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Ultrasound Imaging of Ankle Retinacula: A Comprehensive Review. 踝网膜的超声波成像:全面回顾。
IF 2.2 4区 医学
Tomography Pub Date : 2024-08-14 DOI: 10.3390/tomography10080095
Carmelo Pirri, Nina Pirri, Veronica Macchi, Andrea Porzionato, Raffaele De Caro, Carla Stecco
{"title":"Ultrasound Imaging of Ankle Retinacula: A Comprehensive Review.","authors":"Carmelo Pirri, Nina Pirri, Veronica Macchi, Andrea Porzionato, Raffaele De Caro, Carla Stecco","doi":"10.3390/tomography10080095","DOIUrl":"10.3390/tomography10080095","url":null,"abstract":"<p><p>The retinacula of the ankle are specialized anatomical structures characterized by localized thickenings of the crural fascia that envelop the deep components of the lower leg, ankle and foot. The ankle retinacula include the extensor retinacula, the peroneal retinacula and flexor retinaculum. Despite their potential to explain persistent and unexplained pain following an injury, these structures are often overlooked or incorrectly diagnosed. Hence, this comprehensive review was performed aiming to investigate the use and the methodology of US imaging to assess ankle retinacula. The search was performed on PubMed and Web of Science databases from inception to May 2024. The MeSH keywords used were as follows: \"Ankle Retinacula\", \"Foot Retinacula\", \"Superior extensor retinaculum\", \"Inferior extensor retinaculum\", \"peroneal retinaculum\", \"superior peroneal retinaculum\", \"inferior peroneal retinaculum\", \"flexor retinaculum\", \"Ultrasound Imaging\", \"Ultrasound\", \"Ultrasonography\" and \"Ultrasound examination\". In total, 257 records underwent screening, resulting in 22 studies meeting the criteria for inclusion after the process of revision. Data heterogeneity prevents synthesis and consistent conclusions. The results showed that advanced US imaging holds promise as a crucial tool to perform an US examination of ankle retinacula, offering static and dynamic insights into ankle retinacula pathology. Understanding normal anatomy and US imaging is essential for accurately identifying injuries. Future research should focus on clinical trials to validate parameters and ensure their reliability in clinical practice.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 8","pages":"1277-1293"},"PeriodicalIF":2.2,"publicationDate":"2024-08-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11359401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082504","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
Deep Learning-Assisted Automatic Diagnosis of Anterior Cruciate Ligament Tear in Knee Magnetic Resonance Images. 深度学习辅助自动诊断膝关节磁共振图像中的前交叉韧带撕裂。
IF 2.2 4区 医学
Tomography Pub Date : 2024-08-13 DOI: 10.3390/tomography10080094
Xuanwei Wang, Yuanfeng Wu, Jiafeng Li, Yifan Li, Sanzhong Xu
{"title":"Deep Learning-Assisted Automatic Diagnosis of Anterior Cruciate Ligament Tear in Knee Magnetic Resonance Images.","authors":"Xuanwei Wang, Yuanfeng Wu, Jiafeng Li, Yifan Li, Sanzhong Xu","doi":"10.3390/tomography10080094","DOIUrl":"10.3390/tomography10080094","url":null,"abstract":"<p><p>Anterior cruciate ligament (ACL) tears are prevalent knee injures, particularly among active individuals. Accurate and timely diagnosis is essential for determining the optimal treatment strategy and assessing patient prognosis. Various previous studies have demonstrated the successful application of deep learning techniques in the field of medical image analysis. This study aimed to develop a deep learning model for detecting ACL tears in knee magnetic resonance Imaging (MRI) to enhance diagnostic accuracy and efficiency. The proposed model consists of three main modules: a Dual-Scale Data Augmentation module (DDA) to enrich the training data on both the spatial and layer scales; a selective group attention module (SG) to capture relationships across the layer, channel, and space scales; and a fusion module to explore the inter-relationships among various perspectives to achieve the final classification. To ensure a fair comparison, the study utilized a public dataset from MRNet, comprising knee MRI scans from 1250 exams, with a focus on three distinct views: axial, coronal, and sagittal. The experimental results demonstrate the superior performance of the proposed model, termed SGNET, in ACL tear detection compared with other comparison models, achieving an accuracy of 0.9250, a sensitivity of 0.9259, a specificity of 0.9242, and an AUC of 0.9747.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 8","pages":"1263-1276"},"PeriodicalIF":2.2,"publicationDate":"2024-08-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11487377/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082474","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
Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review. 机器学习和深度学习方法在终生脑年龄预测中的应用:全面回顾。
IF 2.2 4区 医学
Tomography Pub Date : 2024-08-12 DOI: 10.3390/tomography10080093
Yutong Wu, Hongjian Gao, Chen Zhang, Xiangge Ma, Xinyu Zhu, Shuicai Wu, Lan Lin
{"title":"Machine Learning and Deep Learning Approaches in Lifespan Brain Age Prediction: A Comprehensive Review.","authors":"Yutong Wu, Hongjian Gao, Chen Zhang, Xiangge Ma, Xinyu Zhu, Shuicai Wu, Lan Lin","doi":"10.3390/tomography10080093","DOIUrl":"10.3390/tomography10080093","url":null,"abstract":"<p><p>The concept of 'brain age', derived from neuroimaging data, serves as a crucial biomarker reflecting cognitive vitality and neurodegenerative trajectories. In the past decade, machine learning (ML) and deep learning (DL) integration has transformed the field, providing advanced models for brain age estimation. However, achieving precise brain age prediction across all ages remains a significant analytical challenge. This comprehensive review scrutinizes advancements in ML- and DL-based brain age prediction, analyzing 52 peer-reviewed studies from 2020 to 2024. It assesses various model architectures, highlighting their effectiveness and nuances in lifespan brain age studies. By comparing ML and DL, strengths in forecasting and methodological limitations are revealed. Finally, key findings from the reviewed articles are summarized and a number of major issues related to ML/DL-based lifespan brain age prediction are discussed. Through this study, we aim at the synthesis of the current state of brain age prediction, emphasizing both advancements and persistent challenges, guiding future research, technological advancements, and improving early intervention strategies for neurodegenerative diseases.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 8","pages":"1238-1262"},"PeriodicalIF":2.2,"publicationDate":"2024-08-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11359833/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082477","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
An Overview of Cone-Beam Computed Tomography and Dental Panoramic Radiography in Dentistry in the Community. 社区牙科中的锥形束计算机断层扫描和牙科全景放射摄影概述。
IF 2.2 4区 医学
Tomography Pub Date : 2024-08-07 DOI: 10.3390/tomography10080092
David MacDonald, Vera Telyakova
{"title":"An Overview of Cone-Beam Computed Tomography and Dental Panoramic Radiography in Dentistry in the Community.","authors":"David MacDonald, Vera Telyakova","doi":"10.3390/tomography10080092","DOIUrl":"10.3390/tomography10080092","url":null,"abstract":"<p><p>This study reviews the two most important and frequently used systems of tomography used in dentistry today. These are the dental panoramic radiograph (DPR) and cone-beam computed tomography (CBCT). The importance of the DPR has been accentuated by the recent COVID-19 pandemic, as it does not produce an aerosol. Its clinical importance is derived from its panoramic display of the jaws and associated structures and should be examined for incidental findings that may portend a potentially serious outcome. An important recent spin-off of the DPR is the extra-oral bitewing, which can replace its traditional, uncomfortable and aerosol-generating intra-oral counterpart. Although much has been written about them, this paper reviews their essential attributes and limitations in clinical dentistry. Although attempts have been made to reproduce some of the attributes of CT in CBCT such as Hounsfield Units (HU) and improve the contrast resolution of the soft tissues, these remain elusive. Nevertheless, CBCT's dataset should be appropriately reconstructed to fully display the clinical feature prompting its prescription. In certain cases, more than one mode of reconstruction is required.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 8","pages":"1222-1237"},"PeriodicalIF":2.2,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11359355/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082473","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
Novel Deep CNNs Explore Regions, Boundaries, and Residual Learning for COVID-19 Infection Analysis in Lung CT. 新型深度 CNN 探索区域、边界和残余学习,用于肺部 CT 中的 COVID-19 感染分析。
IF 2.2 4区 医学
Tomography Pub Date : 2024-08-03 DOI: 10.3390/tomography10080091
Bader Khalid Alshemaimri
