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©The Author(s) 2025.
World J Radiol. Aug 28, 2025; 17(8): 110307
Published online Aug 28, 2025. doi: 10.4329/wjr.v17.i8.110307
Published online Aug 28, 2025. doi: 10.4329/wjr.v17.i8.110307
Table 1 Clinical and pathological characteristics of 210 esophageal cancer patients
Characteristics | Primary cohort | P value | Validation cohort | P value | ||
Stage I-II | Stage III-IV | Stage I-II | Stage III-IV | |||
Age (years) | 62.0 | 61.0 | 0.548 | 62.5 | 64.0 | 0.842 |
Gender | 0.073 | 0.613 | ||||
Male | 50 | 63 | 24 | 28 | ||
Female | 21 | 13 | 6 | 5 | ||
Location | 0.33 | 0.705 | ||||
Upper | 2 | 6 | 2 | 2 | ||
Middle | 47 | 51 | 17 | 22 | ||
Lower | 22 | 19 | 11 | 9 |
Table 2 Selected radiomics features of esophageal cancer patients
Task | MRI | Feature name | Coefficient |
Tumor node metastasis stage prediction | T2WI | ||
Original_firstorder_Median | 0.921642536 | ||
Original_shape_Elongation | 0.967002183 | ||
Original_glcm_Correlation | 0.246781324 | ||
T1WI-Gd | |||
Original_shape_LeastAxisLength | 0.875999143 | ||
Original_shape_Elongation | 0.967002356 | ||
Original_glcm_DifferenceAverage | 0.109732763 | ||
Original_firstorder_Kurtosis | 0.605404872 | ||
Original_firstorder_Median | 0.921642536 | ||
Original_glszm_LowGrayLevelZoneEmphasis | 0.274812737 | ||
Original_glcm_Imc1 | 0.638235237 | ||
Original_gldm_LargeDependenceHighGrayLevelEmphasis | 0.209360630 | ||
Original_shape_MajorAxisLength | 0.149464274 | ||
Original_ngtdm_Strength | 0.214134941 | ||
Original_glcm_Idn | 0.983044251 | ||
Original_firstorder_10Percentile | 0.303070619 | ||
Original_glszm_SizeZoneNonUniformity | 0.126542445 | ||
Original_ngtdm_Complexity | 0.524606933 |
Table 3 Delong test results in the primary and validation cohort
Model | Primary cohort | Validation cohort | ||||
T2WI | T1WI | Combined | T2WI | T1WI | Combined | |
T2WI | 0 | 0.081 | 0.0035 | 0 | 0.27 | 0.09 |
T1WI | -1.74 | 0 | 0.19 | -1.09 | 0 | 0.80 |
Combined | -2.95 | -1.30 | 0 | -1.65 | -0.25 | 0 |
Table 4 Model performance for predicting tumor node metastasis stages in esophageal cancer patients
Model | Primary cohort | Validation cohorts | ||||
AUC (95%CI) | SEN (95%CI) | SPE (95%CI) | AUC (95%CI) | SEN (95%CI) | SPE (95%CI) | |
T2WI | 0.788 (0.712, 0.858) | 0.75 (0.642, 0.834) | 0.746 (0.634, 0.833) | 0.779 (0.651, 0.892) | 0.667 (0.496, 0.803) | 0.8 (0.627, 0.905) |
T1WI | 0.859 (0.799, 0.919) | 0.829 (0.729, 0.897) | 0.789 (0.681, 0.868) | 0.844 (0.728, 0.941) | 0.636 (0.466, 0.778) | 0.8 (0.627, 0.905) |
Combined | 0.877 (0.819, 0.929) | 0.842 (0.744, 0.907) | 0.761 (0.65, 0.845) | 0.851 (0.739, 0.948) | 0.697 (0.527, 0.826) | 0.8 (0.627, 0.905) |
- Citation: Yang RH, Lin ZP, Dong T, Fan WX, Qin HD, Jiang GH, Dai HY. Magnetic resonance imaging-based radiomics signature for predicting preoperative staging of esophageal cancer. World J Radiol 2025; 17(8): 110307
- URL: https://www.wjgnet.com/1949-8470/full/v17/i8/110307.htm
- DOI: https://dx.doi.org/10.4329/wjr.v17.i8.110307