60
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Improving tumour heterogeneity MRI assessment with histograms

      review-article
      1 , *
      British Journal of Cancer
      Nature Publishing Group
      tumours, heterogeneity, histograms, skewness, kurtosis, percentiles, MRI

      Read this article at

          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          By definition, tumours are heterogeneous. They are defined by marked differences in cells, microenvironmental factors (oxygenation levels, pH, VEGF, VPF and TGF- α) metabolism, vasculature, structure and function that in turn translate into heterogeneous drug delivery and therapeutic outcome. Ways to estimate quantitatively tumour heterogeneity can improve drug discovery, treatment planning and therapeutic responses. It is therefore of paramount importance to have reliable and reproducible biomarkers of cancerous lesions' heterogeneity. During the past decade, the number of studies using histogram approaches increased drastically with various magnetic resonance imaging (MRI) techniques (DCE-MRI, DWI, SWI etc.) although information on tumour heterogeneity remains poorly exploited. This fact can be attributed to a poor knowledge of the available metrics and of their specific meaning as well as to the lack of literature references to standardised histogram methods with which surrogate markers of heterogeneity can be compared. This review highlights the current knowledge and critical advances needed to investigate and quantify tumour heterogeneity. The key role of imaging techniques and in particular the key role of MRI for an accurate investigation of tumour heterogeneity is reviewed with a particular emphasis on histogram approaches and derived methods.

          Related collections

          Most cited references31

          • Record: found
          • Abstract: found
          • Article: not found

          Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations.

          On May 3, 2008, a National Cancer Institute (NCI)-sponsored open consensus conference was held in Toronto, Ontario, Canada, during the 2008 International Society for Magnetic Resonance in Medicine Meeting. Approximately 100 experts and stakeholders summarized the current understanding of diffusion-weighted magnetic resonance imaging (DW-MRI) and reached consensus on the use of DW-MRI as a cancer imaging biomarker. DW-MRI should be tested as an imaging biomarker in the context of well-defined clinical trials, by adding DW-MRI to existing NCI-sponsored trials, particularly those with tissue sampling or survival indicators. Where possible, DW-MRI measurements should be compared with histologic indices including cellularity and tissue response. There is a need for tissue equivalent diffusivity phantoms; meanwhile, simple fluid-filled phantoms should be used. Monoexponential assessments of apparent diffusion coefficient values should use two b values (>100 and between 500 and 1000 mm2/sec depending on the application). Free breathing with multiple acquisitions is superior to complex gating techniques. Baseline patient reproducibility studies should be part of study designs. Both region of interest and histogram analysis of apparent diffusion coefficient measurements should be obtained. Standards for measurement, analysis, and display are needed. Annotated data from validation studies (along with outcome measures) should be made publicly available. Magnetic resonance imaging vendors should be engaged in this process. The NCI should establish a task force of experts (physicists, radiologists, and oncologists) to plan, organize technical aspects, and conduct pilot trials. The American College of Radiology Imaging Network infrastructure may be suitable for these purposes. There is an extraordinary opportunity for DW-MRI to evolve into a clinically valuable imaging tool, potentially important for drug development.
            • Record: found
            • Abstract: found
            • Article: not found

            Head and neck squamous cell carcinoma: diagnostic performance of diffusion-weighted MR imaging for the prediction of treatment response.

