Tomography最新文献

筛选
英文 中文
The Image Clarity Paradox: Higher CZT SPECT Contrast Does Not Always Translate to Diagnostic Accuracy for Alzheimer's Disease. 图像清晰度悖论:更高的CZT SPECT对比度并不总是转化为阿尔茨海默病的诊断准确性。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-25 DOI: 10.3390/tomography11060061
Kiyotaka Nemoto, Bryan J Mathis, Akemi Iwasaka, Kenjiro Nakayama, Tomohiro Kaneta, Tetsuaki Arai
{"title":"The Image Clarity Paradox: Higher CZT SPECT Contrast Does Not Always Translate to Diagnostic Accuracy for Alzheimer's Disease.","authors":"Kiyotaka Nemoto, Bryan J Mathis, Akemi Iwasaka, Kenjiro Nakayama, Tomohiro Kaneta, Tetsuaki Arai","doi":"10.3390/tomography11060061","DOIUrl":"10.3390/tomography11060061","url":null,"abstract":"<p><p><b>Background</b>: Recent advances in single-photon emission computed tomography (SPECT) technology, particularly cadmium-zinc-telluride (CZT) detectors, have improved spatial resolution and contrast in cerebral blood flow imaging. This study aimed to investigate whether these improvements translate to enhanced diagnostic accuracy for Alzheimer's disease (AD). <b>Methods</b>: We compared conventional SPECT (eCAM) with CZT SPECT in 29 patients (mean age 60.9 ± 17.6 years, 69% female) with suspected neurodegenerative diseases. <b>Results</b>: Gray matter/white matter contrast was significantly higher in CZT SPECT compared to eCAM (1.615 ± 0.096 vs. 1.458 ± 0.068, <i>p</i> < 0.001). However, diagnostic accuracy for AD did not improve with CZT SPECT. For the participating psychiatrist, sensitivity decreased from 0.750 (eCAM) to 0.625 (CZT), while for the radiologist, specificity dropped from 0.571 (eCAM) to 0.429 (CZT). Overall accuracy slightly decreased for both readers. <b>Conclusions</b>: These findings suggest that while CZT SPECT offers superior image quality, it may not immediately translate to improved diagnostic accuracy for AD. The study highlights the importance of specialized training for clinicians in interpreting higher-resolution CZT SPECT images to fully leverage their potential in neurodegenerative disease diagnosis. Future research should focus on developing standardized training protocols and larger, multi-center studies to validate these findings.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12196972/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Early Concepts in CT Image-Guided Robotic Vascular Surgery: The Displacement of Retroperitoneal Structures During Simulated Procedures in a Cadaveric Model. CT图像引导的血管手术机器人的早期概念:在尸体模型模拟过程中腹膜后结构的移位。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-23 DOI: 10.3390/tomography11060060
Balazs C Lengyel, Ponraj Chinnadurai, Rebecca G Barnes, Charudatta S Bavare, Alan B Lumsden
{"title":"Early Concepts in CT Image-Guided Robotic Vascular Surgery: The Displacement of Retroperitoneal Structures During Simulated Procedures in a Cadaveric Model.","authors":"Balazs C Lengyel, Ponraj Chinnadurai, Rebecca G Barnes, Charudatta S Bavare, Alan B Lumsden","doi":"10.3390/tomography11060060","DOIUrl":"10.3390/tomography11060060","url":null,"abstract":"<p><strong>Background: </strong>CT image guidance and navigation, although routinely used in complex endovascular procedures, is an unexplored territory in evolving vascular robotic procedures. In robotic surgery, it promises the better localization of vasculature, the optimization of port placement, less inadvertent tissue damage, and increased patient safety during the dissection of retroperitoneal structures. However, unknown tissue displacement resulting from induced pneumoperitoneum and positional changes compared to the preoperative CT scan can pose significant limitations to the reliability of image guidance. We aimed to study the displacement of retroperitoneal organs and vasculature due to factors such as increased intra-abdominal pressure (IAP) due to CO<sub>2</sub> insufflation and patient positioning (PP) using intraoperative CT imaging in a cadaveric model.</p><p><strong>Methods: </strong>A thawed, fresh-frozen human cadaveric model was positioned according to simulated procedural workflows. Intra-arterial, contrast-enhanced CT scans were performed after the insertion of four laparoscopic ports in the abdomen. CT scans were performed with 0-5-15-25 mmHg IAPs in supine, left lateral decubitus, right lateral decubitus, Trendelenburg, and reverse Trendelenburg positions. Euclidean distances between fixed anatomical bony and retroperitoneal vascular landmarks were measured and compared across different CT scans.