{"title":"Novel Deep CNNs Explore Regions, Boundaries, and Residual Learning for COVID-19 Infection Analysis in Lung CT.","authors":"Bader Khalid Alshemaimri","doi":"10.3390/tomography10080091","DOIUrl":"10.3390/tomography10080091","url":null,"abstract":"<p><p>COVID-19 poses a global health crisis, necessitating precise diagnostic methods for timely containment. However, accurately delineating COVID-19-affected regions in lung CT scans is challenging due to contrast variations and significant texture diversity. In this regard, this study introduces a novel two-stage classification and segmentation CNN approach for COVID-19 lung radiological pattern analysis. A novel Residual-BRNet is developed to integrate boundary and regional operations with residual learning, capturing key COVID-19 radiological homogeneous regions, texture variations, and structural contrast patterns in the classification stage. Subsequently, infectious CT images undergo lesion segmentation using the newly proposed RESeg segmentation CNN in the second stage. The RESeg leverages both average and max-pooling implementations to simultaneously learn region homogeneity and boundary-related patterns. Furthermore, novel pixel attention (PA) blocks are integrated into RESeg to effectively address mildly COVID-19-infected regions. The evaluation of the proposed Residual-BRNet CNN in the classification stage demonstrates promising performance metrics, achieving an accuracy of 97.97%, F1-score of 98.01%, sensitivity of 98.42%, and MCC of 96.81%. Meanwhile, PA-RESeg in the segmentation phase achieves an optimal segmentation performance with an IoU score of 98.43% and a dice similarity score of 95.96% of the lesion region. The framework's effectiveness in detecting and segmenting COVID-19 lesions highlights its potential for clinical applications.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 8","pages":"1205-1221"},"PeriodicalIF":2.2,"publicationDate":"2024-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11359787/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082480","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
A Review of 3D Modalities Used for the Diagnosis of Scoliosis. 用于诊断脊柱侧弯的 3D 模式综述。
IF 2.2 4区 医学
Tomography Pub Date : 2024-08-02 DOI: 10.3390/tomography10080090
Sampath Kumar, Bhaskar Awadhiya, Rahul Ratnakumar, Ananthakrishna Thalengala, Anu Shaju Areeckal, Yashwanth Nanjappa
{"title":"A Review of 3D Modalities Used for the Diagnosis of Scoliosis.","authors":"Sampath Kumar, Bhaskar Awadhiya, Rahul Ratnakumar, Ananthakrishna Thalengala, Anu Shaju Areeckal, Yashwanth Nanjappa","doi":"10.3390/tomography10080090","DOIUrl":"10.3390/tomography10080090","url":null,"abstract":"<p><p>Spine radiographs in the standing position are the recommended standard for diagnosing idiopathic scoliosis. Though the deformity exists in 3D, its diagnosis is currently carried out with the help of 2D radiographs due to the unavailability of an efficient, low-cost 3D alternative. Computed tomography (CT) and magnetic resonance imaging (MRI) are not suitable in this case, as they are obtained in the supine position. Research on 3D modelling of scoliotic spine began with multiplanar radiographs and later moved on to biplanar radiographs and finally a single radiograph. Nonetheless, modern advances in diagnostic imaging have the potential to preserve image quality and decrease radiation exposure. They include the DIERS formetric scanner system, the EOS imaging system, and ultrasonography. This review article briefly explains the technology behind each of these methods. They are compared with the standard imaging techniques. The DIERS system and ultrasonography are radiation free but have limitations with respect to the quality of the 3D model obtained. There is a need for 3D imaging technology with less or zero radiation exposure and that can produce a quality 3D model for diseases like adolescent idiopathic scoliosis. Accurate 3D models are crucial in clinical practice for diagnosis, planning surgery, patient follow-up examinations, biomechanical applications, and computer-assisted surgery.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 8","pages":"1192-1204"},"PeriodicalIF":2.2,"publicationDate":"2024-08-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11360202/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142082472","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
A Novel and Reliable Pixel Response Correction Method (DAC-Shifting) for Spectral Photon-Counting CT Imaging. 用于光谱光子计数 CT 成像的新颖可靠的像素响应校正方法(DAC-Shifting)。
IF 2.2 4区 医学
Tomography Pub Date : 2024-07-22 DOI: 10.3390/tomography10070089
Navrit Johan Singh Bal, Imaiyan Chitra Ragupathy, Trine Tramm, Jasper Nijkamp
