Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review

Autor: Femke C.R. Staal, Denise J. van der Reijd, Monique Maas, Marjaneh Taghavi, Regina G. H. Beets-Tan, Doenja M. J. Lambregts
Rok vydání: 2020
Předmět:
Oncology
Artificial intelligence
Colorectal cancer
Metastasis
0302 clinical medicine
Radiomics
Positron Emission Tomography Computed Tomography
THERAPEUTIC RESPONSE
medicine.diagnostic_test
PERSONALIZED APPROACH
Gastroenterology
Response
Prognosis
Magnetic Resonance Imaging
Treatment Outcome
Positron emission tomography
030220 oncology & carcinogenesis
Quality Score
Biomarker (medicine)
030211 gastroenterology & hepatology
CT TEXTURE ANALYSIS
medicine.medical_specialty
MEDLINE
Neoadjuvant chemotherapy
Risk Assessment
Disease-Free Survival
LIVER METASTASES
03 medical and health sciences
Fluorodeoxyglucose F18
Internal medicine
Image Interpretation
Computer-Assisted
medicine
Humans
In patient
INTRA-TUMOR HETEROGENEITY
RECTAL-CANCER
business.industry
Rectal Neoplasms
Rectum
Magnetic resonance imaging
PATHOLOGICAL RESPONSE
NEOADJUVANT CHEMORADIOTHERAPY
medicine.disease
Quantitative imaging analysis
CONTRAST-ENHANCED CT
Neoplasm Recurrence
Local
business
PREOPERATIVE CHEMORADIOTHERAPY
Zdroj: Staal, F C R, van der Reijd, D J, Taghavi, M, Lambregts, D M J, Beets-Tan, R G H & Maas, M 2021, ' Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer : A Systematic Review ', Clinical Colorectal Cancer, vol. 20, no. 1, pp. 52-71 . https://doi.org/10.1016/j.clcc.2020.11.001
ISSN: 1938-0674
DOI: 10.1016/j.clcc.2020.11.001
Popis: Prediction of outcome in patients with colorectal cancer (CRC) is challenging as a result of lack of a robust biomarker and heterogeneity between and within tumors. The aim of this review was to assess the current possibilities and limitations of radiomics (on computed tomography [CT], magnetic resonance imaging [MRI], and positron emission tomography [PET]) for the prediction of treatment outcome and long-term outcome in CRC. Medline/PubMed was searched up to August 2020 for studies that used radiomics for the prediction of response to treatment and survival in patients with CRC (based on pretreatment imaging). The Quality Assessment of Diagnostic Accuracy Studies (QUADAS) tool and Radiomics Quality Score (RQS) were used for quality assessment. A total of 76 studies met the inclusion criteria and were included for further analysis. Radiomics analyses were performed on MRI in 41 studies, on CT in 30 studies, and on F-18-FDG-PET/CT in 10 studies. Heterogeneous results were reported regarding radiomics methods and included features. High-quality studies (n = 13), consisting mainly of MRI-based radiomics to predict response in rectal cancer, were able to predict response with good performance. Radiomics literature in CRC is highly heterogeneous, but it nonetheless holds promise for the prediction of outcome. The most evidence is available for MRI-based radiomics in rectal cancer. Future radiomics research in CRC should focus on independent validation of existing models rather than on developing new models. (C) 2020 Elsevier Inc. All rights reserved.
Databáze: OpenAIRE
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