</p><p><strong>Results: </strong>Comparing the effects of various IAPs to the baseline (zero IAP) in the same PP, an average displacement for retroperitoneal vascular landmarks ranged from 0.6 to 3.0 mm (SD 1.0-2.8 mm). When changing the PPs while maintaining the same IAP, the average displacement of the retroperitoneal vasculature ranged from 2.0 to 15.0 mm (SD 1.7-7.2 mm).</p><p><strong>Conclusions: </strong>Our preliminary imaging findings from a single cadaveric model suggest minimal (~3 mm maximum) target vasculature displacement in the retroperitoneum due to elevated IAP in supine position and higher displacement due to changes in patient positioning. Similar imaging studies are needed to quantify procedural workflow-specific and anatomy-specific deformation, which would be invaluable in developing and validating advanced tissue deformation models, facilitating the routine applicability and usefulness of CT image guidance for target delineation during robotic vascular procedures.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12197135/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486915","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Partial Breast Irradiation for Early-Stage Breast Cancer: Advances, Challenges, and Future Directions-A Narrative Review. 早期乳腺癌部分乳房照射:进展、挑战和未来方向。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-22 DOI: 10.3390/tomography11060059
Ayyaz Qadir, Nabita Singh, Anelyn Chui, Michael Chao, Sergio Uribe, Farshad Foroudi
{"title":"Partial Breast Irradiation for Early-Stage Breast Cancer: Advances, Challenges, and Future Directions-A Narrative Review.","authors":"Ayyaz Qadir, Nabita Singh, Anelyn Chui, Michael Chao, Sergio Uribe, Farshad Foroudi","doi":"10.3390/tomography11060059","DOIUrl":"10.3390/tomography11060059","url":null,"abstract":"<p><p>Advances in breast cancer treatment have shifted the focus from maximizing local control to balancing oncologic efficacy with treatment de-escalation and toxicity reduction. Whole-breast irradiation (WBI) following breast-conserving surgery remains the standard of care, but with up to 90% of recurrences occurring near the tumor bed, partial breast irradiation (PBI) has emerged as a viable alternative. Large randomized controlled trials (such as IMPORT LOW, Florence, and GEC-ESTRO) have demonstrated comparable ipsilateral breast tumor recurrence (IBTR) rates between PBI and WBI, reinforcing its oncologic safety in well-selected patients. However, challenges remain in optimizing fractionation schedules, refining patient selection, and minimizing late toxicity. Recent innovations, including MRI-guided radiotherapy (MRgRT) and neoadjuvant PBI, offer improved tumor targeting, real-time plan adaptation, and enhanced normal tissue sparing. These advancements hold promise for further reducing radiation-related morbidity and improving cosmetic outcomes. As PBI progresses, integrating novel imaging modalities and hypofractionated regimens will be crucial to refining protocols. This review synthesizes the latest evidence on PBI techniques, clinical outcomes, and emerging technologies to guide future research and clinical decision-making in precision breast radiotherapy.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 6","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12197022/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144486919","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Birth-Related Subdural Hemorrhage in Asymptomatic Newborns: Magnetic Resonance Imaging Prevalence and Evolution of Intracranial and Intraspinal Localization. 无症状新生儿的出生相关硬膜下出血:磁共振成像颅内和椎管内定位的流行和演变。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-20 DOI: 10.3390/tomography11050058
Davide Turilli, Leandra Piscopo, Alberto Dessì, Claudia Pinna, Liala Mirella Fattacciu, Emma Solinas, Ilaria Conti, Stefania Tamburrini, Giacomo Sica, Michele Klain, Salvatore Masala, Mariano Scaglione
