Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Purpose: To assess the relationship between apparent diffusion coefficients (ADC) and standard uptake values (SUV) of pediatric sarcomas at staging by using volumetric histograms analyses.

Methods: Children with histologically proven sarcoma, referring to our tertiary center for a whole-body F-FDG PET/MRI for staging and including diffusion weighted imaging in the MRI protocol were investigated. Firstly, turbo inversion recovery magnitude (TIRM) and PET images were resliced and resampled according to the ADC maps. Regions of interests were drawn along tumor margins on TIRM images and then copied on PET and ADC datasets. Pixel-based SUVs and ADCs were collected from the entire volume of each lesion. Mean, median, skewness, and kurtosis of SUVs and ADCs values were computed, and the Pearson correlation coefficient was then applied (for the entire population and for histological subgroups with more than five patients).

Results: Thirteen patients met the inclusion criteria (six females; mean age 8.31 ± 6.03 years). Histology revealed nine rhabdomyosarcomas, three Ewing sarcomas, and one chondroblastic osteosarcoma. A significant negative correlation between ADCs' and SUVs' mean (r = - 0.501, P < 0.001), median (r = - 0.519, P < 0,001), and skewness (r = - 0.550, P < 0.001) emerged for the entire population and for rhabdomyosarcomas (r = - 0.541, P = 0.001, r = - 0.597, P < 0.001, r = - 0.568, P < 0.001), whereas a significant positive correlation was found for kurtosis (r = 0.346, P < 0.001, and r = 0.348, P < 0.001 for the entire population and for rhabdomyosarcomas, respectively).

Conclusion: Our preliminary results demonstrate that, using volumetric histograms, simultaneously collected SUVs and ADCs are dependent biomarkers in pediatric FDG-avid sarcomas. Further studies, on a larger population, are necessary to confirm this evidence and assess its clinical implications.

Download full-text PDF

Source
http://dx.doi.org/10.1007/s11547-021-01340-0DOI Listing

Publication Analysis

Top Keywords

apparent diffusion
8
diffusion coefficients
8
standard uptake
8
uptake values
8
suvs adcs
8
volumetric histograms-based
4
histograms-based analysis
4
analysis apparent
4
coefficients standard
4
values assessment
4

Similar Publications

Prognostic value of multiparameter [Ga]Ga-DOTA-FAPI-04 PET/MR imaging biomarkers for patients with advanced pancreatic cancer.

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.

View Article and Find Full Text PDF

[Glomangiomatosis of uncertain malignant potential: a clinicopathological and genetic analysis].

Zhonghua Bing Li Xue Za Zhi

September 2025

Department of Pathology, Henan Provincial People's Hospital, Zhengzhou University People's Hospital, Zhengzhou 450003, China.

To investigate the clinicopathological features, genetic characteristics, and differential diagnosis of glomangiomatosis with uncertain malignant potential. Two cases of glomangiomatosis with uncertain malignant potential were collected at Henan Provincial People's Hospital from 2013 and 2023. Immunohistochemistry and next generation sequencing (DNA-seq) were used to detect the related protein and gene variation.

View Article and Find Full Text PDF

Purpose: To develop a magnetic resonance imaging (MRI)-based radiomics nomogram to predict lymphovascular space invasion (LVSI) status in patients with early-stage cervical adenocarcinoma (CAC).

Methods: Clinicopathological and MRI data from 310 patients with histopathologically confirmed early-stage CAC were retrospectively analyzed. Patients were divided into training (n = 186) and validation (n = 124) cohorts.

View Article and Find Full Text PDF

This study presents a comprehensive analysis of the swelling behavior of poly-(ethylene glycol) (PEG)-based hydrogels of different molecular weights under various conditions. The rheological response and swelling kinetics of PEG hydrogels with molecular weight between cross-links ranging from 700 to 10 000 g/mol reveal the connection between architecture and material properties that are important for soft actuators. In addition to providing insight into the network structure and cross-linking density, rheological measurements find that the shear moduli of the networks increase with the degree of water swelling.

View Article and Find Full Text PDF

Clear cell renal cell carcinoma (ccRCC) is a malignant tumor, originating from the renal epithelium, and accounts for ~85% of RCC cases. The present study aimed to validate the efficacy of an MRI deep learning (DL) model to preoperatively predict the pathological grading of ccRCC. Therefore, a DL algorithm was constructed and trained using diffusion weighted imaging (DWI) and diffusion kurtosis imaging (DKI) sequence images.

View Article and Find Full Text PDF