Advanced image analytics predicting clinical outcomes in patients with colorectal liver metastases: A systematic review of the literature

Wesdorp, Nina J.; Goor, V.J. van; Kemna, R.; Jansma, Elise P; Waesberghe, J.H.T.M. van; Swijnenburg, Rutger-Jan; Punt, Cornelis J.A.; Huiskens, Joost; Kazemier, Geert

doi:10.1016/j.suronc.2021.101578

Cited by 17 publications

(7 citation statements)

References 48 publications

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“…There are, however, some studies that did not incorporate validation into their models, such as [ 12 , 16 ]. In addition, studies produced contradictory results that were difficult to compare [ 41 ]. To achieve better outcomes in radiomics and radiogenomics, future research and development will need to address these issues.…”

Section: Literature Review and Discussionmentioning

confidence: 99%

“…Additionally, radiomics measures spatial and temporal intramural heterogeneity non-invasively [ 40 ]. Thus, it is used to extract tumor features inaccessible to the naked eye [ 41 ]. Radiomics has provided significant results by identifying responders and non-responders across various treatment options, including surgery, chemotherapy, immunotherapy, and targeted therapy [ 38 ].…”

Section: Introductionmentioning

confidence: 99%

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A Review of Radiomics in Predicting Therapeutic Response in Colorectal Liver Metastases: From Traditional to Artificial Intelligence Techniques

et al. 2022

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An early evaluation of colorectal cancer liver metastasis (CRCLM) is crucial in determining treatment options that ultimately affect patient survival rates and outcomes. Radiomics (quantitative imaging features) have recently gained popularity in diagnostic and therapeutic strategies. Despite this, radiomics faces many challenges and limitations. This study sheds light on these limitations by reviewing the studies that used radiomics to predict therapeutic response in CRCLM. Despite radiomics’ potential to enhance clinical decision-making, it lacks standardization. According to the results of this study, the instability of radiomics quantification is caused by changes in CT scan parameters used to obtain CT scans, lesion segmentation methods used for contouring liver metastases, feature extraction methods, and dataset size used for experimentation and validation. Accordingly, the study recommends combining radiomics with deep learning to improve prediction accuracy.

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Section: Literature Review and Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Review of Radiomics in Predicting Therapeutic Response in Colorectal Liver Metastases: From Traditional to Artificial Intelligence Techniques

et al. 2022

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“…An accurate prediction of cancer survival is very important for counseling, treatment planning, follow-up and postoperative risk assessment in patients with OSCC [ 27 ]. Although the use of prognosis models is still relatively new for OSCC, these models are already widely used for other human diseases [ 28 , 29 , 30 , 31 ]. It is now well known that cancer-related outcomes are influenced by several factors that are not included in the TNM system.…”

Section: Discussionmentioning

confidence: 99%

Development and Validation of Prognostic Models for Oral Squamous Cell Carcinoma: A Systematic Review and Appraisal of the Literature

Russo

Mariani

Caponio

et al. 2021

Cancers

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(1) Background: An accurate prediction of cancer survival is very important for counseling, treatment planning, follow-up, and postoperative risk assessment in patients with Oral Squamous Cell Carcinoma (OSCC). There has been an increased interest in the development of clinical prognostic models and nomograms which are their graphic representation. The study aimed to revise the prognostic performance of clinical-pathological prognostic models with internal validation for OSCC. (2) Methods: This systematic review was performed according to the Cochrane Handbook for Diagnostic Test Accuracy Reviews chapter on searching, the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) guidelines, and the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies (CHARMS). (3) Results: Six studies evaluating overall survival in patients with OSCC were identified. All studies performed internal validation, while only four models were externally validated. (4) Conclusions: Based on the results of this systematic review, it is possible to state that it is necessary to carry out internal validation and shrinkage to correct overfitting and provide an adequate performance for optimism. Moreover, calibration, discrimination and nonlinearity of continuous predictors should always be examined. To reduce the risk of bias the study design used should be prospective and imputation techniques should always be applied to handle missing data. In addition, the complete equation of the prognostic model must be reported to allow updating, external validation in a new context and the subsequent evaluation of the impact on health outcomes and on the cost-effectiveness of care.

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“…Up to 25% of patients simultaneously experienced primary tumour and colorectal liver metastases (CRLM) diagnosis [ 73 ], while 20% will progress to stage IV. Although the availability of chemotherapy regimen progress in many primary tumours [ 15 ], surgical resection is considered the gold standard treatment for CRLM, with a five-year survival rate from 30% to 60% [ 9 , 40 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 ]. However, about 80% of patients are affected by unresectable CRLM, due to bilobar multiple liver metastases and/or extrahepatic disease.…”

Section: Survivalmentioning

confidence: 99%

Colorectal Cancer: Current Updates and Future Perspectives

Marcellinaro,

Spoletini,

Grieco

et al. 2023

JCM

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Colorectal cancer is a frequent neoplasm in western countries, mainly due to dietary and behavioral factors. Its incidence is growing in developing countries for the westernization of foods and lifestyles. An increased incidence rate is observed in patients under 45 years of age. In recent years, the mortality for CRC is decreased, but this trend is slowing. The mortality rate is reducing in those countries where prevention and treatments have been implemented. The survival is increased to over 65%. This trend reflects earlier detection of CRC through routine clinical examinations and screening, more accurate staging through advances in imaging, improvements in surgical techniques, and advances in chemotherapy and radiation. The most important predictor of survival is the stage at diagnosis. The screening programs are able to reduce incidence and mortality rates of CRC. The aim of this paper is to provide a comprehensive overview of incidence, mortality, and survival rate for CRC.

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Advanced image analytics predicting clinical outcomes in patients with colorectal liver metastases: A systematic review of the literature

Cited by 17 publications

References 48 publications

A Review of Radiomics in Predicting Therapeutic Response in Colorectal Liver Metastases: From Traditional to Artificial Intelligence Techniques

A Review of Radiomics in Predicting Therapeutic Response in Colorectal Liver Metastases: From Traditional to Artificial Intelligence Techniques

Development and Validation of Prognostic Models for Oral Squamous Cell Carcinoma: A Systematic Review and Appraisal of the Literature

Colorectal Cancer: Current Updates and Future Perspectives

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