{"title":"Birth-Related Subdural Hemorrhage in Asymptomatic Newborns: Magnetic Resonance Imaging Prevalence and Evolution of Intracranial and Intraspinal Localization.","authors":"Davide Turilli, Leandra Piscopo, Alberto Dessì, Claudia Pinna, Liala Mirella Fattacciu, Emma Solinas, Ilaria Conti, Stefania Tamburrini, Giacomo Sica, Michele Klain, Salvatore Masala, Mariano Scaglione","doi":"10.3390/tomography11050058","DOIUrl":"10.3390/tomography11050058","url":null,"abstract":"<p><p><b>Background</b>: Neonatal birth-related intracranial subdural hemorrhages (SDHs) represent a form of bleeding inside the skull that occurs in newborns. This condition includes the extravasation of blood both in the encephalic parenchyma and in the extra-axial spaces. Recent studies have shown that SDH and particularly post-traumatic birth-related hemorrhages represent a frequent occurrence, but they are often asymptomatic. The gold standard for the diagnosis and follow-up of patients with SDH is multiparametric Magnetic Resonance Imaging. The aim of this study is to describe our experience by reporting several cases of SDH with different distribution and Central Nervous System involvement by the MRI of this pathology in infants up to 30 days of age. <b>Methods</b>: We analyzed the age and sex of the patients included in this study, the localization of SDH in different CNS areas, and their frequency using distribution plots and pie charts. <b>Results</b>: About the analysis of the SDH locations in the 32 patients, the most common location was the cerebellum (31/32, 96.9%), followed by parietal and occipital lobes (19/32, 59.4%; 18/32, 56.2%, respectively), falx cerebri (11/32, 34.4%), tentorium cerebelli (10/32, 31.2%), temporal lobes (6/32, 18.7%), and finally cervical and dorsal spine in the same patients (4/32, 12.5%). According to SDH locations, the patients were divided into supratentorial, infratentorial, both, and Spinal Canal. <b>Conclusions</b>: Our study confirmed the literature data regarding the neonatal birth-related SDH high frequency, but also allowed us to focus our attention on the rarest spinal SDH localizations with the same benign evolution.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115422/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152737","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Time-Intensity Curve Analysis of Contrast-Enhanced Ultrasound for Non-Ossified Thyroid Cartilage Invasion in Laryngeal Squamous Cell Carcinoma. 超声造影对喉鳞癌非骨化甲状腺软骨浸润的时间-强度曲线分析。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-16 DOI: 10.3390/tomography11050057
Milda Pucėtaitė, Dalia Mitraitė, Rytis Tarasevičius, Davide Farina, Silvija Ryškienė, Saulius Lukoševičius, Evaldas Padervinskis, Valdas Šarauskas, Saulius Vaitkus
{"title":"Time-Intensity Curve Analysis of Contrast-Enhanced Ultrasound for Non-Ossified Thyroid Cartilage Invasion in Laryngeal Squamous Cell Carcinoma.","authors":"Milda Pucėtaitė, Dalia Mitraitė, Rytis Tarasevičius, Davide Farina, Silvija Ryškienė, Saulius Lukoševičius, Evaldas Padervinskis, Valdas Šarauskas, Saulius Vaitkus","doi":"10.3390/tomography11050057","DOIUrl":"10.3390/tomography11050057","url":null,"abstract":"<p><p><b>Objective:</b> This study aimed to assess the diagnostic value of contrast-enhanced ultrasound (CEUS) time-intensity curve (TIC) parameters in detecting non-ossified thyroid cartilage invasion in patients with laryngeal squamous cell carcinoma (SCC). <b>Methods</b>: A CEUS TIC analysis was performed on 32 cases from 27 patients with histologically confirmed laryngeal SCC. The diagnostic performance of time to peak (TTP), peak intensity (PI), wash-in slope (WIS), area under the curve (AUC), and their quantitative differences (∆TTP, ∆PI, ∆WIS, and ∆AUC) to discriminate between the invaded and the non-invaded non-ossified thyroid cartilage was determined using ROC analysis. A logistic regression analysis was employed to identify significant predictors. <b>Results</b>: In an ROC analysis, of all TIC parameters analyzed separately, ∆TTP showed the greatest diagnostic performance (AUC: 0.85). A ∆TTP cut-off of ≤ 8.9 s differentiated between the invaded and the non-invaded non-ossified thyroid cartilage with a sensitivity of 100%, specificity of 76.9%, and accuracy of 81.3%. A combination of ∆TTP and PI increased the AUC to 0.93, specificity to 100%, and accuracy to 96.8%, but reduced the sensitivity to 83.3%. Meanwhile, the visual assessment of enhancement on CEUS to detect cartilage invasion had 83.3% sensitivity and 84.6% specificity. In a univariate logistic regression, only ∆TTP was a significant predictor of non-ossified thyroid cartilage invasion (OR: 0.80; 95% CI: 0.64-1.00). For every second increase in ∆TTP, the probability of thyroid cartilage invasion decreased by 20%. <b>Conclusions</b>: CEUS TIC parameters, particularly a combination of ∆TTP and PI, showed high diagnostic performance in the detection of non-ossified thyroid cartilage invasion in laryngeal SCC.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115638/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152874","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder. 使用预训练模型将3D MRI转换为2D特征图用于诊断注意缺陷多动障碍。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-13 DOI: 10.3390/tomography11050056
