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Current Medical Imaging - Current Issue
Volume 20, Issue 1, 2024
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The Radiological Evaluation of the Anatomy of the Alveolar Antral Artery and the Lateral Wall Thickness Using Cone-beam Computed Tomography: A Retrospective Study
Authors: Qiman Zhou, Feng Qiao and Dongwang ZhuObjectivesStudy test aims to assess the position and route of the alveolar antral artery and the lateral wall thickness of the maxillary sinus using cone-beam computed tomography (CBCT), reducing the risk of complications and improving the success rate of surgery.
Materials and MethodsThis study included CBCT scans from 238 patients. The detection diameter of AAA and distance of the lower border of AAA to the maxillary sinus floor at the first premolar, second premolar, first molar, and second molar locations were evaluated. The route of AAA was observed with novel classification. Furthermore, the distance from the maxillary sinus floor to the alveolar crest at four posterior tooth locations was measured respectively. Moreover, the lateral wall thickness at four locations was assessed. Data were subjected to statistical analysis.
ResultsAAA was observed in 62.18% of all sinuses. The mean diameter was 0.99±0.21 mm, with significant differences within gender. Half of the route of AAA was intrasinus intraosseous type. The mean distance between the maxillary sinus floor and AAA was 8.00±2.68 mm, with a significant difference between dentate and edentulous status at the first molar location. Distance from the sinus floor to the alveolar ridge crest in edentulous status negatively correlated with the distance from the sinus floor to AAA at the first molar location. The mean thickness of the lateral wall was 2.03±0.91 mm, and the difference in thickness between males and females at the four locations was statistically significant.
ConclusionIntrasinus-intraosseous type, is the most common route. Special care should be taken at the first molar location during a lateral window sinus floor elevation. CBCT is highly recommended to before lateral wall maxillary sinus floor elevation.
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Current Trends in Feature Extraction and Classification Methodologies of Biomedical Signals
Authors: Sachin Kumar, Karan Veer and Sanjeev KumarBiomedical signal and image processing is the study of the dynamic behavior of various bio-signals, which benefits academics and research. Signal processing is used to assess the behavior of analogue and digital signals for the assessment, reconfiguration, improved efficiency, extraction of features, and reorganization of patterns. This paper unveils hidden characteristic information about input signals using feature extraction methods. The main feature extraction methods used in signal processing are based on studying time, frequency, and frequency domain. Feature exaction methods are used for data reduction, comparison, and reducing dimensions, producing the original signal with sufficient accuracy with a structure of an efficient and robust pattern for the classifier system. Therefore, an attempt has been made to study the various feature extraction methods, feature transformation methods, classifiers, and datasets for biomedical signals.
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The Short-term Efficacy of Contrast-enhanced Ultrasound (CEUS) and Gd-EOB-DTPA-enhanced Magnetic Resonance Imaging (MRI) Fusion Imaging-guided Radiofrequency Ablation (RFA) for Colorectal Liver Metastasis (CRLM)
Authors: Lei Li, Lei Zhang, Xue Han, Xintong Li, Huajing Yang, Ya-Nan SUN and Wen ChengObjectiveThis study is to explore the efficacy of contrast-enhanced ultrasound (CEUS) / Gd-EOB-DTPA-enhanced magnetic resonance imaging (MRI) fusion imaging-guided(fusion group)radiofrequency ablation (RFA) versus conventional ultrasound imaging-guided (conventional group) RFA for colorectal cancer liver metastases (CRLM) in a short-term.
MethodsFrom December 2020 to December 2021, patients who underwent imaging-guided RFA of CRLM at our hospital with available CT/MRI images were enrolled consecutively. 22 patients with 46 lesions had undergone conventional group RFA whereas 29 patients with 63 lesions had undergone fusion group RFA. The lesion detection rate, technical success, local tumor progression (LTP) and complications were calculated.
