International Journal of Biomedical Imaging最新文献

{"title":"Cortical Morphology Alterations Mediate the Relationship Between Glymphatic System Function and the Severity of Asthenopia.","authors":"Yilei Chen, Jun Xu, Yingnan Kong, Yingjie Kang, Zhigang Gong, Hui Wang, Yanwen Huang, Songhua Zhan, Ying Yu, Xiaoli Lv, Wenli Tan","doi":"10.1155/ijbi/4464776","DOIUrl":"10.1155/ijbi/4464776","url":null,"abstract":"<p><p><b>Objectives</b>: This study is aimed at assessing glymphatic function by diffusion tensor image analysis along the perivascular space (DTI-ALPS) and its associations with cortical morphological changes and severity of accommodative asthenopia (AA). <b>Methods</b>: We prospectively enrolled 50 patients with AA and 47 healthy controls (HCs). All participants underwent diffusion tensor imaging (DTI) and T1-weighted imaging and completed the asthenopia survey scale (ASS). Differences in brain morphometry and the analysis along the perivascular space (ALPS) index between the two groups were compared. The correlation and mediation analyses were conducted to explore the relationships between them. <b>Results</b>: Compared to HCs, patients with AA exhibited significantly increased sulcal depth in the left superior occipital gyrus (SOG.L) and increased cortical thickness in the left superior temporal gyrus (STG.L), left middle occipital gyrus (MOG.L), left postcentral gyrus (PoCG.L), and left precuneus (PCUN.L). Additionally, patients with AA had a significantly lower ALPS index than HCs. The sulcal depth of the SOG.L was significantly positively correlated with the ASS score in patients with AA, and a positive correlation was found between the cortical thickness of the MOG.L and ASS score. The ALPS index was negatively associated with the sulcal depth of the SOG.L and cortical thickness of the MOG.L. Mediation analysis revealed that the sulcal depth of SOG.L and cortical thickness of MOG.L partially mediated the impact of the DTI-ALPS index on the ASS score. <b>Conclusion</b>: Our findings suggested that patients with AA exhibit impaired glymphatic function, which may contribute to the severity of asthenopia through its influence on cortical morphological changes. The ALPS index is anticipated to become a potential imaging biomarker for patients with AA. <b>Trial Registration:</b> Chinese Registry of Clinical Trials: ChiCTR1900028306.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2025 ","pages":"4464776"},"PeriodicalIF":3.3,"publicationDate":"2025-02-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11879604/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validity and Responsiveness of Measuring Facial Swelling With 3D Stereophotogrammetry in Patients After Bilateral Sagittal Split Osteotomy-A Prospective Clinimetric Study.","authors":"Margje B Buitenhuis, Reinoud J Klijn, Antoine J W P Rosenberg, Caroline M Speksnijder","doi":"10.1155/ijbi/9957797","DOIUrl":"10.1155/ijbi/9957797","url":null,"abstract":"<p><p><b>Introduction:</b> This study is aimed at determining the validity and responsiveness of three-dimensional (3D) stereophotogrammetry as a measurement instrument for evaluating soft tissue changes in the head and neck area. <b>Method:</b> Twelve patients received a bilateral sagittal split osteotomy (BSSO). 3D stereophotogrammetry, tape measurements, and a global perceived effect scale were performed within the first, second, and third postoperative weeks and at 3 months postoperatively. Distance measurements, mean and root mean square of the distance map, and volume differences were obtained from 3D stereophotogrammetry. Validity and responsiveness were assessed by correlation coefficients. <b>Results:</b> Significant correlations between distances from 3D stereophotogrammetry and tape measurements varied from 0.583 to 0.988, meaning moderate to very high validity. The highest correlations were found for the total sum of distances (<i>r</i> ≥ 0.922). 3D stereophotogrammetry parameters presented weak to high responsiveness, depending on the evaluated head and neck region. None of the parameters for 3D stereophotogrammetry significantly correlated with the global perceived effect scale outcomes for all measurement moments. <b>Conclusion:</b> 3D stereophotogrammetry has high to very high construct validity for the total sum of distances and weak to high responsiveness. 3D stereophotogrammetry seems promising for measuring soft tissue changes after surgery but is not interchangeable with subjective measurements.