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논문 기본 정보
- 자료유형
- 학술저널
- 저자정보
- 저널정보
- 대한핵의학회 Nuclear medicine and molecular imaging : NMMI Nuclear medicine and molecular imaging : NMMI 제52권 제2호
- 발행연도
- 2018.1
- 수록면
- 91 - 98 (8page)
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초록· 키워드
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Precision medicine offers better treatment options and improved survival for cancer patients based on individual variability. As the success of precision medicine depends on robust biomarkers, the requirement for improved imaging biomarkers that reflect tumor biology has grown exponentially. Radiomics, the field of study in which high-throughput data are generated and large amounts of advanced quantitative features are extracted from medical images, has shown great potential as a source of quantitative biomarkers in the field of oncology. Radiomics provides quantitative information about the morphology, texture, and intratumoral heterogeneity of the tumor itself as well as features related to pulmonary function. Hence, radiomics data can be used to build descriptive and predictive clinical models that relate imaging characteristics to tumor biology phenotypes. In this review, we describe the workflow of CT radiomics, types of CT radiomics, and its clinical application in thoracic oncology.
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참고문헌 (68)
참고문헌 신청
The Cancer Genome Atlas Research Network / 2012 / Comprehensive genomic characterization of squamous cell lung cancers / Nature 489:519~525
The Cancer Genome Atlas Research Network / 2014 / Comprehensive molecular profiling of lung adenocarcinoma / Nature 511:543~550
Curtis C / 2012 / The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups / Nature 486:346~352
Mirnezami R / 2012 / Preparing for precision medicine / N Engl J Med 366:489~491
Chong Y / 2014 / Quantitative CT variables enabling response prediction in neoadjuvant therapy with EGFR-TKIs: are they different from those in neoadjuvant concurrent chemoradiotherapy? / PLoS One 9:e88598
The Cancer Genome Atlas Research Network / 2014 / Comprehensive molecular profiling of lung adenocarcinoma / Nature 511:543~550
Curtis C / 2012 / The genomic and transcriptomic architecture of 2,000 breast tumours reveals novel subgroups / Nature 486:346~352
Mirnezami R / 2012 / Preparing for precision medicine / N Engl J Med 366:489~491
Chong Y / 2014 / Quantitative CT variables enabling response prediction in neoadjuvant therapy with EGFR-TKIs: are they different from those in neoadjuvant concurrent chemoradiotherapy? / PLoS One 9:e88598
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