Journal of Computer Assisted Tomography最新文献

{"title":"MRI Radiomics-Based Diagnosis of Knee Meniscal Injury.","authors":"Jing Liao, Ke Yu","doi":"10.1097/RCT.0000000000001759","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001759","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to explore a grading diagnostic method for the binary classification of meniscal tears based on magnetic resonance imaging radiomics. We hypothesize that a radiomics model can accurately grade meniscal injuries in the knee joint. By extracting T2-weighted imaging features, a radiomics model was developed to distinguish meniscal tears from nontear abnormalities.</p><p><strong>Materials and methods: </strong>This retrospective study included imaging data from 100 patients at our institution between May 2022 and May 2024. The study subjects were patients with knee pain or functional impairment, excluding those with severe osteoarthritis, infections, meniscal cysts, or other relevant conditions. The patients were randomly allocated to the training group and test group in a 4:1 ratio. Sagittal fat-suppressed T2-weighted imaging sequences were utilized to extract radiomic features. Feature selection was performed using the minimum Redundancy Maximum Relevance (mRMR) method, and the final model was constructed using the Least Absolute Shrinkage and Selection Operator (LASSO) regression. Model performance was evaluated on both the training and test sets using receiver operating characteristic curves, sensitivity, specificity, and accuracy.</p><p><strong>Results: </strong>The results showed that the model achieved area under the curve values of 0.95 and 0.94 on the training and test sets, respectively, indicating high accuracy in distinguishing meniscal injury from noninjury. In confusion matrix analysis, the sensitivity, specificity, and accuracy of the training set were 88%, 92%, and 87%, respectively, while the test set showed sensitivity, specificity, and accuracy of 89%, 82%, and 85%, respectively.</p><p><strong>Conclusions: </strong>Our radiomics model demonstrates high accuracy in distinguishing meniscal tears from nontear abnormalities, providing a reliable tool for clinical decision-making. Although the model demonstrated slightly lower specificity in the test set, its overall performance was good with high diagnostic capabilities. Future research could incorporate more clinical data to optimize the model and further improve diagnostic accuracy.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-04-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143982109","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Novel Deep Learning Reconstruction to Augment Contrast Enhancement: Initial Evaluation.","authors":"Corey T Jensen, Vincenzo K Wong, Gauruv S Likhari, Taher E Daoud, Roland Bassett, Sarah Pasyar, Yasuhiro Imai, Risa Shigemasa, Alicia M Roman-Colon, Ke Li, Xinming Liu","doi":"10.1097/RCT.0000000000001755","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001755","url":null,"abstract":"<p><strong>Objective: </strong>To assess image quality between single-energy CT (SECT) and dual-energy CT (DECT) scans compared with a novel deep learning (DL) reconstruction for SECT used to improve contrast enhancement.</p><p><strong>Methods: </strong>The raw data from a prior prospective HIPAA-compliant study (March through August 2022) was used to create a novel reconstruction in patients with biopsy-proven colorectal adenocarcinoma and liver metastases. Patients underwent 120 kVp SECT and DECT (50 keV reconstruction) abdominal scans in the portal venous phase in the same breath hold. Two readers independently assessed the scans.</p><p><strong>Results: </strong>The final study group was 13 men and 2 women with a mean age of 60 years ± 10, a mean height of 171 cm ± 8, a mean weight of 87 kg ± 23, and a mean body mass index of 30 kg/m2 ± 6. Liver, pancreas, spleen, psoas muscle, and aorta HUs were all significantly higher with the virtual DL reconstruction compared with the 120 kVp series, but significantly lower than the 50 keV series (P<0.05). Readers scored the DL reconstruction to have better contrast enhancement than the standard 120 kVp series and improved artifacts, noise texture, and resolution compared with the 50 keV series (P<0.05).</p><p><strong>Conclusions: </strong>Contrast enhancement with the new reconstruction is superior compared with the standard 120 kVp series approaching that of 50 keV DECT, but with improved perception of artifacts, noise texture, and resolution.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-04-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017038","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimizing Coronary CT Image Reconstruction With Deep Learning for Improved Quality: A Retrospective Study.","authors":"Agata Zdanowicz-Ratajczyk, Michał Puła, Adrian Korbecki, Arkadiusz Kacała, Maciej Guziński","doi":"10.1097/RCT.0000000000001746","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001746","url":null,"abstract":"<p><strong>Objective: </strong>To evaluate the impact of deep learning image reconstruction on image quality in CCTA compared with adaptive statistical iterative reconstruction (ASIR).