Acta radiologica最新文献

{"title":"Bi-parametric MRI radiomic model for prostate cancer diagnosis: value of intralesional and perilesional radiomics.","authors":"Yida Li, Xin Zhou, Xinyuan Zhang, Mengmeng Zhang, Shengjian Sun, Xue Gai, Guohua Li","doi":"10.1177/02841851251317646","DOIUrl":"10.1177/02841851251317646","url":null,"abstract":"<p><p>BackgroundProstate cancer (PCa) is the most common malignant tumor that endangers the life and health of middle-aged and elderly men.PurposeTo evaluate the significance of radiomic features from intralesional and perilesional regions in bi-parametric magnetic resonance imaging (MRI) for diagnosing PCa.Material and MethodsA total of 211 patients with suspected PCa who accepted prostate MRI scans were enrolled in this study. The region of interest (ROI) corresponding to the original lesion was manually delineated to define the intralesional ROI on bp-MRI maps. The original lesion ROI was then expanded by 2 mm, 4 mm, 6 mm, and 8 mm, while excluding the intralesional area to create the perilesional ROI. Features were extracted from each ROI, and a radiomics model was developed using logistic regression. The combined model integrated features from both intralesional and perilesional regions. Its predictive performance was assessed using receiver operating characteristic (ROC) curves and area under the curve (AUC) to evaluate its diagnostic efficacy for PCa.ResultsThe comparison revealed that perilesional 4 mm model had the best performance among all perilesional models, its AUCs of 0.934 and 0.894 in the training testing set, respectively, outperformed the combined model of other regions. The clinical model, combined model for intralesional regions, and INTRAPERI model achieved AUCs of 0.911, 0.925, 0.931 in the training sets and 0.770, 0.867, 0.905 in the testing sets. The predictive performance of the INTRAPERI model is better than the clinical model and intralesional model.ConclusionThe radiomic model combining intralesional and perilesional features from bi-parametric MRI shows strong predictive value for PCa and may enhance clinical decision-making.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"639-649"},"PeriodicalIF":1.1,"publicationDate":"2025-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447741","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":"Time-dependent diffusion magnetic resonance imaging for the analysis of parotid gland tumors.","authors":"Di Geng, Liu-Ning Zhu, Jun Liu, Xian-Ce Zhao, Yi-Shi Wang, Xiao-Quan Xu, Fei-Yun Wu","doi":"10.1177/02841851241313108","DOIUrl":"10.1177/02841851241313108","url":null,"abstract":"<p><p>BackgroundDifferent parotid tumors differ in terms of treatment strategies due to their distinct biological behaviors. Time-dependent diffusion magnetic resonance imaging (t_d-dMRI) can characterize and quantify the cytological indexes, and then aid the differential diagnosis of various tumors. However, the value of t_d-dMRI in the analysis of parotid gland tumors remains unclear.PurposeTo investigate the value of quantitative parameters derived from t_d-dMRI in the analysis of parotid gland tumors.Material and MethodsIn total, 39 patients with parotid gland tumors were prospectively enrolled, including 24 patients with polymorphic adenomas (PAs), eight with Warthin's tumors (WTs), and seven with malignant tumors (MTs). T_d-dMRI was performed for preoperative evaluation. Intracellular volume fraction (<i>V</i>_in), mean cell size (<i>d</i>), extracellular diffusion coefficient (<i>D</i>_ex), and cellularity were obtained based on the Imaging Microstructural Parameters Using Limited Spectrally Edited Diffusion model, and compared among the three groups. One-way ANOVA, Kruskal-Wallis test, and receiver operating characteristic (ROC) curve analysis were performed for further statistical analysis as appropriate.ResultsSignificant differences were found in all t_d-dMRI-derived indexes among PAs, WTs, and MTs (all <i>P</i> < 0.05). <i>V</i>_in was the sole parameter with significant differences for all sub-group comparisons (PAs vs. WTs, <i>P</i> < 0.001; PAs vs. MTs, <i>P</i> = 0.031; WTs vs. MTs, <i>P</i> = 0.047). With <i>V</i>_in values of 0.267, 0.231, and 0.260 as threshold, respectively, optimal performance levels were obtained for differentiating PAs from WTs (area under the ROC curve [AUC]=0.932, sensitivity=0.917, and specificity=0.875), PAs from MTs (AUC=0.744, sensitivity=0.833, and specificity=0.714), and WTs from MTs (AUC=0.750, sensitivity=0.875, and specificity=0.714).ConclusionMicrostructural parameters derived from t_d-dMRI, especially <i>V</i>_in, might be promising imaging biomarkers for characterizing parotid gland tumors.