Quantitative Imaging in Medicine and Surgery最新文献

{"title":"Altered voxel-wise degree centrality of brain networks in patients with chronic rhinosinusitis: a resting-state functional magnetic resonance imaging study.","authors":"Simin Lin, Miaomiao Nie, Bingshan Wang, Qianwen Huang, Hao Zheng, Zhishang Chen, Shaoyin Duan, Hengyu Zhao, Yi Han","doi":"10.21037/qims-24-1680","DOIUrl":"10.21037/qims-24-1680","url":null,"abstract":"<p><strong>Background: </strong>Chronic rhinosinusitis (CRS) is a chronic inflammatory disorder of the paranasal sinus and nasal cavity. Previous studies have demonstrated that patients with CRS have an increased risk of emotional and cognitive disorders. Although neuroimaging studies have identified brain alterations in CRS, the specific etiology of these neurological changes remains unclear. This study thus examined the abnormal brain networks in patients with CRS through use of a voxel-wise degree centrality (DC) approach.</p><p><strong>Methods: </strong>In this cross-sectional study, 26 patients with CRS and 38 healthy controls (HCs) were enrolled for resting-state functional magnetic resonance imaging (rs-fMRI) scans. The DC value was calculated and correlated with clinical symptoms and with anxiety and depression scores in the CRS group. Moreover, receiver operating characteristic (ROC) curve analysis was used to evaluate the diagnostic utility of DC in distinguishing patients from HCs.</p><p><strong>Results: </strong>Compared with HCs, patients with CRS had decreased DC values in the right precuneus and increased DC values in the left inferior temporal gyrus (ITG) (P<0.05, false-discovery rate corrected). In addition, a positive correlation was identified between the DC values in the left ITG and disease duration (R=0.5317; P=0.0052). ROC curves analysis indicated that the DC values in the right precuneus [area under the curve (AUC) =0.7945] and left ITG (AUC =0.7915) had significant diagnostic accuracy, indicating their potential utility as imaging biomarkers for CRS.</p><p><strong>Conclusions: </strong>Altered DC in the right precuneus and the left ITG may play important roles in the pathological changes underlying CRS-related brain dysfunction.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"8505-8514"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397695/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978441","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Diagnostic and clinical value of multiparameter magnetic resonance imaging in cesarean scar pregnancy: a comparative study of sequence combinations.","authors":"Xin-Lin Yao, Chun-Rong Wei, Yao-Yun Zhang, Si-Le Yin, Jian-Bo Wu, Jian-Yi Huang, Hong-Tao Liu, Mei-Ning Chen","doi":"10.21037/qims-2024-2589","DOIUrl":"10.21037/qims-2024-2589","url":null,"abstract":"<p><strong>Background: </strong>Cesarean scar pregnancy (CSP) is a special form of ectopic pregnancy that lacks specific clinical manifestations. Artificially induced abortion may lead to severe complications such as massive bleeding and even uterine rupture, posing a threat to the safety of pregnant women. Magnetic resonance imaging (MRI) has potential advantages in evaluating CSP. This study aimed to analyze the value of MRI with different combinations of sequences in diagnosing CSP following a cesarean section and to evaluate the clinical value of MRI in classifying CSP.</p><p><strong>Methods: </strong>We conducted a retrospective analysis on the clinical and imaging data of 80 patients with suspected CSP on ultrasound examination. The MRI data of all patients were divided into four combinations: combination A, T1-weighted imaging (T1WI) + T2-weighted imaging (T2WI); combination B, T1WI + T2WI + diffusion-weighted imaging (DWI); combination C, T1WI + T2WI + dynamic contrast-enhanced (DCE) MRI; and combination D, T2WI + DWI + DCE-MRI. The differences between these MRI sequence combinations were compared. Imaging features were observed, recorded, and used for MRI classification. Differences in imaging features between MRI classifications were also compared to determine their clinical significance.</p><p><strong>Results: </strong>Of the 80 cases confirmed by postoperative pathology, 67 (83.75%) were CSP. The area under the curve for the combinations C and D was larger (0.966 and 0.979, respectively) than that for combination A (0.883). The sensitivity, specificity, positive predictive value, and negative predictive value for combinations C and D were higher (combination C: sensitivity 98.51%, specificity 92.31%, positive predictive value 98.53%, and negative predictive value 92.31%; combination D: sensitivity 95.52%, specificity 92.31%, positive predictive value 98.46%, and negative predictive value 80.00%). The distribution of CSP type I (filled type), type II (partially filled type), and type III (covered type) was 19.40%, 59.70%, and 20.90%, respectively. There was no statistically significant difference in the length of the contact surface between the gestational sac and the scar among the MRI-type groups (H =0.012; P=0.994). However, the minimum thickness of the scar at the implantation site of type I was less than that in type II (H =-16.192; P=0.028), and the area of the gestational sac in the sagittal position was smaller in type I than in type III (H =-24.467; P=0.003).