOSE To investigate the hypothesis that primary tumor volume is prognostic independent of T and N stages in patients with non-small cell lung cancer (NSCLC) treated by definitive radiotherapy. MATERIALS AND METHODS Multicenter prospective observational study. Patient eligibility: pathologically proven stage I-III non-small cell lung cancer planned for definitive radiotherapy (minimum 50 Gy in 20 fractions) using CT-based contouring. Volumes of the primary tumor and enlarged nodes were measured according to a standardized protocol. Survival was adjusted for the effect of T and N stage. RESULTS There were 509 eligible patients. Five-year survival rates for tumor volume grouped by quartiles were, for increasing tumor volume, 22%, 14%, 15% and 21%. Larger primary tumor volume was associated with shorter survival (HR=1.060 (per doubling); 95% CI 1.01-1.12; P=0.029). However, after adjusting for the effects of T and N stage, there was no evidence for an association (HR=1.029, 95% CI, 0.96-1.10, P=0.39). There was evidence, however, that larger primary tumor volume was associated with an increased risk of dying, independently of T and N stage, in the first 18 months but not beyond. CONCLUSIONS In patients treated by non-surgical means we were unable to show that lung tumor volume, overall, provides additional prognostic information beyond the T and N stage (TNM, 6th edition). There is evidence, however, that larger primary tumor volume adversely affects outcome only within the first 18 months. Larger tumor size alone should not by itself exclude patients from curative (chemo)radiotherapy.


Journal of Thoracic Oncology | 2010

Why Do Some Lung Cancer Patients Receive No Anticancer Treatment

Shalini K Vinod; Mark Sidhom; Gabriel S. Gabriel; Mark Lee; Geoff Delaney

Introduction: A significant proportion of lung cancer patients receive no anticancer treatment. This varies from 19% in USA, 33% in Australia, 37% in Scotland, and 50% in Ireland. The aim of this study was to identify the reasons behind this. Methods: The Lung Cancer Multidisciplinary Meeting (MDM) in South-West Sydney prospectively collects data on all patients presented. All new lung cancer patients presented between December 1, 2005, and December 31, 2007, were reviewed. Patients were assigned optimal treatment based on evidence-based guidelines. Those patients in whom guidelines recommended no treatment (GNT) were compared with those whom the MDM recommended no treatment (MNT) and with those who actually received no treatment (ANT). Results: There were 335 patients with a median age of 69 years. A total of 82% had non-small cell lung cancer, 14% had small cell lung cancer, and 4% had no pathologic diagnosis. Eighty-five percent had locally advanced or metastatic disease. GNT was recommended in 4% (n = 13), MNT in 10% (n = 32) but ANT comprised 20% (n = 66). The differences between GNT and MNT were mainly due to patient comorbidities and clinician decision, but the differences between MNT and ANT were due to patient preference and declining performance status. In multivariate analysis, older age, poorer Eastern Cooperative Oncology Group status, non-small cell lung cancer, and non-English language predicted for ANT. Conclusions: The proportion of patients with lung cancer receiving no treatment is greater than that predicted by guidelines or recommended by the MDM but lower than that described in population-based studies suggesting that MDMs can improve treatment utilization in lung cancer.


Journal of Oncology Practice | 2010

Do multidisciplinary meetings follow guideline-based care?

Shalini K Vinod; Mark Sidhom; Geoff Delaney

PURPOSE Multidisciplinary meetings (MDMs) are increasingly being mandated as essential to oncology practice. However, there is a paucity of data on their effectiveness. The aim of this study was to assess whether MDM recommendations were concordant with guidelines in the treatment of lung cancer. PATIENTS AND METHODS The Lung Cancer Multidisciplinary Meeting in South West Sydney, Australia, prospectively collects data on all patients whose cases have been presented. New patients with lung cancer who presented between December 1, 2005, and December 31, 2007, were reviewed. Patients were assigned to treatment on the basis of evidence-based guidelines according to pathology, stage, and Eastern Cooperative Oncology Group (ECOG) performance status. MDM recommendations were compared with guideline treatment, and reasons for discrepancy were noted. RESULTS There were 335 patients with a median age of 69 years. Of these, 82% had non-small-cell lung cancer (NSCLC), 14% had small-cell lung cancer, and 4% had no pathologic diagnosis. Eighty-four percent had locally advanced or metastatic disease. Concordance of MDM recommendations with guideline treatment existed in 29 (58%) of 50 cases for surgery, 201 (88%) of 228 cases for radiotherapy, and 200 (77%) of 260 cases for chemotherapy. Overall concordance with guideline treatment was 71% (239 of 335 cases). On multivariate analysis, age greater than 70 years, ECOG performance status of 2 or higher, and stage III NSCLC were associated with the MDM not recommending guideline treatment. The primary reasons for this were physician decision (39%), comorbidity (25%), and technical factors (22%). CONCLUSION MDM recommendations were largely concordant with guidelines. Physician discretion in not recommending guideline treatment was most often exercised in older patients and those with borderline performance status. Individual factors that may preclude guideline treatment cannot be accounted for by guidelines.


