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Introduction: We evaluate the role of apparent diffusion coefficient (ADC) histogram metrics in stratifying pediatric and young adult rhabdomyosarcomas.
Methods: We retrospectively evaluated baseline diffusion-weighted imaging (DWI) from 38 patients with rhabdomyosarcomas (Not otherwise specified: 2; Embryonal: 21; Spindle Cell: 2; Alveolar: 13, mean ± std dev age: 8.1 ± 7.76 years). The diffusion images were obtained on a wide range of 1.5 T and 3 T scanners at multiple sites. FOXO1 fusion status was available for 35 patients, nine of whom harbored the fusion. 13 patients were TNM stage 1, eight had stage 2 disease, nine were stage 3, and eight had stage 4 disease. 23 patients belonged to Clinical Group III and seven to Group IV, while two and five were CG I and II, respectively. Nine patients were classified as low risk, while 21 and five were classified as intermediate and high risk respectively. Histogram parameters of the apparent diffusion coefficient (ADC) map from the entire tumor were obtained based on manual tumor contouring. A two-tailed Mann-Whitney U test was used for all two-group, and the Kruskal-Wallis's test was used for multiple-group comparisons. Bootstrapped receiver operating characteristic (ROC) curves and areas under the curve (AUC) were generated for the statistically significant histogram parameters to differentiate genotypic and phenotypic parameters.
Results: Alveolar rhabdomyosarcomas had a statistically significant lower 10th Percentile (586.54 ± 164.52, mean ± std dev, values are in ×10-6mm/s) than embryonal rhabdomyosarcomas (966.51 ± 481.33) with an AUC of 0.85 (95%CI. 0.73-0.95) for differentiating the two. The 10th percentile was also significantly different between FOXO1 fusion-positive (553.87 ± 187.64) and negative (898.07 ± 449.38) rhabdomyosarcomas with an AUC of 0.83 (95% CI 0.71-0.94). Alveolar rhabdomyosarcomas also had statistically significant lower Mean, Median, and Root Mean Squared ADC histogram values than embryonal rhabdomyosarcomas. Four, five, and seven of the 18 histogram parameters evaluated demonstrated a statistically significant increase with higher TNM stage, clinical group, assignment, and pretreatment risk stratification, respectively. For example, Entropy had an AUC of 0.8 (95% CI. 0.67-0.92) for differentiating TNM stage 1 from ≥ stage 2 and 0.9 (95% CI. 0.8-0.98) for differentiating low from intermediate or high-risk stratification.
Conclusion: Our findings demonstrate the potential of ADC histogram metrics to predict clinically relevant variables for rhabdomyosarcoma, including FOXO1 fusion status, histopathology, Clinical Group, TNM staging, and risk stratification.
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http://dx.doi.org/10.1016/j.acra.2024.01.011 | DOI Listing |
J Neurotrauma
September 2025
Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland, USA.
Mean apparent propagator MRI (MAP-MRI) quantifies subtle alterations in tissue microstructure noninvasively and provides a more nuanced and comprehensive assessment of tissue architectural and structural integrity compared with other diffusion MRI techniques. We investigate the sensitivity of MAP-MRI-derived quantitative imaging biomarkers to detect previously unseen microstructural damage in patients with mild traumatic brain injuries (mTBI), whose clinical scans otherwise appeared normal. We developed and validated an MAP-MRI data processing pipeline for analyzing diffusion-weighted images for use in healthy controls and mTBI patients whose longitudinal scans were obtained from the GE/NFL/mTBI MRI database.
View Article and Find Full Text PDFComput Methods Programs Biomed
August 2025
The Institute of Cancer Research, London, UK. Electronic address:
Background And Objective: Apparent Diffusion Coefficient (ADC) values and Total Diffusion Volume (TDV) from Whole-body diffusion-weighted MRI (WB-DWI) are recognised cancer imaging biomarkers. However, manual disease delineation for ADC and TDV measurements is unfeasible in clinical practice, demanding automation. As a first step, we propose an algorithm to generate fast and reproducible probability maps of the skeleton, adjacent internal organs (liver, spleen, urinary bladder, and kidneys), and spinal canal.
View Article and Find Full Text PDFMol Biol Rep
September 2025
Department of Biosciences, Integral University, Kursi Road, Lucknow, 226026, India.
Background: The river ecosystems provide habitats and source of water for a number of species including humans. The uncontrolled accumulation of pollutants in the aquatic environment enhances the development of antibiotic-resistant bacteria and genes.
Methods: Water samples were collected seasonally from different sites of Gomti and Ganga River.
Front Oncol
August 2025
Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Background: Low-grade endometrial stromal sarcoma (LG-ESS) is a rare malignant tumor of the female reproductive system with atypical clinical symptoms and slow progression.
Case: A 44-year-old female with a history of intermittent severe dysmenorrhea, previous laparoscopic myomectomy, and uterine artery embolization (UAE) presented with rapidly enlarging pelvic masses. Imaging revealed uterine masses suggestive of leiomyomas, although an adnexal origin could not be excluded.
Eur J Nucl Med Mol Imaging
September 2025
Department of Nuclear Medicine, Changhai Hospital, Naval Medical University, 168 Changhai Road, Yang Pu District, Shanghai, 200433, China.
Purpose: In this retrospective study, whether [Ga]Ga-DOTA-FAPI-04 PET/MR imaging biomarkers can predict the progression-free survival (PFS) and overall survival (OS) of patients with advanced pancreatic cancer was investigated.
Methods: Fifty-one patients who underwent [Ga]Ga-DOTA-FAPI-04 PET/MR scans before first-line chemotherapy were recruited. Imaging biomarkers, including the maximum tumor diameter, minimum apparent diffusion coefficient (ADC), maximum and mean standardized uptake values (SUV and SUV), fibroblast activation protein- (FAP-) positive tumor volume (FTV and W-FTV) and total lesion FAP expression (TLF and W-TLF), were recorded for primary and whole-body tumors.