Hardik V Patel, Kalpesh J Ilasariya, Vaishal N Vora, Lakdawala Bhaveshkumar M
Attitude Towards the Mentally Ill Among Accredited Social Health Activist (ASHA) Workers in the Ahmedabad City of Gujarat
Indian journal of psychological medicine
clinical differentiation pulmonary metastases noncalcified pulmonary hamartomas ncph often presents challenges leading potential misdiagnosis however efficacy comprehensive model integrates clinical features radiomics deep learning crdl differential diagnosis two diseases remains uncertain study evaluated diagnostic efficacy clinical features radiomics deep learning crdl model differentiating pulmonary metastases noncalcified pulmonary hamartomas ncph retrospectively analyzed clinical imaging data 256 patients hospital 85 patients hospital b pathologically confirmed pulmonary hamartomas pulmonary metastases thoracic surgery employing python 37 software suites extracted radiomic features deep learning attributes patient datasets cohort divided training set internal validation set external validation set diagnostic performance constructed models evaluated using receiver operating characteristic roc curve analysis determine effectiveness differentiating pulmonary metastases ncph clinical features white blood cell count wbc platelet count plt history cancer carcinoembryonic antigen cea level tumor marker status lesion margin characteristics smooth blurred maximum diameter found diagnostic value differentiating two diseases domains radiomics deep learning 1130 radiomics features 512 deep learning features 24 7 respectively selected model development area roc curve auc values four groups 0980 0979 0999 0985 training set 0947 0816 0934 0952 internal validation set 0890 0904 0923 0938 external validation set demonstrated crdl model showed greatest efficacy comprehensive model incorporating clinical features radiomics deep learning shows promise aiding differentiation pulmonary metastases hamartomas