Results 131 to 140 of about 377,080 (350)
The GLIM criteria are effective prognostic predictors in patients with resectable PDAC undergoing upfront surgery. Preoperative nutritional assessment using these criteria may contribute to determining treatment plans for resectable PDAC. ABSTRACT Aim Regarding the resectability of pancreatic adenocarcinoma (PDAC), not only anatomical factors but also ...
Takuya Mizumoto +9 more
wiley +1 more source
Glucose Transport across the Blood—Brain Barrier in Normal Human Subjects and Patients with Cerebral Tumours Studied Using [11C]3-O-Methyl-D-Glucose and Positron Emission Tomography [PDF]
David J. Brooks +9 more
openalex +1 more source
We aimed to refine treatment strategies for resected cases of pancreatic ductal adenocarcinoma in patients with unexpectedly uncovered postoperative noncurative factors. Cases with unexpected postoperative uncovering noncurative factors had significantly poorer prognoses than those without such factors.
Hiroto Matsui +20 more
wiley +1 more source
ABSTRACT Background Pancreatectomy for pancreatic ductal adenocarcinoma (PDAC) with arterial abutment is a complex, high‐risk surgery. We aimed to investigate the clinicopathological features, risk factors, and learning curve for local recurrence after pancreatectomy for PDAC with arterial abutment.
Jun Ishida +9 more
wiley +1 more source
Brain dopamine metabolism in patients with Parkinson's disease measured with positron emission tomography. [PDF]
Klaus L. Leenders +8 more
openalex +1 more source
We systematically reviewed conversion therapy for esophageal squamous cell carcinoma and propose a response‐based treatment strategy for cT4b and M1 disease. For cT4b, we emphasize definitive chemoradiotherapy with timed re‐evaluation and selective salvage or chemoselection to surgery; for M1, conversion is reserved for limited‐burden responders with ...
Eisuke Booka, Hiroya Takeuchi
wiley +1 more source
Machine‐Learning‐Guided Analysis of Breast Tumor Malignancy Based on Nuclear Morphological Features
Through statistical and machine learning approaches, we evaluate a clinically relevant dataset comprising more than 500 instances of patient breast tumor nuclei with 10 size and shape features. Our study underscores the significance of nuclear morphological features as potential breast tumor malignancy biomarkers and their combined use with statistical
Aditi Birwadkar +3 more
wiley +1 more source
Positron Emission Tomography and Its Role in Metabolic Imaging [PDF]
Michael M. Graham, T.K. Lewellen
openalex +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source