</p><p><strong>Materials and methods: </strong>CCTA data sets from 100 consecutive patients with suspected CAD were acquired with a Revolution Apex 256-row CT scanner, reconstructed with ASIR-V and DLIR-H, and subsequently analyzed. Image noise, SNR, and CNR in five regions of interest (25 mm) were calculated and t tested. The normality of quantitative variables was assessed using the Shapiro-Wilk test. For non-normally distributed data, the Mann-Whitney U test was applied. The concordance of HU values within specific ROIs was analyzed with Bland-Altman plots. Correlation between ASIR-V and DLIR-H was conducted using the Spearman rank correlation test.Subjective image analysis was conducted using a 5-point scale to evaluate noise level, vascular enhancement smoothness, artifact reduction, and diagnostic confidence. Intraclass correlation (ICC) was used to assess the reliability and consistency of subjective ratings among the reader.</p><p><strong>Results: </strong>DLIR-H significantly reduced image noise across all ROIs (from 15% to 41%, all P<0.05), compared with ASIR-V. Mean SNR (ASIR-V vs. DLIR-H) were septum=4.3±1.7 versus 6.4±2.2; cavity of the left ventricle=24.3±8.3 versus 36.6±11.7; CNR: septum=8.2±2.5 versus 12.4±3.5; cavity of left ventricle= 28.2±9.1 versus 42.5±13.0. Spearman rank correlation ranged from 0.64 to 0.79 (P<0.05). Bland-Altman analysis showed good agreement between ASIR-V and DLIR-H, with no discernible patterns. Subjectively, DLIR-H significantly outperformed ASIR-V across all evaluated criteria (all P<0.05). ICC values indicated strong agreement among readers, demonstrating excellent reliability for most criteria and good reliability for vascular enhancement smoothness.</p><p><strong>Conclusions: </strong>DLIR-H significantly improved CCTA image quality compared with ASIR-V, which contributes to a more accurate diagnosis in patients with suspected CAD.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144017572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Ultrasound-MRI Agreement in Individuals Undergoing Surveillance of Fontan-associated Liver Disease.","authors":"Harris Wang, Derek Rubadeux, Andrew T Trout, Cara E Morin, Alexander R Opotowsky, Alexandra Glenn, Joseph J Palermo, Khurram Bari, Jonathan R Dillman","doi":"10.1097/RCT.0000000000001751","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001751","url":null,"abstract":"<p><strong>Objective: </strong>To assess agreement between abdominal ultrasound and MRI for the detection of focal liver lesions and manifestations of portal hypertension in patients with Fontan circulation.</p><p><strong>Materials and methods: </strong>To perform this single-center, retrospective study, we identified patients with Fontan circulation who underwent clinical abdominal ultrasound and MRI examinations within ±12 months between January 1, 2018 and June 30, 2023. Imaging reports were reviewed for the presence of liver lesions (specifically noting lesions >1 cm and radiologist-indicated suspicious lesions), features of portal hypertension (ie, presence of ascites and spleen length), abnormal liver contour, and liver stiffness. Intermodality agreement, sensitivity and specificity of ultrasound relative to MRI, and Spearman correlation were used to compare ultrasound and MRI measurements. Follow-up of detected lesions was also performed using electronic health records.</p><p><strong>Results: </strong>There were 58 patients included. Agreement between MRI and ultrasound for the findings of Fontan-associated liver disease (FALD) was as follows: presence of a liver lesion of any size [k = 0.20 (95% CI: 0.08 to 0.32)], presence of a liver lesion >1 cm [k = 0.43 (95% CI: 0.18 to 0.68)], radiologist-indicated suspicious liver lesion(s) [k = 0.07 (95% CI: -0.13 to 0.27)], presence of ascites [k = 0.57 (95% CI: 0.32 to 0.81)], abnormal liver contour [k = 0.31 (95% CI: 0.03 to 0.59)], and spleen length [intraclass correlation coefficient = 0.81 (95% CI: 0.58 to 0.92)]. Sensitivity and specificity of ultrasound using MRI as the reference standard were as follows: 34% (95% CI: 20% to 50%) and 100% (95% CI: 77% to 100%) for the presence of a liver lesion of any size, and 39% (95% CI: 17% to 64%) and 98% (95% CI: 87% to 100%) for the presence of a liver lesion >1 cm. There was a poor correlation between ultrasound and MRI liver stiffness measurements [rho = 0.22 (95% CI: -0.14 to 0.53); P = 0.23]. Of 44 patients with liver lesions, 3 (6.8%) had biopsy-confirmed hepatocellular neoplasms, including 2 adenomas and 1 hepatocellular carcinoma. All 3 lesions were detected by both MRI and ultrasound.