AIMC Topic: Disease-Free Survival
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Is modern external beam radiotherapy with androgen deprivation therapy still a viable alternative for prostate cancer in an era of robotic surgery and brachytherapy: a comparison of Australian series.
Journal of medical imaging and radiation oncology
Jan 15, 2015
INTRODUCTION: We compare the results of modern external-beam radiotherapy (EBRT), using combined androgen deprivation and dose-escalated intensity-modulated radiotherapy with MRI-CT fusion and daily image guidance with fiducial markers (DE-IG-IMRT), ...
Postoperative complications and short-term oncological outcomes of patients aged ≥80 years undergoing robot-assisted radical cystectomy.
World journal of urology
Nov 20, 2014
PURPOSE: To assess complication rates and early oncological outcomes of patients aged ≥80 years who underwent robot-assisted radical cystectomy (RARC).
New York
Cystectomy
Robotics
Neoplasm Staging
Neoplasm Recurrence, Local
Treatment Outcome
Prognosis
Disease-Free Survival
Follow-Up Studies
Retrospective Studies
Age Factors
Female
Urinary Bladder Neoplasms
Aged, 80 and over
Survival Rate
Humans
Male
Postoperative Complications
Incidence
Time Factors
Comparing robotic surgery with laparoscopy and laparotomy for endometrial cancer management: a cohort study.
International journal of surgery (London, England)
Nov 18, 2014
INTRODUCTION: Robotic surgery has been applied in managing various types of gynecologic cancers. The purpose of this study is to compare the surgical outcomes of robotic surgery, laparoscopy and laparotomy for managing endometrial cancer.
Minimally invasive surgery for endometrial cancer: a comprehensive review.
Archives of gynecology and obstetrics
Oct 25, 2014
PURPOSE OF REVIEW: The objective of this article is to review the recently published literature on the use of minimally invasive surgical approaches for patients with endometrial cancer.
MRI-based multimodal AI model enables prediction of recurrence risk and adjuvant therapy in breast cancer.
Pharmacological research
Jun 1, 2025
Timely intervention and improved prognosis for breast cancer patients rely on early metastasis risk detection and accurate treatment predictions. This study introduces an advanced multimodal MRI and AI-driven 3D deep learning model, termed the 3D-MMR...
A magnetic resonance imaging (MRI)-based deep learning radiomics model predicts recurrence-free survival in lung cancer patients after surgical resection of brain metastases.
Clinical radiology
Jun 1, 2025
AIM: To develop and validate a magnetic resonance imaging (MRI)-based deep learning radiomics model (DLRM) to predict recurrence-free survival (RFS) in lung cancer patients after surgical resection of brain metastases (BrMs).
Using Optimal Survival Tree Model for AF Event-Free Survival Time Prediction.
Studies in health technology and informatics
May 15, 2025
This study presents a methodology to acquire, integrate, and analyze clinical data based on an innovative application of the Optimal Survival Tree (OST) algorithm. It has been tested on a clinical dataset of 4114 patients with a follow-up of 59.0 ± 1...
Predicting Recurrence in Locally Advanced Rectal Cancer Using Multitask Deep Learning and Multimodal MRI.
Radiology. Imaging cancer
May 1, 2025
Purpose To develop and validate a deep multitask network, MultiRecNet, for fully automatic prediction of disease-free survival (DFS) in patients with neoadjuvant chemoradiotherapy (nCRT)-treated locally advanced rectal cancer (LARC). Materials and Me...
Artificial intelligence in liver cancer surgery: Predicting success before the first incision.
World journal of gastroenterology
Apr 28, 2025
Advancements in machine learning have revolutionized preoperative risk assessment. In this article, we comment on the article by Huang , which presents a recent multicenter cohort study demonstrated that machine learning algorithms effectively strati...
[Prediction of recurrence-free survival in lung adenocarcinoma based on self-supervised pre-training and multi-task learning].
Sheng wu yi xue gong cheng xue za zhi = Journal of biomedical engineering = Shengwu yixue gongchengxue zazhi
Apr 25, 2024
Computed tomography (CT) imaging is a vital tool for the diagnosis and assessment of lung adenocarcinoma, and using CT images to predict the recurrence-free survival (RFS) of lung adenocarcinoma patients post-surgery is of paramount importance in tai...
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