Association Between MRI‐Based Radiomics Features and Regional Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma and Its Clinical Outcome
Background Regional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has limitations for identifying LNM. Purpose To investigate the association between MRI radiomics features, regional LNM status, and prog...
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Published in | Journal of magnetic resonance imaging Vol. 61; no. 2; pp. 997 - 1010 |
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Main Authors | , , , , , , , , , |
Format | Journal Article |
Language | English |
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Hoboken, USA
John Wiley & Sons, Inc
01.02.2025
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Abstract | Background
Regional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has limitations for identifying LNM.
Purpose
To investigate the association between MRI radiomics features, regional LNM status, and prognosis in iCCA.
Study Type
Retrospective.
Subjects
Two hundred ninety‐six patients (male = 197) with surgically confirmed iCCA.
Field Strength/Sequence
1.5 T and 3.0 T. DWI, T2WI, and contrast‐enhanced T1WI.
Assessment
Clinical information, radiologic, and MRI‐based radiomics features associated with LNM status were collected to establish models. Performance of MRI, PET/CT, and the combined LNM models were compared in training (N = 207) and test (N = 89) datasets. Overall survival (OS) was compared based on LNM status.
Statistical Tests
The independent features were selected by 5‐fold cross‐validation. The performance of MRI, PET/CT, and the models was evaluated using the area under receiver operating characteristic curve (AUC). Univariable and multivariable Cox regression were used to identify independent variables for OS. Kaplan–Meier curves were compared with the log‐rank test between LNM positive and negative groups. P < 0.05 was considered statistically significant.
Results
Intrahepatic duct dilatation, enhancement pattern, and CA19‐9 were independent clinicoradiologic features. The radiomics model was constructed by the independent radiomics features extracted from T2WI and delay phase T1WI. The combined LNM model showed AUC of 0.888, 0.884, and 0.811 in training, validation, and test cohorts with a positive net benefit. PET/CT exhibited similar sensitivity to the combined LNM model (0.750 vs. 0.733, P > 0.999) while the combined LNM model showed higher specificity (0.703 vs. 0.630, P = 0.039) in the test cohort. High risk of regional LNM was significantly associated with worse OS (median: 24 months) than low risk (median: 30 months, P < 0.0001).
Data Conclusions
The combined LNM model has the strongest correlation with LNM status for mass‐forming iCCA patients.
Evidence Level
3
Technical Efficacy
Stage 2 |
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AbstractList | Background
Regional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has limitations for identifying LNM.
Purpose
To investigate the association between MRI radiomics features, regional LNM status, and prognosis in iCCA.
Study Type
Retrospective.
Subjects
Two hundred ninety‐six patients (male = 197) with surgically confirmed iCCA.
Field Strength/Sequence
1.5 T and 3.0 T. DWI, T2WI, and contrast‐enhanced T1WI.
Assessment
Clinical information, radiologic, and MRI‐based radiomics features associated with LNM status were collected to establish models. Performance of MRI, PET/CT, and the combined LNM models were compared in training (N = 207) and test (N = 89) datasets. Overall survival (OS) was compared based on LNM status.
Statistical Tests
The independent features were selected by 5‐fold cross‐validation. The performance of MRI, PET/CT, and the models was evaluated using the area under receiver operating characteristic curve (AUC). Univariable and multivariable Cox regression were used to identify independent variables for OS. Kaplan–Meier curves were compared with the log‐rank test between LNM positive and negative groups. P < 0.05 was considered statistically significant.
Results
Intrahepatic duct dilatation, enhancement pattern, and CA19‐9 were independent clinicoradiologic features. The radiomics model was constructed by the independent radiomics features extracted from T2WI and delay phase T1WI. The combined LNM model showed AUC of 0.888, 0.884, and 0.811 in training, validation, and test cohorts with a positive net benefit. PET/CT exhibited similar sensitivity to the combined LNM model (0.750 vs. 0.733, P > 0.999) while the combined LNM model showed higher specificity (0.703 vs. 0.630, P = 0.039) in the test cohort. High risk of regional LNM was significantly associated with worse OS (median: 24 months) than low risk (median: 30 months, P < 0.0001).
Data Conclusions
The combined LNM model has the strongest correlation with LNM status for mass‐forming iCCA patients.
