Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy

Ravanelli, Marco; Agazzi, Giorgio Maria; Tononcelli, Elena; Roca, Elisa; Cabassa, Paolo; Baiocchi, Gian Luca; Berruti, Alfredo; Maroldi, Roberto; Farina, Davide

doi:10.1007/s11547-019-01046-4

Cited by 42 publications

(47 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Most papers ( n = 28) described retrospective analyses, while four reported planned secondary analyses of prospectively acquired data [ 32 , 33 , 34 , 35 ]. Nineteen authors analyzed computed tomography (CT) [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 ], eight magnetic resonance imaging (MRI) [ 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 ], three positron-emission tomography (PET)/CT [ 59 , 60 , 61 ], and two multiple imaging modalities (CT and MRI; PET and MRI, respectively) [ 62 , 63 ]. Various software applications were used for texture analysis, with these being custom-made in a large proportion of cases ( n = 10).…”

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

“…Ten studies analyzed radiomic features’ ability to predict the outcome of patients with colorectal LM [ 32 , 33 , 38 , 40 , 43 , 46 , 47 , 59 , 61 , 62 ]. Four included training and validation datasets [ 33 , 37 , 40 , 46 ]. The endpoint was overall survival (OS) in nine studies [ 32 , 33 , 38 , 40 , 43 , 46 , 47 , 59 , 61 ], progression-free survival (PFS) in four [ 46 , 59 , 61 , 62 ], hepatic PFS in one [ 47 ], and event-free survival in one [ 59 ].…”

Section: Resultsmentioning

confidence: 99%

“…Four included training and validation datasets [ 33 , 37 , 40 , 46 ]. The endpoint was overall survival (OS) in nine studies [ 32 , 33 , 38 , 40 , 43 , 46 , 47 , 59 , 61 ], progression-free survival (PFS) in four [ 46 , 59 , 61 , 62 ], hepatic PFS in one [ 47 ], and event-free survival in one [ 59 ]. In six papers, patients underwent chemotherapy [ 32 , 33 , 40 , 43 , 46 , 61 ], in two, liver surgery [ 47 , 62 ], and in two, either chemotherapy or surgery [ 38 , 59 ].…”

Section: Resultsmentioning

confidence: 99%

“…The endpoint was overall survival (OS) in nine studies [ 32 , 33 , 38 , 40 , 43 , 46 , 47 , 59 , 61 ], progression-free survival (PFS) in four [ 46 , 59 , 61 , 62 ], hepatic PFS in one [ 47 ], and event-free survival in one [ 59 ]. In six papers, patients underwent chemotherapy [ 32 , 33 , 40 , 43 , 46 , 61 ], in two, liver surgery [ 47 , 62 ], and in two, either chemotherapy or surgery [ 38 , 59 ]. Six studies analyzed imaging modalities before treatment [ 38 , 43 , 47 , 59 , 61 , 62 ], while four performed comparative analyses of imaging modalities before and after chemotherapy [ 32 , 33 , 40 , 46 ].…”

