8
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Impact of intraoperative magnetic resonance imaging on gross total resection, extent of resection, and residual tumor volume in pituitary surgery: systematic review and meta-analysis

      review-article

      Read this article at

      Bookmark
          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

          Background

          Residual tumor tissue after pituitary adenoma surgery, is linked with additional morbidity and mortality. Intraoperative magnetic resonance imaging (ioMRI) could improve resection. We aim to assess the improvement in gross total resection (GTR), extent of resection (EOR), and residual tumor volume (RV) achieved using ioMRI.

          Methods

          A systematic review was carried out on PubMed/MEDLINE to identify any studies reporting intra- and postoperative (1) GTR, (2) EOR, or (3) RV in patients who underwent resection of pituitary adenomas with ioMRI. Random effects meta-analysis of the rate of improvement after ioMRI for these three surgical outcomes was intended.

          Results

          Among 34 included studies (2130 patients), the proportion of patients with conversion to GTR (∆GTR) after ioMRI was 0.19 (95% CI 0.15–0.23). Mean ∆EOR was + 9.07% after ioMRI. Mean ∆RV was 0.784 cm 3. For endoscopically treated patients, ∆GTR was 0.17 (95% CI 0.09–0.25), while microscopic ∆GTR was 0.19 (95% CI 0.15–0.23). Low-field ioMRI studies demonstrated a ∆GTR of 0.19 (95% CI 0.11–0.28), while high-field and ultra-high-field ioMRI demonstrated a ∆GTR of 0.19 (95% CI 0.15–0.24) and 0.20 (95% CI 0.13–0.28), respectively.

          Conclusions

          Our meta-analysis demonstrates that around one fifth of patients undergoing pituitary adenoma resection convert from non-GTR to GTR after the use of ioMRI. EOR and RV can also be improved to a certain extent using ioMRI. Endoscopic versus microscopic technique or field strength does not appear to alter the impact of ioMRI. Statistical heterogeneity was high, indicating that the improvement in surgical results due to ioMRI varies considerably by center.

          Supplementary Information

          The online version contains supplementary material available at 10.1007/s11102-021-01147-2.

          Related collections

          Most cited references57

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

          Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement

          David Moher and colleagues introduce PRISMA, an update of the QUOROM guidelines for reporting systematic reviews and meta-analyses
            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Meta-analysis in clinical trials

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

              A basic introduction to fixed-effect and random-effects models for meta-analysis.

              There are two popular statistical models for meta-analysis, the fixed-effect model and the random-effects model. The fact that these two models employ similar sets of formulas to compute statistics, and sometimes yield similar estimates for the various parameters, may lead people to believe that the models are interchangeable. In fact, though, the models represent fundamentally different assumptions about the data. The selection of the appropriate model is important to ensure that the various statistics are estimated correctly. Additionally, and more fundamentally, the model serves to place the analysis in context. It provides a framework for the goals of the analysis as well as for the interpretation of the statistics. In this paper we explain the key assumptions of each model, and then outline the differences between the models. We conclude with a discussion of factors to consider when choosing between the two models. Copyright © 2010 John Wiley & Sons, Ltd. Copyright © 2010 John Wiley & Sons, Ltd.
                Bookmark

                Author and article information

                Contributors
                c.serra@hotmail.it
                Journal
                Pituitary
                Pituitary
                Pituitary
                Springer US (New York )
                1386-341X
                1573-7403
                4 May 2021
                4 May 2021
                2021
                : 24
                : 4
                : 644-656
                Affiliations
                GRID grid.412004.3, ISNI 0000 0004 0478 9977, Machine Intelligence in Clinical Neuroscience (MICN) Laboratory, Department of Neurosurgery, Clinical Neuroscience Center, , University Hospital Zurich, University of Zurich, ; Frauenklinikstrasse 10, 8091 Zurich, Switzerland
                Author information
                http://orcid.org/0000-0002-7305-550X
                Article
                1147
                10.1007/s11102-021-01147-2
                8270798
                33945115
                1c3c6727-c96b-46ce-b4d1-c7d854802f8c
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 15 April 2021
                Funding
                Funded by: Universität Zürich
                Categories
                Article
                Custom metadata
                © Springer Science+Business Media, LLC, part of Springer Nature 2021

                Medicine
                pituitary,adenoma,intraoperative magnetic resonance imaging,imaging,extent of resection,gross total resection

                Comments

                Comment on this article