AIMC Topic: Rectal Neoplasms

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Multicenter Evaluation of a Weakly Supervised Deep Learning Model for Lymph Node Diagnosis in Rectal Cancer at MRI.

Radiology. Artificial intelligence
Purpose To develop a Weakly supervISed model DevelOpment fraMework (WISDOM) model to construct a lymph node (LN) diagnosis model for patients with rectal cancer (RC) that uses preoperative MRI data coupled with postoperative patient-level pathologic ...

Prediction of T Stage of Rectal Cancer After Neoadjuvant Therapy by Multi-Parameter Magnetic Resonance Radiomics Based on Machine Learning Algorithms.

Technology in cancer research & treatment
INTRODUCTION: Since the response of patients with rectal cancer (RC) to neoadjuvant therapy is highly variable, there is an urgent need to develop accurate methods to predict the post-treatment T (pT) stage. The purpose of this study was to evaluate ...

Evaluation of Neoadjuvant Chemoradiotherapy Response in Rectal Cancer Using MR Images and Deep Learning Neural Networks.

Current medical imaging
INTRODUCTION: The aim of the study was to develop deep-learning neural networks to guide treatment decisions and for the accurate evaluation of tumor response to neoadjuvant chemoradiotherapy (nCRT) in rectal cancer using magnetic resonance (MR) imag...

The effect of the re-segmentation method on improving the performance of rectal cancer image segmentation models.

Technology and health care : official journal of the European Society for Engineering and Medicine
BACKGROUND: Rapid and accurate segmentation of tumor regions from rectal cancer images can better understand the patientâs lesions and surrounding tissues, providing more effective auxiliary diagnostic information. However, cutting rectal tumors with...

[A Case of Robot-Assisted Abdominoperineal Resection Alongside En Bloc Prostatectomy and Vesico-Urethral Anastomosis for Local Recurrence].

Gan to kagaku ryoho. Cancer & chemotherapy
A 66-year-old man presenting with cStage Ⅲc rectal cancer underwent laparoscopic low anterior resection(D3 lymph node dissection and R0 resection)following neoadjuvant chemoradiotherapy(capecitabine, 45 Gy/25 Fr)and received adjuvant chemotherapy(CAP...

An MRI Deep Learning Model Predicts Outcome in Rectal Cancer.

Radiology
Background Deep learning (DL) models can potentially improve prognostication of rectal cancer but have not been systematically assessed. Purpose To develop and validate an MRI DL model for predicting survival in patients with rectal cancer based on s...

[Network meta-analysis comparing the clinical outcomes and safety of robotic, laparoscopic, and transanal total rectal mesenteric resection for rectal cancer].

Zhonghua wei chang wai ke za zhi = Chinese journal of gastrointestinal surgery
To methodically assess the clinical effectiveness and safety of robot-assisted total rectal mesenteric resection (RTME), laparoscopic-assisted total rectal mesenteric resection (laTME), and transanal total rectal mesenteric resection (taTME). A com...

Radiomics in colorectal cancer patients.

World journal of gastroenterology
The main therapeutic options for colorectal cancer are surgical resection and adjuvant chemotherapy in non-metastatic disease. However, the evaluation of the overall adjuvant chemotherapy benefit in patients with a high risk of recurrence is challeng...

Development and Validation of a Radiomics Model Based on 3-Dimensional Endoanal Rectal Ultrasound of Rectal Cancer for Predicting Lymph Node Metastasis.

The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology
BACKGROUND: Development of a radiomics model for predicting lymph node metastasis status in rectal cancer patients based on 3-dimensional endoanal rectal ultrasound images.

[Short-Term and Long-Term Results of Robot-Assisted Rectal Resections Performed in Our Department].

Gan to kagaku ryoho. Cancer & chemotherapy
BACKGROUND: We introduced the da Vinci robotic surgical system in 2006 for the first time in Japan, and have been performing robot-assisted rectal cancer surgeries since 2010, after receiving approval from the hospital's Ethics Review Committee in 20...