Frontiers in Oncology | Cancer Imaging and Image-directed Interventions

Original Research

Published on 18 Sep 2024

Ultrasound-based radiomics nomogram for predicting HER2-low expression breast cancer

in Cancer Imaging and Image-directed Interventions

Xueling Zhang
Shaoyou Wu
Xiao Zu
Xiaojing Li
Qing Zhang
Yongzhen Ren
Xiaoqin Qian
Shan Tong

Frontiers in Oncology

doi 10.3389/fonc.2024.1438923

3,387 views
6 citations

Original Research

Published on 17 Sep 2024

Radiomics-based machine learning models for differentiating pathological subtypes in cervical cancer: a multicenter study

in Cancer Imaging and Image-directed Interventions

Huiling Liu
Mi Lao
Yalin Zhang
Cheng Chang
Yong Yin

Frontiers in Oncology

doi 10.3389/fonc.2024.1346336

2,388 views
8 citations

Original Research

Published on 16 Sep 2024

Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learning

in Cancer Imaging and Image-directed Interventions

Priya Bhardwaj
SeongKi Kim
Apeksha Koul
Yogesh Kumar
Ankur Changela
Jana Shafi
Muhammad Fazal Ijaz

Frontiers in Oncology

doi 10.3389/fonc.2024.1431912

3,435 views
4 citations

Original Research

Published on 16 Sep 2024

Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neural networks

in Cancer Imaging and Image-directed Interventions

Yun Zhong
Lingfeng Chen
Fadian Ding
Wenshi Ou

Frontiers in Oncology

doi 10.3389/fonc.2024.1401095

3,285 views
4 citations

Original Research

Published on 13 Sep 2024

Role of CT imaging in addressing resectability issues in differentiated thyroid cancer: imaging-based Mahajan grading system for TI and ETE

in Cancer Imaging and Image-directed Interventions

Abhishek Mahajan
Shivam Rastogi
Shreya Shukla
Ujjwal Agarwal
Richa Vaish
Nivedita Chakrabarty
Renuka Ashtekar
Shonal Deokar
Atif Shaikh
Prathamesh Pai

Frontiers in Oncology

doi 10.3389/fonc.2024.1382518

2,520 views
2 citations

Original Research

Published on 13 Sep 2024

Contrast-enhanced CT radiomics combined with multiple machine learning algorithms for preoperative identification of lymph node metastasis in pancreatic ductal adenocarcinoma

in Cancer Imaging and Image-directed Interventions

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

Frontiers in Oncology

doi 10.3389/fonc.2024.1342317

2,158 views
3 citations

Original Research

Published on 11 Sep 2024

Differentiation of pheochromocytoma and adrenal lipoid adenoma by radiomics: are enhanced CT scanning images necessary?

in Cancer Imaging and Image-directed Interventions

Shi he Liu
Pei Nie
Shun li Liu
Dapeng Hao
Juntao Zhang
Rui Sun
Zhi tao Yang

Frontiers in Oncology

doi 10.3389/fonc.2024.1339671

1,869 views

Original Research

Published on 11 Sep 2024

In vivo characterization of brain tumor biomechanics: magnetic resonance elastography in intracranial B16 melanoma and GL261 glioma mouse models

in Cancer Imaging and Image-directed Interventions

Anastasia Janas
Jakob Jordan
Gergely Bertalan
Tom Meyer
Jan Bukatz
Ingolf Sack
Carolin Senger
Melina Nieminen-Kelhä
Susan Brandenburg
Irina Kremenskaia

Frontiers in Oncology

doi 10.3389/fonc.2024.1402578

3,738 views
3 citations

Original Research

Published on 11 Sep 2024

Comparative assessment of the diagnostic efficacy of [18F]AlF-NOTA-FAPI-04 and [18F]FDG PET/CT imaging for detecting postoperative recurrence in gastric cancer patients: a pilot study

in Cancer Imaging and Image-directed Interventions

Jian Yang
Yong Wu
Yanyin Zhang
Xiang Peng
Chengzhi Jiang
Wanjing Zhou
Jiashun Dai
Aimin Xie
Hui Ye
Kai Zheng

Frontiers in Oncology

doi 10.3389/fonc.2024.1427649

2,172 views
3 citations

Original Research

Published on 06 Sep 2024

Multiview deep learning networks based on automated breast volume scanner images for identifying breast cancer in BI-RADS 4

in Cancer Imaging and Image-directed Interventions

Yini Li
Cao Li
Tao Yang
Lingzhi Chen
Mingquan Huang
Lu Yang
Shuxian Zhou
Huaqing Liu
Jizhu Xia
Shijie Wang

