Radiomics in radiology: What the radiologist needs to know about technical aspects and clinical impact

被引：2

作者：

Ferrari, Riccardo ^{[1
]}

Trinci, Margherita ^{[2
]}

Casinelli, Alice ^{[3
]}

Treballi, Francesca ^{[4
]}

Leone, Edoardo ^{[1
]}

Caruso, Damiano ^{[5
]}

Polici, Michela ^{[5
]}

Faggioni, Lorenzo ^{[6
]}

Neri, Emanuele ^{[6
]}

Galluzzo, Michele ^{[1
]}

机构：

[1] San Camillo Forlanini Hosp, Emergency Radiol Dept, Rome, Italy

[2] Dipartimento Radiol, Orbetello, Grosseto, Italy

[3] Sandro Pertini Hosp, Diagnost Imaging Dept, Rome, Italy

[4] Careggi Univ Hosp, Dept Radiol, Florence, Italy

[5] Sapienza Univ Rome, St Andrea Univ Hosp, Dept Med Surg Sci & Translat Med, Radiol Unit, I-00189 Rome, Italy

[6] Univ Pisa, Dept Translat Res & New Technol Med & Surg, Pisa, Italy

来源：

RADIOLOGIA MEDICA | 2024年 / 129卷 / 12期

基金：

英国科研创新办公室;

关键词：

Radiology; Radiomics; Abdominal imaging; Artificial Intelligence; New technologies in radiology; Diagnostic radiology; LUNG-CANCER; ARTIFICIAL-INTELLIGENCE; FEATURES; PREDICT; REPRODUCIBILITY; ONCOLOGY; IMAGES; TOOL;

D O I：

10.1007/s11547-024-01904-w

中图分类号：

R8 [特种医学]; R445 [影像诊断学];

学科分类号：

1002 ; 100207 ; 1009 ;

摘要：

Radiomics represents the science of extracting and analyzing a multitude of quantitative features from medical imaging, revealing the quantitative potential of radiologic images. This scientific review aims to provide radiologists with a comprehensive understanding of radiomics, emphasizing its principles, applications, challenges, limits, and prospects. The limitations of standardization in current scientific production are analyzed, along with possible solutions proposed by some of the referenced papers. As the continuous evolution of medical imaging is ongoing, radiologists must be aware of new perspectives to play a central role in patient management.

引用

页码：1751 / 1765

页数：15

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