Tumor regression gradeLymph node metastasisEstablishing predictive models for the pathological response and lymph node metastasis in locally advanced rectal cancer (LARC) treated with neoadjuvant chemoradiotherapy (nCRT) based on MRI radiomic features derived from the tumor and mesorectal compartment (MC)....
Tumor regression grade systems could be divided into two main classifications, the relative amount of fibrosis and residual tumor, and the proportion of residual tumor in the tumor bed. However, the definitions of these systems were still need to be improved. Conclusions The tumor regression gradin...
Of the 103 operated patients (88%), a pCR, according to Mandard tumor regression grade (TRG) score, was obtained in 28 patients (27.2%), with TRG1-2 rate of 43.7%. The 3- and 5-year overall survival (OS) rates were 80.2% ± 4.2% and 68.0% ± 5.2%, 72.4% ±...
In participants with locally advanced rectal cancer following neoadjuvantchemotherapy, diffusion-weighted imaging (DWI) improved the ability of MRI toidentify potential pathologic complete response, with DWI-modified MR tumorregression grade enabling accurate prediction of a pathologic complete response(area ...
15 reported an inter-reader agreement study that proposed a tumor regression grading system based on presence and/or absence of residual soft tissue components of pathologically confirmed rectal mucinous adenocarcinomas. In their retrospective cohort of 59 patients, their post-CRT grading system was the...
(i.e. enhancing tumor, non-enhancing tumor, and edema) were first segmented by a deep-learning model and subsequently used as the basis for radiomics feature extraction. These features were then passed to a random forest regression model. The authors explored the predictive capabilities of the ...
Dashed line indicates linear regression model of the data. Source data Full size image Gain of 1q is associated with increased Notch signaling The functional impact of +1q, the most frequent genomic alteration in breast cancer (55–60% of patients), is more enigmatic, although some candidate ...
Complete regression of metastatic cervical cancer after treatment with human papillomavirus-targeted tumor-infiltrating T cells. J Clin Oncol. 2015;33(14):1543–50. Article CAS PubMed PubMed Central Google Scholar Guo J, Luo N, Ai G, Yang W, Zhu J, Li C, Chen R, Zhang C, Liu S, ...
Using logistic regression, we generated a receiver operating characteristic (ROC) curve to define the cutoff for TSi underestimation predicting clinical tumor (T) stage migration. Univariate and multivariate analyses were performed to evaluate predictors of TSi underestimation. Results Of the 231 patients...
Brain tumor detection and patient survival prediction using U-Net and regression model. Int J Imaging Syst Technol. 2022;32(5):1801–14. Article MATH Google Scholar Cui C et al. Survival Prediction of Brain Cancer with Incomplete Radiology, Pathology, Genomic, and Demographic Data. in Medical...