{"title":"A Novel and Reliable Pixel Response Correction Method (DAC-Shifting) for Spectral Photon-Counting CT Imaging.","authors":"Navrit Johan Singh Bal, Imaiyan Chitra Ragupathy, Trine Tramm, Jasper Nijkamp","doi":"10.3390/tomography10070089","DOIUrl":"10.3390/tomography10070089","url":null,"abstract":"<p><p>Spectral photon-counting cone-beam computed tomography (CT) imaging is challenged by individual pixel response behaviours, which lead to noisy projection images and subsequent image artefacts like rings. Existing methods to correct for this either use calibration measurements, like signal-to-thickness calibration (STC), or perform a post-processing ring artefact correction of sinogram data or scan reconstructions without taking the pixel response explicitly into account. Here, we present a novel post-processing method (digital-to-analogue converter (DAC)-shifting) which explicitly measures the current pixel response using flat-field images and subsequently corrects the projection data. The DAC-shifting method was evaluated using a repeat series of the spectral photon-counting imaging (Medipix3) of a phantom with different density inserts and iodine K-edge imaging. The method was also compared against polymethyl methacrylate (PMMA)-based STC. The DAC-shifting method was shown to be effective in correcting individual pixel responses and was robust against detector instability; it led to a 47.4% average reduction in CT-number variation in homogeneous materials, with a range of 40.7-55.6%. On the contrary, the STC correction showed varying results; a 13.7% average reduction in CT-number variation, ranging from a 43.7% increase to a 45.5% reduction. In K-edge imaging, DAC-shifting provides a sharper attenuation peak and more uniform CT values, which are expected to benefit iodine concentration quantifications.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 7","pages":"1168-1191"},"PeriodicalIF":2.2,"publicationDate":"2024-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11281142/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141762510","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
The Incidence and Characteristics of Pelvic-Origin Varicosities in Patients with Complex Varices Evaluated by Ultrasonography. 通过超声波检查评估复杂静脉曲张患者盆腔源性静脉曲张的发病率和特征。
IF 2.2 4区 医学
Tomography Pub Date : 2024-07-19 DOI: 10.3390/tomography10070088
Kwon Cheol Yoo, Hyung Sub Park, Chang Sik Shin, Taeseung Lee
{"title":"The Incidence and Characteristics of Pelvic-Origin Varicosities in Patients with Complex Varices Evaluated by Ultrasonography.","authors":"Kwon Cheol Yoo, Hyung Sub Park, Chang Sik Shin, Taeseung Lee","doi":"10.3390/tomography10070088","DOIUrl":"10.3390/tomography10070088","url":null,"abstract":"<p><strong>Objective: </strong>The purpose of this study was to evaluate the incidence of gonadal vein refluxes associated with lower-extremity varicose veins with Doppler ultrasonography (DUS).</p><p><strong>Method: </strong>A total of 6279 patients with venous disease-related symptoms of the lower extremity were evaluated with DUS in the vascular lab. Gonadal vein reflux using abdominal ultrasound was further evaluated in patients with unusual varices, defined as varices in the inguinal, inner or upper thigh and the vulvar area without refluxes in the saphenofemoral junction (SPJ). Those patients who showed gonadal vein reflux were diagnosed as having pelvic-origin varicosity.</p><p><strong>Results: </strong>Unusual varices were found in a total of 237 patients (3.8%), and of these patients, pelvic-origin varicosity was discovered with transabdominal ultrasound in 156 (65.8%). A total of 66.7% (n = 38/57) of unusual varix patients with pelvic pain had gonadal vein reflux. The measurement of gonadal vein diameter was larger in ultrasonography than CT scans (8.835 vs. 8.81, <i>p</i> < 0.001). Two patients with severe symptoms but no obstructive venous diseases were treated with gonadal vein embolization.</p><p><strong>Conclusion: </strong>The incidence of pelvic-origin varicosities was 2.5% (n = 156/6279). However, more than half of the patients with unusual varices had gonadal vein reflux and 24.4% of these patients also presented with pelvic pain. The evaluation of pelvic-origin varicosities should be performed in patients who present with unusual forms of varices of the lower extremity.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 7","pages":"1159-1167"},"PeriodicalIF":2.2,"publicationDate":"2024-07-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11280516/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141762515","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
Pericardial Calcification: An Uncommon Case with Intraventricular Extension. 心包钙化:心室内扩展的罕见病例
IF 2.2 4区 医学
Tomography Pub Date : 2024-06-29 DOI: 10.3390/tomography10070076
Miguel Santaularia-Tomas, Ely Sanchez-Felix, Kassandra Santos-Zaldivar, Allison Grosjean-Alvarez, Nina Mendez-Dominguez
