JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2021, Vol. 41 ›› Issue (9): 1233-1239.doi: 10.3969/j.issn.1674-8115.2021.09.015
• Clinical research • Previous Articles
Jun-lin HE1,2(), Qing LU3, Xin XU4, Shu-dong HU5(
)
Received:
2021-01-18
Online:
2021-08-03
Published:
2021-08-03
Contact:
Shu-dong HU
E-mail:912211529@qq.com;hsd2001054@163.com
CLC Number:
Jun-lin HE, Qing LU, Xin XU, Shu-dong HU. Value of CT radiomic features in preoperative prediction of cervical lymph node metastasis in patients with papillary thyroid carcinoma[J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(9): 1233-1239.
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URL: https://xuebao.shsmu.edu.cn/EN/10.3969/j.issn.1674-8115.2021.09.015
Item | CLNM group (n=55) | Non-CLNM group (n=69) | t value | P value | Item | CLNM group (n=55) | Non-CLNM group (n=69) | t value | P value |
---|---|---|---|---|---|---|---|---|---|
Age/year | 52.8±12.8 | 48.3±13.5 | 0.139 | 0.063 | Isthmus | 3 (5.5) | 0 (0) | ||
Age group/n(%) | 4.051 | 0.044 | Right lobe | 22 (40.0) | 38 (55.1) | ||||
≥50 | 37 (67.3) | 34 (49.3) | Calcification/n(%) | 0.116 | 0.733 | ||||
<50 | 18 (32.7) | 35 (50.7) | Negative | 28 (50.9) | 33 (47.8) | ||||
Gender/n(%) | 0.304 | 0.581 | Positive | 27 (49.1) | 36 (52.2) | ||||
Male | 12 (21.8) | 18 (26.1) | Boundary①/n(%) | 1.125 | 0.289 | ||||
Female | 43 (78.2) | 51 (73.9) | Distinct | 12 (21.8) | 10 (14.5) | ||||
Shape/n(%) | 1.360 | 0.713 | Indistinct | 43 (78.2) | 59 (85.5) | ||||
Irregular | 43 (78.2) | 52 (75.4) | Capsule invasion/n(%) | 5.731 | 0.025 | ||||
Regular | 12 (21.8) | 17 (24.6) | Negative | 4 (7.3) | 16 (23.2) | ||||
Length to diameter/n(%) | 2.285 | 0.131 | Positive | 51 (92.7) | 53 (76.8) | ||||
≤1.0 | 26 (47.3) | 42 (60.9) | ETE/n(%) | 8.801 | 0.004 | ||||
>1.0 | 29 (52.7) | 27 (39.1) | Negative | 27 (49.1) | 51 (73.9) | ||||
Location/n(%) | 5.776 | 0.056 | Positive | 28 (50.9) | 18 (26.1) | ||||
Left lobe | 30 (54.5) | 31 (44.9) |
Tab1 Baseline and clinical information of PTC patients(N=124)
Item | CLNM group (n=55) | Non-CLNM group (n=69) | t value | P value | Item | CLNM group (n=55) | Non-CLNM group (n=69) | t value | P value |
---|---|---|---|---|---|---|---|---|---|
Age/year | 52.8±12.8 | 48.3±13.5 | 0.139 | 0.063 | Isthmus | 3 (5.5) | 0 (0) | ||
Age group/n(%) | 4.051 | 0.044 | Right lobe | 22 (40.0) | 38 (55.1) | ||||
≥50 | 37 (67.3) | 34 (49.3) | Calcification/n(%) | 0.116 | 0.733 | ||||
<50 | 18 (32.7) | 35 (50.7) | Negative | 28 (50.9) | 33 (47.8) | ||||
Gender/n(%) | 0.304 | 0.581 | Positive | 27 (49.1) | 36 (52.2) | ||||
Male | 12 (21.8) | 18 (26.1) | Boundary①/n(%) | 1.125 | 0.289 | ||||
Female | 43 (78.2) | 51 (73.9) | Distinct | 12 (21.8) | 10 (14.5) | ||||
Shape/n(%) | 1.360 | 0.713 | Indistinct | 43 (78.2) | 59 (85.5) | ||||
Irregular | 43 (78.2) | 52 (75.4) | Capsule invasion/n(%) | 5.731 | 0.025 | ||||
Regular | 12 (21.8) | 17 (24.6) | Negative | 4 (7.3) | 16 (23.2) | ||||
Length to diameter/n(%) | 2.285 | 0.131 | Positive | 51 (92.7) | 53 (76.8) | ||||
≤1.0 | 26 (47.3) | 42 (60.9) | ETE/n(%) | 8.801 | 0.004 | ||||
>1.0 | 29 (52.7) | 27 (39.1) | Negative | 27 (49.1) | 51 (73.9) | ||||
Location/n(%) | 5.776 | 0.056 | Positive | 28 (50.9) | 18 (26.1) | ||||
Left lobe | 30 (54.5) | 31 (44.9) |
Fig 2 10-fold ROC curve of the maximum AUC in RF classification models of the pre-contrast phase (A), arterial phase (B) and venous phase (C) of patients with PTC
Iteration | Training set | Validation set | Pre-contrast phase [top(k)=56] | Arterial phase [top(k)=94] | Venous phase [top(k)=47] | |||
---|---|---|---|---|---|---|---|---|
Accuracy | AUC | Accuracy | AUC | Accuracy | AUC | |||
1 | 111 | 13 | 0.846 | 0.810 | 0.615 | 0.690 | 0.846 | 0.857 |
2 | 111 | 13 | 0.846 | 0.833 | 0.692 | 0.800 | 0.692 | 0.817 |
3 | 111 | 13 | 0.538 | 0.762 | 0.615 | 0.476 | 0.615 | 0.595 |
4 | 111 | 13 | 0.769 | 0.925 | 0.692 | 0.800 | 0.692 | 0.950 |
