Deep convolutional neural network for preoperative prediction of microvascular invasion and clinical outcomes in patients with HCCs
Sign Up to like & getrecommendations! Published in 2021 at "European Radiology"
DOI: 10.1007/s00330-021-08198-w
Abstract: We aimed to develop and validate a deep convolutional neural network (DCNN) model for preoperative prediction of microvascular invasion (MVI) in hepatocellular carcinoma (HCC) and its clinical outcomes using contrast-enhanced computed tomography (CECT) in a… read more here.
Keywords: preoperative prediction; combined nomogram; validation; clinical outcomes ... See more keywords
Development and validation of a combined nomogram model based on deep learning contrast-enhanced ultrasound and clinical factors to predict preoperative aggressiveness in pancreatic neuroendocrine neoplasms
Sign Up to like & getrecommendations! Published in 2022 at "European Radiology"
DOI: 10.1007/s00330-022-08703-9
Abstract: This study aimed to develop and validate a combined nomogram model based on deep learning (DL) contrast-enhanced ultrasound (CEUS) and clinical factors to preoperatively predict the aggressiveness of pancreatic neuroendocrine neoplasms (PNENs). In this retrospective… read more here.
Keywords: combined nomogram; nomogram model; aggressiveness pancreatic; model ... See more keywords
A Combined Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors
Sign Up to like & getrecommendations! Published in 2018 at "Clinical Cancer Research"
DOI: 10.1158/1078-0432.ccr-18-1305
Abstract: Purpose: The purpose of this study is to develop and validate a nomogram model combing radiomics features and clinical characteristics to preoperatively differentiate grade 1 and grade 2/3 tumors in patients with pancreatic neuroendocrine tumors… read more here.
Keywords: combined nomogram; pancreatic neuroendocrine; grade; nomogram model ... See more keywords
Combined nomogram for differentiating adrenal pheochromocytoma from large-diameter lipid-poor adenoma using multiphase CT radiomics and clinico-radiological features
Sign Up to like & getrecommendations! Published in 2025 at "BMC Medical Imaging"
DOI: 10.1186/s12880-025-01835-6
Abstract: Adrenal incidentalomas (AIs) are predominantly adrenal adenomas (80%), with a smaller proportion (7%) being pheochromocytomas(PHEO). Adenomas are typically non-functional tumors managed through observation or medication, with some cases requiring surgical removal, which is generally safe.… read more here.
Keywords: clinico radiological; model; nomogram model; large diameter ... See more keywords
A combined nomogram based on radiomics and hematology to predict the pathological complete response of neoadjuvant immunochemotherapy in esophageal squamous cell carcinoma
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DOI: 10.1186/s12885-024-12239-0
Abstract: To predict pathological complete response (pCR) in patients receiving neoadjuvant immunochemotherapy (nICT) for esophageal squamous cell carcinoma (ESCC), we explored the factors that influence pCR after nICT and established a combined nomogram model. We retrospectively… read more here.
Keywords: complete response; pathological complete; hematology; neoadjuvant immunochemotherapy ... See more keywords
A Novel Combined Nomogram Model for Predicting the Pathological Complete Response to Neoadjuvant Chemotherapy in Invasive Breast Carcinoma of No Specific Type: Real-World Study
Sign Up to like & getrecommendations! Published in 2022 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2022.916526
Abstract: Objective To explore the value of a predictive model combining the multiparametric magnetic resonance imaging (mpMRI) radiomics score (RAD-score), clinicopathologic features, and morphologic features for the pathological complete response (pCR) to neoadjuvant chemotherapy (NAC) in… read more here.
Keywords: rad score; nomogram model; model; combined nomogram ... See more keywords
CT radiomics analysis facilitates preoperative risk stratification of central lymph node metastasis in papillary thyroid cancer: a multicenter study
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Oncology"
DOI: 10.3389/fonc.2025.1681000
Abstract: Rationale and objectives To develop a CT-based radiomics model to predict central lymph node metastasis (CLNM) in papillary thyroid cancer (PTC) patients and classify risk. Materials and methods 218 PTC patients from institution 1 were… read more here.
Keywords: stratification; analysis; risk; rad score ... See more keywords