Normal Lung Tissue CT Density Changes after Volumetric-Arc Radiotherapy (VMAT) for Lung Cancer.
Marek KonkolMaciej BrylMarek FechnerKrzysztof MatuszewskiPaweł ŚniatałaPiotr MileckiPublished in: Journal of personalized medicine (2022)
Radiation-induced lung injury remains a significant toxicity in thoracic radiotherapy. Because a precise diagnosis is difficult and commonly used assessment scales are unclear and subjective, there is a need to establish quantitative and sensitive grading methods. The lung tissue density change expressed in Hounsfield units (HUs) derived from CT scans seems a useful numeric surrogate. The study aimed to confirm a dose-response effect on HU value changes (ΔHU), their evolution in time, and the impact of selected clinical and demographic factors. We used dedicated, self-developed software to register and analyze 120 pairs of initial and follow-up CT scans of 47 lung cancer patients treated with dynamic arc radiotherapy. The differences in HU values between CT scans were calculated within discretized dose-bins limited by isodose lines. We have proved the dose-effect relationship, which is well described with a sigmoid model. We found the time evolution of HU changes to suit a typical clinical presentation of radiation-induced toxicity. Some clinical factors were found to correlate with ΔHU degree: planning target volume (PTV), V35 in the lung, patient's age and a history of arterial hypertension, and initial lung ventilation intensity. Lung density change assessment turned out to be a sensitive and valuable method of grading post-RT lung toxicity.
Keyphrases
- radiation induced
- computed tomography
- dual energy
- contrast enhanced
- radiation therapy
- image quality
- early stage
- oxidative stress
- magnetic resonance imaging
- positron emission tomography
- locally advanced
- case report
- squamous cell carcinoma
- arterial hypertension
- intensive care unit
- depressive symptoms
- acute respiratory distress syndrome
- mass spectrometry
- spinal cord injury
- rectal cancer
- data analysis
- pet ct
- clinical evaluation
- oxide nanoparticles