Radiotherapy and Oncology | 2016

Uncertainties in volume delineation in radiation oncology: A systematic review and recommendations for future studies

Shalini K Vinod; M. Jameson; Myo Min; Lois C Holloway

BACKGROUND AND PURPOSE Volume delineation is a well-recognised potential source of error in radiotherapy. Whilst it is important to quantify the degree of interobserver variability (IOV) in volume delineation, the resulting impact on dosimetry and clinical outcomes is a more relevant endpoint. We performed a literature review of studies evaluating IOV in target volume and organ-at-risk (OAR) delineation in order to analyse these with respect to the metrics used, reporting of dosimetric consequences, and use of statistical tests. METHODS AND MATERIALS Medline and Pubmed databases were queried for relevant articles using keywords. We included studies published in English between 2000 and 2014 with more than two observers. RESULTS 119 studies were identified covering all major tumour sites. CTV (n=47) and GTV (n=38) were most commonly contoured. Median number of participants and data sets were 7 (3-50) and 9 (1-132) respectively. There was considerable heterogeneity in the use of metrics and methods of analysis. Statistical analysis of results was reported in 68% (n=81) and dosimetric consequences in 21% (n=25) of studies. CONCLUSION There is a lack of consistency in conducting and reporting analyses from IOV studies. We suggest a framework to use for future studies evaluating IOV.


Radiotherapy and Oncology | 2011

Diagnostic and staging impact of radiotherapy planning FDG-PET-CT in non-small-cell lung cancer

Peter Lin; Eng-Siew Koh; Michael Lin; Shalini K Vinod; Ivan Ho-Shon; June Yap; Seu Som

BACKGROUND AND PURPOSE To evaluate whether FDG-PET performed for radiotherapy (RT) planning can detect disease progression, compared with staging PET. MATERIALS AND METHODS Twenty-six patients with newly-diagnosed non-small-cell lung cancer underwent planning PET-CT for curative RT within 8 weeks (mean: 33±14days) of staging PET-CT. Progressive disease (PD) was defined as >25% increase in tumour size (transaxial) or volume, as delineated by SUV threshold of 2.5, or new sites (SUV>2.5). RESULTS The planning PET detected PD in 16 patients (61%), compared to four patients (15%) by CT component of PET-CT. The mean scan interval was longer in patients with progression: 40±12days, compared to 22±11days without progression. Planning PET detected PD in 13/17 (76%), 12/14 (86%) and 7/7 patients if the interval was ≥4, 5 and 6 weeks, respectively, compared with 3/9 patients if interval <4 weeks. Planning PET detected PD in primary metabolic volume in seven patients, 20 new nodal sites in 12 new nodal stations and nine patients, five extra-nodal sites in five patients. This resulted in upstaging in nine patients (35%): stage IIIA in three, IIIB in three and IV in three. CONCLUSIONS RT-planning FDG-PET can provide incremental diagnostic information and may impact on staging in a significant number of patients.


Thorax | 2003

Lung cancer patterns of care in south western Sydney, Australia.

Shalini K Vinod; Geoff Delaney; Adrian Bauman; Michael Barton

Background: Lung cancer is the leading cause of cancer deaths in New South Wales (NSW). There is a significantly higher incidence of lung cancer in the South Western Sydney Area Health Service (SWSAHS) than the NSW average. The aim of this study was to document patterns of lung cancer care for SWSAHS residents. Methods: SWSAHS residents diagnosed with lung cancer in 1993 and 1996 were identified from the NSW Central Cancer Registry and their medical records reviewed. Results: The study population comprised 527 patients of median age 68 years. 12% did not see a lung cancer specialist, 9% did not have a pathological diagnosis, and 28% did not receive any active treatment throughout the course of their illness. The median survival was 6.7 months and the 5 year overall survival was 8% (95% CI 6 to 10). The rates of pathological diagnosis, specialist referral, and treatment decreased with older age and poorer performance status. Conclusions: The management of lung cancer patients in SWSAHS is suboptimal. A significant proportion of patients are not receiving treatment. To improve patient care and outcomes, all lung cancer patients should be referred to a specialist for management, ideally in a multidisciplinary setting. Both consumers and general practitioners need to be educated about options available for the management of lung cancers and ageist and nihilistic attitudes need to be overcome.

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Geoff Delaney

University of New South Wales

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Michael Barton

University of New South Wales

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Shivani Kumar

University of New South Wales

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David Ball

Peter MacCallum Cancer Centre

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M. Jameson

University of Wollongong

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Joseph Descallar

University of New South Wales

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G. Delaney

University of New South Wales

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