A5100647654- Hormonal Regulation and Hypertension
- Adrenal and Paraganglionic Tumors
- Neutropenia and Cancer Infections
- Lung Cancer Research Studies
- Radiomics and Machine Learning in Medical Imaging
- Neuroblastoma Research and Treatments
- Oral health in cancer treatment
- Neuroendocrine Tumor Research Advances
- Blood disorders and treatments
- Ovarian cancer diagnosis and treatment
- Pituitary Gland Disorders and Treatments
Shanxi Medical University
2022-2024
Shanxi Academy of Medical Sciences
2022-2024
Evive Biotech (China)
2024
Objective The aim is to construct machine learning (ML) prediction models for the difficulty of retroperitoneal laparoscopic adrenalectomy (RPLA) based on clinical and radiomic characteristics validate models. Methods Patients who had undergone RPLA at Shanxi Bethune Hospital between August 2014 December 2020 were retrospectively gathered. They then randomly split into a training set validation set, maintaining ratio 7:3. model was constructed using validated set. Furthermore, total 117...
While it is known that inaccurate evaluation for retroperitoneal laparoscopic adrenalectomy (RPLA) can affect the surgical results of patients, no stable and effective prediction model procedure exists. In this study, we aimed to develop a computed tomography (CT) -based radiological-clinical evaluating difficulty RPLA.Data from 398 patients with adrenal tumors treated by RPLA in single center August 2014 December 2020 were retrospectively analyzed divided into sets. The influencing factors...
While it is known that accurate evaluation of overall survival (OS) and disease-specific (DSS) for patients with primary adrenal lymphoma (PAL) can affect their prognosis, no stable effective prediction model exists. This study aimed to develop models evaluate survival. enrolled 5448 masses from the SEER Program. The influencing factors were selected using least absolute shrinkage selection operator regression (LASSO) Fine Gray (FGM). In addition, nomograms constructed. Receiver operating...
Neuroendocrine carcinoma (NEC) is a rare yet potentially perilous neoplasm. The objective of this study was to develop prognostic models for the survival NEC patients in genitourinary system and subsequently validate these models. A total 7125 neuroendocrine neoplasm (NEN) were extracted. Comparison with different types NEN before after propensity score-matching (PSM). 3057 NEC, whose information complete, influencing factors chosen through utilization least absolute shrinkage selection...