Elahe Hosseini, Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, Pedro Rosa-Neto, Ali-Reza Moradi, Ajay Kumar, Mir Mohsen Pedram, Sanjeev Chawla
{"title":"Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder.","authors":"Elahe Hosseini, Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, Pedro Rosa-Neto, Ali-Reza Moradi, Ajay Kumar, Mir Mohsen Pedram, Sanjeev Chawla","doi":"10.3390/tomography11050056","DOIUrl":"10.3390/tomography11050056","url":null,"abstract":"<p><p><b>Background:</b> According to the World Health Organization (WHO), approximately 5% of children and 2.5% of adults suffer from attention deficit hyperactivity disorder (ADHD). This disorder can have significant negative consequences on people's lives, particularly children. In recent years, methods based on artificial intelligence and neuroimaging techniques, such as MRI, have made significant progress, paving the way for development of more reliable diagnostic tools. In this proof of concept study, our aim was to investigate the potential utility of neuroimaging data and clinical information in combination with a deep learning-based analytical approach, more precisely, a novel feature extraction technique for the diagnosis of ADHD with high accuracy. <b>Methods:</b> Leveraging the ADHD200 dataset, which encompasses demographic information and anatomical MRI scans collected from a diverse ADHD population, our study focused on developing modern deep learning-based diagnostic models. The data preprocessing employed a pre-trained Visual Geometry Group16 (VGG16) network to extract two-dimensional (2D) feature maps from three-dimensional (3D) anatomical MRI data to reduce computational complexity and enhance diagnostic power. The inclusion of personal attributes, such as age, gender, intelligence quotient, and handedness, strengthens the diagnostic models. Four deep-learning architectures-convolutional neural network 2D (CNN2D), CNN1D, long short-term memory (LSTM), and gated recurrent units (GRU)-were employed for analysis of the MRI data, with and without the inclusion of clinical characteristics. <b>Results:</b> A 10-fold cross-validation test revealed that the LSTM model, which incorporated both MRI data and personal attributes, had the best diagnostic performance among all tested models in the diagnosis of ADHD with an accuracy of 0.86 and area under the receiver operating characteristic (ROC) curve (AUC) score of 0.90. <b>Conclusions:</b> Our findings demonstrate that the proposed approach of extracting 2D features from 3D MRI images and integrating these features with clinical characteristics may be useful in the diagnosis of ADHD with high accuracy.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115681/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152878","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Preliminary Results of Clinical Experience with Consolidative High-Dose Thoracic Radiotherapy for Patients with Extensive-Stage Small Cell Lung Cancer. 胸部巩固性大剂量放疗治疗广泛期小细胞肺癌临床经验的初步结果。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-07 DOI: 10.3390/tomography11050055
Hakyoung Kim, Jeongeun Hwang, Sun Myung Kim, Dae Sik Yang
{"title":"Preliminary Results of Clinical Experience with Consolidative High-Dose Thoracic Radiotherapy for Patients with Extensive-Stage Small Cell Lung Cancer.","authors":"Hakyoung Kim, Jeongeun Hwang, Sun Myung Kim, Dae Sik Yang","doi":"10.3390/tomography11050055","DOIUrl":"10.3390/tomography11050055","url":null,"abstract":"<p><strong>Objectives: </strong>Extensive-stage small-cell lung cancer (SCLC) has a poor prognosis, but recently, the combination of immunotherapy and chemotherapy has improved treatment outcomes in some patients, and treatment plans may vary depending on the individual's general condition and tumor response. In addition, intrathoracic tumor control remains a major challenge for this disease. In the current study, we aim to share our clinical experience and demonstrate that consolidative high-dose thoracic radiotherapy effectively reduces intrathoracic tumor recurrence while maintaining acceptable treatment-related toxicities.</p><p><strong>Materials and methods: </strong>The medical records of 81 SCLC patients treated at Korea University Guro Hospital from January 2019 to December 2023 were reviewed retrospectively. Among them, 22 patients with extensive-stage SCLC who had a favorable tumor response after systemic therapy, including those with oligo-progressive disease limited to the thoracic region and suitable for curative local therapy, received consolidative radiotherapy. A total dose of 52.5 Gy in 25 fractions was administered over 5 weeks to all patients with extensive-stage SCLC.