Frontiers in Oncology

doi 10.3389/fonc.2024.1399296

2,211 views
3 citations

Original Research

Published on 05 Sep 2024

Significance of maximum intensity projection technique of multimodal ultrasound imaging in differentiating follicular thyroid carcinoma from benign lesions

in Cancer Imaging and Image-directed Interventions

Wei Gao
Yutong Chen
Qiong Wu

Frontiers in Oncology

doi 10.3389/fonc.2024.1407611

1,876 views
1 citation

Original Research

Published on 05 Sep 2024

Prediction of lymphovascular invasion of gastric cancer based on contrast-enhanced computed tomography radiomics

in Cancer Imaging and Image-directed Interventions

Si-Yu Zhen
Yong Wei
Ran Song
Xiao-Huan Liu
Pei-Ru Li
Xiang-Yan Kong
Han-Yu Wei
Wen-Hua Fan
Chang-Hua Liang

Frontiers in Oncology

doi 10.3389/fonc.2024.1389278

2,178 views

Original Research

Published on 04 Sep 2024

Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade

in Cancer Imaging and Image-directed Interventions

Chi Zhang
Peng Wang
Jinlong He
Qiong Wu
Shenghui Xie
Bo Li
Xiangcheng Hao
Shaoyu Wang
Huapeng Zhang
Zhiyue Hao

Frontiers in Oncology

doi 10.3389/fonc.2024.1435204

2,883 views
2 citations

Review

Published on 03 Sep 2024

Artificial intelligence techniques in liver cancer

in Cancer Imaging and Image-directed Interventions

Lulu Wang
Mostafa Fatemi
Azra Alizad

Frontiers in Oncology

doi 10.3389/fonc.2024.1415859

10,948 views
16 citations

Original Research

Published on 30 Aug 2024

AI-enhanced diagnostic model for pulmonary nodule classification

in Cancer Imaging and Image-directed Interventions

Jifei Chen
Moyu Ming
Shuangping Huang
Xuan Wei
Jinyan Wu
Sufang Zhou
Zhougui Ling

Frontiers in Oncology

doi 10.3389/fonc.2024.1417753

3,097 views
2 citations

Original Research

Published on 30 Aug 2024

A model based on C-TIRADS combined with SWE for predicting Bethesda I thyroid nodules

in Cancer Imaging and Image-directed Interventions

An Wei
Yu-Long Tang
Shi-Chu Tang
Xian-Ya Zhang
Jia-Yu Ren
Long Shi
Xin-Wu Cui
Chao-Xue Zhang

Frontiers in Oncology

doi 10.3389/fonc.2024.1421088

2,079 views

Original Research

Published on 30 Aug 2024

Clinical value of ACR O-RADS combined with CA125 in the risk stratification of adnexal masses

in Cancer Imaging and Image-directed Interventions

Rui-Ke Pan
Shu-Qin Zhang
Xian-Ya Zhang
Tong Xu
Xin-Wu Cui

Frontiers in Oncology

doi 10.3389/fonc.2024.1369900

2,907 views
1 citation

Original Research

Published on 29 Aug 2024

2.5D peritumoural radiomics predicts postoperative recurrence in stage I lung adenocarcinoma

in Cancer Imaging and Image-directed Interventions

Haimei Lan
Chaosheng Wei
Fengming Xu
Eqing Yang
Dayu Lu
Qing Feng
Tao Li

Frontiers in Oncology

doi 10.3389/fonc.2024.1382815

2,027 views
1 citation

Original Research

Published on 29 Aug 2024

Weakly supervised large-scale pancreatic cancer detection using multi-instance learning

in Cancer Imaging and Image-directed Interventions

Shyamapada Mandal
Keerthiveena Balraj
Hariprasad Kodamana
Chetan Arora
Julie M. Clark
David S. Kwon
Anurag S. Rathore

Frontiers in Oncology

doi 10.3389/fonc.2024.1362850

3,271 views
3 citations

Original Research

Published on 29 Aug 2024

Neighborhood attention transformer multiple instance learning for whole slide image classification

in Cancer Imaging and Image-directed Interventions

Rukhma Aftab
Qiang Yan
Juanjuan Zhao
Gao Yong
Yue Huajie
Zia Urrehman
Faizi Mohammad Khalid

