Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Background: Cross-sectional tumor measures are traditional clinical trial endpoints; however volumetric measures may better assess tumor growth. We determined the correlation and compared the prognostic impact of cross-sectional and volumetric measures of progressive disease (PD) among patients with DIPG.

Methods: Imaging and clinical data were abstracted from the International DIPG Registry. Tumor volume and cross-sectional product (CP) were measured with mint Lesion™ software using manual contouring. Correlation between CP and volume (segmented and mathematical [ellipsoid] model) thresholds of PD were assessed by linear regression. Landmark analyses determined differences in survival (via log-rank) between patients classified as PD versus non-PD by CP and volumetric measurements at 1, 3, 5, 7, and 9 months postradiotherapy (RT). Hazard ratios (HR) for survival after these time points were calculated by Cox regression.

Results: A total of 312 MRIs (46 patients) were analyzed. Comparing change from the previous smallest measure, CP increase of 25% (PD) correlated with a segmented volume increase of 30% (R2 = 0.710), rather than 40% (spherical model extrapolation). CP-determined PD predicted survival at 1 month post-RT (HR = 2.77), but not other time points. Segmented volumetric-determined PD (40% threshold) predicted survival at all imaging timepoints (HRs = 2.57, 2.62, 3.35, 2.71, 16.29), and 30% volumetric PD threshold predicted survival at 1, 3, 5, and 9 month timepoints (HRs = 2.57, 2.62, 4.65, 5.54). Compared to ellipsoid volume, segmented volume demonstrated superior survival associations.

Conclusions: Segmented volumetric assessments of PD correlated better with survival than CP or ellipsoid volume at most time points. Semiautomated tumor volume likely represents a more accurate, prognostically-relevant measure of disease burden in DIPG.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9435485PMC
http://dx.doi.org/10.1093/neuonc/noac037DOI Listing

Publication Analysis

Top Keywords

time points
12
predicted survival
12
volumetric measures
8
tumor volume
8
volume segmented
8
segmented volume
8
survival month
8
threshold predicted
8
timepoints hrs
8
hrs 257
8

Similar Publications

Background: Immune checkpoint inhibitors (ICIs) play a pivotal role in the treatment of advanced gastric cancer (GC). However, the biomarkers used to predict ICI efficacy are limited due to their reliance on single or static tumor characteristics. This study aims to develop a machine learning (ML) model that incorporates dynamic changes in clinlabomics data to optimize the predictive accuracy of ICI efficacy.

View Article and Find Full Text PDF

Purpose: Men with lower urinary tract symptoms (LUTS) from benign prostatic hyperplasia (BPH) often experience erectile dysfunction (ED). While transurethral resection of the prostate (TURP) can improve ED, new-onset ED remains a concern. This study compares monopolar (M-TURP) and bipolar (B-TURP) techniques, with a subgroup analysis based on phosphodiesterase-5 inhibitor (PDE5i) use.

View Article and Find Full Text PDF

Background: Crop pests cause substantial crop yield and economic losses, food insecurity, and negative impacts on human health and environment globally. Timely provision of pest risk alerts - that is, the optimum time to intervene against key pests before invasion or establishment - to smallholder farmers on pest management could improve farm performance. However, there is little quantitative evidence testing this hypothesis.

View Article and Find Full Text PDF

Epigenetic processes, such as DNA methylation, show potential as biological markers and mechanisms underlying gene-environment interplay in the prediction of mental health and other brain-based phenotypes. However, little is known about how peripheral epigenetic patterns relate to individual differences in the brain itself. An increasingly popular approach to address this is by combining epigenetic and neuroimaging data; yet, research in this area is almost entirely comprised of cross-sectional studies in adults.

View Article and Find Full Text PDF

Quality control of drug products is an essential step in pharmaceutical manufacturing. It is often time-consuming and requires expensive equipment. Process analytical technology tools are typically integrated into the manufacturing process to monitor quality, thereby reducing time and costs.

View Article and Find Full Text PDF