{"title":"Pericardial Calcification: An Uncommon Case with Intraventricular Extension.","authors":"Miguel Santaularia-Tomas, Ely Sanchez-Felix, Kassandra Santos-Zaldivar, Allison Grosjean-Alvarez, Nina Mendez-Dominguez","doi":"10.3390/tomography10070076","DOIUrl":"10.3390/tomography10070076","url":null,"abstract":"<p><p>An 80-year-old man presented to the cardiology outpatient clinic due to shortness of breath. His past medical history included alcohol intake, hypertension, inferior wall myocardial infarction (five years ago), an ischemic stroke, and permanent atrial fibrillation (diagnosed three years before the current examination). A physical exam revealed a decreased intensity of S1 and S2, irregular rate and rhythm, and no murmurs nor friction rub. X-rays, Computed Tomography, and echocardiography exhibited pericardial calcification, involving mostly the inferior wall and protruding into the left ventricle. A diagnosis of constrictive pericarditis due to pericardial calcification was established and considered idiopathic. Even when it may be related to ischemic heart disease, post-infarction pericarditis could explain how the calcification extended to adjacent territory perfused by the circumflex coronary artery. Combined imaging studies were crucial not only for identifying calcium deposits in the pericardium but also in assessing a patient inherently prone to co-existing and exacerbating conditions. Even though pericardiectomy allows for removal of the clinical manifestations of congestive pericarditis in the most symptomatic patients with pericardial calcification, among patients like ours, with tolerable symptoms, cardiologists should discuss the therapeutic options considering the patient's choices, potentially including a rehabilitation plan as part of non-pharmacological management.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 7","pages":"1024-1030"},"PeriodicalIF":2.2,"publicationDate":"2024-06-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11281272/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141762513","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
Fat Fraction Extracted from Whole-Body Magnetic Resonance (WB-MR) in Bone Metastatic Prostate Cancer: Intra- and Inter-Reader Agreement of Single-Slice and Volumetric Measurements. 从全身磁共振(WB-MR)中提取骨转移前列腺癌患者的脂肪比例:单片和体积测量的读片机内部和读片机之间的一致性。
IF 2.2 4区 医学
Tomography Pub Date : 2024-06-28 DOI: 10.3390/tomography10070075
Giorgio Maria Agazzi, Nunzia Di Meo, Paolo Rondi, Chiara Saeli, Alberto Dalla Volta, Marika Vezzoli, Alfredo Berruti, Andrea Borghesi, Roberto Maroldi, Marco Ravanelli, Davide Farina
{"title":"Fat Fraction Extracted from Whole-Body Magnetic Resonance (WB-MR) in Bone Metastatic Prostate Cancer: Intra- and Inter-Reader Agreement of Single-Slice and Volumetric Measurements.","authors":"Giorgio Maria Agazzi, Nunzia Di Meo, Paolo Rondi, Chiara Saeli, Alberto Dalla Volta, Marika Vezzoli, Alfredo Berruti, Andrea Borghesi, Roberto Maroldi, Marco Ravanelli, Davide Farina","doi":"10.3390/tomography10070075","DOIUrl":"10.3390/tomography10070075","url":null,"abstract":"<p><strong>Background: </strong>This study evaluates the repeatability and reproducibility of fat-fraction percentage (FF%) in whole-body magnetic resonance imaging (WB-MRI) of prostate cancer patients with bone metastatic hormone naive disease.</p><p><strong>Methods: </strong>Patients were selected from the database of a prospective phase-II trial. The treatment response was assessed using the METastasis Reporting and Data System for Prostate (MET-RADS-P). Two operators identified a Small Active Lesion (SAL, <10 mm) and a Large Active Lesion (LAL, ≥10 mm) per patient, performing manual segmentation of lesion volume and the largest cross-sectional area. Measurements were repeated by one operator after two weeks. Intra- and inter-reader agreements were assessed via Interclass Correlation Coefficient (ICC) on first-order radiomics features.</p><p><strong>Results: </strong>Intra-reader ICC showed high repeatability for both SAL and LAL in a single slice (SS) and volumetric (VS) measurements with values ranging from 0.897 to 0.971. Inter-reader ICC ranged from 0.641 to 0.883, indicating moderate to good reproducibility. Spearman's rho analysis confirmed a strong correlation between SS and VS measurements for SAL (0.817) and a moderate correlation for LAL (0.649). Both intra- and inter-rater agreement exceeded 0.75 for multiple first-order features across lesion sizes.</p><p><strong>Conclusion: </strong>This study suggests that FF% measurements are reproducible, particularly for larger lesions in both SS and VS assessments.</p>","PeriodicalId":51330,"journal":{"name":"Tomography","volume":"10 7","pages":"1014-1023"},"PeriodicalIF":2.2,"publicationDate":"2024-06-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11280977/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141762512","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
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