CT-based radiomic features to predict pathological response in rectal cancer: A retrospective cohort study.
Zhigang YuanMarissa FrazerGeoffrey G ZhangKujtim LatifiEduardo G MorosVladimir FeygelmanSeth FelderJulian SanchezSophie DessureaultIman ImaniradRichard D KimLouis B HarrisonSarah E HoffeJessica M FrakesPublished in: Journal of medical imaging and radiation oncology (2020)
The pre-treatment CT-based radiomic signatures were developed and validated in two independent cohorts. This imaging biomarker provided a promising way to predict pCR and select patients for non-operative management.
Keyphrases
- rectal cancer
- end stage renal disease
- computed tomography
- image quality
- newly diagnosed
- contrast enhanced
- dual energy
- chronic kidney disease
- high resolution
- prognostic factors
- magnetic resonance imaging
- positron emission tomography
- magnetic resonance
- radiation therapy
- gene expression
- squamous cell carcinoma
- mass spectrometry
- fluorescence imaging