</p><p><strong>Conclusions: </strong>There is poor to fair agreement between ultrasound and MRI for detecting manifestations of FALD, with ultrasound having poor sensitivity compared with MRI. While ultrasound detected all 3 clinically important liver lesions in our study, our results raise questions about whether ultrasound is an appropriate screening tool for FALD in patients post-Fontan.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752992","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Preoperative and Postoperative CT Imaging Assessment of Obstructive Sleep Apnea.","authors":"Mathew Illimoottil, Anasuya Bhattacharyya, Daniel Thomas Ginat","doi":"10.1097/RCT.0000000000001748","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001748","url":null,"abstract":"<p><p>Obstructive sleep apnea (OSA) can result from various causes of partial or complete obstruction of the upper airway. CT is amenable to quantitative analysis of the upper airway and surrounding structures. CT is also useful for identifying abnormalities that could be attributed to the patient's symptoms and is relevant for surgical planning. There are various surgical procedures that can be performed for OSA that can also be encountered on CT. The relevant anatomic measurements, imaging features of various pathologies that can affect the upper airway, and postoperative imaging for OSA are reviewed in this article.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multiregional Radiomics to Predict Microvascular Invasion in Hepatocellular Carcinoma Using Multisequence MRI.","authors":"Mengying Dong, Feng Chen, Weiyuan Huang, Yuting Liao, Wenzhu Li, Xiaoyi Wang, Shishi Luo","doi":"10.1097/RCT.0000000000001752","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001752","url":null,"abstract":"<p><strong>Objectives: </strong>This study aimed to develop a multiregional radiomics-based model using multisequence MRI to predict microvascular invasion in hepatocellular carcinoma.</p><p><strong>Methods: </strong>We enrolled 141 patients with hepatocellular carcinoma, including 61 with microvascular invasion, who were diagnosed between March 2017 and July 2022. Clinical data were compared using the Wilcoxon rank-sum test or χ2 test. Patients were randomly divided into training (n=112, 80%) and test (n=29, 20%) data sets. Four MRI sequences-including T2-weighted imaging, T2-weighted imaging with fat suppression, arterial phase-contrast enhancement, and portal venous phase contrast enhancement-were used to build the radiomics model. The tumor volumes of interest were manually delineated, and the expand-5 mm and expand-10 mm volumes of interest were automatically generated. A total of 1409 radiomic features were extracted from each volume of interest. Feature selection was performed using the least absolute shrinkage and selection operator and Spearman correlation analysis. Three logistic regression models (Tumor, Tumor-Expand5, and Tumor-Expand10) were established based on the radiomic features. Model performance was assessed using receiver operating characteristic analysis and Delong's test.</p><p><strong>Results: </strong>Maximum tumor diameter, hepatitis B virus DNA, and aspartate aminotransferase levels were significantly different between the groups. The Tumor-Expand5mm model exhibited the best performance among the 3 models, with areas under the curve of 0.90 and 0.84 in the training and test data sets.</p><p><strong>Conclusions: </strong>The Tumor-Expand5 model based on multisequence MRI shows great potential for predicting microvascular invasion in patients with hepatocellular carcinoma, and may further contribute to personal clinical decision-making.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Baseline Brain Volumes Predict Future Brain Atrophy in Mild Cognitive Impairment: A Tensor-based Morphometry Study of the Alzheimer Continuum.","authors":"Mehrdad Mozafar, Mobina Amanollahi, Mohammad Sadeghi, Ali Rafati, Seyyed Sina Hejazian, Faraz Jelodar, Negar Khodadadi, Artemis Kohanfekr, Arash Kamali","doi":"10.1097/RCT.0000000000001744","DOIUrl":"10.1097/RCT.0000000000001744","url":null,"abstract":"<p><strong>Objective: </strong>Prognostic evaluation of patients with mild cognitive impairment (MCI) is of great importance, and magnetic resonance imaging, as a readily available modality, can play a pivotal role in this field.</p><p><strong>Methods: </strong>Using the Alzheimer Disease Neuroimaging Initiative database, we conducted a retrospective longitudinal study of the associations between volumetric brain magnetic resonance imaging and cognitive composite scores in all domains (memory, executive function, language, and visuospatial) with annual whole-brain atrophy based on tensor-based morphometry (TBM) scores among patients with MCI and healthy controls (HCs). The Reliable Change Index was further used to categorize patients into 2 groups including (1) patients with meaningful 1-year reliable cognitive changes [reliable change (RC) group] and (2) patients without (non-RC).