</p><p><strong>Conclusions: </strong>The preferred MRI sequence combination for diagnosing CSP should be T2WI + DWI + DCE-MRI. MRI can effectively visualize the relationship between the gestational sac and the incisional diverticulum in CSP and facilitate imaging-based staging.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"8282-8291"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397649/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978662","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The correlation between preoperative total lesion glycolysis and lymphovascular invasion based on ¹⁸F-FDG PET/CT and its predictive value in primary gastric cancer: a cross-sectional study.","authors":"Xiu-Qing Xue, Xiao-Feng Li, Xun Shi, Yue-Tao Wang","doi":"10.21037/qims-2025-644","DOIUrl":"10.21037/qims-2025-644","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Lymphovascular invasion (LVI) is a critical factor in the lymphatic spread of tumor cells, and is closely associated with local recurrence and distant metastasis in gastric cancer. The study aimed to evaluate the correlation and predictive value of preoperative total lesion glycolysis (TLG) in patients with primary gastric cancer as measured by a combination of &lt;sup&gt;18&lt;/sup&gt;F-labeled fluoro-2-deoxyglucose (&lt;sup&gt;18&lt;/sup&gt;F-FDG) positron emission tomography (PET) and computed tomography (CT) for LVI.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A retrospective analysis of the demographic and &lt;sup&gt;18&lt;/sup&gt;F-FDG PET/CT data of 177 patients with gastric cancer diagnosed by postoperative pathology at The Third Affiliated Hospital of Soochow University between January 2014 and August 2021 was conducted. The cohort comprised 124 males and 53 females. The &lt;sup&gt;18&lt;/sup&gt;F-FDG PET/CT data analyzed included the primary lesion location and size, lymph node metastasis (LNM) status, and metabolic parameters [i.e., the maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), metabolic tumor volume (MTV), and TLG]. The patients were categorized into LVI-positive (LVI+) and LVI-negative (LVI-) groups based on postoperative pathological findings. Differences in the clinical data between the two groups were analyzed. Univariate and multivariate logistic regression models were employed to assess the correlation between preoperative TLG and LVI. A generalized additive model (GAM) was applied for curve fitting, and receiver operating characteristic (ROC) curves were plotted to evaluate the predictive efficacy of preoperative TLG for LVI.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Among the 177 patients, 71 (40.1%) were LVI+, and 106 (59.9%) were LVI-. Significant differences were observed between the two groups in terms of the primary lesion size, LNM status, age, SUVmax, SUVmean, MTV, and TLG (all P&lt;0.05 or P&lt;0.001). A per standard deviation (SD) increase in TLG was associated with a 59.1% increased risk of LVI [odds ratio (OR) =1.591; 95% confidence interval (CI): 1.142-2.216; P=0.006]. After adjusting for confounders, TLG remained significantly associated with an increased risk of LVI (OR per SD: 1.428; 95% CI: 1.018-2.002; P=0.039). Treating TLG as a categorical variable produced consistent results (P for trend =0.014). In the clinical lymph node metastasis positive (cLNM+) subgroup, a TLG value ≥53.3 predicted LVI with a sensitivity of 81.4% (35/43), a specificity of 37.8% (14/37), and an accuracy of 61.3% (49/80). In the clinical lymph node metastasis negative (cLNM-) subgroup, a TLG value ≥41.9 predicted LVI with a sensitivity of 82.1% (23/28), a specificity of 53.6% (37/69), and an accuracy of 61.9% (60/97).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;Preoperative TLG exhibits a positive linear correlation with the risk of LVI in primary gastric cancer. TLG shows high sensitivity for predicting LVI, making it a valuable imaging biomar","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"7738-7748"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397669/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978670","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Classification of mitral regurgitation in echocardiography based on deep learning methods.","authors":"Helin Huang, Zhenyi Ge, Hairui Wang, Jing Wu, Chunqiang Hu, Nan Li, Xiaomei Wu, Cuizhen Pan","doi":"10.21037/qims-2025-120","DOIUrl":"10.21037/qims-2025-120","url":null,"abstract":"<p><strong>Background: </strong>The classification of mitral regurgitation (MR) based on echocardiography is highly dependent on the expertise of specialized physicians and is often time-consuming. This study aims to develop an artificial intelligence (AI)-assisted decision-making system to improve the accuracy and efficiency of MR classification.