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"505-511"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142998336","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":"Piriformis muscle abnormalities in sacroiliac MRI of patients with axial spondyloarthritis.","authors":"Kemal Erol, Ezgi Akyildiz Tezcan, Seyit Erol","doi":"10.1177/02841851241313022","DOIUrl":"10.1177/02841851241313022","url":null,"abstract":"<p><p>BackgroundPiriformis syndrome, an often-overlooked cause of sciatica, commonly presents as chronic gluteal pain and poses a diagnostic challenge, particularly in patients with axial spondyloarthritis (axSpA).PurposeTo examine piriformis muscle abnormalities on sacroiliac magnetic resonance imaging (MRI) and their association with clinical outcomes in patients with axSpA.Material and MethodsThis cross-sectional study included 100 axSpA patients (50 radiographic [r-axSpA], 50 non-radiographic [nr-axSpA]), classified by the 2009 ASAS Axial Spondyloarthritis criteria, who underwent MRI evaluations of the sacroiliac joints over a 6-month period. Piriformis evaluation included the measurement of muscle size, signal intensity, and the assessment of fatty infiltration. Sciatic neuritis was assessed by identifying enlarged sciatic nerves or increased signal intensity. Data collection included demographic details, disease activity, and functionality parameters. Statistical analysis was performed using appropriate methods, with <i>P</i> < 0.05 indicating significance.ResultsPiriformis syndrome findings were identified in 10% of patients, with a slightly higher incidence in r-axSpA patients (12%) compared to nr-axSpA patients (8%); however, this difference was not statistically significant (<i>P</i> = 0.739). Patients with these MRI findings had significantly higher disease activity, as indicated by the Ankylosing Spondylitis Disease Activity Score with C-reactive protein (3.5 vs. 2.82; <i>P</i> = 0.015), and greater functional impairment, measured by the Bath Ankylosing Spondylitis Functional Index (5.45 vs. 2.7; <i>P</i> = 0.041).ConclusionThis study highlights the presence of MRI findings associated with piriformis syndrome among axSpA patients, which are linked to increased disease activity and reduced function. Recognizing piriformis syndrome as a co-morbidity may improve diagnosis and treatment, leading to better patient outcomes.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"521-528"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027751","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":"Stage pT0-T1 rectal cancers: emphasis on submucosal high intensity on high-resolution T2-weighted imaging and other morphological features.","authors":"Tongyin Zhang, Yuwan Hu, Haoyu Li, Juan Wang, Qiaoyu Xu, Yanyan Xu, Hongliang Sun","doi":"10.1177/02841851251316435","DOIUrl":"10.1177/02841851251316435","url":null,"abstract":"<p><p>BackgroundIdentification and staging of rectal cancer are mainly based on the difference in signal intensity (SI) between the tumor and normal structures of the intestinal wall on T2-weighted imaging. However, differentiating stage pT0-T1 from pT2 rectal tumors is difficult using routine magnetic resonance imaging (MRI) sequences.PurposeTo summarize and explore whether MRI findings from routine imaging can help differentiate pT0-T1 from pT2 rectal tumors.Material and MethodsA total of 110 patients with pT0-T2 rectal cancer underwent preoperative pelvic MRI examinations and tumor resection without preoperative chemoradiotherapy. MRI findings of rectal lesions (including tumor location, shape, longitudinal length, maximum cross-section, submucosal high intensity [SHI], extramural fibrotic scarring, wall shrinkage, lesion-to-wall signal intensity ratio, and presence of lymph node with short axis over 3 mm) and clinical characteristics were analyzed by univariate and multivariate analyses to screen the independent factors associated with pathological results.ResultsOf all the lesions, 32 tumors were proved to be pT0-T1 and 78 tumors were pT2. Univariate and multivariate logistic regression analyses revealed that tumor shape (odds ratio [OR] = 24.607, <i>P </i>< 0.001), SHI (OR = 6.129, <i>P </i>= 0.002), and extramural fibrotic scarring (OR = 0.110, <i>P </i>= 0.007) were independent factors distinguishing pT0-T1 tumors from pT2 tumors. If the rectal lesion has a cauliflower-like shape with SHI and no extramural fibrotic scarring, it is more likely to be a pT0-T1 tumor.ConclusionThe imaging features obtained from the routine MRI sequence showed potential value for differentiating pT0-T1 from pT2 rectal tumors.