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B1 corrected T1 mapping for distinguishing pathological types and differentiation degrees of lung cancers / 中国医学影像技术
Article in Zh | WPRIM | ID: wpr-1026308
Responsible library: WPRO
ABSTRACT
Objective To observe the value of B1 corrected T1 mapping for distinguishing pathological types and differentiation degrees of lung cancers.Methods A total of 74 lesions in 65 patients with lung cancers were prospectively enrolled,including 49 poorly differentiated lesions and 25 moderately or well differentiated ones,i.e.42 adenocarcinomas,14 squamous cell carcinomas and 18 small cell lung cancers(all poorly differentiated).B1 corrected T1 mapping was performed,ROI(ROI1 and ROI2)were delineated using 2 methods,and T1 values of different pathological types and differentiation degrees lung cancers were compared.The receiver operating characteristic(ROC)curves were drawn,and the areas under the curve(AUC)were calculated.Results Significant differences of T1 values were found among different pathological types of lung cancer(all P<0.05),as well as between small cell lung cancer and the rest 2 types of lung cancer(both P<0.05).There were significant differences of T1 values between poorly differentiated and moderately well differentiated lung cancer(squamous cell carcinoma+adenocarcinoma)(both P<0.05).Taken ROI1 T1 value=1 524.21 ms as the cut-off value,the AUC of T1 value for distinguishing poorly differentiated and moderately well differentiated lung cancer(squamous cell carcinoma+adenocarcinoma)was 0.698,with sensitivity of 64.50%and specificity of 76.00%.Taken ROI2 T1 value=1 630.68 ms as the cut-off value,the AUC of T1 value was 0.676,with sensitivity of 54.80%and specificity of 80.00%.Conclusion B1 corrected T1 mapping was helpful for distinguishing pathological types and differentiation degrees of lung cancers.
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Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2024 Type: Article
Full text: 1 Index: WPRIM Language: Zh Journal: Chinese Journal of Medical Imaging Technology Year: 2024 Type: Article