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      Magnetic resonance imaging of uterine fibroids: a preliminary investigation into the usefulness of 3D-rendered images for surgical planning

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          Abstract

          Purpose

          This study aimed to assess the efficacy of 3D surface-rendered (SR) magnetic resonance (MR) images for surgical planning of uterine fibroids.

          Methods

          Ten patients with uterine fibroids underwent 3D volume isotropic turbo spin-echo acquisition (VISTA) sequences in sagittal planes. SR images showing the uterine body, endometrium, and fibroids were extracted from the raw MR data. The preoperative assessment for fertility-preserving fibroid enucleation was independently performed by two gynecologists using 2D sagittal and 3D SR images separately.

          Results

          The required interpretation times [second] for sagittal versus SR images were 19.7 ± 9.5 versus 10.4 ± 5.1 for observer 1 ( p < 0.05) and 47.5 ± 12.3 versus 19.7 ± 9.5 for observer 2 ( p < 0.01). The accuracy rates of the planned surgical procedures from sagittal versus SR images were 50 versus 70% for observer 1 and 70 versus 70% for observer 2. The accuracy rates of the numbers of fibroids to be removed from sagittal versus SR images were 70 versus 80% for observer 1 and 70 versus 80% for observer 2.

          Conclusion

          Compared with sagittal images, SR images could significantly reduce the time required for surgical planning of uterine fibroids without sacrificing the accuracy of the preoperative assessment.

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          Most cited references13

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          Uterine leiomyomata: etiology, symptomatology, and management

          Fertility and Sterility, 36(4), 433-445
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            The Medical Imaging Interaction Toolkit: challenges and advances : 10 years of open-source development.

            The Medical Imaging Interaction Toolkit (MITK) has been available as open-source software for almost 10 years now. In this period the requirements of software systems in the medical image processing domain have become increasingly complex. The aim of this paper is to show how MITK evolved into a software system that is able to cover all steps of a clinical workflow including data retrieval, image analysis, diagnosis, treatment planning, intervention support, and treatment control.
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              Leiomyomas beyond the uterus: unusual locations, rare manifestations.

              Uterine leiomyomas affect 20%-30% of women older than 35 years. Extrauterine leiomyomas are rarer, and they present a greater diagnostic challenge: These histologically benign tumors, which originate from smooth muscle cells, usually arise in the genitourinary tract (in the vulva, ovaries, urethra, and urinary bladder) but may arise in nearly any anatomic site. In addition, unusual growth patterns may be seen, including benign metastasizing leiomyoma, disseminated peritoneal leiomyomatosis, intravenous leiomyomatosis, parasitic leiomyoma, and retroperitoneal growth. In the presence of such a pattern, a synchronous uterine leiomyoma or a previous hysterectomy for removal of a primary uterine tumor may be indicative of the diagnosis. However, some extrauterine leiomyomas may mimic malignancies, and serious diagnostic errors may result. The most useful modalities for detecting extrauterine leiomyomas are ultrasonography, computed tomography, and magnetic resonance (MR) imaging. The superb contrast resolution and multiplanar capabilities of MR imaging make it particularly valuable for characterizing these tumors, which usually show low signal intensity similar to that of smooth muscle on T2-weighted images. The radiologist's recognition of this and other characteristic features may help steer the clinician toward timely, appropriate management and away from unnecessary, potentially harmful treatment.
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                Author and article information

                Contributors
                sayed@fjt.info.gifu-u.ac.jp
                hkato@gifu-u.ac.jp
                zxr@fjt.info.gifu-u.ac.jp
                hara@fjt.info.gifu-u.ac.jp
                fujita@fjt.info.gifu-u.ac.jp
                masa_gif@yahoo.co.jp
                furui@gifu-u.ac.jp
                yanoryu@gifu-u.ac.jp
                nao_v_v_0331@yahoo.co.jp
                mken@gifu-u.ac.jp
                Journal
                Springerplus
                Springerplus
                SpringerPlus
                Springer International Publishing (Cham )
                2193-1801
                28 July 2015
                28 July 2015
                2015
                : 4
                : 384
                Affiliations
                [ ]Division of Regeneration and Advanced Medical Sciences, Department of Intelligent Image Information, Graduate School of Medicine, Gifu University, 1-1 Yanagido, Gifu, 501-1194 Japan
                [ ]Department of Radiology, Gifu University School of Medicine, 1-1 Yanagido, Gifu, 501-1194 Japan
                [ ]Department of Otolaryngology, Gifu University School of Medicine, Gifu, Japan
                Article
                1170
                10.1186/s40064-015-1170-9
                4516148
                26240782
                ab9f1921-0acb-4f68-9b81-eaf45c9141a3
                © Aluwee et al. 2015

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

                History
                : 4 May 2015
                : 20 July 2015
                Categories
                Research
                Custom metadata
                © The Author(s) 2015

                Uncategorized
                uterus,fibroid,magnetic resonance imaging,3d
                Uncategorized
                uterus, fibroid, magnetic resonance imaging, 3d

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