Radiomics in prostate cancer: an up-to-date review

被引:90
作者
Ferro, Matteo [1 ]
de Cobelli, Ottavio [1 ,2 ]
Musi, Gennaro [1 ,2 ]
del Giudice, Francesco [3 ]
Carrieri, Giuseppe [4 ]
Busetto, Gian Maria [4 ]
Falagario, Ugo Giovanni [4 ]
Sciarra, Alessandro [3 ]
Maggi, Martina [3 ]
Crocetto, Felice [5 ]
Barone, Biagio [5 ]
Caputo, Vincenzo Francesco [5 ]
Marchioni, Michele [6 ,7 ,8 ]
Lucarelli, Giuseppe [9 ]
Imbimbo, Ciro [5 ]
Mistretta, Francesco Alessandro [1 ,10 ]
Luzzago, Stefano [1 ,10 ]
Vartolomei, Mihai Dorin [11 ,12 ]
Cormio, Luigi [13 ,14 ]
Autorino, Riccardo [15 ]
Tataru, Octavian Sabin [16 ]
机构
[1] European Inst Oncol, IRCCS, Dept Urol, Via Ripamonti 435, Milan, Italy
[2] Univ Milan, Dept Oncol & Hematol Oncol, Milan, Italy
[3] Sapienza Univ Rome, Policlin Umberto I, Dept Urol, Rome, Italy
[4] Univ Foggia, Dept Urol & Organ Transplantat, Foggia, Italy
[5] Univ Naples Federico II, Dept Neurosci Reprod Sci & Odontostomatol, Naples, Italy
[6] Univ G dAnnunzio, Dept Med Oral & Biotechnol Sci, Chieti, Italy
[7] SS Annunziata Hosp, Urol Unit, Chieti, Italy
[8] ASL Abruzzo 2, Dept Urol, Chieti, Italy
[9] Univ Bari, Urol Androl & Kidney Transplantat Unit, Dept Emergency & Organ Transplantat, Bari, Italy
[10] Univ Milan, Milan, Italy
[11] George Emil Palade Univ Med Pharm Sci & Technol T, Dept Cell & Mol Biol, Targu Mures, Romania
[12] Med Univ Vienna, Dept Urol, Vienna, Austria
[13] Univ Foggia, Dept Med & Surg Sci, Urol & Renal Transplantat Unit, Foggia, Italy
[14] Bonomo Teaching Hosp, Urol Unit, Foggia, Italy
[15] VCU Hlth, Div Urol, Richmond, VA USA
[16] George Emil Palade Univ Med Pharm Sci & Technol T, IOSUD, Inst Organizing Univ Doctoral Studies, Targu Mures, Romania
关键词
artificial intelligence; MRI; PET-CT; prostate cancer; radiomics; COMPUTER-AIDED DETECTION; MAGNETIC-RESONANCE IMAGES; ARTIFICIAL-INTELLIGENCE; CLINICALLY SIGNIFICANT; INTEROBSERVER VARIABILITY; BIOCHEMICAL RECURRENCE; ACTIVE SURVEILLANCE; GA-68-PSMA PET/CT; GLEASON SCORES; RANDOM FOREST;
D O I
10.1177/17562872221109020
中图分类号
R5 [内科学]; R69 [泌尿科学(泌尿生殖系疾病)];
学科分类号
1002 ; 100201 ;
摘要
Prostate cancer (PCa) is the most common worldwide diagnosed malignancy in male population. The diagnosis, the identification of aggressive disease, and the post-treatment follow-up needs a more comprehensive and holistic approach. Radiomics is the extraction and interpretation of images phenotypes in a quantitative manner. Radiomics may give an advantage through advancements in imaging modalities and through the potential power of artificial intelligence techniques by translating those features into clinical outcome prediction. This article gives an overview on the current evidence of methodology and reviews the available literature on radiomics in PCa patients, highlighting its potential for personalized treatment and future applications.
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页数:37
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