</p><p><strong>Methods: </strong>We utilized 754 echocardiography videos from 266 subjects to develop an MR classification model. The dataset included 179 apical two-chamber (A2C), 206 apical three-chamber (A3C), and 369 apical four-chamber (A4C) view videos. A deep learning neural network, named ARMF-Net, was designed to classify MR into four types: normal mitral valve function (NM), degenerative mitral regurgitation (DMR), atrial functional mitral regurgitation (AFMR), and ventricular functional mitral regurgitation (VFMR). ARMF-Net incorporates three-dimensional (3D) convolutional residual modules, a multi-attention mechanism, and auxiliary feature fusion based on the segmentation results of the left atrium and left ventricle. The dataset was split into 639 videos for training and validation, with 115 videos reserved as an independent test set. Model performance was evaluated using precision and F1-score metrics.</p><p><strong>Results: </strong>At the video level, ARMF-Net achieved an overall precision of 0.93 on the test dataset. The precision for DMR, AFMR, VFMR, and NM was 0.886, 0.81, 1, and 1, respectively. At the participant level, the highest precision was 0.961, with precision values of 1.0, 1.0, 0.846, and 1.0 for DMR, AFMR, VFMR, and NM, respectively. The model can make classifications within seconds, significantly reducing the time and labor required for diagnosis.</p><p><strong>Conclusions: </strong>The proposed model can identify NM and three types of MR in echocardiography videos, providing a method for the automated auxiliary analysis and rapid screening of echocardiogram images in clinical practice.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"7847-7861"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397662/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978600","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between brain iron deposition and pure apathy in Parkinson's disease: a cross-sectional quantitative susceptibility mapping imaging study.","authors":"Li Zhang, Kaidong Chen, Yan Zhi, Wei Ji, Guofeng Shi, Yiping You, Feng Wang, Kefei Chen, Tian Xu, Xiangming Fang","doi":"10.21037/qims-2024-2626","DOIUrl":"10.21037/qims-2024-2626","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Apathy, a decline in goal-directed motivated behavior, is a common non-motor symptom (NMS) in Parkinson's disease (PD). Previous studies have suggested that PD patients with apathy exhibit increased iron levels in the cerebrospinal fluid (CSF) and the iron levels are positively correlated with the severity of apathy, indicating that apathy in PD may be related with brain iron accumulation. Specifically, quantitative susceptibility mapping (QSM), an emerging brain magnetic resonance imaging (MRI) technique, can be used to sensitively detect the iron deposition in the brain &lt;i&gt;in vivo&lt;/i&gt;, to reflect the neurodegeneration processes. This study thus used QSM to detect the brain iron deposition in PD with pure apathy (PD-PA) and examined apathy symptoms-related regional brain iron deposition, and aimed to explore the underlying mechanism of neurodegeneration of PD-PA.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;A total of 29 patients with PD-PA, 33 PD without pure apathy (PD-NPA), and 32 healthy controls (HCs) were collected. All participants underwent three-dimensional T1-weighted imaging (3DT1) and QSM scans. The susceptibility values of PD-PA, PD-NPA, and HC groups were compared at whole brain voxel-wise level and the region of interest (ROI)-wise level, respectively. Moreover, correlation analysis between apathy symptoms and brain iron deposition was further performed in the PD-PA group.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Relative to the HCs, patients with PD demonstrated increased susceptibility values (consistent with higher brain tissue iron deposits) in substantia nigra pars compacta (SNc) and ventral tegmental area (VTA) of the midbrain [P&lt;sub&gt;false discovery rate (FDR)&lt;/sub&gt;&lt;0.05]. Further PD subgroup analysis suggested that compared with HCs, patients with PD-NPA showed increased iron deposition in the right medial superior frontal gyrus (SFGmed), whereas those with PD-PA exhibited more extensive increased iron deposition in SFGmed, extending to bilateral SFGmed [voxel-level P&lt;0.001, cluster-level P&lt;sub&gt;family-wise error (FWE)&lt;/sub&gt;&lt;0.05]. The Apathy Scale (AS) score was positively correlated with the mean susceptibility values of the left SFGmed in the PD-PA group (r=0.651, P=0.001). In the PD-PA group, voxel-wise whole-brain correlation analysis found a positive correlation between the AS score and the susceptibility values in the left SFGmed, left anterior cingulate cortex (ACC), right thalamus, as well as the right superior temporal gyrus (STG) (voxel-level P&lt;0.001, cluster-level P&lt;sub&gt;FWE&lt;/sub&gt;&lt;0.05).