Radiomics vs radiologist in prostate cancer. Results from a systematic review

Chiacchio, Giuseppe; Castellani, Daniele; Nedbal, Carlotta; Stefano, Virgilio De; Brocca, Carlo; Tramanzoli, Pietro; Galosi, Andrea Benedetto; Silva, Rodrigo Donalisio da; Teoh, Jeremy Yuen‐Chun; Tiong, Ho Yee; Naik, Nithesh; Somani, Bhaskar K.; Merseburger, Axel S.; Gauhar, Vineet

doi:10.1007/s00345-023-04305-2

Cited by 11 publications

(9 citation statements)

References 38 publications

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“…A recent survey has indicated that MRI-based radiomics research on PCa has the potential to enhance the PIRADS report in the future. Specifically, this research may improve the diagnosis and risk stratification of PCa [20].…”

Section: Impact Of Multi-parametric Mrimentioning

confidence: 99%

Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects

Chaddad

Tan

Liang

et al. 2023

Cancers

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The use of multiparametric magnetic resonance imaging (mpMRI) has become a common technique used in guiding biopsy and developing treatment plans for prostate lesions. While this technique is effective, non-invasive methods such as radiomics have gained popularity for extracting imaging features to develop predictive models for clinical tasks. The aim is to minimize invasive processes for improved management of prostate cancer (PCa). This study reviews recent research progress in MRI-based radiomics for PCa, including the radiomics pipeline and potential factors affecting personalized diagnosis. The integration of artificial intelligence (AI) with medical imaging is also discussed, in line with the development trend of radiogenomics and multi-omics. The survey highlights the need for more data from multiple institutions to avoid bias and generalize the predictive model. The AI-based radiomics model is considered a promising clinical tool with good prospects for application.

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Section: Impact Of Multi-parametric Mrimentioning

confidence: 99%

Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects

Chaddad

Tan

Liang

et al. 2023

Cancers

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“…Recent studies have explored the correlation between imaging models and genetic characteristics to better understand the inherent biological nature of PCa [36]. However, despite the superiority of MRI-based radiomics over radiologist-reported outcomes, it is essential to consider variability before translating it into clinical practice [37].…”

Section: Mp-mri Protocol For Active Surveillancementioning

confidence: 99%

Multiparametric magnetic resonance imaging in the active surveillance of prostate cancer: protocol, risk stratification, and surveillance

2024

JOMH

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Active surveillance serves as a vital management strategy for patients diagnosed with low-risk, organ-confined prostate cancer and is aimed at reducing overtreatment, cost minimization and enhancing patients' quality of life. However, the comprehensive implementation of active surveillance faces various challenges necessitating improvement, such as refining screening criteria, optimizing surveillance procedures, and establishing clear guidelines for active intervention. Multiparametric magnetic resonance imaging (mp-MRI) has assumed an increasingly pivotal role in the context of active surveillance. It provides essential supplementary insights into the identification and characteristics of prostate cancer. mp-MRI improves the precision of risk stratification, thus enhancing patient selection and compliance. Furthermore, it facilitates continuous disease monitoring, thereby reducing the probability of missed treatment opportunities during follow-up. This review, characterized by its meticulous analysis, aims to comprehensively examine the utilization and advancements of mp-MRI in the active surveillance of prostate cancer.

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“…Although radiomics has been applied extensively in oncology, the application of radiomics in the field of kidney transplantation holds great potential to improve outcomes in both the donors and recipients, 6 given the complexity and diversity required in the management of this group of patients. An illustration of the workflow of radiomics in kidney transplantation is presented in Figure 1 7 : (1) image acquisition and preprocessing, (2) validation and training data set creation, and (3) model building.…”

Section: Introductionmentioning

confidence: 99%

“…Radiomic applications are versatile because they can use singular or combine multiple imaging modalities like computed tomography (CT), MRI, ultrasonography, and even nuclear imaging modalities, which provide a unique opportunity to have a common base for different imaging modalities to better understand the area of interest in a disease process. 5 Although radiomics has been applied extensively in oncology, the application of radiomics in the field of kidney transplantation holds great potential to improve outcomes in both the donors and recipients, 6 given the complexity and diversity required in the management of this group of patients. An illustration of the workflow of radiomics in kidney transplantation is presented in Figure 1 7 : (1) image acquisition and preprocessing, (2) validation and training data set creation, and (3) model building.…”

Section: Introductionmentioning

confidence: 99%

Radiomics in Kidney Transplantation: A Scoping Review of Current Applications, Limitations, and Future Directions

et al. 2023

Self Cite

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Radiomics is increasingly applied to the diagnosis, management, and outcome prediction of various urological conditions. The purpose of this scoping review is to evaluate the current evidence of the application of radiomics in kidney transplantation, especially its utility in diagnostics and therapeutics. An electronic literature search on radiomics in the setting of transplantation was conducted on PubMed, EMBASE, and Scopus from inception to September 23, 2022. A total of 16 studies were included. The most widely studied clinical utility of radiomics in kidney transplantation is its use as an adjunct to diagnose rejection, potentially reducing the need for unnecessary biopsies or guiding decisions for earlier biopsies to optimize graft survival. Technology such as optical coherence tomography is a noninvasive procedure to build high-resolution optical cross-section images of the kidney cortex in situ and in real time, which can provide histopathological information of donor kidney candidates for transplantation, and to predict posttransplant function. This review shows that, although radiomics in kidney transplants is still in its infancy, it has the potential for large-scale implementation. Its greatest potential lies in the correlation with conventional established diagnostic evaluation for living donors and potential in predicting and detecting rejection postoperatively.

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Radiomics vs radiologist in prostate cancer. Results from a systematic review

Cited by 11 publications

References 38 publications

Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects

Advancements in MRI-Based Radiomics and Artificial Intelligence for Prostate Cancer: A Comprehensive Review and Future Prospects

Multiparametric magnetic resonance imaging in the active surveillance of prostate cancer: protocol, risk stratification, and surveillance

Radiomics in Kidney Transplantation: A Scoping Review of Current Applications, Limitations, and Future Directions

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