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

F.C.R. Staal; D.J. van der Reijd; M. Taghavi; D.M.J. Lambregts; R.G.H. Beets-Tan; M. Maas

doi:10.1016/j.clcc.2020.11.001

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

F.C.R. Staal, D.J. van der Reijd, M. Taghavi, D.M.J. Lambregts, R.G.H. Beets-Tan, M. Maas^*

^*Corresponding author for this work

Research output: Contribution to journal › Review article › Academic › peer-review

20 Citations (Web of Science)

Original language	English
Pages (from-to)	52-71
Number of pages	20
Journal	Clinical Colorectal Cancer
Volume	20
Issue number	1
DOIs	https://doi.org/10.1016/j.clcc.2020.11.001
Publication status	Published - 1 Mar 2021

Keywords

Artificial intelligence
Metastasis
Neoadjuvant chemotherapy
Quantitative imaging analysis
Response
CT TEXTURE ANALYSIS
CONTRAST-ENHANCED CT
INTRA-TUMOR HETEROGENEITY
RECTAL-CANCER
NEOADJUVANT CHEMORADIOTHERAPY
LIVER METASTASES
PREOPERATIVE CHEMORADIOTHERAPY
PATHOLOGICAL RESPONSE
PERSONALIZED APPROACH
THERAPEUTIC RESPONSE

Access to Document

10.1016/j.clcc.2020.11.001

Cite this

@article{b2557cba8a9044de979be242a53b4247,

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

keywords = "Artificial intelligence, Metastasis, Neoadjuvant chemotherapy, Quantitative imaging analysis, Response, CT TEXTURE ANALYSIS, CONTRAST-ENHANCED CT, INTRA-TUMOR HETEROGENEITY, RECTAL-CANCER, NEOADJUVANT CHEMORADIOTHERAPY, LIVER METASTASES, PREOPERATIVE CHEMORADIOTHERAPY, PATHOLOGICAL RESPONSE, PERSONALIZED APPROACH, THERAPEUTIC RESPONSE",

author = "F.C.R. Staal and {van der Reijd}, D.J. and M. Taghavi and D.M.J. Lambregts and R.G.H. Beets-Tan and M. Maas",

year = "2021",

month = mar,

day = "1",

doi = "10.1016/j.clcc.2020.11.001",

language = "English",

volume = "20",

pages = "52--71",

journal = "Clinical Colorectal Cancer",

issn = "1533-0028",

publisher = "CIG Media Group, L.P.",

number = "1",

}

Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review. / Staal, F.C.R.; van der Reijd, D.J.; Taghavi, M.; Lambregts, D.M.J.; Beets-Tan, R.G.H.; Maas, M.

In: Clinical Colorectal Cancer, Vol. 20, No. 1, 01.03.2021, p. 52-71.

Research output: Contribution to journal › Review article › Academic › peer-review

TY - JOUR

T1 - Radiomics for the Prediction of Treatment Outcome and Survival in Patients With Colorectal Cancer: A Systematic Review

AU - Staal, F.C.R.

AU - van der Reijd, D.J.

AU - Taghavi, M.

AU - Lambregts, D.M.J.

AU - Beets-Tan, R.G.H.

AU - Maas, M.

PY - 2021/3/1

Y1 - 2021/3/1

KW - Artificial intelligence

KW - Metastasis

KW - Neoadjuvant chemotherapy

KW - Quantitative imaging analysis

KW - Response

KW - CT TEXTURE ANALYSIS

KW - CONTRAST-ENHANCED CT

KW - INTRA-TUMOR HETEROGENEITY

KW - RECTAL-CANCER

KW - NEOADJUVANT CHEMORADIOTHERAPY

KW - LIVER METASTASES

KW - PREOPERATIVE CHEMORADIOTHERAPY

KW - PATHOLOGICAL RESPONSE

KW - PERSONALIZED APPROACH

KW - THERAPEUTIC RESPONSE

U2 - 10.1016/j.clcc.2020.11.001

DO - 10.1016/j.clcc.2020.11.001

M3 - Review article

C2 - 33349519

VL - 20

SP - 52

EP - 71

JO - Clinical Colorectal Cancer

JF - Clinical Colorectal Cancer

SN - 1533-0028

IS - 1

ER -