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2025 ","pages":"9957797"},"PeriodicalIF":3.3,"publicationDate":"2025-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11876518/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143558350","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Automatic Segmentation of the Cisternal Segment of Trigeminal Nerve on MRI Using Deep Learning.","authors":"Li-Ming Hsu, Shuai Wang, Sheng-Wei Chang, Yu-Li Lee, Jen-Tsung Yang, Ching-Po Lin, Yuan-Hsiung Tsai","doi":"10.1155/ijbi/6694599","DOIUrl":"10.1155/ijbi/6694599","url":null,"abstract":"<p><p><b>Purpose:</b> Accurate segmentation of the cisternal segment of the trigeminal nerve plays a critical role in identifying and treating different trigeminal nerve-related disorders, including trigeminal neuralgia (TN). However, the current manual segmentation process is prone to interobserver variability and consumes a significant amount of time. To overcome this challenge, we propose a deep learning-based approach, U-Net, that automatically segments the cisternal segment of the trigeminal nerve. <b>Methods:</b> To evaluate the efficacy of our proposed approach, the U-Net model was trained and validated on healthy control images and tested in on a separate dataset of TN patients. The methods such as Dice, Jaccard, positive predictive value (PPV), sensitivity (SEN), center-of-mass distance (CMD), and Hausdorff distance were used to assess segmentation performance. <b>Results:</b> Our approach achieved high accuracy in segmenting the cisternal segment of the trigeminal nerve, demonstrating robust performance and comparable results to those obtained by participating radiologists. <b>Conclusion:</b> The proposed deep learning-based approach, U-Net, shows promise in improving the accuracy and efficiency of segmenting the cisternal segment of the trigeminal nerve. To the best of our knowledge, this is the first fully automated segmentation method for the trigeminal nerve in anatomic MRI, and it has the potential to aid in the diagnosis and treatment of various trigeminal nerve-related disorders, such as TN.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2025 ","pages":"6694599"},"PeriodicalIF":3.3,"publicationDate":"2025-02-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11847612/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143484410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Visualization of Small Vessels by Micro-Computed Tomography Using Titanium Dioxide Nanoparticles as a Novel Contrast Agent.","authors":"Taku Goto, Ruriko Tanabe, Hirotoshi Shibuya, Masaru Tamura, Shintaro Nomura","doi":"10.1155/ijbi/6688558","DOIUrl":"10.1155/ijbi/6688558","url":null,"abstract":"<p><p>Angiography by means of micro-computed tomography (m-CT) is extensively used for the diagnosis of vasculature disorders. To establish a connection between m-CT images and genuine histopathology findings, we developed two novel titanium dioxide nanoparticle (TiO₂-NP)-based perfusion contrast agents: TiNpCA-1 and TiNpCA-2. Three-dimensionally reconstructed m-CT images in mice perfused with these contrast agents showed high resolution and accuracy in various organs without deformation or dilation of vessels. Vessels < 20 <i> μ</i>m in diameter were clearly visualized by m-CT, and capillaries of 4 <i>μ</i>m in diameter were visualized by nano-CT. After perfusion, the contrast agents were kept in the vessels by the formation of an aggregate with ethanol. Histological samples were prepared from CT-scanned specimens. No perfusion-induced damage or abnormal structures were observed. The signals of the contrast agents were detected clearly, and the tissue histology was of adequate quality for pathological diagnosis. Agglomerates of TiO₂-NPs were present in both agents; their approximate sizes were 1.0 and 6.0 <i>μ</i>m in TiNpCA-1 and 1.5 <i>μ</i>m in TiNpCA-2. We considered that these agglomerates were trapped within capillaries at the beginning of perfusion. And at the end of perfusion, vessels of larger size were filled with agglomerates. These findings suggest a direct correlation between the signal intensity in m-CT imaging and the volume of contrast agent entering the vessels, indicating a quantitative aspect to the system. The low <i>K</i>-edge value of titanium (4.6 KeV) ensures that the signal intensity of the contrast agent remains unaffected at low energies (40 KeV). Lower energy levels improve the contrast-to-noise ratio. Consequently, using titanium dioxide as a contrast agent allows us to achieve a higher contrast-to-noise ratio while maintaining a favorable signal-to-noise ratio. Our results strongly support the notion that TiO₂-NPs as a contrast agents hold promise not only for investigating circulatory disorders in experimental pathology but also for uncovering new insights in anatomical physiology.