Results 111 to 120 of about 533,732 (298)

Multiparametric Bioresorbable Sensor for Doxorubicin Detection via Molecularly Imprinted Synthetic Receptors

Advanced Science, EarlyView.
A biodegradable molecularly imprinted polymer porous silica sensor enables dual optical readout of doxorubicin via fluorescence and effective optical thickness shifts. The combined transduction mechanisms provide enhanced reliability and quantitative accuracy over clinically relevant concentrations, representing a step toward transient implantable ...
Martina Corsi, Tiziano Di Giulio, Eleonora Vandini, Muhammad Ibrar Asif, Eleonora Daini, Antonietta Vilella, Giuseppina Leo, Alessandra Ottani, Cosimino Malitesta, Daniela Giuliani, Elisabetta Mazzotta, Giuseppe Barillaro   +11 more
wiley   +1 more source

Statin exposure and risk of colorectal cancer in patients with inflammatory bowel disease: a systematic review and meta-analysis

Frontiers in Medicine
BackgroundWhile epidemiological studies have linked statin use to a reduced risk of advanced colorectal adenomas, its impact on colorectal cancer (CRC) risk in patients with inflammatory bowel disease (IBD) remains unclear.
Ai-juan Li, Hai-yin Jiang, Yong-hui Jia
doaj   +1 more source

rectum

Citation: 'rectum' in the IUPAC Compendium of Chemical Terminology, 5th ed.; International Union of Pure and Applied Chemistry; 2025. Online version 5.0.0, 2025. 10.1351/goldbook.11168 • License: The IUPAC Gold Book is licensed under Creative Commons Attribution-ShareAlike CC BY-SA 4.0 International for individual terms.
openaire   +1 more source

Laparoscopic Colorectal Surgery in the Era of Robotics: Evolution, Eclipse, or Equilibrium?

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Minimally invasive colorectal surgery has undergone a remarkable transformation over the past three decades. Laparoscopy, once viewed with skepticism, is now firmly established as a standard approach, supported by robust randomized trials demonstrating oncologic safety and improved recovery compared to open surgery.
Amanjeet Singh, Archit Gupta, Azhar Perwaiz, Adarsh Chaudhary   +3 more
wiley   +1 more source

Preoperative Aortic Calcification Volume Predicts Postoperative Complications in Nonpancreatic Cancer Patients Undergoing Pancreaticoduodenectomy

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background/Objectives Postoperative complications following pancreaticoduodenectomy (PD) remain high, particularly in patients with soft pancreatic texture. Abdominal aortic calcification volume (AACV), a surrogate marker of systemic arteriosclerosis, has been associated with increased surgical risk in lower gastrointestinal procedures ...
Masaki Horiuchi, Kentaro Miyake, Kota Sahara, Jun Yamamoto, Yutaro Kikuchi, Yasuhiro Yabushita, Yu Sawada, Yuki Homma, Ryusei Matsuyama, Itaru Endo   +9 more
wiley   +1 more source

Enhancing Surgical Efficiency and Cost‐Effectiveness With TaTME‐Combined Robot‐Assisted Surgery for Lower Rectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Robot‐assisted rectal surgery (RAS) offers improved dexterity and visualization; however, the high cost of equipment and consumables remains a major challenge for hospital management. At our institution, we have adopted a combined approach using transanal total mesorectal excision (TaTME) for lower rectal cancers, aiming to shorten ...
Takeru Matsuda, Hiroshi Hasegawa, Yasunori Otowa, Masayuki Ando, Tomoaki Aoki, Yasufumi Koterazawa, Naoki Urakawa, Hironobu Goto, Shingo Kanaji, Yoshihiro Kakeji   +9 more
wiley   +1 more source

Prognostic and Predictive Role of Lymph Node Count in Stage II Colon Cancer: A Retrospective Analysis of a Japanese Nationwide Cohort

Annals of Gastroenterological Surgery, EarlyView.
This study analyzed over 3500 patients with stage II colon cancer treated with D3 lymphadenectomy, to reassess the prognostic value of number of harvested lymph node and their role in predicting benefit from adjuvant chemotherapy using a Japanese nationwide cohort.
Kozo Kataoka, Akira Ouchi, Kanae Takahashi, Kazuma Ito, Manabu Shiozawa, Kenta Iguchi, Takashi Akiyoshi, Takefumi Yoshida, Masataka Ikeda, Eiji Shinto, Yasuyuki Takamizawa, Yoichi Ajioka, Hirotoshi Kobayashi, Yukihide Kanemitsu   +13 more
wiley   +1 more source

Short Distal Resection Margin Does Not Increase Recurrence Risk After R0 Resection for Rectal Neuroendocrine Tumors: A Single‐Institution Retrospective Study of 208 Patients

Annals of Gastroenterological Surgery, EarlyView.
This study evaluated the impact of distal resection margin (DRM) length on recurrence in 208 patients undergoing surgery for rectal neuroendocrine tumors (NETs). Our findings demonstrate that while oncological safety must unquestionably remain the top priority, a short pathological DRM (< 10 mm) does not increase recurrence risk when R0 resection is ...
Kentaro Sato, Shimpei Matsui, Kaoru Nakano, Yuto Maeda, Tatsuki Noguchi, Takashi Sakamoto, Toshiki Mukai, Tomohiro Yamaguchi, Takashi Akiyoshi   +8 more
wiley   +1 more source

Mature Tertiary Lymphoid Structures Indicate Good Chemotherapy Response and Prognosis in Advanced Colorectal Cancer

Annals of Gastroenterological Surgery, EarlyView.
In advanced colorectal cancer, tumors with mature tertiary lymphoid structures (TLS) exhibited abundant infiltration of CD3‐ and CD8‐positive lymphocytes in both primary and metastatic sites, indicating an activated immune response. The presence of mature TLS was also associated with favorable chemotherapy sensitivity and improved prognosis.
Nobuhiro Hosoi, Chika Komine, Gendensuren Dorjkhorloo, Takuya Shiraishi, Takuhisa Okada, Akihiko Sano, Makoto Sakai, Takehiko Yokobori, Ken Shirabe, Hiroshi Saeki   +9 more
wiley   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source