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Paley CT, Knight AE, Jin FQ, Moavenzadeh SR, Pietrosimone LS, Hobson-Webb LD, Rouze NC, Palmeri ML, Nightingale KR. Repeatability of Rotational 3-D Shear Wave Elasticity Imaging Measurements in Skeletal Muscle. Ultrasound Med Biol 2023; 49:750-760. [PMID: 36543617 PMCID: PMC10065087 DOI: 10.1016/j.ultrasmedbio.2022.10.012] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/24/2022] [Revised: 09/15/2022] [Accepted: 10/16/2022] [Indexed: 06/17/2023]
Abstract
Shear wave elasticity imaging (SWEI) usually assumes an isotropic material; however, skeletal muscle is typically modeled as a transversely isotropic material with independent shear wave speeds in the directions along and across the muscle fibers. To capture these direction-dependent properties, we implemented a rotational 3-D SWEI system that measures the shear wave speed both along and across the fibers in a single 3-D acquisition, with automatic detection of the muscle fiber orientation. We tested and examined the repeatability of this system's measurements in the vastus lateralis of 10 healthy volunteers. The average coefficient of variation of the measurements from this 3-D SWEI system was 5.3% along the fibers and 8.1% across the fibers. When compared with estimated respective 2-D SWEI values of 16.0% and 83.4%, these results suggest using 3-D SWEI has the potential to improve the precision of SWEI measurements in muscle. Additionally, we observed no significant difference in shear wave speed between the dominant and non-dominant legs along (p = 0.26) or across (p = 0.65) the muscle fibers.
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Affiliation(s)
| | - Anna E Knight
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Felix Q Jin
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | | | - Laura S Pietrosimone
- Physical Therapy Division, Department of Orthopaedics, Duke University, Durham, North Carolina, USA
| | - Lisa D Hobson-Webb
- Neuromuscular Division, Department of Neurology, Duke University, Durham, North Carolina, USA
| | - Ned C Rouze
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Mark L Palmeri
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
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de Oliveira RP, Baptista RP, Martins CBDC, Faletti A, Soletti RC, Borges HL, Machado JC. 3-D Endoluminal Ultrasound Biomicroscopic Imaging and Volumetry of Mouse Colon Tumors. Ultrasound Med Biol 2021; 47:2990-3001. [PMID: 34304909 DOI: 10.1016/j.ultrasmedbio.2021.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/14/2020] [Revised: 06/13/2021] [Accepted: 06/14/2021] [Indexed: 06/13/2023]
Abstract
Currently, colonoscopy is considered the gold standard procedure for diagnosis of colorectal cancer (CRC), the third most common cancer in the United States. However, this technique fails to detect flat adenomas, serrated polyps and advanced adenomas, with miss rates of 34%, 27% and 14%, respectively. These miss rates, more frequent than previously supposed, suggest the need for new CRC screening tools. In the work described here, the potential application of a 40-MHz ultrasound system to generate a sequence of 2-D endoluminal ultrasound biomicroscopy (eUBM-2-D) images of a mouse model of colon cancer was investigated, and this image sequence was used to render eUBM-3-D images and to measure tumor volume. The technique was validated with tissue-mimicking phantoms and used in vivo with mice bearing colon polypoid tumors. Estimated volumes ranged from 0.174-7.909 mm3 for targets in validation phantoms and from 0.066-6.082 mm3 for mouse colon tumors.
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Affiliation(s)
| | - Renata Porciuncula Baptista
- Engineering Department of Electronics and Computing, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | | | - Anderson Faletti
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - Rossana Colla Soletti
- Interdisciplinary Department, Federal University of Rio Grande do Sul, Tramandaí, RS, Brazil
| | - Helena Lobo Borges
- Institute of Biomedical Sciences, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
| | - João Carlos Machado
- Biomedical Engineering Program, COPPE, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil; Post-Graduation Program in Surgical Sciences, Department of Surgery, School of Medicine, Federal University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil
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Wang B, Zhang Y, Ming Y, Ge M, Wei P, Li C, Chen L, Liu X, Xu S, Liu Y. A segmentation-independent volume rendering visualisation method might reduce redundant explorations and post-surgical complications of microvascular decompression. Eur Radiol 2020; 30:3823-33. [PMID: 32103364 DOI: 10.1007/s00330-020-06715-x] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2019] [Revised: 01/02/2020] [Accepted: 02/05/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVES This study aimed to investigate the feasibility of segmentation-independent volume rendering (SI-VR) in visualising the root entry zone (REZ), and to explore the influence on the management of vascular compression syndromes (VCSs). METHODS Two hundred and twenty patients with VCSs were recruited in this prospective study from July 2015 to May 2019. SI-VR was reconstructed based on inverted 3D fast spin echo T2WI. They were assigned to the experimental group and control group randomly. Patients in the experimental group would accept extra evaluation based on SI-VR before microvascular decompression. Image quality and diagnostic accuracy between SI-VR and 3D fast spin echo T2WI in the experimental group were compared by Mann-Whitney U test and chi-square test, separately. Interobserver agreement was performed with intraclass correlation coefficient. Postsurgical outcomes and complications between two groups were compared by chi-square test. RESULTS SI-VR had a better interobserver agreement (0.82 vs 0.68) and diagnostic accuracy (95.5% vs 83.6%, p = 0.004) than that of 3D fast spin echo T2WI. Especially, significantly improved diagnostic accuracy was reached in detecting the multi-vascular branches compression (100% vs 15.4%, p < 0.001). There were fewer complications (7.1% vs 26.8%, p = 0.004) and less operation time (20.7 min vs 14.5 min, p = 0.007) but no significant difference of pain relief (p = 0.19) in the experimental group than in the control group. CONCLUSIONS The SI-VR method is feasible for the precise demonstration of the anatomy structure along the REZ, with high reliability and reproducibility. Unbiased pre-surgical visualisation could reduce redundant explorations and post-surgical complications in patients who undergo microvascular decompression. KEY POINTS • Visualisation of the root entry zone by the segmentation-independent volume rendering is in accordance with the landscape by the neuro-endoscopy. • Segmentation-independent volume rendering has an advantage over 3D fast spin echo T2WI in the visualisation of multi-vascular branches compression. • Presurgical 3D visualisation of the neurovascular compression at the root entry zone leads to less postsurgical complications from the decrease of redundant exploration.