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"558-566"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143482019","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":"Assessing the aggressiveness of prostate cancer using ADC and relaxation maps from synthetic MRI.","authors":"Sabri Sirolu, Mustafa Ege Seker, Deniz Alis, Batuhan Guroz, Cavit Kerem Kayhan, Fatma Tokat, Omer Burak Argun, Ilkay Oksuz, Ercan Karaarslan","doi":"10.1177/02841851251315717","DOIUrl":"10.1177/02841851251315717","url":null,"abstract":"<p><p>BackgroundEmerging evidence suggests multiparametric prostate MRI's role in evaluating prostate cancer (PCa) aggressiveness.PurposeTo evaluate the utility of quantitative sequences in prostate MRI for assessing peripheral zone PCa aggressiveness, focusing on added value of relaxation maps to ADC.Material and MethodsIn total, 64 men undergoing preoperative bi-parametric prostate MRI with synthetic sequences were retrospectively enrolled. Radiologists delineated lesions on ADC maps and synthetic MRI, matched with digitized whole-mount specimens. PCa was graded as low, intermediate, or high based on Gleason grade. Statistical analyses assessed differences in T1, T2, PD, and ADC values across grades. For significant variables, AUC curves were generated. A logistic regression model evaluated the added diagnostic value of relaxation maps to ADC.ResultsOf the 95 PCa foci, 11 were low-grade, 45 intermediate-grade, and 39 high-grade. T1 (<i>P</i> = 0.4) and PD (<i>P</i> = 0.3) showed no significant differences, while T2 and ADC differed significantly (<i>P</i> < 0.001). Median T2 values were 98 ms (low-grade), 81 ms (intermediate), and 73 ms (high-grade), and median ADC values were 1006 mm²/s, 836 mm²/s, and 721 mm²/s, respectively. ADC yielded AUCs of 0.888 (95% CI=0.794-0.963; <i>P</i> < 0.0001) for low- versus intermediate-to-high-grade PCa, and 0.825 (95% CI=0.724-0.901; <i>P</i> < 0.0001) for low-to-intermediate versus high-grade. T2 AUCs were 0.770 (95% CI=0.605-0.908; <i>P</i> = 0.021) and 0.755 (95% CI=0.648-0.864; <i>P</i> = 0.0051), respectively. A logistic regression model combining T2 and ADC showed no significant improvement over ADC alone in differentiating low- versus intermediate-to-high-grade and low-to-intermediate versus high-grade PCa (<i>P</i> > 0.05).ConclusionT1 and PD maps from synthetic MRI showed limited utility in grading PCa. Although T2 values were effective, ADC values were superior in assessing PCa aggressiveness. The addition of T2 to ADC did not significantly improve diagnostic performance.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"536-545"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143447739","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":"Glioblastoma IDH-wild type: imaging independent predictors of gross total resection (GTR) using the VASARI feature set and tumoral volumetric measurements.","authors":"David Timaran-Montenegro, Luis Nunez, Antonio Dono, Octavio Arevalo, Andres Rodriguez, Kamand Khalaj, Jennifer McCarty, Jay-Jiguang Zhu, Yoshua Esquenazi, Roy Riascos","doi":"10.1177/02841851251316400","DOIUrl":"10.1177/02841851251316400","url":null,"abstract":"<p><p>BackgroundExtent of resection (EOR), including gross total resection (GTR), is one of the most important factors in predicting overall survival (OS) in IDH-wild type (IDH-WT) glioblastoma patients. Although GTR represents the complete resection of all visible contrast-enhancing parts of the tumor, imaging predictors of achieving this extent still need to be better understood.PurposeTo assess the impact of preoperative imaging phenotypes as defined by the VASARI feature set and tumoral volumetry to determine predictors of GTR in patients with IDH-WT glioblastoma.Material and MethodsThis retrospective, single-center study analyzed imaging characteristics based on the VASARI features in the preoperative scans of IDH-WT glioblastoma patients. Volumetric analysis was performed to determine associations with clinical outcomes. Univariate analysis was used to determine the association of VASARI features with GTR. A multivariate analysis model was used to determine predictors of GTR.ResultsGTR was achieved in 79/144 (54.8%) patients, near total resection in 15 (10.4%), and subtotal resection in 50 (34.7%) patients. Our results showed non-eloquent tumor regions (55% vs. 35%; <i>P </i>= 0.04) and thick margin of enhancement (56.1% vs. 43.9%; <i>P </i>= 0.04) were associated with GTR and ependymal extension (37% vs. 63%; <i>P </i>= 0.02). Deep white matter invasion (36.3% vs. 63.7%; <i>P </i>= 0.03) was significantly associated with non-gross total resection. Lower tumoral volumes were also associated with gross total resection (<i>P </i>< 0.01). After performing multivariate analysis, the thickness of the tumoral enhancing margins was correlated with GTR with an OR of 1.57 (95% CI=1.1-2.23). Furthermore, the volume of the enhancing component was significantly different according to EOR with a calculated OR of 0.95 (95% CI = 0.92-0.97; <i>P </i>< 0.01).ConclusionImaging characteristics on standard-of-care MRI can predict the rate of GTR in patients with IDH-WT glioblastomas. The thickness of enhancing margins predicts GTR after multivariate analysis. A diagnostic model that includes a combination of the discriminating depicted features on MRI and brain tumor volumetrics has an acceptable diagnostic performance with a specificity >90%.