Results 181 to 190 of about 4,894,740 (406)
Trends in Gender Disparities in Surgical Experience: A National Clinical Database Study
ABSTRACT Background We previously reported the gender disparities in surgical procedures between male and female surgeons using National Clinical Database covering more than 95% of all operations performed in Japan. This study aims to examine the changes in gender disparity in the surgical experience of gastrointestinal surgeons in Japan before and ...
Chie Tanaka+6 more
wiley +1 more source
Identification of Hypoxanthine and Phosphoenolpyruvic Acid as Serum Markers of Chemoradiotherapy Response in Locally Advanced Rectal Cancer [PDF]
Kun Kim, Seung‐Gu Yeo, Byong Chul Yoo
openalex +1 more source
The key to unlocking ICI benefit in pMMR/MSS LARC is to convert “cold” tumors into “hot” ones through lymphocyte‐sparing SCRT and judicious chemotherapy, creating a milieu in which ICIs can act effectively. ABSTRACT The management of locally advanced rectal cancer (LARC) has evolved with the adoption of total neoadjuvant therapy (TNT), integrated ...
Yoshinori Kagawa+5 more
wiley +1 more source
Chemoradiotherapy response in recurrent rectal cancer. [PDF]
Bhangu, A+5 more
core +1 more source
Solitary rectal ulcer syndrome: MRI findings and differentiation from rectal cancer
Background Systematic MRI findings of solitary rectal ulcer syndrome (SRUS) are lacking. We aimed to evaluate the MRI findings of SRUS and to identify the MRI features that differentiate SRUS from rectal cancer.
Peiyi Xie+9 more
doaj +1 more source
Preoperative versus postoperative chemoradiotherapy for rectal cancer.
R. Sauer+13 more
semanticscholar +1 more source
ABSTRACT Aim The prognostic immune nutritional index (PINI) is increasingly recognized for its potential clinical utility. However, multifaceted evaluations of its ability to predict oncological outcomes in colorectal cancer (CRC) and its association with postoperative infectious complications remain limited.
Shinji Yamashita+9 more
wiley +1 more source
This study developed a user‐friendly online dynamic nomogram using Bayesian model averaging to predict survival in colon cancer patients. Drawing on data from over 2400 cases, the model demonstrated strong predictive accuracy and was externally validated, offering a practical tool to support personalised clinical decision‐making.
Mohammad Asghari‐Jafarabadi+4 more
wiley +1 more source