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Landgraeber S, Pauli J. [Kinematic examination of the musculoskeletal system : Use of methods of image and image sequence analyses as well as shape and motion models]. Orthopade 2018; 47:834-41. [PMID: 30043158 DOI: 10.1007/s00132-018-3599-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 10/28/2022]
Abstract
Image-based preoperative planning has become a routine component in surgery on the musculoskeletal system. In joint arthroplasty it is obligatory. Surgeons are increasingly considering new approaches with additional computer-based kinematic examinations that also generate dynamic image analyses. This article describes several of these new examination techniques and discusses their clinical relevance.
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Ha IB, Jeong BK, Kang KM, Jeong H, Lee YH, Choi HS, Lee JH, Choi WJ, Shin JK, Song JH. Who Really Benefits from 3D-Based Planning of Brachytherapy for Cervical Cancer? J Korean Med Sci 2018; 33:e135. [PMID: 29713255 PMCID: PMC5920124 DOI: 10.3346/jkms.2018.33.e135] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 03/13/2018] [Indexed: 11/20/2022] Open
Abstract
BACKGROUND Although intracavitary radiotherapy (ICR) is essential for the radiation therapy of cervical cancer, few institutions in Korea perform 3-dimensional (3D)-based ICR. To identify patients who would benefit from 3D-based ICR, dosimetric parameters for tumor targets and organs at risk (OARs) were compared between 2-dimensional (2D)- and 3D-based ICR. METHODS Twenty patients with locally advanced cervical cancer who underwent external beam radiation therapy (EBRT) following 3D-based ICR were retrospectively evaluated. New 2D-based plans based on the Manchester system were developed. Tumor size was measured by magnetic resonance imaging. RESULTS The mean high risk clinical target volume (HR-CTV) D90 value was about 10% lower for 2D- than for 3D-based plans (88.4% vs. 97.7%; P = 0.068). Tumor coverage did not differ between 2D- and 3D-based plans in patients with tumors ≤ 4 cm at the time of brachytherapy, but the mean HR-CTV D90 values in patients with tumors > 4 cm were significantly higher for 3D-based plans than for 2D-based plans (96.0% vs. 78.1%; P = 0.017). Similar results were found for patients with tumors > 5 cm initially. Other dosimetric parameters for OARs were similar between 2D- and 3D-based plans, except that mean sigmoid D2cc was higher for 2D- than for 3D-based plans (67.5% vs. 58.8%; P = 0.043). CONCLUSION These findings indicate that 3D-based ICR plans improve tumor coverage while satisfying the dose constraints for OARs. 3D-based ICR should be considered in patients with tumors > 4 cm size at the time of brachytherapy or > 5 cm initially.
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Affiliation(s)
- In Bong Ha
- Department of Radiation Oncology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Bae Kwon Jeong
- Department of Radiation Oncology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea
- Institute of Health Science, Gyeongsang National University, Jinju, Korea
| | - Ki Mun Kang
- Institute of Health Science, Gyeongsang National University, Jinju, Korea
- Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon, Korea
| | - Hojin Jeong
- Department of Radiation Oncology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea
- Institute of Health Science, Gyeongsang National University, Jinju, Korea
| | - Yun Hee Lee
- Department of Radiation Oncology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea
- Institute of Health Science, Gyeongsang National University, Jinju, Korea
| | - Hoon Sik Choi
- Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon, Korea
| | - Jong Hak Lee
- Department of Obstetrics and Gynecology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Won Jun Choi
- Department of Obstetrics and Gynecology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Jeong Kyu Shin
- Department of Obstetrics and Gynecology, Gyeongsang National University Hospital, Gyeongsang National University School of Medicine, Jinju, Korea
| | - Jin Ho Song
- Institute of Health Science, Gyeongsang National University, Jinju, Korea
- Department of Radiation Oncology, Gyeongsang National University Changwon Hospital, Gyeongsang National University School of Medicine, Changwon, Korea
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