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2025 ","pages":"6688558"},"PeriodicalIF":3.3,"publicationDate":"2025-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11824794/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143415826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Qualitative and Quantitative Evaluation of the Image Quality of MDCT Multiphasic Liver Scans in HCC Patients.","authors":"Mohamed Zakaria El-Sayed, Mohammad Rawashdeh, Hend Galal Eldeen Mohamed Ali Hassan, Mohamed M El Safwany, Islam I E, Yasser I Khedr, Moustafa A Soula, Magdi A Ali","doi":"10.1155/ijbi/4163865","DOIUrl":"10.1155/ijbi/4163865","url":null,"abstract":"<p><p><b>Background:</b> The quality of CT images obtained from hepatocellular carcinoma (HCC) patients is complex, affecting diagnostic accuracy, precision, and radiation dose assessment due to increased exposure risks. <b>Objectives:</b> The study evaluated image quality qualitatively and quantitatively by comparing quality levels with an effective radiation dose to ensure acceptable quality accuracy. <b>Materials and Methods:</b> This study retrospectively reviewed 100 known HCC patients (Li-RADS-5) who underwent multidetector computed tomography (MDCT) multiphasic scans for follow-up of their health condition between January and October 2023. The evaluation involved quantitative and qualitative analyses of parameters such as SD, SNR, and CNR, as well as a qualitative assessment by two radiology consultants. The outcomes were compared, and the effective dose was calculated and compared with both quantitative and qualitative assessments of image quality. <b>Results:</b> ROC curve analysis revealed significant differences in CT image quality, with high to moderate specificity and sensitivity across all the quantitative parameters. However, multivariate examination revealed decreasing importance levels, except for CNR (<i>B</i>, 0.203; <i>p</i> = 0.001) and SD BG (<i>B</i>, 0.330; <i>p</i> = 0.002), which increased in <i>B</i>. The CNR and SD BG remained independent variables for CT image quality prediction, but no statistically significant relationship was found between the effective dose and image quality, either quantitatively or qualitatively. <b>Conclusion:</b> This study underscores the vital role of both quantitative and qualitative assessments of CT images in evaluating their quality for patients with HCC and highlights the predictive importance of CNR, SNR, and SD. These findings emphasize the value of these devices in assessing and predicting outcomes to minimize the effective dose.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2025 ","pages":"4163865"},"PeriodicalIF":3.3,"publicationDate":"2025-01-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11756936/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143048259","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Radiology Report Annotation Using Generative Large Language Models: Comparative Analysis.","authors":"Bayan Altalla', Ashraf Ahmad, Layla Bitar, Mohammed Al-Bssol, Amal Al Omari, Iyad Sultan","doi":"10.1155/ijbi/5019035","DOIUrl":"10.1155/ijbi/5019035","url":null,"abstract":"<p><p>Recent advancements in large language models (LLMs), particularly GPT-3.5 and GPT-4, have sparked significant interest in their application within the medical field. This research offers a detailed comparative analysis of the abilities of GPT-3.5 and GPT-4 in the context of annotating radiology reports and generating impressions from chest computed tomography (CT) scans. The primary objective is to use these models to assist healthcare professionals in handling routine documentation tasks. Employing methods such as in-context learning (ICL) and retrieval-augmented generation (RAG), the study focused on generating impression sections from radiological findings. Comprehensive evaluation was applied using a variety of metrics, including recall-oriented understudy for gisting evaluation (ROUGE) for n-gram analysis, Instructor Similarity for contextual similarity, and BERTScore for semantic similarity, to assess the performance of these models. The study shows distinct performance differences between GPT-3.5 and GPT-4 across both zero-shot and few-shot learning scenarios. It was observed that certain prompts significantly influenced the performance outcomes, with specific prompts leading to more accurate impressions. The RAG method achieved a superior BERTScore of 0.92, showcasing its ability to generate semantically rich and contextually accurate impressions. In contrast, GPT-3.5 and GPT-4 excel in preserving language tone, with Instructor Similarity scores of approximately 0.92 across scenarios, underscoring the importance of prompt design in effective summarization tasks. The findings of this research emphasize the critical role of prompt design in optimizing model efficacy and point to the significant potential for further exploration in prompt engineering. Moreover, the study advocates for the standardized integration of such advanced LLMs in healthcare practices, highlighting their potential to enhance the efficiency and accuracy of medical documentation.