Evidence Level
3
Technical Efficacy
Stage 2 Regional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has limitations for identifying LNM. To investigate the association between MRI radiomics features, regional LNM status, and prognosis in iCCA. Retrospective. Two hundred ninety-six patients (male = 197) with surgically confirmed iCCA. 1.5 T and 3.0 T. DWI, T2WI, and contrast-enhanced T1WI. Clinical information, radiologic, and MRI-based radiomics features associated with LNM status were collected to establish models. Performance of MRI, PET/CT, and the combined LNM models were compared in training (N = 207) and test (N = 89) datasets. Overall survival (OS) was compared based on LNM status. The independent features were selected by 5-fold cross-validation. The performance of MRI, PET/CT, and the models was evaluated using the area under receiver operating characteristic curve (AUC). Univariable and multivariable Cox regression were used to identify independent variables for OS. Kaplan-Meier curves were compared with the log-rank test between LNM positive and negative groups. P < 0.05 was considered statistically significant. Intrahepatic duct dilatation, enhancement pattern, and CA19-9 were independent clinicoradiologic features. The radiomics model was constructed by the independent radiomics features extracted from T2WI and delay phase T1WI. The combined LNM model showed AUC of 0.888, 0.884, and 0.811 in training, validation, and test cohorts with a positive net benefit. PET/CT exhibited similar sensitivity to the combined LNM model (0.750 vs. 0.733, P > 0.999) while the combined LNM model showed higher specificity (0.703 vs. 0.630, P = 0.039) in the test cohort. High risk of regional LNM was significantly associated with worse OS (median: 24 months) than low risk (median: 30 months, P < 0.0001). The combined LNM model has the strongest correlation with LNM status for mass-forming iCCA patients. 3 TECHNICAL EFFICACY: Stage 2. Regional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has limitations for identifying LNM.BACKGROUNDRegional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has limitations for identifying LNM.To investigate the association between MRI radiomics features, regional LNM status, and prognosis in iCCA.PURPOSETo investigate the association between MRI radiomics features, regional LNM status, and prognosis in iCCA.Retrospective.STUDY TYPERetrospective.Two hundred ninety-six patients (male = 197) with surgically confirmed iCCA.SUBJECTSTwo hundred ninety-six patients (male = 197) with surgically confirmed iCCA.1.5 T and 3.0 T. DWI, T2WI, and contrast-enhanced T1WI.FIELD STRENGTH/SEQUENCE1.5 T and 3.0 T. DWI, T2WI, and contrast-enhanced T1WI.Clinical information, radiologic, and MRI-based radiomics features associated with LNM status were collected to establish models. Performance of MRI, PET/CT, and the combined LNM models were compared in training (N = 207) and test (N = 89) datasets. Overall survival (OS) was compared based on LNM status.ASSESSMENTClinical information, radiologic, and MRI-based radiomics features associated with LNM status were collected to establish models. Performance of MRI, PET/CT, and the combined LNM models were compared in training (N = 207) and test (N = 89) datasets. Overall survival (OS) was compared based on LNM status.The independent features were selected by 5-fold cross-validation. The performance of MRI, PET/CT, and the models was evaluated using the area under receiver operating characteristic curve (AUC). Univariable and multivariable Cox regression were used to identify independent variables for OS. Kaplan-Meier curves were compared with the log-rank test between LNM positive and negative groups. P < 0.05 was considered statistically significant.STATISTICAL TESTSThe independent features were selected by 5-fold cross-validation. The performance of MRI, PET/CT, and the models was evaluated using the area under receiver operating characteristic curve (AUC). Univariable and multivariable Cox regression were used to identify independent variables for OS. Kaplan-Meier curves were compared with the log-rank test between LNM positive and negative groups. P < 0.05 was considered statistically significant.Intrahepatic duct dilatation, enhancement pattern, and CA19-9 were independent clinicoradiologic features. The radiomics model was constructed by the independent radiomics features extracted from T2WI and delay phase T1WI. The combined LNM model showed AUC of 0.888, 0.884, and 0.811 in training, validation, and test cohorts with a positive net benefit. PET/CT exhibited similar sensitivity to the combined LNM model (0.750 vs. 0.733, P > 0.999) while the combined LNM model showed higher specificity (0.703 vs. 0.630, P = 0.039) in the test cohort. High risk of regional LNM was significantly associated with worse OS (median: 24 months) than low risk (median: 30 months, P < 0.0001).RESULTSIntrahepatic duct dilatation, enhancement pattern, and CA19-9 were independent clinicoradiologic features. The radiomics model was constructed by the independent radiomics features extracted from T2WI and delay phase T1WI. The combined LNM model showed AUC of 0.888, 0.884, and 0.811 in training, validation, and test cohorts with a positive net benefit. PET/CT exhibited similar sensitivity to the combined LNM model (0.750 vs. 0.733, P > 0.999) while the combined LNM model showed higher specificity (0.703 vs. 