Section: Resultsmentioning

confidence: 99%

See 4 more Smart Citations

Radiomics of Liver Metastases: A Systematic Review

Fiz

Viganò

Gennaro

et al. 2020

Cancers

View full text Add to dashboard Cite

Multidisciplinary management of patients with liver metastases (LM) requires a precision medicine approach, based on adequate profiling of tumor biology and robust biomarkers. Radiomics, defined as the high-throughput identification, analysis, and translational applications of radiological textural features, could fulfill this need. The present review aims to elucidate the contribution of radiomic analyses to the management of patients with LM. We performed a systematic review of the literature through the most relevant databases and web sources. English language original articles published before June 2020 and concerning radiomics of LM extracted from CT, MRI, or PET-CT were considered. Thirty-two papers were identified. Baseline higher entropy and lower homogeneity of LM were associated with better survival and higher chemotherapy response rates. A decrease in entropy and an increase in homogeneity after chemotherapy correlated with radiological tumor response. Entropy and homogeneity were also highly predictive of tumor regression grade. In comparison with RECIST criteria, radiomic features provided an earlier prediction of response to chemotherapy. Lastly, texture analyses could differentiate LM from other liver tumors. The commonest limitations of studies were small sample size, retrospective design, lack of validation datasets, and unavailability of univocal cut-off values of radiomic features. In conclusion, radiomics can potentially contribute to the precision medicine approach to patients with LM, but interdisciplinarity, standardization, and adequate software tools are needed to translate the anticipated potentialities into clinical practice.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Radiomics of Liver Metastases: A Systematic Review

Fiz

Viganò

Gennaro

et al. 2020

Cancers

View full text Add to dashboard Cite

show abstract

Radiomics in colorectal cancer

Wu,

et al. 2023

iRADIOLOGY

View full text Add to dashboard Cite

Colorectal cancer (CRC) is a global health challenge with high morbidity and mortality. Radiomics, an emerging field, utilizes quantitative imaging features extracted from medical images for CRC diagnosis, staging, treatment response assessment, and prognostication. This review highlights the potential of radiomics for personalized CRC management. Radiomics enables noninvasive tumor characterization, aiding in early detection and accurate diagnosis, and it can be used to predict tumor stage, lymph node involvement, and prognosis. Furthermore, radiomics guides personalized therapies by assessing the treatment response and identifying patients who could benefit. Challenges include standardizing imaging protocols and analysis techniques. Robust validation frameworks and user‐friendly software are needed for the integration of radiomics into clinical practice. Despite challenges, radiomics offers valuable insights into tumor biology, treatment response, and prognosis in CRC. Overcoming technical and clinical hurdles will unlock its full potential in CRC management.

show abstract

A clinical‐radiomic model for improved prognostication of surgical candidates with colorectal liver metastases

Shur

Orton

Connor

et al. 2019

Journal of Surgical Oncology

View full text Add to dashboard Cite

Background and ObjectivesColorectal cancer with liver metastases is potentially curable with surgical resection however clinical prognostic factors can insufficiently stratify patients. This study aims to assess whether radiomic features are prognostic and can inform clinical decision making.MethodsThis single‐site retrospective study included 102 patients who underwent colorectal liver metastases resection with preoperative computed tomography (CT), magnetic resonance imaging (MRI) with gadoxetic acid (EOB) and clinical covariates. A lasso‐regularized multivariate Cox proportional hazards model was applied to 114 features (10 clinical, 104 radiomic) to determine association with disease‐free survival (DFS). A prognostic index was derived using the significant Cox regression coefficients and their corresponding input features and a threshold was determined to classify patients into high‐ and low‐risk groups, and DFS compared using log‐rank tests.ResultsFour covariates were significantly associated with DFS; bilobar disease (hazard ratio [HR]= 1.56; P = .0043), complete pathological response (HR= 0.67; P = .025), minimum pixel value (HR= 1.66; P = .00016), and small area emphasis (HR= 0.62; P = .0013) from the EOB‐MRI data. Radiomic CT features were not prognostic. The prognostic index strongly stratified high‐ and low‐risk prognostic groups (HR = 0.31; P = .00068).ConclusionRadiomic MRI features provided meaningful prognostic information above clinical covariates alone. This merits further validation for potential clinical implementation to inform management.

show abstract

Texture features of colorectal liver metastases on pretreatment contrast-enhanced CT may predict response and prognosis in patients treated with bevacizumab-containing chemotherapy: a pilot study including comparison with standard chemotherapy

Cited by 42 publications

References 39 publications

Radiomics of Liver Metastases: A Systematic Review

Radiomics of Liver Metastases: A Systematic Review

Radiomics in colorectal cancer

A clinical‐radiomic model for improved prognostication of surgical candidates with colorectal liver metastases

Contact Info

Product

Resources

About