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"546-557"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623152","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 subtrochanteric and femoral shaft fractures as atypical femur fractures on radiology reports.","authors":"Hans Peter Bögl, Jörg Schilcher","doi":"10.1177/02841851241313026","DOIUrl":"10.1177/02841851241313026","url":null,"abstract":"<p><p>BackgroundBisphosphonate-associated stress fractures, atypical femur fractures (AFF), are a rare subgroup of femoral stress fractures. Their correct and early diagnosis is imperative for appropriate treatment.PurposeTo investigate the sensitivity of written radiology reports to mention radiographic features of AFF, depending on the time period and academic level of the hospital.Material and MethodsWe used 171 patients, aged 55 years or older, who sustained an AFF between 2008 and 2010 (early period) identified through the Swedish National Patient Register and radiographic review and 104 patients identified through the Swedish Fracture Register between 2015 and 2018 (late period). Plain radiographs were extracted from 72 radiology departments in Sweden and individually re-reviewed and classified based on the American Society for Bone and Mineral Research case definition for AFF. Radiology reports were viewed for mentioning AFF or stress/insufficiency features (true positives). The number of true positives was compared with the number of false positives for both periods using non-parametric statistics and using the gold standard as reference.ResultsWe obtained 98 of the possible 171 reports with 7% of true positives for the early period and 77 of the possible 104 reports with 27% true positives for the late period (<i>P</i> < 0.001). The level of improvement over time was independent of the academic level of the hospital.ConclusionDespite improvements over time, written radiology reports seldom mention AFF features. Clinicians, specifically orthopedic surgeons, are encouraged to contribute to a correct and early diagnosis to tailor treatment, while awaiting improvements in radiology reports.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"529-535"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143021769","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":"Association of gray and white matter volumes, clinical features, neurofilament light chain, and glial fibrillary acidic protein in relapsing-remitting multiple sclerosis.","authors":"Neslihan Esgul, Asuman Orhan Varoglu, Begumhan Baysal","doi":"10.1177/02841851241305738","DOIUrl":"10.1177/02841851241305738","url":null,"abstract":"<p><p>BackgroundNumerous studies have examined the prognosis of patients with relapsing-remitting multiple sclerosis (RRMS).PurposeTo seek a relationship between the gray matter/white matter (GM/WM) volume ratio, clinical features, neurofilament light chain (NfL), and glial fibrillary acidic protein (GFAP) in RRMS.Material and MethodsA total of 61 patients aged 18-70 years with RRMS and 20 controls were included. Neurological examinations were noted at the first attack and last visit. Blood samples were taken in remission.ResultsPatients' WM volume was lower and the GM/WM volume ratio was larger than in the controls (<i>P</i> < 0.001). Patients' WM correlated with GM volume (<i>P</i> < 0.001, <i>r</i> = 0.608). WM correlated with GM/WM volume ratio (<i>P</i> < 0.001, <i>r</i> = -0.632). For NfL and GFAP, no difference was found between patients and controls. Patients' NfL correlated with GFAP (<i>P</i> < 0.001, <i>r</i> = 0.452). Age and disease duration were correlated with Gfap (<i>P</i> < 0.001, <i>r</i> = 0.434; <i>P</i> < 0.002, <i>r</i> = 0.381). No correlation was found between NfL/GFAP levels and all volumetric measurements of patients. Higher Expanded Disability Status Scale (EDSS), lower GM and WM volumes, and greater GM/WM volume ratio were detected in patients with the first pyramidal findings (<i>P</i> < 0.001).ConclusionPatients' NfL and GFAP levels were lower than in controls and did not correlate with all volumes. GFAP is more informative, particularly in patients of advanced age and those with longstanding diseases. Higher EDSS and decreased GM and WM volumes were seen in patients with pyramidal symptoms at the first attack.