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Development of Artificial Intelligence Models for Segmentation and Characterization of Prostate Cancer: a Single-center Retrospective Observational Study.

S

San Donato Group (GSD)

Status

Completed

Conditions

Prostate Cancer

Treatments

Diagnostic Test: Artificial intelligence models for segmentation and characterization of prostate cancer

Study type

Observational

Funder types

Other

Identifiers

Details and patient eligibility

About

Prostate cancer is the second most common cancer in the male population. This pathology represents an oncological and public health problem especially in developed countries, due to a greater presence of elderly men in the population.

Medical imaging plays a central role in the staging and restaging of prostate disease. Magnetic resonance imaging (MRI), computed tomography (CT) and positron emission tomography (PET) are among the methods commonly used in normal clinical practice for the characterization of prostate cancer. To date, the study of these images is limited to a qualitative visual analysis, however there is increasing evidence relating to the usefulness of introducing a quantitative (or semi-quantitative) analysis of biomedical images.

The current increase in available imaging data, and their quality, allows the application of artificial intelligence methods also in the medical field for the automation of tasks (e.g. automatic segmentation) and classification (e.g. tumor aggressiveness).

The extraction of quantitative data, and more generally the study of tumor lesions, requires manual segmentation by one or more doctors. This process requires very long times as each image must be processed individually; furthermore, the result also depends on the level of experience of the doctor carrying out the segmentation and this could create a source of heterogeneity, affecting the reproducibility of the segmentation.

AI-based automatic segmentation methods can be applied to medical images for the localization of tumor lesions, thus exceeding the limits of manual segmentation.

Enrollment

350 patients

Sex

Male

Ages

18+ years old

Volunteers

No Healthy Volunteers

Inclusion criteria

  • Patients with histological diagnosis of prostate cancer;
  • Patients who performed a PET exam with 68 Ga-PMSA.

Exclusion criteria

  • CT and MR images with artifacts that preclude interpretation of results.

Trial contacts and locations

1

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Data sourced from clinicaltrials.gov

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