Literature DB >> 18250016

Cancer imaging: is it cost-effective?

K A Miles1.   

Abstract

With expenditure on imaging patients with cancer set to increase in line with rising cancer prevalence, there is a need to demonstrate the cost-effectiveness of advanced cancer imaging techniques. Cost-effectiveness studies aim to quantify the cost of providing a service relative to the amount of desirable outcome gained, such as improvements in patient survival. Yet, the impact of imaging on the survival of patients with cancer is small compared to the impact of treatment and is therefore hard to measure directly. Hence, techniques such as decision-tree analysis, that model the impact of imaging on survival, are increasingly used for cost-effectiveness evaluations. Using such techniques, imaging strategies that utilise computed tomography, magnetic resonance imaging and positron emission tomography have been shown to be more cost-effective than non-imaging approaches for the management of certain cancers including lung, prostate and lymphoma. There is stronger evidence to support the cost-effectiveness of advanced cancer imaging for diagnosis, staging and monitoring therapy than for screening. The results of cost-effectiveness evaluations are not directly transferable between countries or tumour types and hence more studies are needed. As many of the techniques developed to assess the evidence base for therapeutic modalities are not readily applicable to diagnostic tests, cancer imaging specialists need to define the methods for health technology assessment that are most appropriate to their speciality.

Entities:  

Year:  2004        PMID: 18250016      PMCID: PMC1434591          DOI: 10.1102/1470-7330.2004.0017

Source DB:  PubMed          Journal:  Cancer Imaging        ISSN: 1470-7330            Impact factor:   3.909


  20 in total

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2.  Solitary pulmonary nodules: impact of quantitative contrast-enhanced CT on the cost-effectiveness of FDG-PET.

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Authors:  A Clegg; D A Scott; P Hewitson; M Sidhu; N Waugh
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4.  How cost-effective is breast cancer screening in different EC countries?

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Review 5.  Measuring the effects of imaging: an evaluative framework.

Authors:  R Mackenzie; A K Dixon
Journal:  Clin Radiol       Date:  1995-08       Impact factor: 2.350

6.  Prostate cancer staging: should MR imaging be used?--A decision analytic approach.

Authors:  G J Jager; J L Severens; J R Thornbury; J J de La Rosette; S H Ruijs; J O Barentsz
Journal:  Radiology       Date:  2000-05       Impact factor: 11.105

7.  Pancreatic cancer: cost-effectiveness of imaging technologies for assessing resectability.

Authors:  P M McMahon; E F Halpern; C Fernandez-del Castillo; J W Clark; G S Gazelle
Journal:  Radiology       Date:  2001-10       Impact factor: 11.105

8.  Decision-tree sensitivity analysis for cost-effectiveness of chest 2-fluoro-2-D-[(18)F]fluorodeoxyglucose positron emission tomography in patients with pulmonary nodules (non-small cell lung carcinoma) in Japan.

Authors:  S Kosuda; K Ichihara; M Watanabe; H Kobayashi; S Kusano
Journal:  Chest       Date:  2000-02       Impact factor: 9.410

9.  Cost-effectiveness of extending screening mammography guidelines to include women 40 to 49 years of age.

Authors:  P Salzmann; K Kerlikowske; K Phillips
Journal:  Ann Intern Med       Date:  1997-12-01       Impact factor: 25.391

10.  Application of positron emission tomography imaging to cancer screening.

Authors:  S Yasuda; M Ide; H Fujii; T Nakahara; Y Mochizuki; W Takahashi; A Shohtsu
Journal:  Br J Cancer       Date:  2000-12       Impact factor: 7.640

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Review 2.  Can imaging help improve the survival of cancer patients?

Authors:  K Miles
Journal:  Cancer Imaging       Date:  2011-10-03       Impact factor: 3.909

Review 3.  Incorporating prognostic imaging biomarkers into clinical practice.

Authors:  W Phillip Law; Kenneth A Miles
Journal:  Cancer Imaging       Date:  2013-09-23       Impact factor: 3.909

4.  Quantifying Potential Cost-Savings Through an Alternative Imaging-Based Diagnostic Process in Presumptive Seronegative Rheumatoid Arthritis.

Authors:  Pedro Santos-Moreno; Nelson J Alvis-Zakzuk; Edwin Castillo; Laura Villarreal; Carlos Pineda; Hugo Sandoval; Omaira Valencia
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  4 in total

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