&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;In patients with PD-PA, brain regions associated with brain iron deposition were mainly located in the \"mesocorticolimbic loop\" (SFGmed and ACC), as well as the STG and thalamus. The present study suggested that abnormal iron deposition in these core brain regions may be associated with abnormal top-down and bottom-up neuroregulation and involved in the mechanism of PD apathy. The pres","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"8292-8308"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397670/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Feasibility and reliability of high-resolution phase-contrast quantitative-flow magnetic resonance imaging for assessing femoral head blood flow: a prospective study.","authors":"Zhenhong Liao, Zhouxuan Wang, Chun Ma, Mengqi Huang, Xiaoyong Zhang, Chengmiao Deng, Lin Chen, Jiayu Sun","doi":"10.21037/qims-2025-411","DOIUrl":"10.21037/qims-2025-411","url":null,"abstract":"<p><strong>Background: </strong>The early identification of abnormal blood supply to the femoral head is crucial for timely intervention. High-resolution phase-contrast quantitative-flow (Q-flow) magnetic resonance imaging (MRI) is a promising non-invasive technique for quantitatively assessing blood flow to the femoral head. This study aimed to evaluate the feasibility and reliability of Q-flow in quantifying blood flow to the femoral head.</p><p><strong>Methods: </strong>This prospective study included 10 healthy volunteers (mean age =35±8.38 years, 6 women), 10 women with systemic lupus erythematosus (SLE), who were using corticosteroids (mean age =36.1±5.47 years), and 10 age-matched healthy women for the SLE patients, who served as controls (mean age =36.2±4.83 years). Q-flow scans were performed on all the participants from October 2023 to August 2024. Q-flow reliability, including retest reliability between scans, and intra- and inter-rater reliability, was evaluated using data from the healthy volunteers. Further, the efficacy of Q-flow was evaluated by comparing the quantification data between the SLE and control groups.</p><p><strong>Results: </strong>Q-flow showed good-to-excellent reliability for the arterial flow parameters [intra-class correlation coefficient (ICC): 0.61-1], except for the regurgitant fraction (RF; ICC: 0.01-0.97). Q-flow also showed good-to-excellent reliability for the vein flow parameters (ICC: 0.63-1), except for the retest reliability of the RF (ICC: 0.04-0.9), mean velocity (MV; ICC: 0.46-0.84), and peak systolic velocity (PSV; ICC: 0.5-0.73). Compared with the controls, the SLE patients had significantly reduced arterial flow in the medial femoral circumflex artery (MFCA) [stroke and stroke distance (SD), P=0.01 and P<0.01], lateral femoral circumflex artery (LFCA) [stroke, mean flux (MF), SD, MV, and PSV, all P<0.01], and deep MFCA (stroke, MF, SD, MV, and PSV, all P<0.01).</p><p><strong>Conclusions: </strong>The high-resolution phase-contrast Q-flow technique exhibited acceptable reliability and the capacity to detect early changes in arterial blood flow to the femoral head, highlighting its potential clinical applicability.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"8137-8152"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397661/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978626","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Robotic-assisted laparoscopic transposition of the left renal vein with three-dimensional image reconstruction for treatment of pediatric nutcracker syndrome: a case description and literature analysis.","authors":"Xiaoyu Yi, Tian Tao, Xiaoguang Zhou, Lifei Ma, Yuandong Tao, Yichuan Wang, Hengyu Gao, Xiaoli Shen, Hualin Cao, Pin Li, Huixia Zhou","doi":"10.21037/qims-2025-260","DOIUrl":"10.21037/qims-2025-260","url":null,"abstract":"","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"8709-8716"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397699/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978673","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantitative analysis of macular and optic disc microvascular parameters in patients with immunoglobulin A nephropathy using optical coherence tomography angiography.","authors":"Chen Qiu, Guihong Wu, Xueqin Zhang, Ting Kang, Dongmei Zhang, Mengxia Cao, Shuhan Zeng, Rui Wang, Tianyu Yao, Jie Chen, Santao Ou, Yue He","doi":"10.21037/qims-24-2113","DOIUrl":"10.21037/qims-24-2113","url":null,"abstract":"<p><strong>Background: </strong>Immunoglobulin A nephropathy (IgAN) is a common chronic glomerulonephritis. The kidneys and eyes have structural and developmental similarities, but ocular microvascular changes in IgAN, especially in the macular and optic disc, are poorly studied. This study aimed to assess these microvascular parameters in IgAN patients using optical coherence tomography (OCT) and OCT angiography (OCTA) and explore their associations with clinical data.