</p><p><strong>Results: </strong>One hundred thirty-seven patients with MCI and 132 HCs were enrolled. The 2 groups showed no significant differences in age, sex, and apolipoprotein E4 expression ( P > 0.05). Based on the TBM score, patients with MCI had more significant 1-year brain volume loss than HCs ( P < 0.001). After multiple comparison corrections, the 1-year TBM atrophy score was positively correlated with baseline whole brain ( P = 0.03), hippocampus ( P < 0.0001), entorhinal ( P < 0.0001), and middle temporal ( P < 0.0001) volumes among MCI patients, indicating that lower volumes in these regions were associated with greater 1-year atrophy rates. Regression analyses showed a positive correlation between baseline and 1-year memory composite scores and annual brain atrophy rate in MCI patients ( P = 0.01, 0.04), demonstrating that lower cognitive scores were associated with a greater annual atrophy rate. However, the correlations no longer held significance after correction for multiple comparison ( P = 0.05, 0.17). MCI participants with RCs in language composite scores initially had significantly greater brain atrophy than those without ( P = 0.03, corrected P = 0.06). However, TBM scores showed no significant differences between RC and non-RC groups for other composite scores ( P > 0.05).</p><p><strong>Conclusions: </strong>Lower baseline volumes in multiple brain regions of MCI are associated with greater annual brain volume loss based on TBM, suggesting TBM as a potential imaging marker for conventional volumetric studies in MCI. Further research is needed to explore the link between cognitive scores and the application of Reliable Change Index in TBM imaging across the Alzheimer disease spectrum.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-03-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Identification of Biliary Atresia in Infantile Cholestasis: Integrating Radiomics With MRCP for Unobservable Extrahepatic Biliary Systems.","authors":"Jianning Hou, Weiqiang Xiao, Siyin Zhou, Hongsheng Liu","doi":"10.1097/RCT.0000000000001729","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001729","url":null,"abstract":"<p><strong>Purpose: </strong>Magnetic resonance cholangiopancreatography (MRCP) may assist in the workup of infantile cholestasis as nonvisualization of the biliary tree is seen with biliary atresia (BA). However, this finding can also be seen with other causes of infantile cholestasis. The purpose of this study is to differentiate BA from other causes of infantile cholestasis using a classification tool integrating MRCP-based radiomics and clinical signatures in patients with nonvisualization of the extrahepatic biliary tree on MRCP.</p><p><strong>Methods: </strong>Data from infants with cholestasis due to BA, cytomegalovirus infection, or idiopathic neonatal hepatitis (INH) from 2 sites was collected. Radiomics features from MRCP images were selected using Spearman and LASSO methods, followed by applying the optimal machine learning model to develop a radiomics signature. Clinical factors showing significant differences between BA and non-BA groups in training cohort were used to develop a clinical signature using the model. A nomogram model incorporating the signatures was developed. The nomogram model and signatures' performance were assessed using the area under the curve (AUC), accuracy, sensitivity, specificity, precision, and F1 score. The DeLong test, decision curve analysis (DCA), calibration curves, and the Hosmer-Lemeshow test were utilized to evaluate the nomogram model.</p><p><strong>Results: </strong>The training cohort consisted of 112 cases (62 BA and 50 non-BA) from site 1, while the external validation cohort included 35 cases (20 BA and 15 non-BA) from site 2. After screening, 2 clinical factors and 8 radiomics features were included. The signatures were fitted using the K-Nearest Neighbors model. The nomogram model showed an AUC of 0.981 in the training cohort and 0.913 in the external validation cohort, significantly outperforming both the signatures in the training cohort and the clinical signature in the external validation cohort, as confirmed by the DeLong test. The DCA indicated the clinical utility of the model. The Calibration curves and the Hosmer-Lemeshow test confirmed the model's adequate fit.</p><p><strong>Conclusion: </strong>The nomogram model may hold clinical utility. In our cohorts, it was effective for identifying BA among cases with infantile cholestasis attributed to BA, cytomegalovirus infection, or INH in scenarios where the extrahepatic biliary system is not visualized on MRCP.