Original Research

Accepted on 20 Nov 2024

The Deep Learning Radiomics Nomogram Helps to Evaluate the Lymph Node Status in Cervical Adenocarcinoma/Adenosquamous Carcinoma

in Cancer Imaging and Image-directed Interventions

Mei Ling Xiao
Le Fu
Ting Qian
Yan Wei
Feng Hua Ma
Yong Ai Li
Jie Jun Cheng
Zhao Xia Qian
Guo Fu Zhang
Jin Wei Qiang

Frontiers in Oncology

doi 10.3389/fonc.2024.1414609

Original Research

Accepted on 15 Nov 2024

Comparison of Tracer Kinetic Models in Differentiating Malignant from Normal Prostate Tissue Using Dynamic Contrast-Enhanced MRI

in Cancer Imaging and Image-directed Interventions

Hongjiang Zhang
Jing Yang
Kunhua Wu
Zujun Hou
Ji Du
Jianhua Yan
Ying Zhao

Frontiers in Oncology

doi 10.3389/fonc.2024.1450388

Original Research

Accepted on 14 Nov 2024

Determinants of Conventional and Contrast-Enhanced Ultrasound Diagnosis of Fat-Poor Angiomyolipoma <5 cm

in Cancer Imaging and Image-directed Interventions

Xia Liang
Xian-Tao Zeng
Zhi-Liang Hong
Miao-Jiao Su
Jian-Chuan Yang
Song Song Wu

Frontiers in Oncology

doi 10.3389/fonc.2024.1446801

Original Research

Accepted on 14 Nov 2024

CT-based Habitat Radiomics for Predicting Treatment Response to Neoadjuvant Chemoimmunotherapy in Oesophageal Cancer Patients

in Cancer Imaging and Image-directed Interventions

Weibo Kong
Junrui Xu
Yunlong Huang
Kun Zhu
Long Yao
Kaiming Wu
Hanlin Wang
Yuhang Ma
Qi Zhang
Renquan Zhang

Frontiers in Oncology

doi 10.3389/fonc.2024.1418252

Case Report

Published on 14 Nov 2024

18F-FDG PET/CT detection of primary mammary-like adenocarcinoma of the vulva with multiple metastases: a case report

in Cancer Imaging and Image-directed Interventions

Qing Song
Yu Gu

Frontiers in Oncology

doi 10.3389/fonc.2024.1441064

206 views

Original Research

Published on 14 Nov 2024

Development and validation of a MRI-radiomics-based machine learning approach in High Grade Glioma to detect early recurrence

in Cancer Imaging and Image-directed Interventions

Fabrizio Pignotti
Tamara Ius
Rosellina Russo
Daniele Bagatto
Francesco Beghella Bartoli
Edda Boccia
Luca Boldrini
Silvia Chiesa
Chiara Ciardi
Davide Cusumano

Frontiers in Oncology

doi 10.3389/fonc.2024.1449235

133 views

Original Research

Published on 14 Nov 2024

Machine learning-based ultrasomics for predicting response to tyrosine kinase inhibitor in combination with anti-PD-1 antibody immunotherapy in hepatocellular carcinoma: a two-center study

in Cancer Imaging and Image-directed Interventions

Yiwen Hu
Linlin Zhang
Qinghua Qi
Shanshan Ren
Simeng Wang
Lanling Yang
Juan Zhang
Yuanyuan Liu
Xiaoxiao Li
Xiguo Cai

Frontiers in Oncology

doi 10.3389/fonc.2024.1464735

167 views

Original Research

Published on 13 Nov 2024

Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features

in Cancer Imaging and Image-directed Interventions

Yue Huang
Han Zhang
Qingzhu Ding
Dehua Chen
Xiang Zhang
Shangeng Weng
Guozhong Liu

Frontiers in Oncology

doi 10.3389/fonc.2024.1419297

147 views

Original Research

Published on 12 Nov 2024

An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

in Cancer Imaging and Image-directed Interventions

Sehrish Javed
Touseef Ahmad Qureshi
Lixia Wang
Linda Azab
Srinivas Gaddam
Stephen J. Pandol
Debiao Li