5 | 111 | 13 | 0.917 | 0.972 | 0.750 | 0.861 | 1.000 | 1.000 |
6 | 111 | 13 | 0.583 | 0.812 | 0.583 | 0.969 | 0.500 | 0.469 |
7 | 111 | 13 | 0.833 | 0.815 | 0.833 | 0.889 | 0.750 | 0.852 |
8 | 111 | 13 | 0.750 | 0.829 | 0.667 | 0.714 | 0.750 | 0.771 |
9 | 111 | 13 | 0.833 | 0.914 | 0.750 | 0.771 | 0.667 | 0.743 |
10 | 111 | 13 | 0.750 | 0.704 | 0.750 | 0.778 | 0.750 | 0.778 |
Average AUC | ‒ | ‒ | 0.767 | 0.843 | 0.695 | 0.775 | 0.726 | 0.783 |
Tab 2 Results of 10-fold cross-validation of RF classification model in pre-contrast phase,arterial phase and venous phase of patients with PTC
Iteration | Training set | Validation set | Pre-contrast phase [top(k)=56] | Arterial phase [top(k)=94] | Venous phase [top(k)=47] | |||
---|---|---|---|---|---|---|---|---|
Accuracy | AUC | Accuracy | AUC | Accuracy | AUC | |||
1 | 111 | 13 | 0.846 | 0.810 | 0.615 | 0.690 | 0.846 | 0.857 |
2 | 111 | 13 | 0.846 | 0.833 | 0.692 | 0.800 | 0.692 | 0.817 |
3 | 111 | 13 | 0.538 | 0.762 | 0.615 | 0.476 | 0.615 | 0.595 |
4 | 111 | 13 | 0.769 | 0.925 | 0.692 | 0.800 | 0.692 | 0.950 |
5 | 111 | 13 | 0.917 | 0.972 | 0.750 | 0.861 | 1.000 | 1.000 |
6 | 111 | 13 | 0.583 | 0.812 | 0.583 | 0.969 | 0.500 | 0.469 |
7 | 111 | 13 | 0.833 | 0.815 | 0.833 | 0.889 | 0.750 | 0.852 |
8 | 111 | 13 | 0.750 | 0.829 | 0.667 | 0.714 | 0.750 | 0.771 |
9 | 111 | 13 | 0.833 | 0.914 | 0.750 | 0.771 | 0.667 | 0.743 |
10 | 111 | 13 | 0.750 | 0.704 | 0.750 | 0.778 | 0.750 | 0.778 |
Average AUC | ‒ | ‒ | 0.767 | 0.843 | 0.695 | 0.775 | 0.726 | 0.783 |
Order | Pre-contrast phase | Arterial phase | Venous phase |
---|---|---|---|
1 | Original_glcm_DifferenceAverage | Original_glcm_DifferenceVariance | Original_glcm_DifferenceVariance |
2 | Original_firstorder_Variance | Original_glcm_ClusterProminence | Original_glcm_Contrast |
3 | Original_glrlm_RunPercentage | Original_glcm_Contrast | Original_glrlm_ShortRunEmphasis |
4 | Original_glszm_GrayLevelNonUniformityNormalized | Original_firstorder_Kurtosis | Original_glszm_SmallAreaLowGrayLevelEmphasis |
5 | Original_glcm_SumSquares | Original_glcm_ClusterShade | Original_glcm_ClusterProminence |
6 | Original_glcm_JointEntropy | Original_shape_Maximum3DDiameter | Original_glrlm_RunVariance |
7 | Original_glcm_SumAverage | Original_glrlm_GrayLevelVariance | Original_firstorder_Skewness |
8 | Original_glcm_Contrast | Original_gldm_DependenceVariance | Original_glcm_MaximumProbability |
9 | Original_ngtdm_Strength | Original_glcm_SumSquares | Original_glcm_DifferenceAverage |
10 | Original_gldm_DependenceNonUniformityNormalized | Original_glcm_DifferenceEntropy | Original_glcm_ClusterShade |
Tab 3 Top 10 radiomic features in RF classification model of pre-contrast, arterial and venous phase of PTC patients(N=124)
Order | Pre-contrast phase | Arterial phase | Venous phase |
---|---|---|---|
1 | Original_glcm_DifferenceAverage | Original_glcm_DifferenceVariance | Original_glcm_DifferenceVariance |
2 | Original_firstorder_Variance | Original_glcm_ClusterProminence | Original_glcm_Contrast |
3 | Original_glrlm_RunPercentage | Original_glcm_Contrast | Original_glrlm_ShortRunEmphasis |
4 | Original_glszm_GrayLevelNonUniformityNormalized | Original_firstorder_Kurtosis | Original_glszm_SmallAreaLowGrayLevelEmphasis |
5 | Original_glcm_SumSquares | Original_glcm_ClusterShade | Original_glcm_ClusterProminence |
6 | Original_glcm_JointEntropy | Original_shape_Maximum3DDiameter | Original_glrlm_RunVariance |
7 | Original_glcm_SumAverage | Original_glrlm_GrayLevelVariance | Original_firstorder_Skewness |
8 | Original_glcm_Contrast | Original_gldm_DependenceVariance | Original_glcm_MaximumProbability |
9 | Original_ngtdm_Strength | Original_glcm_SumSquares | Original_glcm_DifferenceAverage |
10 | Original_gldm_DependenceNonUniformityNormalized | Original_glcm_DifferenceEntropy | Original_glcm_ClusterShade |
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