Results 181 to 190 of about 156,116 (297)
Individualizing glioma radiotherapy planning by optimization of a data and physics-informed discrete loss. [PDF]
Balcerak M +11 more
europepmc +1 more source
Preoperative CT based on lymph node size shows moderate accuracy for detecting nodal metastasis in colon cancer. In this meta‐analysis of 29 studies (5,634 patients), pooled sensitivity and specificity were 0.69 and 0.66. Size‐based CT alone has limited value for clinical decision‐making.
Yuji Takayama +4 more
wiley +1 more source
ABSTRACT Aim Stoma creation is often required in Crohn's disease (CD), most commonly because of progressive anorectal disease. As stoma closure strongly influences long‐term quality of life and surgical decision‐making, this study evaluated the indications and long‐term outcomes of stoma creation in patients with CD.
Kentaro Nagano +9 more
wiley +1 more source
RapidPlan Knowledge-Based Radiotherapy Planning Compared to Manual Planning in Locally Advanced Non-Small-Cell Lung Cancer. [PDF]
Falick Michaeli T +7 more
europepmc +1 more source
This retrospective study analyzed patients aged ≥ 85 years undergoing emergency abdominal surgery, focusing on short‐term outcomes and inpatient cost structure under the Japanese DPC system. Although major complications occurred in 19.4% of patients, more than 70% were discharged home.
Yuta Kobayashi +8 more
wiley +1 more source
Automatic radiotherapy planning for deliverable plans using deep learning dose prediction and dose rings optimization in cervical cancer. [PDF]
Huang W +13 more
europepmc +1 more source
Although neoadjuvant chemotherapy with fluorouracil, cisplatin, and docetaxel (NAC‐DCF) is the current standard neoadjuvant regimen for esophageal squamous cell carcinoma, its substantial toxicity underscores the need to identify patients who derive the greatest benefit.
Eiji Higaki +9 more
wiley +1 more source
DART-Net: A Novel Deep Learning Framework for Precise Radiotherapy Planning with Automated Multiorgan Segmentation and RTSTRUCT Generation. [PDF]
Hamzaoui O +5 more
europepmc +1 more source
Threshold‐optimized machine learning models using routine clinical and laboratory data in 623 adults undergoing appendectomy. Logistic regression (AUC = 0.765) and random forest (AUC = 0.785) were the best‐performing models for appendicitis detection and complicated appendicitis prediction, respectively.
Ivan Males +8 more
wiley +1 more source
Applications of Advanced Imaging for Radiotherapy Planning and Response Assessment in the Central Nervous System. [PDF]
Lawrence LSP +9 more
europepmc +1 more source

