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      Improved virtual surgical planning with 3D- multimodality image for malignant giant pelvic tumors

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          We sought to assess the early clinical outcome of 3D-multimodality image (3DMMI)-based virtual surgical planning for resection and reconstruction of malignant giant pelvic tumors.

          Patients and methods

          In this retrospective case-control study, surgery was planned and performed with 3DMMI-based patient-specific instruments (PSI) in 13 patients with giant pelvic malignancy and without 3DMMI-based PSI in the other 13 patients. In the 3DMMI group, 3DMMI was utilized, taking advantages of computed tomography (CT), contrast-enhanced CT angiography (CTA), contrast-enhanced magnetic resonance imaging (MRI), contrast-enhanced magnetic resonance neurography (MRN), which could reveal the whole tumor and all adjacent vital structures. Based on these 3DMMI, virtual surgical planning was conducted and the corresponding PSI was then designed. The median follow-up was 8 (3–24) months. The median age at operation was 37.5 (17–64) years. The mean tumor size in maximum diameter was 13.3 cm. Surgical margins, intraoperative and postoperative complications, duration of surgery, and intra-operative blood loss were analyzed.


          In the non-3DMMI group, the margins were wide in six patients (6/13), marginal in four (4/13), wide-contaminated in two (2/13), and intralesional in one (1/13). In the 3DMMI group, the margins were wide in 10 patients (10/13), marginal in three (3/13), and there were no wide-contaminated or intralesional margins. The 3DMMI group achieved shorter duration of surgery ( P=0.354) and lower intraoperative blood loss ( P=0.044) than the non-3DMMI group. Conclusion: The 3DMMI-based technique is advantageous to obtain negative surgical margin and decrease surgical complications related to critical structures injury for malignant giant pelvic tumor.

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          Most cited references 34

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          Evaluation of 14 nonlinear deformation algorithms applied to human brain MRI registration.

          All fields of neuroscience that employ brain imaging need to communicate their results with reference to anatomical regions. In particular, comparative morphometry and group analysis of functional and physiological data require coregistration of brains to establish correspondences across brain structures. It is well established that linear registration of one brain to another is inadequate for aligning brain structures, so numerous algorithms have emerged to nonlinearly register brains to one another. This study is the largest evaluation of nonlinear deformation algorithms applied to brain image registration ever conducted. Fourteen algorithms from laboratories around the world are evaluated using 8 different error measures. More than 45,000 registrations between 80 manually labeled brains were performed by algorithms including: AIR, ANIMAL, ART, Diffeomorphic Demons, FNIRT, IRTK, JRD-fluid, ROMEO, SICLE, SyN, and four different SPM5 algorithms ("SPM2-type" and regular Normalization, Unified Segmentation, and the DARTEL Toolbox). All of these registrations were preceded by linear registration between the same image pairs using FLIRT. One of the most significant findings of this study is that the relative performances of the registration methods under comparison appear to be little affected by the choice of subject population, labeling protocol, and type of overlap measure. This is important because it suggests that the findings are generalizable to new subject populations that are labeled or evaluated using different labeling protocols. Furthermore, we ranked the 14 methods according to three completely independent analyses (permutation tests, one-way ANOVA tests, and indifference-zone ranking) and derived three almost identical top rankings of the methods. ART, SyN, IRTK, and SPM's DARTEL Toolbox gave the best results according to overlap and distance measures, with ART and SyN delivering the most consistently high accuracy across subjects and label sets. Updates will be published on the website.
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            Resection and reconstruction for primary neoplasms involving the innominate bone.

            Using described criteria for the selection of patients for excision or resection of tumors involving various portions of the innominate bone, as opposed to hemipelvectomy, fifty-seven out of the more than 200 patients evaluated were judged to be candidates for a curative procedure. Of these, twenty-five were selected for hemipelvectomy and thirty-two, for non-amputative procedures. Depending on the location and extent of the lesion as determined by complete preoperative work-ups, three types of procedures were performed singly or in combination:(1) wide excision or radical resection of the iliac wing; (2) periacetabular wide excision or radical resection; or (3) wide excision or radical resection of the pubis. Reconstruction was accomplished when the hip joint was excised by fusion or the creation of a pseudarthrosis either medially in relation to the pubis or laterally in relation to the ilium or wing of the sacrum. The results after follow-ups of one to seventeen years were assessed in terms of the immediate goals of surgery, control of the disease, and function. The findings were as follows: With the preoperative assessment and operative techniques described, an oncologically adequate procedure was performed in two-thirds of the cases. In the remaining cases, the adequacy of the procedure was compromised by poorly planned biopsies, occult microextensions, and surgical errors. The recurrence rate was high after the inadequate procedure (100 per cent) and low (4 per cent) after the adequately accomplished procedures. Function was nearly normal when the hip joint was preserved. If the hip joint was removed and fusion was obtained, the results were good, but fusion was obtained in only 50 percent of the cases in which it was attempted. If the hip joint was removed and pseudarthrosis resulted, the results ranged from good to poor. Sciatic-nerve involvement necessitating resection of the nerve was not a contraindication to a non-amputative procedure.
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              Evaluation of registration methods on thoracic CT: the EMPIRE10 challenge.

              EMPIRE10 (Evaluation of Methods for Pulmonary Image REgistration 2010) is a public platform for fair and meaningful comparison of registration algorithms which are applied to a database of intrapatient thoracic CT image pairs. Evaluation of nonrigid registration techniques is a nontrivial task. This is compounded by the fact that researchers typically test only on their own data, which varies widely. For this reason, reliable assessment and comparison of different registration algorithms has been virtually impossible in the past. In this work we present the results of the launch phase of EMPIRE10, which comprised the comprehensive evaluation and comparison of 20 individual algorithms from leading academic and industrial research groups. All algorithms are applied to the same set of 30 thoracic CT pairs. Algorithm settings and parameters are chosen by researchers expert in the configuration of their own method and the evaluation is independent, using the same criteria for all participants. All results are published on the EMPIRE10 website ( The challenge remains ongoing and open to new participants. Full results from 24 algorithms have been published at the time of writing. This paper details the organization of the challenge, the data and evaluation methods and the outcome of the initial launch with 20 algorithms. The gain in knowledge and future work are discussed.

                Author and article information

                Cancer Manag Res
                Cancer Manag Res
                Cancer Management and Research
                Cancer Management and Research
                Dove Medical Press
                07 December 2018
                : 10
                : 6769-6777
                [1 ]Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China, duanhong1970@
                [2 ]Department of Radiology, West China School of Medicine/West China Hospital, Sichuan University, Chengdu, Sichuan, People’s Republic of China
                [3 ]Department of Orthopedics, Sichuan Provincial Fifth People’s Hospital, Chengdu, Sichuan, People’s Republic of China
                [4 ]Department of Orthopedics, Fourth People’s Hospital of ZiGong, Sichuan, People’s Republic of China
                [5 ]Department of Orthopedics, People’s Hospital of Pengzhou, Sichuan, People’s Republic of China
                Author notes
                Correspondence: Hong Duan, Department of Orthopedics, West China School of Medicine/West China Hospital, Sichuan University, 37 Guo Xue Lane, Chengdu, Sichuan 610064, People’s Republic of China, Tel/fax +86 28 8542 2578, Email duanhong1970@

                These authors contributed equally to this work

                © 2018 Fang et al. This work is published and licensed by Dove Medical Press Limited

                The full terms of this license are available at and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License ( By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.

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