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# Imaging biomarkers

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  1. A preoperative clue for pediatric Wilms tumor subtypes: D* separates stromal from epithelial, mixed and regressive slices

    Pediatric Wilms tumor is treated with preoperative chemotherapy under the SIOP-RTSG 2016 UMBRELLA protocol, and histological subtyping comes only after surgery, leaving no reliable preoperative marker. A retrospective study fitted intravoxel incoherent motion imaging with implicit neural representations and used patient-specific 3D-printed cutting guides to align MRI slices with histopathology slices, comparing parameters across subtypes in 94 slices from 30 lesions. Median D* was significantly higher in stromal than in epithelial, mixed and regressive slices, while D, f and ADC showed no significant differences between subtypes.

  2. Four-region µCT analysis detects compensatory ventilation in the right caudal lobe of a mouse fibrosis model that whole-lung readouts miss

    In 22 C57BL/6 mice (11 given triple oropharyngeal bleomycin at 0.25 mg/kg to induce pulmonary fibrosis and 11 given saline), respiratory-gated µCT was acquired at baseline and days 7, 14, and 21, a U-Net deep-learning algorithm segmented the lungs into left and right lobes that were further divided into apical and caudal regions using airway landmarks for four subregions, and regional volumes, aeration compartments, and ventilation maps were extracted; saline-treated mice showed stable metrics with minimal interanimal variability, whereas bleomycin-treated animals showed early and heterogeneous fibrotic changes with the apical regions most affected and the caudal-right region displaying a compensatory functional increase, so that µCT-based regional analysis detected localized dysfunction a

  3. Biparametric MRI Radiomics Combined with Serum Bone Turnover Biomarkers for Predicting Postoperative Bone Metastasis in Prostate Cancer: Precision Selection for Targeted Radionuclide Therapy

    In a prospective single-center cohort of 143 patients with clinically localized prostate cancer (cT1-2N0M0) undergoing laparoscopic radical prostatectomy, the study measured preoperative serum bone metabolism indicators such as osteocalcin N-terminal mid-fragment and alkaline phosphatase, extracted biparametric MRI radiomics variables including apparent diffusion coefficient mean and K trans mean, and integrated serum and imaging biomarkers with a multivariate logistic regression model; the integrated model reached an area under the ROC curve of 0.984, significantly outperforming individual biomarkers and imaging features (all p < 0.001), showed clinical net benefit with strong calibration (Hosmer-Lemeshow test p = 0.

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