A Review of Modern Imaging Landscape for Prostate Cancer: A Comprehensive Clinical Guide

Gravestock, Paul; Somani, Bhaskar K.; Tokas, Theodoros; Prasad, Bhavan

doi:10.3390/jcm12031186

Cited by 4 publications

References 119 publications

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Peptide PET Imaging: A Review of Recent Developments and a Look at the Future of Radiometal-Labeled Peptides in Medicine

Shabsigh,

Solomon

2024

Chemical & Biomedical Imaging

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The development of peptide-based, radiometal-labeled PET imaging agents has seen an increase in attention due to the favorable properties the peptide backbone exhibits. These include high selectivity and affinity to proteins and cells directly linked to various types of cancers. In addition, rapid clearance from circulation and low toxicity allow for unique approaches to engineering a viable peptide-based imaging agent. Utilizing peptides as the backbone allows for various modifications to improve metabolic stability, target cell affinity, and image quality and imaging capabilities and reduce toxicity. Select radiolabeled peptides have already been FDA approved, with many more in late-stage trials. This review summarizes the current state of the radiometal-labeled PET peptide imaging field as well as explores methods used by researchers to modify peptides, concluding with a look at the future of peptide-based therapy and diagnostics.

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Peptide PET Imaging: A Review of Recent Developments and a Look at the Future of Radiometal-Labeled Peptides in Medicine

Shabsigh,

Solomon

2024

Chemical & Biomedical Imaging

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Prostate Cancer: A Comprehensive Overview

Almabrouk,

Alashkham

2024

Male-Mediated Developmental Toxicity

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Prostate cancer is a common malignancy that affects the prostate gland in males. The prostate gland’s abnormal cellular growth leads to prostate cancer, which is usually a slow-growing disease that may not cause any symptoms in its early stages. Even though the condition may initially appear to be limited to a particular area, it has the ability to progress and spread to other regions of the body, leading to the development of more severe diseases. There are several risk factors that can increase the likelihood of developing prostate cancer, such as advanced age, a family history of the disease, and the presence of certain genetic mutations. The primary method of diagnosis for prostate cancer involves a combination of blood tests, specifically measuring the levels of prostate-specific antigen (PSA), and conducting a biopsy of the prostate gland. The treatment options for prostate cancer are determined by the stage and aggressiveness of the disease, which may include active surveillance, surgery, radiation therapy, hormonal therapy, chemotherapy, and immunotherapy. The decision to choose a particular course of treatment is made with the intention of achieving the optimal outcomes while taking into consideration the potential benefits and side effects, all while ensuring that the patient’s quality of life is not negatively impacted. Regular monitoring and follow-up care are indispensable in detecting any recurrence or progression at an early stage. The progress in screening, diagnosis, and treatment has led to better outcomes for prostate cancer patients. Nevertheless, further research is necessary to improve the understanding and management of this disease.

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Prostate Cancer Gleason Grading: A Review on Deep Learning Approaches for Recognizing

Patel,

Sanghani,

Shah

2024

ITM Web Conf.

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This survey paper is motivated by the imperative need for advanced and precise diagnostic tools in the realm of prostate cancer, where Gleason grading plays a pivotal role in determining the severity and treatment strategy. The aim of this comprehensive review is to explore and assess the diverse spectrum of deep learning approaches applied to prostate cancer Gleason grading, with a specific focus on convolutional neural networks (CNNs), transfer learning, ensemble methods, and emerging techniques. The primary contribution lies in offering a consolidated understanding of the current state-of-the-art methodologies, their architectures, and training strategies, while also addressing challenges and advancements in the integration of deep learning into clinical workflows. Furthermore, the survey discusses recent developments such as the incorporation of multimodal data and explainable AI methods, shedding light on their potential to enhance the interpretability and adoption of deep learning models in the critical domain of prostate cancer diagnosis. Through this, the paper aims to provide a valuable resource for researchers, clinicians, and practitioners, guiding future endeavors toward more accurate and efficient Gleason grading using deep learning techniques.

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A Review of Modern Imaging Landscape for Prostate Cancer: A Comprehensive Clinical Guide

Cited by 4 publications

References 119 publications

Peptide PET Imaging: A Review of Recent Developments and a Look at the Future of Radiometal-Labeled Peptides in Medicine

Peptide PET Imaging: A Review of Recent Developments and a Look at the Future of Radiometal-Labeled Peptides in Medicine

Prostate Cancer: A Comprehensive Overview

Prostate Cancer Gleason Grading: A Review on Deep Learning Approaches for Recognizing

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