A retrospective, data mining project that re-uses routine patient care data for decision support systems.
By installing tools that extract clinical data from electronic health records and image data from the Picture Archiving and Communication System, decision support systems are built and validated that can predict survival and treatment toxicities of lung cancer patients treated with radiotherapy.
Study Type
OBSERVATIONAL
Enrollment
10,000
MAASTRO clinic
Maastricht, Limburg, Netherlands
Survival
Retrospective data will be collected from each included patient from start of radiotherapy until end of study or death (an expected average of 10 years).
Time frame: From radiotherapy until death
Local control
Data will be collected from inclusion in the study until end of study of death (an expected average time frame of 10 years) concerning the local control of this tumour.
Time frame: From start of treatment until death,
Distant metastases
Data concerning the possible occurence of distant metastases will be collected from each patient from inclusion until end of study or date of death (an expected average time frame of 10 years).
Time frame: From treatment until end of study
Dyspnea
From each included patient, dyspnea scores will be collected from start of treatment until end of study or date of death (an expected average time frame of 10 years).
Time frame: From inclusion until end of study
Dysphagia
Dysphagia scores will be collected from each participating patient from treatment until end of study or date of death (an average time frame of 10 years)
Time frame: From treatment until end of study
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