</p><p><strong>Results and conclusions: </strong>The median follow-up time was 22 months (range: 8-59 months), with the median follow-up period after completing consolidative radiotherapy being 13 months (range: 4-35 months). In-field local recurrence occurred in only one patient after consolidative thoracic radiotherapy. Most importantly, 10 patients with oligo-progressive disease at the thoracic site, at the time of tumor response, remained stable without further intrathoracic in-field recurrence. Additionally, no severe cases of radiation pneumonitis or esophagitis were observed. Based on our institution's experience, consolidative high-dose thoracic radiotherapy is well-tolerated and associated with fewer intrathoracic recurrences, leading to improved long-term survival in carefully selected patients with extensive-stage SCLC. Given these findings, we believe consolidative radiotherapy should be considered more proactively in clinical practice. Furthermore, these results may help guide the design of future clinical trials.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115686/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152855","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
CT Perfusion Imaging in Patients with Acute Ischemic Stroke: The Role of Premorbid Statin Treatment. 急性缺血性卒中患者的CT灌注成像:发病前他汀类药物治疗的作用。
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-06 DOI: 10.3390/tomography11050054
Eliseo Picchi, Francesca Di Giuliano, Noemi Pucci, Fabrizio Sallustio, Silvia Minosse, Alfredo Paolo Mascolo, Federico Marrama, Valentina Ferrazzoli, Valerio Da Ros, Marina Diomedi, Massimo Federici, Francesco Garaci
{"title":"CT Perfusion Imaging in Patients with Acute Ischemic Stroke: The Role of Premorbid Statin Treatment.","authors":"Eliseo Picchi, Francesca Di Giuliano, Noemi Pucci, Fabrizio Sallustio, Silvia Minosse, Alfredo Paolo Mascolo, Federico Marrama, Valentina Ferrazzoli, Valerio Da Ros, Marina Diomedi, Massimo Federici, Francesco Garaci","doi":"10.3390/tomography11050054","DOIUrl":"10.3390/tomography11050054","url":null,"abstract":"<p><strong>Background: </strong>Statins appear to be useful in patients with acute ischemic stroke. Our aim was to evaluate the association between premorbid statin treatment and CT perfusion characteristics of acute ischemic stroke.</p><p><strong>Methods: </strong>A retrospective analysis of patients with acute stroke secondary to occlusion of large vessels in the anterior circulation was performed to assess collateral flow, ischemic core volume, and ischemic penumbra using CT angiography and CT perfusion maps. Fisher's exact test was used to compare baseline characteristics of patients in the two groups. The Wilcoxon rank-sum test for independent groups was used to compare all variables obtained for the two different groups with and without statin use.</p><p><strong>Results: </strong>We identified 61 patients, including 29 treated with statins and 32 not treated with statins before stroke onset matched by age, gender, and vascular risk factors except for hypercholesterolemia. The statin group showed lower National Institutes of health Stroke Scale scores at onset (14 ± 6.1 vs. 16 ± 4.5; <i>p</i> = 0.04) and lower volumes of brain tissue characterized by impaired cerebral blood flow (CBF), cerebral blood volume (CBV), and Tmax9.5-25s; otherwise, no statistically significant difference was found in the volume of the Tmax16-25s between the two groups.</p><p><strong>Conclusions: </strong>Premorbid statin treatment is associated with a favorable imaging condition of acute ischemic stroke in terms of ischemic core and ischemic penumbra volume.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115380/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152804","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Shoulder Injury Related to Vaccine Administration (SIRVA) Following COVID-19 Vaccination: Correlating MRI Findings with Patient Demographics. COVID-19疫苗接种后与疫苗管理(SIRVA)相关的肩伤:MRI结果与患者人口统计学的相关性
IF 2.2 4区 医学
Tomography Pub Date : 2025-05-02 DOI: 10.3390/tomography11050053
Naser Obeidat, Ruba Khasawneh, Ahmad Alrawashdeh, Ali M Abdel Kareem, Mohammad K Al-Na'asan, Mohammad Alkhatatba, Suhaib Bani Essa
