Radiomics systematic review in cervical cancer: gynecological oncologists' perspective

被引:11
作者
Bizzarri, Nicolo [1 ,4 ]
Russo, Luca [2 ]
Dolciami, Miriam [2 ]
Zormpas-Petridis, Konstantinos [2 ]
Boldrini, Luca [2 ]
Querleu, Denis [1 ]
Ferrandina, Gabriella [1 ,3 ]
Pedone Anchora, Luigi [1 ]
Gui, Benedetta [2 ]
Sala, Evis [2 ,3 ]
Scambia, Giovanni [1 ,3 ]
机构
[1] Fdn Policlin Univ Agostino Gemelli IRCCS, UOC Ginecol Oncolog, Dipartimento salute Donna & Bambino & Salute Pubbl, Rome, Italy
[2] Fdn Policlin Univ Agostino Gemelli IRCCS, Dept Bioimaging Radiat Oncol & Hematol, Rome, Italy
[3] Univ Cattolica Sacro Cuore, Rome, Italy
[4] Fdn Policlin Univ Agostino Gemelli IRCCS, UOC Ginecol Oncolog, Dipartimento salute Donna & Bambino & Salute Pubbl, I-00168 Rome, Italy
关键词
Cervical Cancer; Cervix Uteri; Lymphatic Metastasis; DISEASE-FREE SURVIVAL; IMAGING RADIOMICS; TEXTURE ANALYSIS; RECURRENCE; IMAGES; METASTASIS; PREDICTION; MRI; FEATURES; MODEL;
D O I
10.1136/ijgc-2023-004589
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
ObjectiveRadiomics is the process of extracting quantitative features from radiological images, and represents a relatively new field in gynecological cancers. Cervical cancer has been the most studied gynecological tumor for what concerns radiomics analysis. The aim of this study was to report on the clinical applications of radiomics combined and/or compared with clinical-pathological variables in patients with cervical cancer.MethodsA systematic review of the literature from inception to February 2023 was performed, including studies on cervical cancer analysing a predictive/prognostic radiomics model, which was combined and/or compared with a radiological or a clinical-pathological model.ResultsA total of 57 of 334 (17.1%) screened studies met inclusion criteria. The majority of studies used magnetic resonance imaging (MRI), but positron emission tomography (PET)/computed tomography (CT) scan, CT scan, and ultrasound scan also underwent radiomics analysis. In apparent early-stage disease, the majority of studies (16/27, 59.3%) analysed the role of radiomics signature in predicting lymph node metastasis; six (22.2%) investigated the prediction of radiomics to detect lymphovascular space involvement, one (3.7%) investigated depth of stromal infiltration, and one investigated (3.7%) parametrial infiltration. Survival prediction was evaluated both in early-stage and locally advanced settings. No study focused on the application of radiomics in metastatic or recurrent disease.ConclusionRadiomics signatures were predictive of pathological and oncological outcomes, particularly if combined with clinical variables. These may be integrated in a model using different clinical-pathological and translational characteristics, with the aim to tailor and personalize the treatment of each patient with cervical cancer.
引用
收藏
页码:1522 / 1541
页数:20
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