Frontiers in Oncology

doi 10.3389/fonc.2024.1389396

2,677 views
3 citations

Original Research

Published on 29 Aug 2024

Using multimodal ultrasound including full-time-series contrast-enhanced ultrasound cines for identifying the nature of thyroid nodules

in Cancer Imaging and Image-directed Interventions

Hanlu He
Junyan Zhu
Zhengdu Ye
Haiwei Bao
Jinduo Shou
Ying Liu
Fen Chen

Frontiers in Oncology

doi 10.3389/fonc.2024.1340847

1,877 views
5 citations

Review

Published on 23 Aug 2024

Applications of image-guided locoregional transarterial chemotherapy in patients with inoperable colorectal cancer: a review

in Cancer Imaging and Image-directed Interventions

Wenjun Meng
Lu Pan
Li Huang

Frontiers in Oncology

doi 10.3389/fonc.2024.1464242

6,117 views
6 citations

Correction

Published on 23 Aug 2024

Corrigendum: PI-YOLO: dynamic sparse attention and lightweight convolutional based YOLO for vessel detection in pathological images

in Cancer Imaging and Image-directed Interventions

Cong Li
Shuanlong Che
Haotian Gong
Youde Ding
Yizhou Luo
Jianing Xi
Ling Qi
Guiying Zhang

Frontiers in Oncology

doi 10.3389/fonc.2024.1478598

1,035 views

Original Research

Published on 22 Aug 2024

Development of a prognostic nomogram for esophageal squamous cell carcinoma patients received radiotherapy based on clinical risk factors

in Cancer Imaging and Image-directed Interventions

Yang Li
Xian Shao
Li-Juan Dai
Meng Yu
Meng-Di Cong
Jun-Yi Sun
Shuo Pan
Gao-Feng Shi
An-Du Zhang
Hui Liu

Frontiers in Oncology

doi 10.3389/fonc.2024.1429790

1,394 views

2,149 articles

articles

Ultrasound-based radiomics nomogram for predicting HER2-low expression breast cancer

Radiomics-based machine learning models for differentiating pathological subtypes in cervical cancer: a multicenter study

Advanced CNN models in gastric cancer diagnosis: enhancing endoscopic image analysis with deep transfer learning

Assessing microvascular invasion in HBV-related hepatocellular carcinoma: an online interactive nomogram integrating inflammatory markers, radiomics, and convolutional neural networks

Role of CT imaging in addressing resectability issues in differentiated thyroid cancer: imaging-based Mahajan grading system for TI and ETE

Contrast-enhanced CT radiomics combined with multiple machine learning algorithms for preoperative identification of lymph node metastasis in pancreatic ductal adenocarcinoma

Differentiation of pheochromocytoma and adrenal lipoid adenoma by radiomics: are enhanced CT scanning images necessary?

In vivo characterization of brain tumor biomechanics: magnetic resonance elastography in intracranial B16 melanoma and GL261 glioma mouse models

Comparative assessment of the diagnostic efficacy of [18F]AlF-NOTA-FAPI-04 and [18F]FDG PET/CT imaging for detecting postoperative recurrence in gastric cancer patients: a pilot study

Multiview deep learning networks based on automated breast volume scanner images for identifying breast cancer in BI-RADS 4

Significance of maximum intensity projection technique of multimodal ultrasound imaging in differentiating follicular thyroid carcinoma from benign lesions

Prediction of lymphovascular invasion of gastric cancer based on contrast-enhanced computed tomography radiomics

Super-resolution reconstruction improves multishell diffusion: using radiomics to predict adult-type diffuse glioma IDH and grade

Artificial intelligence techniques in liver cancer

AI-enhanced diagnostic model for pulmonary nodule classification

A model based on C-TIRADS combined with SWE for predicting Bethesda I thyroid nodules

Clinical value of ACR O-RADS combined with CA125 in the risk stratification of adnexal masses

2.5D peritumoural radiomics predicts postoperative recurrence in stage I lung adenocarcinoma

Weakly supervised large-scale pancreatic cancer detection using multi-instance learning

Neighborhood attention transformer multiple instance learning for whole slide image classification

Using multimodal ultrasound including full-time-series contrast-enhanced ultrasound cines for identifying the nature of thyroid nodules

Applications of image-guided locoregional transarterial chemotherapy in patients with inoperable colorectal cancer: a review

Corrigendum: PI-YOLO: dynamic sparse attention and lightweight convolutional based YOLO for vessel detection in pathological images

Development of a prognostic nomogram for esophageal squamous cell carcinoma patients received radiotherapy based on clinical risk factors