ResultsIn this retrospective study, 51 patients with 130 lesions were diagnosed with CRLM. However, there were 12 lesions and 9 lesions invisible in the conventional group and fusion group, respectively. The lesion detection rate on the fusion imaging was significantly higher than on the US or CEUS in the fusion group (P<0.05). There were no significant differences of the detection rate between the conventional group and the fusion group (P=0.207). In both groups, the technical success rate was 100%. For local tumor progression (LTP), there were no significant differences between the two groups (P>0.05). The complications after ablation had no significant differences between the two groups (P=0.97).
ConclusionCEUS/ Gd-EOB-DTPA-enhanced MRI fusion imaging is a safe and effective method for RFA in the management of CRLM patients, and it may improve the therapeutic effect by detecting small lesions early.
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Clinical Application of Ultrasound Elastic Imaging in Assessing Poststroke Complex Regional Pain Syndrome (CRPS)
Authors: Min Gao, Zhenwu Gao, Yingchun Li, Bo Zeng and Ying LiangAimsThis study is aimed to explore the characteristics and clinical application of ultrasonic elastography in peripheral soft tissue in patients with poststroke complex regional pain syndrome (CRPS).
BackgroundComplex regional pain syndrome (CRPS) type I is also known as shoulder hand syndrome (SHS). Its main symptoms include shoulder pain, limited activity, upper arm, wrist, and knuckle joint pain. Ultrasonic elastic imaging technology is gradually being applied to musculoskeletal system evaluation, primarily for the elastic examination of superficial tissue, as a result of the continual advancements in ultrasound technology. To make up for the absence of conventional imaging, functional state evaluation of the motor system can offer conventional ultrasonic tissue elasticity and hardness data.
ObjectivesThe purpose of this study was to objectively quantify the soft tissue surrounding the shoulder joint of stroke patients with CRPS using ultrasonic elastic imaging and to determine the diagnostic usefulness of ultrasonic elastic imaging for CRPS in stroke in order to promote its usage in clinical practice.
Materials and MethodsPatients diagnosed with CRPS following a stroke and admitted to the rehabilitation unit at Shanxi Bethune Hospital between January, 2021 to June, 2021 were included in the analysis. The control group consisted of people without pain in their shoulder joints. Each group consisted of 30 patients. A high-frequency wire array probe (frequency = 8-16 Hz) was employed in conjunction with an ultrasonic diagnostic apparatus. A quantitative analytic system determined Young's modulus of the tissue, while the tracking of the shear wave provided an elastin map in real-time. An excitation pulse of acoustic radiation force was used to cause shear waves in the tissue.
ResultsThe Young's modulus of supraspinatus muscle in the study and control groups was 289.16±22.07 Kpa and 231.99±23.61 Kpa, respectively (P <0.01). Young's modulus values of the study group's subscapular biceps were compared to those of the control group (P > 0.05). The supraspinatus shear wave elastographic (SWE) imaging value was 10.01±0.49 m/s in the study group and 7.92±0.50 in the control group (P <0.05). The study and control groups had subscapular muscle SWE values of 15.99±1.95 and 8.64±0.56 m/s, respectively (P <0.05). The average biceps tendon SWE value in the study and control groups was 6.39±0.42 and 4.69±0.36 m/s, respectively (P <0.05).
Conclusion test12In conclusion, the SWE assessed by ultrasound elastography is useful for early diagnosis and evaluation of the superior shoulder tendon, subscapular tendon, and biceps tendon of CRPS following stroke test.
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Volumes & issues
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Volume 20 (2024)
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Volume 19 (2023)
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Volume 18 (2022)
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Volume 17 (2021)
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Volume 16 (2020)
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Volume 15 (2019)
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Volume 14 (2018)
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Volume 13 (2017)
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Volume 12 (2016)
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Volume 11 (2015)
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Volume 10 (2014)
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Volume 9 (2013)
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Volume 8 (2012)
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Volume 7 (2011)
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Volume 6 (2010)
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Volume 5 (2009)
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Volume 4 (2008)
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Volume 3 (2007)
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Volume 2 (2006)
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Volume 1 (2005)