</p><p><strong>Methods: </strong>This is a case-control study. Fifteen patients with IgAN and 15 healthy controls (HCs) who attended The Affiliated Hospital of Southwest Medical University between July 2022 and December 2023 were selected. OCT and OCTA were used to assess macular thickness, retinal nerve fiber layer (RNFL) thickness, the vascular density (VD) and perfusion density (PD) of macular and optic disc, and foveal avascular zone (FAZ). In addition, we analyzed the association between OCT and OCTA parameters and clinical data in patients with IgAN.</p><p><strong>Results: </strong>VD and PD were significantly lower in the macular area in the IgAN group than the HCs (VD: 18.270±0.683 <i>vs.</i> 18.943±0.357, P<0.001; PD: 0.447±0.019 <i>vs.</i> 0.464±0.009, P<0.001). VD and PD in the macular area were negatively correlated with urine protein levels (VD: ρ=-0.604, P=0.017; PD: ρ=-0.551, P=0.033) and urine microalbumin levels (VD: ρ=-0.762, P=0.001; PD: ρ=-0.751, P=0.001). The FAZ area was positively correlated with 24-h urine volume (ρ=0.651, P=0.009).</p><p><strong>Conclusions: </strong>Compared with HCs, the status of macular microcirculation in the IgAN group was significantly decreased, and some microvascular parameters were significantly correlated with the clinical data.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"7803-7819"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397639/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978723","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prediction of lymphovascular invasion in invasive breast cancer via intratumoral and peritumoral multiparametric magnetic resonance imaging machine learning-based radiomics with Shapley additive explanations interpretability analysis.","authors":"Siyi Chen, Zhidan Zhong, Yongxin Chen, Wenjie Tang, Yaheng Fan, Yi Sui, Wenke Hu, Liwen Pan, Shuang Liu, Qingcong Kong, Yuan Guo, Weifeng Liu","doi":"10.21037/qims-2024-2685","DOIUrl":"10.21037/qims-2024-2685","url":null,"abstract":"<p><strong>Background: </strong>The use of multiparametric magnetic resonance imaging (MRI) in predicting lymphovascular invasion (LVI) in breast cancer has been well-documented in the literature. However, the majority of the related studies have primarily focused on intratumoral characteristics, overlooking the potential contribution of peritumoral features. The aim of this study was to evaluate the effectiveness of multiparametric MRI in predicting LVI by analyzing both intratumoral and peritumoral radiomics features and to assess the added value of incorporating both regions in LVI prediction.</p><p><strong>Methods: </strong>A total of 366 patients underwent preoperative breast MRI from two centers and were divided into training (n=208), validation (n=70), and test (n=88) sets. Imaging features were extracted from intratumoral and peritumoral T2-weighted imaging, diffusion-weighted imaging, and dynamic contrast-enhanced MRI. Five models were developed for predicting LVI status based on logistic regression: the tumor area (TA) model, peritumoral area (PA) model, tumor-plus-peritumoral area (TPA) model, clinical model, and combined model. The combined model was created incorporating the highest radiomics score and clinical factors. Predictive efficacy was evaluated via the receiver operating characteristic (ROC) curve and area under the curve (AUC). The Shapley additive explanation (SHAP) method was used to rank the features and explain the final model.</p><p><strong>Results: </strong>The performance of the TPA model was superior to that of the TA and PA models. A combined model was further developed via multivariable logistic regression, with the TPA radiomics score (radscore), MRI-assessed axillary lymph node (ALN) status, and peritumoral edema (PE) being incorporated. The combined model demonstrated good calibration and discrimination performance across the training, validation, and test datasets, with AUCs of 0.888 [95% confidence interval (CI): 0.841-0.934], 0.856 (95% CI: 0.769-0.943), and 0.853 (95% CI: 0.760-0.946), respectively. Furthermore, we conducted SHAP analysis to evaluate the contributions of TPA radscore, MRI-ALN status, and PE in LVI status prediction.</p><p><strong>Conclusions: </strong>The combined model, incorporating clinical factors and intratumoral and peritumoral radscore, effectively predicts LVI and may potentially aid in tailored treatment planning.</p>","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"7833-7846"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397653/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978366","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Prenatal diagnosis of abdominal aorta-umbilical vein fistula using high-definition flow render mode and spatiotemporal image correlation.","authors":"Fei-Lei Yan, Kai Wang, Tao Li, Tian-Gang Li, Bin Ma","doi":"10.21037/qims-24-2353","DOIUrl":"10.21037/qims-24-2353","url":null,"abstract":"","PeriodicalId":54267,"journal":{"name":"Quantitative Imaging in Medicine and Surgery","volume":"15 9","pages":"8728-8732"},"PeriodicalIF":2.3,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12397694/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144978381","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}