{"title":"Shoulder Injury Related to Vaccine Administration (SIRVA) Following COVID-19 Vaccination: Correlating MRI Findings with Patient Demographics.","authors":"Naser Obeidat, Ruba Khasawneh, Ahmad Alrawashdeh, Ali M Abdel Kareem, Mohammad K Al-Na'asan, Mohammad Alkhatatba, Suhaib Bani Essa","doi":"10.3390/tomography11050053","DOIUrl":"10.3390/tomography11050053","url":null,"abstract":"<p><strong>Objectives: </strong>Shoulder injury related to vaccine administration (SIRVA), previously observed with influenza vaccines, has gained clinical significance with widespread COVID-19 vaccination. However, few studies correlate vaccine types and demographic factors with the MRI findings of SIRVA. This study aimed to evaluate MRI findings of SIRVA following COVID-19 vaccination and assess associations with vaccine type and patient characteristics.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted on 35 patients with new-onset shoulder complaints within six weeks of COVID-19 vaccination between May 2021 and May 2022. MRI findings suggestive of SIRVA were reviewed, including subacromial bursitis, rotator cuff tears, and adhesive capsulitis. Demographic data, vaccine type, clinical symptoms, and treatments were collected. Follow-up interviews (1-30 September 2024) assessed symptom persistence and vaccine hesitancy. Descriptive statistics and Chi-square tests were used to explore associations.</p><p><strong>Results: </strong>Of the 35 patients (mean age 53.6 ± 9.0 years; 54.3% female), subacromial bursitis was the most common MRI finding (89.5%), followed by tendonitis (47.4%) and adhesive capsulitis (36.8%). Tendonitis correlated with older age (<i>p</i> = 0.024) and AstraZeneca vaccination (<i>p</i> = 0.033). Subacromial bursitis was linked to female sex (<i>p</i> = 0.013) and higher BMI (<i>p</i> = 0.023). Adhesive capsulitis was associated with receiving the Sinopharm vaccine (<i>p</i> = 0.029). Persistent symptoms (22.9%) were more common in younger patients, women, and those with right-sided injections.</p><p><strong>Conclusions: </strong>SIRVA following COVID-19 vaccination showed different MRI patterns associated with female sex, higher BMI, and vaccine type. Awareness of these patterns may expedite recognition of COVID-19-associated SIRVA in routine practice.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115978/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152866","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods. 医学图像分割:基于深度学习的方法综述。
IF 2.2 4区 医学
Tomography Pub Date : 2025-04-30 DOI: 10.3390/tomography11050052
Yuxiao Gao, Yang Jiang, Yanhong Peng, Fujiang Yuan, Xinyue Zhang, Jianfeng Wang
{"title":"Medical Image Segmentation: A Comprehensive Review of Deep Learning-Based Methods.","authors":"Yuxiao Gao, Yang Jiang, Yanhong Peng, Fujiang Yuan, Xinyue Zhang, Jianfeng Wang","doi":"10.3390/tomography11050052","DOIUrl":"10.3390/tomography11050052","url":null,"abstract":"<p><p>Medical image segmentation is a critical application of computer vision in the analysis of medical images. Its primary objective is to isolate regions of interest in medical images from the background, thereby assisting clinicians in accurately identifying lesions, their sizes, locations, and their relationships with surrounding tissues. However, compared to natural images, medical images present unique challenges, such as low resolution, poor contrast, inconsistency, and scattered target regions. Furthermore, the accuracy and stability of segmentation results are subject to more stringent requirements. In recent years, with the widespread application of Convolutional Neural Networks (CNNs) in computer vision, deep learning-based methods for medical image segmentation have become a focal point of research. This paper categorizes, reviews, and summarizes the current representative methods and research status in the field of medical image segmentation. A comparative analysis of relevant experiments is presented, along with an introduction to commonly used public datasets, performance evaluation metrics, and loss functions in medical image segmentation. Finally, potential future research directions and development trends in this field are predicted and analyzed.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"11 5","pages":""},"PeriodicalIF":2.2,"publicationDate":"2025-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12115501/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144152852","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
相关产品
×
本文献相关产品
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信