            To determine the diagnostic performance of diffusion-weighted (DW) imaging for the prediction of treatment failure in primary head and neck squamous cell carcinoma (HNSCC). The study was approved by the local institutional ethics committee and conducted with informed written consent in patients with primary HNSCC treated with radiation therapy and chemotherapy. DW imaging of the primary tumor was performed before treatment in 37 patients and was repeated within 2 weeks of treatment in 30 patients. Histograms of apparent diffusion coefficients (ADCs) were analyzed, and mean ADC, kurtosis, skewness, and their respective percentage change were correlated for local failure and local control at 2 years by using the Student t test. Univariate and multivariate analyses of the ADC parameters, T stage, and tumor volume were performed by using logistic regression for prediction of local failure. Local failure occurred in 16 of 37 (43%) patients and local control occurred in 21 of 37 (57%) patients. Pretreatment ADC parameters showed no correlation with local failure. There was significant intratreatment increase in mean ADC and a decrease in skewness and kurtosis (P < .001, P < .001, P = .024, respectively) for the whole group of patients when compared with those before treatment. During treatment, primary tumors showed a significantly lower increase in percentage change of mean ADC, higher skewness, and higher kurtosis for local failure than for local control (P = .016, .015, and .040, respectively). These ADC parameters also were significant for predicting local failure with use of univariate but not multivariate analysis. Early intratreatment DW imaging has the potential to allow prediction of treatment response at the primary site in patients with HNSCC.
              • Record: found
              • Abstract: found
              • Article: not found

              Metastatic ovarian and primary peritoneal cancer: assessing chemotherapy response with diffusion-weighted MR imaging--value of histogram analysis of apparent diffusion coefficients.

              To prospectively evaluate apparent diffusion coefficient (ADC) histograms in the prediction of chemotherapy response in patients with metastatic ovarian or primary peritoneal cancer. Research ethics committee approval and patient written informed consent were obtained. Diffusion-weighted (DW) magnetic resonance (MR) imaging was performed through the abdomen and pelvis before and after one and three cycles of chemotherapy in 42 women (mean age, 63.0 years ± 11.4 [standard deviation]) with newly diagnosed or recurrent disease. Reproducibility and intra- and interobserver agreement of ADC calculations were assessed. Per-patient weighted ADC histograms were generated at each time point from pixel ADCs from five or fewer target lesions. Mean ADC, percentiles (10th, 25th, 50th, 75th, 90th), skew, kurtosis, and their change were analyzed according to histologic grade, primary versus recurrent disease status, and response, determined with integrated biochemical and morphologic criteria, with a linear mixed model. Areas under receiver operating characteristic curve (AUCs) for combinations of parameters were calculated with linear discriminant analysis. Coefficients of variation for repeat measurements and for within and between observers were 4.8%, 11.4%, and 13.7%, respectively. Grade and disease status did not significantly affect histogram parameters. Pretreatment ADCs were not predictive of response. In responders, all ADCs increased after the first and third cycle (P < .001), while skew and kurtosis decreased after the third (P < .001 and P = .006, respectively); however, in nonresponders, no parameter changed significantly. Percentage change of the 25th percentile performed best in identifying response (AUC = 0.82 and 0.83 after first and third cycle, respectively), whereas combination of parameters did not improve accuracy. An early increase of ADCs and later decrease of skew and kurtosis characterize chemotherapy response. Quantitative DW MR imaging can aid in early monitoring of treatment efficacy in patients with advanced ovarian cancer. © RSNA, 2011.

                Author and article information

                Journal
                Br J Cancer
                Br. J. Cancer
                British Journal of Cancer
                Nature Publishing Group
                0007-0920
                1532-1827
                09 December 2014
                30 September 2014
                9 December 2014
                : 111
                : 12
                : 2205-2213
                Affiliations
                [1 ]Centre d'Imagerie Biomédicale (CIBM) Animal Imaging and Technology Core, Ecole Polytechnique Fédérale de Lausanne , Lausanne, Switzerland
                Author notes
                Article
                bjc2014512
                10.1038/bjc.2014.512
                4264439
                25268373
                6c31516b-bf43-455e-b179-d1facb4576d7
                Copyright © 2014 Cancer Research UK

                This work is licensed under the Creative Commons Attribution-NonCommercial-Share Alike 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/3.0/

                History
                : 31 March 2014
                : 04 August 2014
                : 06 August 2014
                Categories
                Minireview

                Oncology & Radiotherapy
                tumours,heterogeneity,histograms,skewness,kurtosis,percentiles,mri
                Oncology & Radiotherapy
                tumours, heterogeneity, histograms, skewness, kurtosis, percentiles, mri

                Comments

                Comment on this article

                Related Documents Log