Frontiers in Oncology

doi 10.3389/fonc.2024.1378691

288 views

Original Research

Published on 12 Nov 2024

Ultrasound versus computed tomography guided percutaneous needle biopsy for subpleural pulmonary lesions

in Cancer Imaging and Image-directed Interventions

Yaoyao Zhou
Xuhong Wang
Rui Han
Shengmin Zhang

Frontiers in Oncology

doi 10.3389/fonc.2024.1474531

128 views

Original Research

Published on 12 Nov 2024

Adrenal indeterminate nodules: CT-based radiomics analysis of different machine learning models for predicting adrenal metastases in lung cancer patients

in Cancer Imaging and Image-directed Interventions

Lixiu Cao
Haoxuan Yang
Huijing Wu
Hongbo Zhong
Haifeng Cai
Yixing Yu
Lei Zhu

Frontiers in Oncology

doi 10.3389/fonc.2024.1411214

308 views

Original Research

Accepted on 11 Nov 2024

DenseIncepS115: A Novel Network-Level Fusion Framework for Alzheimer's Disease Prediction Using MRI Images

in Cancer Imaging and Image-directed Interventions

Fatima Rauf
Muhammad Attique Khan
Ghassen Ben Brahim
Wardah Abrar
Areej Alasiry
Mehrez Marzougui
Seob Jeon
Yunyoung Nam

Frontiers in Oncology

doi 10.3389/fonc.2024.1501742

Case Report

Accepted on 11 Nov 2024

A rare case of malignant solitary fibrous tumor within the joint cavity with review of the literature

in Cancer Imaging and Image-directed Interventions

Xiao-Jie Wang
Jia-Ping Zhou
Yao Pan
Risheng Yu

Frontiers in Oncology

doi 10.3389/fonc.2024.1463362

Review

Published on 08 Nov 2024

PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges

in Cancer Imaging and Image-directed Interventions

Yan Sun
Xinyu Ge
Rong Niu
Jianxiong Gao
Yunmei Shi
Xiaoliang Shao
Yuetao Wang
Xiaonan Shao

Frontiers in Oncology

doi 10.3389/fonc.2024.1491762

235 views

Original Research

Accepted on 07 Nov 2024

Prediction of HIF-1α Expression in Endometrial Carcinoma by enhanced T2 * weighted angiography and dynamic contrast-enhanced magnetic resonance imaging

in Cancer Imaging and Image-directed Interventions

Zong Yuan Xie
Liang Jie Lin
Chang Jun Ma
Ai Lian Liu

Frontiers in Oncology

doi 10.3389/fonc.2024.1439229

Original Research

Published on 07 Nov 2024

Machine learning-based multiparametric MRI radiomics nomogram for predicting WHO/ISUP nuclear grading of clear cell renal cell carcinoma

in Cancer Imaging and Image-directed Interventions

Yunze Yang
Ziwei Zhang
Hua Zhang
Mengtong Liu
Jianjun Zhang

Frontiers in Oncology

doi 10.3389/fonc.2024.1467775

155 views

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Articles

The Deep Learning Radiomics Nomogram Helps to Evaluate the Lymph Node Status in Cervical Adenocarcinoma/Adenosquamous Carcinoma

Comparison of Tracer Kinetic Models in Differentiating Malignant from Normal Prostate Tissue Using Dynamic Contrast-Enhanced MRI

Determinants of Conventional and Contrast-Enhanced Ultrasound Diagnosis of Fat-Poor Angiomyolipoma <5 cm

CT-based Habitat Radiomics for Predicting Treatment Response to Neoadjuvant Chemoimmunotherapy in Oesophageal Cancer Patients

18F-FDG PET/CT detection of primary mammary-like adenocarcinoma of the vulva with multiple metastases: a case report

Development and validation of a MRI-radiomics-based machine learning approach in High Grade Glioma to detect early recurrence

Machine learning-based ultrasomics for predicting response to tyrosine kinase inhibitor in combination with anti-PD-1 antibody immunotherapy in hepatocellular carcinoma: a two-center study

Comparison of multiple machine learning models for predicting prognosis of pancreatic ductal adenocarcinoma based on contrast-enhanced CT radiomics and clinical features

An insight to PDAC tumor heterogeneity across pancreatic subregions using computed tomography images

Ultrasound versus computed tomography guided percutaneous needle biopsy for subpleural pulmonary lesions

Adrenal indeterminate nodules: CT-based radiomics analysis of different machine learning models for predicting adrenal metastases in lung cancer patients

DenseIncepS115: A Novel Network-Level Fusion Framework for Alzheimer's Disease Prediction Using MRI Images

A rare case of malignant solitary fibrous tumor within the joint cavity with review of the literature

PET/CT radiomics and deep learning in the diagnosis of benign and malignant pulmonary nodules: progress and challenges

Prediction of HIF-1α Expression in Endometrial Carcinoma by enhanced T2 * weighted angiography and dynamic contrast-enhanced magnetic resonance imaging

Machine learning-based multiparametric MRI radiomics nomogram for predicting WHO/ISUP nuclear grading of clear cell renal cell carcinoma