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752985","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of High-risk (B3) Breast Lesions on MRI: The Role of Diffusion-weighted Imaging and Texture Analysis Features in Predicting Upgrade to Malignancy.","authors":"Tahsin Aybal, Onur Buğdayci, Erkin Aribal, Handan Kaya, Mustafa Ümit Uğurlu, Can Ilgin","doi":"10.1097/RCT.0000000000001745","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001745","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to investigate the potential malignancy associated with high-risk breast lesions using breast magnetic resonance imaging (MRI) characteristics, apparent diffusion coefficient (ADC) measurements, and texture analysis parameters.</p><p><strong>Methods: </strong>This retrospective study included 40 patients with 41 lesions diagnosed as high-risk lesions after needle biopsy. All the patients underwent surgery. Based on the histopathologic results of the surgical excision, the patients were divided into 2 groups: those diagnosed with malignancy and those who were not. The MRI characteristics of the lesions were recorded. The ADC values of the lesions were measured. Textural analysis of the lesions was also performed.</p><p><strong>Results: </strong>Fourteen lesions (34.1%) were upgraded to malignancy. The median ADCmean values ​​in the malignant group were 1.114 × 10-3 versus 1.383×10-3 mm2/s in the nonmalignant group, which was statistically significant (P < 0.001). The cutoff value for the mean ADC was 1.163 ×10-3 mm2/s. The sensitivity and specificity were 71.4% and 85.2%, respectively. Among the texture analysis parameters, kurtosis values obtained from images on the ADC map and the first subtracted dynamic contrast-enhanced (DCE) series and contrast values obtained from images on the second subtracted DCE series were found to be statistically significant (P = 0.016, P = 0.019, and P = 0.045, respectively) between the malignant and nonmalignant groups.</p><p><strong>Conclusions: </strong>ADC measurements and texture analysis parameters provide useful diagnostic information for determining which high-risk breast lesions will progress to malignancy.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Altered Interhemispheric Functional Connectivity in Patients With Diabetic Retinopathy: A Resting-State Functional MRI Study.","authors":"Weiqi Ji, Yaqi Song, Fei Liu, Yu Lu, Xiaoqiang Fei, Jinhua Chen, Hongxia Zhang, Jianguo Xia, Weizhong Tian","doi":"10.1097/RCT.0000000000001740","DOIUrl":"https://doi.org/10.1097/RCT.0000000000001740","url":null,"abstract":"<p><strong>Objective: </strong>Cognitive impairment is a prevalent complication among patients with diabetes mellitus. It tends to be more prominent in patients with diabetic retinopathy (DR) compared with patients with diabetes without DR (NDR). However, the functional connectivity (FC) between bilateral cerebral hemispheres in both remains poorly understood. This study aimed to investigate altered brain connectivity in patients with DR and NDR.</p><p><strong>Subjects and methods: </strong>We selected 26 patients with DR, 30 patients with NDR, and 30 healthy controls (HCs) to participate in resting-state functional magnetic resonance imaging (rs-fMRI) and high-resolution T1-weighted structural scans. We employed the DPABI toolbox in MATLAB to preprocess the acquired images and applied voxel-mirrored homotopic connectivity (VMHC) and FC analysis methods to estimate differences among the 3 groups. The patients also underwent neuropsychological assessment scales. We utilized partial correlation analysis to explore the associations between aberrant connections and clinical variables as well as neuropsychological characteristics in patients with DR. Receiver operating characteristic (ROC) analysis was conducted to assess the diagnostic performance of VMHC values in distinct brain regions for differentiating DR patients from NDR patients.</p><p><strong>Results: </strong>The results showed significantly altered VMHC values across the 3 groups, including bilateral lingual gyrus (LING_B), superior temporal gyrus (STG_B), and postcentral gyrus (PoCG_B). Significant differences in FC values were found across the LING_B, right cuneus (CUN_R), STG_R, PoCG_B, right precentral gyrus (PreCG_R), right precuneus (PCUN_R), and middle temporal gyrus (MTG_L) among the 3 groups. Moreover, a negative correlation was noted between the VMHC values of LING_B and disease duration in patients with DR. Positive correlations were detected between FC values in PoCG_B and fasting blood glucose (FBG) levels. Furthermore, ROC analysis of the VMHC values demonstrated that combining all the differential regions achieved the highest area under the curve of 0.826.</p><p><strong>Conclusions: </strong>Significant alterations in VMHC and FC may reflect the underlying neuropathology of cognitive dysfunction in DR and NDR. These altered connectivity patterns could serve as neuroimaging biomarkers, offering insights into the early diagnosis and intervention of cognitive impairments in DR patients.</p>","PeriodicalId":15402,"journal":{"name":"Journal of Computer Assisted Tomography","volume":" ","pages":""},"PeriodicalIF":1.0,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143752967","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}