0.630, P = 0.039) in the test cohort. High risk of regional LNM was significantly associated with worse OS (median: 24 months) than low risk (median: 30 months, P < 0.0001).The combined LNM model has the strongest correlation with LNM status for mass-forming iCCA patients.DATA CONCLUSIONSThe combined LNM model has the strongest correlation with LNM status for mass-forming iCCA patients.3 TECHNICAL EFFICACY: Stage 2.EVIDENCE LEVEL3 TECHNICAL EFFICACY: Stage 2. BackgroundRegional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has limitations for identifying LNM.PurposeTo investigate the association between MRI radiomics features, regional LNM status, and prognosis in iCCA.Study TypeRetrospective.SubjectsTwo hundred ninety‐six patients (male = 197) with surgically confirmed iCCA.Field Strength/Sequence1.5 T and 3.0 T. DWI, T2WI, and contrast‐enhanced T1WI.AssessmentClinical information, radiologic, and MRI‐based radiomics features associated with LNM status were collected to establish models. Performance of MRI, PET/CT, and the combined LNM models were compared in training (N = 207) and test (N = 89) datasets. Overall survival (OS) was compared based on LNM status.Statistical TestsThe independent features were selected by 5‐fold cross‐validation. The performance of MRI, PET/CT, and the models was evaluated using the area under receiver operating characteristic curve (AUC). Univariable and multivariable Cox regression were used to identify independent variables for OS. Kaplan–Meier curves were compared with the log‐rank test between LNM positive and negative groups. P < 0.05 was considered statistically significant.ResultsIntrahepatic duct dilatation, enhancement pattern, and CA19‐9 were independent clinicoradiologic features. The radiomics model was constructed by the independent radiomics features extracted from T2WI and delay phase T1WI. The combined LNM model showed AUC of 0.888, 0.884, and 0.811 in training, validation, and test cohorts with a positive net benefit. PET/CT exhibited similar sensitivity to the combined LNM model (0.750 vs. 0.733, P > 0.999) while the combined LNM model showed higher specificity (0.703 vs. 0.630, P = 0.039) in the test cohort. High risk of regional LNM was significantly associated with worse OS (median: 24 months) than low risk (median: 30 months, P < 0.0001).Data ConclusionsThe combined LNM model has the strongest correlation with LNM status for mass‐forming iCCA patients.Evidence Level3Technical EfficacyStage 2 |
Author | Zhang, Yunfei Yang, Chun Zeng, Mengsu Qian, Xianling Chen, Lei Zhou, Changwu Ni, Xiaoyan Wang, Fang Miao, Gengyun Huang, Peng |
Author_xml | – sequence: 1 givenname: Xianling surname: Qian fullname: Qian, Xianling organization: Fudan University – sequence: 2 givenname: Xiaoyan surname: Ni fullname: Ni, Xiaoyan organization: Fudan University – sequence: 3 givenname: Gengyun surname: Miao fullname: Miao, Gengyun organization: Fudan University – sequence: 4 givenname: Fang surname: Wang fullname: Wang, Fang organization: Shanghai United Imaging Intelligence Co., Ltd – sequence: 5 givenname: Changwu surname: Zhou fullname: Zhou, Changwu organization: Fudan University – sequence: 6 givenname: Peng surname: Huang fullname: Huang, Peng organization: Fudan University – sequence: 7 givenname: Yunfei surname: Zhang fullname: Zhang, Yunfei organization: United Imaging Healthcare – sequence: 8 givenname: Lei surname: Chen fullname: Chen, Lei organization: Shanghai United Imaging Intelligence Co., Ltd – sequence: 9 givenname: Chun surname: Yang fullname: Yang, Chun email: dryangchun@hotmail.com organization: Fudan University – sequence: 10 givenname: Mengsu orcidid: 0000-0001-6107-3623 surname: Zeng fullname: Zeng, Mengsu email: zeng.mengsu@zs-hospital.sh.cn organization: Fudan University |
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Keywords | radiomics magnetic resonance imaging lymphatic metastasis intrahepatic cholangiocarcinoma |
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Regional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging... Regional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging assessment has... BackgroundRegional lymph node metastasis (LNM) assessment is crucial for predicting intrahepatic cholangiocarcinoma (iCCA) prognosis. However, imaging... |
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SubjectTerms | Adult Aged Bile Duct Neoplasms - diagnostic imaging Bile Duct Neoplasms - pathology Cholangiocarcinoma Cholangiocarcinoma - diagnostic imaging Computed tomography Contrast Media Feature extraction Female Field strength Humans Independent variables intrahepatic cholangiocarcinoma Lymph nodes Lymph Nodes - diagnostic imaging Lymph Nodes - pathology lymphatic metastasis Lymphatic Metastasis - diagnostic imaging Lymphatic system Magnetic resonance imaging Magnetic Resonance Imaging - methods Male Median (statistics) Medical imaging Medical prognosis Metastases Metastasis Middle Aged Performance evaluation Positron emission Positron Emission Tomography Computed Tomography Prognosis Radiomics Rank tests Regional analysis Regression analysis Retrospective Studies ROC Curve Sensitivity analysis Statistical analysis Statistical tests Training |
Title | Association Between MRI‐Based Radiomics Features and Regional Lymph Node Metastasis in Intrahepatic Cholangiocarcinoma and Its Clinical Outcome |
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