Publications by authors named "M F Santarelli"
Article Synopsis
- The study aims to provide updated evidence for managing stage I colon cancer (CC) post-surgery, focusing on recurrence rates and risk factors.
- Despite low recurrence risk, some guidelines suggest intensive follow-up is unnecessary, but data on actual recurrence rates is limited.
- The findings reveal a 5% recurrence rate, primarily systemic, with significant risk factors including tumor characteristics and patient demographics, suggesting a need for improved postoperative follow-up strategies.
Background: Diverting ileostomy is a common procedure in rectal cancer surgery, but it is sometimes associated with a nonnegligible rate of complications. The primary aim of this study was to analyze the incidence and types of stoma-related complications for ileostomy creation after rectal cancer resection. The secondary aims were to report the indications, the technical details, and the efficacy of stoma care provided by ostomy nurses.
View Article and Find Full Text PDFObjectives: To develop a deep-learning model for supervised classification of myocardial iron overload (MIO) from magnitude T2* multi-echo MR images.
Materials And Methods: Eight hundred twenty-three cardiac magnitude T2* multi-slice, multi-echo MR images from 496 thalassemia major patients (285 females, 57%), labeled for MIO level (normal: T2* > 20 ms, moderate: 10 ≤ T2* ≤ 20 ms, severe: T2* < 10 ms), were retrospectively studied. Two 2D convolutional neural networks (CNN) developed for multi-slice (MS-HippoNet) and single-slice (SS-HippoNet) analysis were trained using 5-fold cross-validation.
Article Synopsis
- - Medical image classification using convolutional neural networks (CNNs) usually needs a lot of manual adjustments, but neural architecture search (NAS) can automate this process, making it more efficient.
- - This study focuses on classifying different sub-types of cardiac amyloidosis using NAS on [18F]-Florbetaben PET cardiac images, with a significant dataset augmentation from 597 to 4048 images, resulting in 5000 evaluated architectures.
- - The best-performing network, named NAS-Net, achieved 76.95% overall accuracy and showed impressive sensitivity and specificity rates for the AL and ATTR-CA subjects, confirming that NAS can rival traditional methods while using fewer parameters.
Article Synopsis
- Nonampullary duodenal adenocarcinoma (NDA) is a rare type of gastrointestinal cancer that requires complete surgical removal for potential cure and long-term survival.
- This study introduces a fully laparoscopic method for surgically removing left-side NDA while preserving critical safety measures and ensuring complete resection and lymph node removal.
- The paper aims to provide guidance and enhance surgeons' skills in performing this minimally invasive and complex surgical procedure.