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2025 ","pages":"5019035"},"PeriodicalIF":3.3,"publicationDate":"2025-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11835477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143450553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Single-Step Sampling Approach for Unsupervised Anomaly Detection of Brain MRI Using Denoising Diffusion Models.","authors":"Mohammed Z Damudi, Anita S Kini","doi":"10.1155/ijbi/2352602","DOIUrl":"10.1155/ijbi/2352602","url":null,"abstract":"<p><p>Generative models, especially diffusion models, have gained traction in image generation for their high-quality image synthesis, surpassing generative adversarial networks (GANs). They have shown to excel in anomaly detection by modeling healthy reference data for scoring anomalies. However, one major disadvantage of these models is its sampling speed, which so far has made it unsuitable for use in time-sensitive scenarios. The time taken to generate a single image using the iterative sampling procedure introduced in denoising diffusion probabilistic model (DDPM) is quite significant. To address this, we propose a novel single-step sampling procedure that hugely improves the sampling speed while generating images of comparable quality. While DDPMs usually denoise images containing pure noise to generate an original image, we utilize a partial diffusion approach to preserve the image structure. In anomaly detection, we want the reconstructed image to have a structure similar to the original anomalous image, so that we can compare the pixel-level difference between them in order to segment the anomaly. The original DDPM algorithm suggests an iterative sampling procedure where the model slowly reduces the noise, until we have a noise-free image. Our single-step sampling approach attempts to remove all the noise in the image within a single step, while still being able to repair the anomaly and achieve comparable results. The output is a binary image showing the predicted anomalous regions, which is then compared to the ground truth to evaluate its segmentation performance. We find that, while it does achieve slightly better anomaly masks, the main improvement is in sampling speed, where our approach was found to perform significantly faster as compared to the iterative procedure. Our work is mainly focused on anomaly detection in brain MR volumes, and therefore, this approach could be used by radiologists in a clinical setting to find anomalies in large quantities of brain MRI.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2024 ","pages":"2352602"},"PeriodicalIF":3.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11671643/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142903831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Simple Imaging System for Label-Free Identification of Bacterial Pathogens in Resource-Limited Settings.","authors":"Clément Douarre, Dylan David, Marco Fangazio, Emmanuel Picard, Emmanuel Hadji, Olivier Vandenberg, Barbara Barbé, Liselotte Hardy, Pierre R Marcoux","doi":"10.1155/2024/6465280","DOIUrl":"10.1155/2024/6465280","url":null,"abstract":"<p><p>Fast, accurate, and affordable bacterial identification methods are paramount for the timely treatment of infections, especially in resource-limited settings (RLS). However, today, only 1.3% of the sub-Saharan African diagnostic laboratories are performing clinical bacteriology. To improve this, diagnostic tools for RLS should prioritize simplicity, affordability, and ease of maintenance, as opposed to the costly equipment utilized for bacterial identification in high-income countries, such as matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS). In this work, we present a new high-throughput approach based on a simple wide-field (864 mm²) lensless imaging system allowing for the acquisition of a large portion of a Petri dish coupled with a supervised deep learning algorithm for identification at the bacterial colony scale. This wide-field imaging system is particularly well suited to RLS since it includes neither moving mechanical parts nor optics. We validated this approach through the acquisition and the subsequent analysis of a dataset comprising 252 clinical isolates from five species, encompassing some of the most prevalent pathogens. The resulting optical morphotypes exhibited intra- and interspecies variability, a scenario considerably more akin to real-world clinical practice than the one achievable by solely concentrating on reference strains. Despite this variability, high identification performance was achieved with a correct species identification rate of 91.7%. These results open up some new prospects for identification in RLS. We released both the acquired dataset and the trained identification algorithm in publicly available repositories.