Comparison of MRI and CT‐Based Radiomics and Their Combination for Early Identification of Pathological Response to Neoadjuvant Chemotherapy in Locally Advanced Gastric Cancer

Background Current radiomics for treatment response assessment in gastric cancer (GC) have focused solely on Computed tomography (CT). The importance of multi‐parametric magnetic resonance imaging (mp‐MRI) radiomics in GC is less clear. Purpose To compare and combine CT and mp‐MRI radiomics for pret...

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Bibliographic Details
Published in:Journal of magnetic resonance imaging 2023-09, Vol.58 (3), p.907-923
Main Authors: Li, Jing, Zhang, Hui‐ling, Yin, Hong‐kun, Zhang, Hong‐kai, Wang, Yi, Xu, Shu‐ning, Ma, Fei, Gao, Jian‐bo, Li, Hai‐liang, Qu, Jin‐rong
Format: Article
Language:English
Subjects:
Cancer
Chemotherapy
Computed tomography
Datasets
Diffusion coefficient
Diffusion rate
Gastric cancer
Magnetic resonance imaging
Medical imaging
neoadjuvant chemotherapy
Nomograms
Patients
Performance evaluation
Population studies
Radiomics
Statistical analysis
Statistical tests
stomach neoplasm
Survival
Survival analysis
Training
X‐ray
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Summary:Background Current radiomics for treatment response assessment in gastric cancer (GC) have focused solely on Computed tomography (CT). The importance of multi‐parametric magnetic resonance imaging (mp‐MRI) radiomics in GC is less clear. Purpose To compare and combine CT and mp‐MRI radiomics for pretreatment identification of pathological response to neoadjuvant chemotherapy in GC. Study Type Retrospective. Population Two hundred twenty‐five GC patients were recruited and split into training (157) and validation dataset (68) in the ratio of 7:3 randomly. Field/Sequence T2‐weighted fast spin echo (fat suppressed T2‐weighted imaging [fs‐T2WI]), diffusion weighted echo planar imaging (DWI), and fast gradient echo (dynamic contrast enhanced [DCE]) sequences at 3.0T. Assessment Apparent diffusion coefficient (ADC) maps were generated from DWI. CT, fs‐T2WI, ADC, DCE, and mp‐MRI Radiomics score (Radscores) were compared between responders and non‐responders. A multimodal nomogram combining CT and mp‐MRI Radscores was developed. Patients were followed up for 3–65 months (median 19) after surgery, the overall survival (OS) and progression free survival (PFS) were calculated. Statistical Tests A logistic regression classifier was applied to construct the five models. Each model's performance was evaluated using a receiver operating characteristic curve. The association of the nomogram with OS/PFS was evaluated by Kaplan–Meier survival analysis and C‐index. A P value
ISSN:1053-1807
1522-2586
DOI:10.1002/jmri.28570