Electromyography was used to examine the external rectal sphincter in 44 neonate patients and in 24 patients aged 2 months to 3 years with different anorectal developmental abnormalities. The same examinations were performed in the control groups: in 30 normal neonates, in 15 premature (grade I-II) neonates, and in 64 normal children aged 1 to 14 years. According to the data of comparative morphometry, a study was made of the autopsy material of the external rectal sphincter from 15 full-term stillborns and 16 premature (grade I-II) stillborns as well as from 11 infants with anorectal developmental abnormalities who died within the first days after birth without any surgical intervention. It is concluded that in patients with anorectal developmental abnormalities, the contractility of the external rectal sphincter is considerably lower than in the respective weight groups of normal children and that such patients demonstrated the lack of the normal time-course of changes in its increase with age.
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Tech Coloproctol
January 2025
Department of Colorectal Surgery, National Cancer Center Hospital East, 6-5-1 Kashiwanoha, Kashiwa, Chiba, 277-8577, Japan.
Lateral lymph node dissection (LLND) is getting global attention as an a surgical option to reduce local recurrence in locally advanced rectal cancer. As the transanal total mesorectal excision (TaTME) is gaining popularity worldwide, a novel LLND approach was established adopting a two-team approach that combines the transabdominal and transanal approaches using the TaTME technique. This narrative review describes the advantages, anatomical landmarks, surgical techniques, and pitfalls of transanal LLND (TaLLND).
View Article and Find Full Text PDFQuant Imaging Med Surg
January 2025
Department of Magnetic Resonance Imaging Diagnostic, The Second Affiliated Hospital of Harbin Medical University, Harbin, China.
Background: Lymphovascular invasion (LVI) is an independent prognostic factor for patients with rectal cancer (RC). Recent studies have shown that deep learning (DL)-based magnetic resonance imaging (MRI) has potential in evaluating the treatment response of RC patients, but the role of MRI-based DL in assessing RC LVI remains unclear. This study sought to develop and validate a DL model to evaluate the LVI status of RC patients preoperatively based on MRI, and to test its performance at an external center.
View Article and Find Full Text PDFInt J Colorectal Dis
January 2025
Colorectal Section, Department of Surgery, Chang Gung Memorial Hospital, Taoyuan, Taiwan.
Purpose: This systematic review examines the utility of deep learning algorithms in predicting pathological complete response (pCR) in rectal cancer patients undergoing neoadjuvant chemoradiotherapy (nCRT). The primary goal is to evaluate the performance of MRI-based artificial intelligence (AI) models and explore factors affecting their diagnostic accuracy.
Methods: The review followed PRISMA guidelines and is registered with PROSPERO (CRD42024628017).
J Gastrointest Oncol
December 2024
Medical Physics Unit, Department of Oncology, Faculty of Medicine, McGill University, Montreal, QC, Canada.
Background: Orthotopic models offer a more accurate representation of colorectal cancer (CRC) compared to subcutaneous models. Despite promising results from the reported intra-rectal models, establishing a standardized method for CRC research remains challenging due to model variability, hindering comprehensive studies on CRC pathogenesis and treatment modalities, such as brachytherapy. This study aimed to establish a standardized workflow for an orthotopic intra-rectal animal model to induce the growth of colorectal adenocarcinoma in male and female mice.
View Article and Find Full Text PDFAcad Radiol
January 2025
Department of Gastroenterology and Hepatology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325000, China (X.W., C.C., W.C., Y.G., X.L., X.J.); Department of Pathology, Wenzhou Hospital of Integrated Traditional Chinese and Western Medicine Hospital, Wenzhou 325000, China (X.W., J.W., C.C., W.C., Y.G., K.G., Y.C., Y.S., J.C., X.L., X.J.). Electronic address:
Rationale And Objectives: The precise prediction of response to neoadjuvant chemoradiotherapy is crucial for tailoring perioperative treatment in patients diagnosed with locally advanced rectal cancer (LARC). This retrospective study aims to develop and validate a model that integrates deep learning and sub-regional radiomics from MRI imaging to predict pathological complete response (pCR) in patients with LARC.
Materials And Methods: We retrospectively enrolled 768 eligible participants from three independent hospitals who had received neoadjuvant chemoradiotherapy followed by radical surgery.
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