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2024 ","pages":"6465280"},"PeriodicalIF":3.3,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11599477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142739662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Noninvasive Assessment of Cardiopulmonary Hemodynamics Using Cardiovascular Magnetic Resonance Pulmonary Transit Time.","authors":"Martin Segeroth, David Jean Winkel, Beat A Kaufmann, Ivo Strebel, Shan Yang, Joshy Cyriac, Jakob Wasserthal, Michael Bach, Pedro Lopez-Ayala, Alexander Sauter, Christian Mueller, Jens Bremerich, Michael Zellweger, Philip Haaf","doi":"10.1155/2024/5691909","DOIUrl":"10.1155/2024/5691909","url":null,"abstract":"<p><p><b>Introduction:</b> Pulmonary transit time (PTT) is the time it takes blood to pass from the right ventricle to the left ventricle via the pulmonary circulation, making it a potentially useful marker for heart failure. We assessed the association of PTT with diastolic dysfunction (DD) and mitral valve regurgitation (MVR). <b>Methods:</b> We evaluated routine stress perfusion cardiovascular magnetic resonance (CMR) scans in 83 patients including assessment of PTT with simultaneously available echocardiographic assessment. Relevant DD and MVR were defined as exceeding Grade I (impaired relaxation and mild regurgitation). PTT was determined from CMR rest perfusion scans. Normalized PTT (nPTT), adjusted for heart rate, was calculated using Bazett's formula. <b>Results:</b> Higher PTT and nPTT values were associated with higher grade DD and MVR. The diagnostic accuracy for the prediction of DD as quantified by the area under the ROC curve (AUC) was 0.73 (CI 0.61-0.85; <i>p</i> = 0.001) for PTT and 0.81 (CI 0.71-0.89; <i>p</i> < 0.001) for nPTT. For MVR, the diagnostic performance amounted to an AUC of 0.80 (CI 0.68-0.92; <i>p</i> < 0.001) for PTT and 0.78 (CI 0.65-0.90; <i>p</i> < 0.001) for nPTT. PTT values < 8 s rule out the presence of DD and MVR with a probability of 70% (negative predictive value 78%). <b>Conclusion:</b> CMR-derived PTT is a readily obtainable hemodynamic parameter. It is elevated in patients with DD and moderate to severe MVR. Low PTT values make the presence of DD and MVR-as assessed by echocardiography-unlikely.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2024 ","pages":"5691909"},"PeriodicalIF":3.3,"publicationDate":"2024-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11535428/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142583914","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison of 3D Gradient-Echo Versus 2D Sequences for Assessing Shoulder Joint Image Quality in MRI.","authors":"Shapoor Shirani, Najmeh-Sadat Mousavi, Milad Ali Talib, Mohammad Ali Bagheri, Elahe Jazayeri Gharebagh, Qasim Abdulsahib Jaafar Hameed, Sadegh Dehghani","doi":"10.1155/2024/2244875","DOIUrl":"10.1155/2024/2244875","url":null,"abstract":"<p><p><b>Background:</b> Three-dimensional gradient-echo (3D-GRE) sequences provide isotropic or nearly isotropic 3D images, leading to better visualization of smaller structures, compared to two-dimensional (2D) sequences. The aim of this study was to prospectively compare 2D and 3D-GRE sequences in terms of key imaging metrics, including signal-to-noise ratio (SNR), contrast-to-noise ratio (CNR), glenohumeral joint space, image quality, artifacts, and acquisition time in shoulder joint images, using 1.5-T MRI scanner. <b>Methods:</b> Thirty-five normal volunteers with no history of shoulder disorders prospectively underwent a shoulder MRI examination with conventional 2D sequences, including <i>T</i> ₁- and <i>T</i> ₂-weighted fast spin echo (T₁/T₂w FSE) as well as proton density-weighted FSE with fat saturation (PD-FS) followed by 3D-GRE sequences including VIBE, TRUEFISP, DESS, and MEDIC techniques. Two independent reviewers assessed all images of the shoulder joints. Pearson correlation coefficient and intra-RR were used for reliability test. <b>Results:</b> Among 3D-GRE sequences, TRUEFISP showed significantly the best CNR between cartilage-bone (31.37 ± 2.57, <i>p</i> < 0.05) and cartilage-muscle (13.51 ± 1.14, <i>p</i> < 0.05). TRUEFISP also showed the highest SNR for cartilage (41.65 ± 2.19, <i>p</i> < 0.01) and muscle (26.71 ± 0.79, <i>p</i> < 0.05). Furthermore, 3D-GRE sequences showed significantly higher image quality, compared to 2D sequences (<i>p</i> < 0.001). Moreover, the acquisition time of the 3D-GRE sequences was considerably shorter than the total acquisition time of PD-FS sequences in three orientations (<i>p</i> < 0.01). <b>Conclusions:</b> 3D-GRE sequences provide superior image quality and efficiency for evaluating articular joints, particularly in shoulder imaging. The TRUEFISP technique offers the best contrast and signal quality, making it a valuable tool in clinical practice.</p>","PeriodicalId":47063,"journal":{"name":"International Journal of Biomedical Imaging","volume":"2024 ","pages":"2244875"},"PeriodicalIF":3.3,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11489005/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142477508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}