Integrated radiomics, dose-volume histogram criteria and clinical features for early prediction of saliva amount reduction after radiotherapy in nasopharyngeal cancer patients

[11] Buter J(2018)Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing Imrt Radiol Med (Torino) 9 1288-1329

[12] Aaronson NK(2019)Early prediction of acute xerostomia during radiation therapy for nasopharyngeal cancer based on delta radiomics from Ct images Quant imaging Med Surg 102 1319-2263

[13] Slotman BJ(2018)Early changes in serial Cbct-measured parotid gland biomarkers predict chronic xerostomia after head and neck radiotherapy Int J Radiat Oncol Biol Phys 94 20210340-S96

[14] Leemans CR(2021)Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis? Br J Radiol 28 2255-1318

[15] Lin A(2018)A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from Mr images Eur Radiol 127 S95-1007

[16] Kim HM(2018)Oc-0180: parotid gland fat related magnetic resonance image biomarkers improve prediction of late xerostomia Radiother Oncol 98 e15446-766

[17] Terrell JE(2019)radiomics features analysis of pet images in oropharyngeal and hypopharyngeal cancer Medicine 102 1308-704

[18] Dawson LA(2020)Predicting late radiation-induced xerostomia with parotid gland pet biomarkers and dose metrics Radiother Oncol 190 1001-63

[19] Ship JA(2018)Early prediction of acute xerostomia during radiation therapy for head and neck cancer based on texture analysis of daily Ct Int J Radiat Oncol Biol Phys 19 758-8

[20] Eisbruch A(2014)Early changes of parotid density and volume predict modifications at the end of therapy and intensity of acute xerostomia Strahlentherapie Und Onkologie 50 695-394

[11] Buter J(2018)Texture analysis as a predictor of radiation-induced xerostomia in head and neck patients undergoing Imrt Radiol Med (Torino) 9 1288-1329

[12] Aaronson NK(2019)Early prediction of acute xerostomia during radiation therapy for nasopharyngeal cancer based on delta radiomics from Ct images Quant imaging Med Surg 102 1319-2263

[13] Slotman BJ(2018)Early changes in serial Cbct-measured parotid gland biomarkers predict chronic xerostomia after head and neck radiotherapy Int J Radiat Oncol Biol Phys 94 20210340-S96

[14] Leemans CR(2021)Diagnostic performance of qualitative and radiomics approach to parotid gland tumors: which is the added benefit of texture analysis? Br J Radiol 28 2255-1318

[15] Lin A(2018)A predictive model for distinguishing radiation necrosis from tumour progression after gamma knife radiosurgery based on radiomic features from Mr images Eur Radiol 127 S95-1007

[16] Kim HM(2018)Oc-0180: parotid gland fat related magnetic resonance image biomarkers improve prediction of late xerostomia Radiother Oncol 98 e15446-766

[17] Terrell JE(2019)radiomics features analysis of pet images in oropharyngeal and hypopharyngeal cancer Medicine 102 1308-704

[18] Dawson LA(2020)Predicting late radiation-induced xerostomia with parotid gland pet biomarkers and dose metrics Radiother Oncol 190 1001-63

[19] Ship JA(2018)Early prediction of acute xerostomia during radiation therapy for head and neck cancer based on texture analysis of daily Ct Int J Radiat Oncol Biol Phys 19 758-8

[20] Eisbruch A(2014)Early changes of parotid density and volume predict modifications at the end of therapy and intensity of acute xerostomia Strahlentherapie Und Onkologie 50 695-394