AIMC Topic: Prostatic Neoplasms

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The devil is in the details: a small-lesion sensitive weakly supervised learning framework for prostate cancer detection and grading.

Virchows Archiv : an international journal of pathology
Prostate cancer (PCa) is a significant health concern in aging males, and the diagnosis depends primarily on histopathological assessments to determine tumor size and Gleason score. This process is highly time-consuming, subjective, and relies on the...

Cumulative sum analysis of the learning curve of laparoendoscopic single-site robot-assisted radical prostatectomy.

Asian journal of surgery
BACKGROUND: Radical prostatectomy has become the gold standard for treating localized prostate cancer. Improvement in the single-site technique and surgeon's skill reduces not only the hospital duration but also the number of wounds. Realizing the le...

Exploring the Use of Artificial Intelligence in the Management of Prostate Cancer.

Current urology reports
PURPOSE OF REVIEW: This review aims to explore the current state of research on the use of artificial intelligence (AI) in the management of prostate cancer. We examine the various applications of AI in prostate cancer, including image analysis, pred...

Comparison of oncological and functional outcomes of perineoscopic radical prostatectomy and robot-assisted radical prostatectomy.

Updates in surgery
The aim of this study is to compare the functional, oncological, and complication outcomes of perineoscopic radical prostatectomy (PeRP) and robot-assisted radical prostatectomy (RARP) operations. Patients who underwent radical prostatectomy (RP) bet...

Single-port robot-assisted perineal radical prostatectomy with the da Vinci XI system: initial experience and learning curve using the cumulative sum method.

World journal of surgical oncology
BACKGROUND: To evaluate the early functional and oncological outcomes of single-port robot-assisted perineal radical prostatectomy (sp-pRARP) using the da Vinci XI system and analyze its learning curve using the cumulative sum (CUSUM) method.

Patient-specific three-dimensional dose distribution prediction via deep learning for prostate cancer therapy: Improvement with the structure loss.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
PURPOSE: Deep learning (DL)-based dose distribution prediction can potentially reduce the cost of inverse planning process. We developed and introduced a structure-focused loss (L) for 3D dose prediction to improve prediction accuracy. This study inv...

Assessment of oligometastasis status of prostate cancer following combined robot-assisted radical prostatectomy and androgen deprivation versus androgen deprivation therapy alone using PSA percentage decline rate.

Frontiers in endocrinology
OBJECTIVE: To compare the tumor control in prostate cancer patients with oligo-metastasis following combined robot-assisted radical prostatectomy and androgen deprivation versus androgen deprivation therapy alone based on total prostate-specific anti...

Robot assisted radical prostatectomy in fit older patients compared to a standard population: Clinical characteristics, surgical, oncological and functional outcomes.

Progres en urologie : journal de l'Association francaise d'urologie et de la Societe francaise d'urologie
INTRODUCTION: To compare robotic assisted radical prostatectomy (RARP) in well-selected older patients with clinically localized prostate cancer, compared to a younger population. Primary endpoint was perioperative outcomes comparison and secondary e...

Multimodal convolutional neural networks based on the Raman spectra of serum and clinical features for the early diagnosis of prostate cancer.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
We collected surface-enhanced Raman spectroscopy (SERS) data from the serum of 729 patients with prostate cancer or benign prostatic hyperplasia (BPH), corresponding to their pathological results, and built an artificial intelligence-assisted diagnos...

The Evidence for Using Artificial Intelligence to Enhance Prostate Cancer MR Imaging.

Current oncology reports
PURPOSE OF REVIEW: The purpose of this review is to summarize the current status of artificial intelligence applied to prostate cancer MR imaging.