Multiparametric MRI for characterization of the tumour microenvironment

Nature Reviews Clinical Oncology, Journal Year: 2024, Volume and Issue: 21(6), P. 428 - 448

Published: April 19, 2024

Language: Английский

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Biomimetic inducer enabled dual ferroptosis of tumor and M2-type macrophages for enhanced tumor immunotherapy

Biomaterials, Journal Year: 2023, Volume and Issue: 303, P. 122386 - 122386

Published: Nov. 4, 2023

Language: Английский

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Time-dependent diffusion MRI and kinetic heterogeneity as potential imaging biomarkers for diagnosing suspicious breast lesions with 3.0-T breast MRI

Magnetic Resonance Imaging, Journal Year: 2025, Volume and Issue: 117, P. 110323 - 110323

Published: Jan. 5, 2025

Language: Английский

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Accelerated MR cell size imaging through parallel acquisition technique (PAT) and simultaneous multi-slice (SMS) with local principal component analysis (LPCA) enhancement

Magnetic Resonance Imaging, Journal Year: 2025, Volume and Issue: 117, P. 110327 - 110327

Published: Jan. 16, 2025

Language: Английский

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Advantages of time-dependent diffusion MRI for quantitative microstructural mapping in breast tumors

Frontiers in Oncology, Journal Year: 2025, Volume and Issue: 15

Published: March 25, 2025

Objectives Time-dependent diffusion MRI (TD-MRI) can measure tumor tissue microstructure, but its effectiveness in differentiating benign from malignant breast tumors is unclear. This study aims to investigate the diagnostic value of TD-MRI microstructural features for distinguishing between and tumors. Methods prospective included 44 patients with 28 All subjects underwent IMPULSED protocol on a 3.0-T scanner. Imaging data were analyzed using least squares fitting MATLAB, yielding Dex (extracellular diffusivity), Vin (intracellular volume fraction), Dmean (cell diameter), Vin/Dmean, ADC values. The molecular subtypes cancer are classified based immunohistochemistry (IHC) results. Results Malignant exhibited significantly lower (17.37 ± 2.74 µm vs. 22.47 3.85µm, p<0.0001), higher (0.41 0.13% 0.19 0.10%, Vin/Dmean (2.13 0.66 0.93 0.61, p<0.0001) compared No significant difference was found (2.15 0.28 um 2 /ms 2.25 0.31 /ms, p>0.05). Strong correlations observed: positive Dmean, negative both Vin/Dmean. AUC values (0.92; 95% CI: 0.86-0.99), (0.91; 0.83-0.98) surpassed those ADC. Conclusion microstructure mapping effectively differentiates tumors, highlighting potential improve accuracy lesions.

Language: Английский

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The Application Value of Time-Dependent DWI in the Differential Diagnosis of Benign and Malignant Breast Lesions and Microstructural Feature Analysis

Research Square (Research Square), Journal Year: 2025, Volume and Issue: unknown

Published: May 16, 2025

Objective This study aimed to evaluate the diagnostic value of various ADC sequences and microstructural parameters derived from time-dependent diffusion-weighted imaging (td-DWI) in differentiating benign malignant breast lesions. Methods In this study, a total 52 patients with lesions were included, comprising 24 cases 28 MRI examinations conducted measure four values: ADC_25HZ, ADC_50HZ, ADC_PGSE, ADC_Zoomit. Additionally, fin, Dex, d, Cellularity calculated. Clinical characteristics between two groups compared using independent samples t-tests chi-square tests, performance each parameter was evaluated. Results Age, maximum diameter, FGT, morphology, TIC curve, edema, T2WI signal, DWI BI-RADS score showed significant differences (p < 0.05). The ADC_Zoomit statistically = 0.042, 0.020, 0.001), exhibiting highest AUC 0.808. Among parameters, d 0.005, 0.001, having 0.816 an accuracy, specificity, sensitivity 0.769, 0.792, 0.75, respectively. Conclusion td-DWI, particularly when combined high-frequency oscillating gradients advanced post-processing algorithms, offers robust non-invasive method for early detection precise characterization approach shows promise improving cancer diagnosis guiding personalized treatment strategies, ultimately enhancing patient outcomes.

Language: Английский

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Correlation of K^transderived from dynamic contrast-enhanced MRI with treatment response and survival in locally advanced NSCLC patients undergoing induction immunochemotherapy and concurrent chemoradiotherapy

Journal for ImmunoTherapy of Cancer, Journal Year: 2024, Volume and Issue: 12(6), P. e008574 - e008574

Published: June 1, 2024

Purpose This study aimed to investigate the prognostic significance of pretreatment dynamic contrast-enhanced (DCE)-MRI parameters concerning tumor response following induction immunochemotherapy and survival outcomes in patients with locally advanced non-small cell lung cancer (NSCLC) who underwent immunotherapy-based multimodal treatments. Material methods Unresectable stage III NSCLC treated by immunochemotherapy, concurrent chemoradiotherapy (CCRT) or without consolidative immunotherapy from two prospective clinical trials were screened. Using two-compartment Extend Tofts model, including K trans , ep V e p calculated DCE-MRI data. The apparent diffusion coefficient was diffusion-weighted-MRI receiver operating characteristic (ROC) curve area under (AUC) used assess predictive performance MRI parameters. Cox regression model for univariate multivariate analysis. Results 111 unresectable enrolled. Patients received cycles CCRT, immunotherapy. With median follow-up 22.3 months, progression-free (PFS) overall (OS) 16.3 23.8 months. analysis suggested that Eastern Cooperative Oncology Group score, TNM significantly related both PFS OS. After 67 (59.8%) achieved complete partial 44 (40.2%) had stable disease progressive disease. primary before yielded best predicting treatment response, an AUC 0.800. categorized into groups: high-K group (n=67, ＞164.3×10 −3 /min) low-K (n=44, ≤164.3×10 based on ROC a higher objective rate than (85.1% (57/67) vs 22.7% (10/44), p<0.001). also presented better (median: 21.1 11.3 p=0.002) OS 34.3 15.6 p=0.035) group. Conclusions Pretreatment value emerged as significant predictor early Elevated values correlated positively enhanced leading extended durations.