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"470-476"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143514311","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":"Influence of field strength on quantitative parameters and feature stability in the assessment of the ovaries using 1.5-T and 3-T MRI.","authors":"Theresa Mokry, Judith Pantke, Hans-Ulrich Kauczor, Frederik B Laun, Heinz-Peter Schlemmer, Tristan A Kuder, Sebastian Bickelhaupt","doi":"10.1177/02841851241313021","DOIUrl":"10.1177/02841851241313021","url":null,"abstract":"<p><p>BackgroundLittle is known of the influence of scanner field strength on quantitative diffusivity variables, especially kurtosis in healthy ovaries.PurposeTo evaluate the influence of scanner field strength on quantitative diffusion variables in pelvic MRI of the ovaries.Material and MethodsThis prospective, single-centre study consisted of repeated 1.5-T and 3-T examinations in 30 female volunteers (mean age=27.9 years, age range=20.3-45.2 years) from July 2017 to September 2019. Multi b-value DWI 0, 50, 100, 800, 1500, 2000 s/mm² was acquired over three timepoints during the menstrual cycle. Ovaries were segmented at b = 1500 s/mm². Median apparent diffusion coefficient (ADC) and advanced kurtosis parameters D_app and K_app were calculated. Statistical analysis was performed with the variations of diffusivity variables being compared between 1.5-T and 3-T MRI using a Mann-Whitney rank-sum test.ResultsMedian ADC and D_app (µm²/ms) did not statistically differ. Median ADC were 1.509 (range=1.371-1.610), 1.619 (range=1.463-1.747), and 1.511 (range=1.423-1.639) at 1.5 T; 1.542 (range=1.428-1.682), 1.658 (range=1.510-1.806), and 1.572 (range=1.455-1.709) at 3 T (<i>P</i> = 0.14, 0.19, and 0.07), whereas median D_app were 2.024 (range=1.913-2.152), 2.192 (range=2.010-2.327), and 2.045 (range=1.958-2.170) at 1.5 T; 2.013 (range=1.952-2.188), 2.179 (range=2.018-2.327), and 2.082 (range=1.959-2.194) at 3 T (<i>P</i> = 0.77, 0.99, and 0.34) for timepoints 1, 2, and 3, respectively. Statistical comparison of K_app revealed significant differences for all timepoints: 0.629 (range=0.595-0.652), 0.604 (range=0.574-0.651), and 0.622 (range=0.581-0.664) at 1.5 T; 0.601 (range=0.563-0.626), 0.567 (range=0.526-0.633), and 0.599 (range=0.541-0.650) at 3 T (<i>P</i> < 0.001, 0.005, and 0.03).ConclusionDiffusivity mapping in the ovaries provides similar absolute median diffusion values, but statistically significant differences in absolute kurtosis values between 1.5 T and 3 T.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"512-520"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143187952","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":"Radiomics analysis of substantia nigra on multi-echo susceptibility map-weighted imaging for differentiating Parkinson's disease from atypical parkinsonian syndromes.","authors":"Weiling Cheng, Wei Zeng, Jiali Guo, Jiankun Dai, Fuqing Zhou, Fangjun Li, Xin Fang","doi":"10.1177/02841851251315707","DOIUrl":"10.1177/02841851251315707","url":null,"abstract":"<p><p>BackgroundWhile the \"swallow tail\" sign observed in the substantia nigra (SN) on susceptibility map-weighted imaging (SMWI) serves as an effective marker for differentiating patients with Parkinson's disease (PD) from healthy individuals, its visual assessment proves inadequate in differentiating PD from atypical Parkinson syndromes (APS).PurposeTo employ radiomic features extracted from multi-echo SMWI of the SN to distinguish between PD and APS.Material and MethodsSMWI data were acquired from 63 PD patients, 38 APS patients, and 89 healthy controls. The participants were randomly assigned to either training or test groups in a 7:3 proportion. Utilizing the PyRadiomics software, a set of radiomic features were extracted from SN for analysis. Features underwent standardization via the maximum-minimum method, with 166 statistically significant features identified through independent <i>t</i>-tests. To minimize the risk of overfitting, the least absolute shrinkage and selection operator (LASSO) algorithm was implemented to identify and select the five most significant features from the radiomic dataset. Five distinct machine-learning classifiers were developed to distinguish between PD, APS, and healthy controls. The SHapley Additive Explanations was employed to gain insights into and visualize the relative importance of each feature within these models.ResultsMorphological, first-order, texture, and wavelet transform features of the SN emerged as the most crucial determinants. The light gradient-boosting machine model demonstrated superior performance in distinguishing between PD, APS, and healthy controls.ConclusionRadiomic features of the SN derived from SMWI show promise in differentiating PD from APS, potentially enhancing diagnostic accuracy in clinical settings.</p>","PeriodicalId":7143,"journal":{"name":"Acta radiologica","volume":" ","pages":"494-504"},"PeriodicalIF":1.1,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143481984","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}