Language: Английский

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Advanced breast diffusion-weighted imaging: what are the next steps? A proposal from the EUSOBI International Breast Diffusion-weighted Imaging working group

European Radiology, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 8, 2024

Abstract Objectives This study by the EUSOBI International Breast Diffusion-weighted Imaging (DWI) working group aimed to evaluate current and future applications of advanced DWI in breast imaging. Methods A literature search a comprehensive survey members explore clinical use potential techniques were involved. Advanced approaches such as intravoxel incoherent motion (IVIM), diffusion kurtosis imaging (DKI), tensor (DTI) assessed for their status challenges implementation. Results Although revealed an increasing number publications growing academic interest DWI, limited adoption among members, with 32% using IVIM models, 17% non-Gaussian analysis, only 8% DTI. variety are used, being most popular, but less than half it, suggesting that identified gap between benefits its actual practice. Conclusion The findings highlight need further research, standardization simplification transition from research tool regular practice concludes guidelines recommendations directions implementation, emphasizing importance interdisciplinary collaboration this field improve cancer diagnosis treatment. Clinical relevance statement imaging, while currently use, offers promising improvements diagnosis, staging, treatment monitoring, highlighting standardized protocols, accessible software, collaborative promote broader integration into routine Key Points Increasing on over last decade indicates . shows is used primarily not extensively More needed integrate

Language: Английский

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CT- and MRI-Aided Fluorescence Tomography Reconstructions for Biodistribution Analysis

Investigative Radiology, Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 1, 2023

Objectives Optical fluorescence imaging can track the biodistribution of fluorophore-labeled drugs, nanoparticles, and antibodies longitudinally. In hybrid computed tomography–fluorescence tomography (CT-FLT), CT provides anatomical information to generate scattering absorption maps supporting a 3-dimensional reconstruction from raw optical data. However, given CT's limited soft tissue contrast, quantification be inaccurate not sufficiently detailed. Magnetic resonance (MRI) overcome these limitations extend options for characterization. Thus, we aimed establish CT-MRI-FLT approach whole-body compared it with CT-FLT. Materials Methods The MRI-based approaches were established first by scanning water coconut oil–filled phantom, second quantifying Cy7 concentrations inserts in dead mice, finally analyzing AF750-labeled immunoglobulins (IgG, IgA) living SKH1 mice. imaging, acquired fat-water–separated mDixon sequence, CT, FLT co-registered using markers mouse holder frame filled white petrolatum, which was solid, stable, visible both modalities. Results Computed tomography–MRI fusion confirmed comparing segmentation agreement Dice scores. Phantom segmentations showed good agreement, after correction gradient linearity distortion chemical shift. Organ mice revealed adequate fusion. Marking successful CT-MRI enabled MRI-FLT as well reconstructions. Fluorescence reconstructions supported MRI, or comparable 60 pmol at different locations. Although standard CT-FLT only considered general values tissue, skin, lung, fat, bone scattering, MRI's more versatile contrast additional consideration liver, kidneys, brain. this did change quantifications significantly, whereas extending maps, important accurately segment organs entire body. various also provided results vivo analyses fluorescent immunoglobulins. MRI additionally visualization gallbladder, thyroid, Furthermore, spleen, kidney reliable due better-defined contours than CT. Therefore, improved better assignment signals differentiated conclusions MRI-FLT. Conclusions Whole-body implemented novel trimodal approach, allowed assign signals, thereby significantly improving pharmacokinetic analyses.

Language: Английский

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Profiling regulatory T lymphocytes within the tumor microenvironment of breast cancer via radiomics

Cancer Medicine, Journal Year: 2023, Volume and Issue: 12(24), P. 21861 - 21872

Published: Dec. 1, 2023

Abstract Objective To generate an image‐driven biomarker (Rad_score) to predict tumor‐infiltrating regulatory T lymphocytes (Treg) in breast cancer (BC). Methods Overall, 928 BC patients were enrolled from the Cancer Genome Atlas (TCGA) for survival analysis; MRI ( n = 71 and 30 training validation sets, respectively) Imaging Archive (TCIA) retrieved subjected repeat least absolute shrinkage selection operator feature reduction. The radiomic scores (rad_score) Treg infiltration estimation calculated via support vector machine (SVM) logistic regression (LR) algorithms, validated on remaining patients. Results Landmark analysis indicated was a risk factor first 5 years after 10 of diagnosis p 0.007 0.018, respectively). Altogether, 108 features extracted images, 4 which remained model construction. Areas under curves (AUCs) SVM 0.744 (95% CI 0.622–0.867) 0.733 0.535–0.931) respectively, while LR model, AUCs 0.771 0.657–0.885) 0.724 0.522–0.926). calibration good agreement between prediction true value > 0.05), DCA shows high clinical utility model. Rad_score significantly correlated with immune inhibitory genes like CTLA4 PDCD1. Conclusions High is BC. formulated novel tool abundance tumor microenvironment.

Language: Английский

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