Studies
Primary studies
26,293 studies included by 1,022 non-Cochrane dental reviews extracted from full text, one record per study, so a study included by several reviews is counted once. Most are randomized trials; etiology and diagnostic reviews also include observational and accuracy studies. Cochrane reviews and reviews with only their headline outcomes do not list their included studies here yet.
ReviewStudies included by Application of artificial intelligence and radiomics in the prediction of lymph node metastasis and tumour grading of oral cancer - a…. Show all studies
| Study | Year | Reviews | Review outcomes linked | Trial data |
|---|---|---|---|---|
| Magnetic Resonance Imaging-Based Radiomics Features Associated with Depth of Invasion Predicted Lymph Node Metastasis and Prognosis in Tongue Cancer. Wang 2022 · Wang Fei, Tan Rukeng, et al. · Journal of magnetic resonance imaging : JMRI PMID:34888985 | 2022 | 3 | none stated | not extracted yet |
| Machine learning-based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma. Yuan 2021 · Yuan Ying, Ren Jiliang, et al. · European radiology PMID:33569617 | 2021 | 3 | 1 | not extracted yet |
| The application of radiomics machine learning models based on multimodal MRI with different sequence combinations in predicting cervical lymph node… Liu 2024 · Liu Sheng, Zhang Aihua, et al. · Head & neck PMID:38108536 | 2024 | 2 | 1 | not extracted yet |
| Radiomics analysis of [18F]-fluoro-2-deoxyglucose positron emission tomography for the prediction of cervical lymph node metastasis in tongue… Kudoh 2023 · Kudoh Takaharu, Haga Akihiro, et al. · Oral radiology PMID:35254609 | 2023 | 2 | none stated | not extracted yet |
| Magnetic resonance imaging-based prediction models for tumor stage and cervical lymph node metastasis of tongue squamous cell carcinoma. Vidiri 2023 · Vidiri Antonello, Marzi Simona, et al. · Computational and structural biotechnology journal PMID:37701020 | 2023 | 2 | none stated | not extracted yet |
| Tumor radiomics signature for artificial neural network-assisted detection of neck metastasis in patient with tongue cancer. Zhong 2022 · Zhong Yi-Wei, Jiang Yin, et al. · Journal of neuroradiology = Journal de neuroradiologie PMID:34358534 | 2022 | 2 | none stated | not extracted yet |
| Histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for predicting occult lymph node metastasis in early-stage oral… Ren 2022 · Ren Jiliang, Yuan Ying, et al. · European radiology PMID:34642806 | 2022 | 2 | none stated | not extracted yet |
| Radiomics Metrics Combined with Clinical Data in the Surgical Management of Early-Stage (cT1-T2 N0) Tongue Squamous Cell Carcinomas: A Preliminary… Committeri 2022 · Committeri Umberto, Fusco Roberta, et al. · Biology PMID:35336841 | 2022 | 2 | none stated | not extracted yet |
| Development of a radiomics and machine learning model for predicting occult cervical lymph node metastasis in patients with tongue cancer. Kubo 2022 · Kubo Katsumaro, Kawahara Daisuke, et al. · Oral surgery, oral medicine, oral pathology and oral radiology PMID:35431177 | 2022 | 2 | none stated | not extracted yet |
| Traverso 2020 matched by author and year (probable) | NR | 2 | none stated | not extracted yet |
| Prediction of Histological Grade of Oral Squamous Cell Carcinoma Using Machine Learning Models Applied to 18F-FDG-PET Radiomics Nikkuni 2024 · Nikkuni Yutaka, Nishiyama Hideyoshi, et al. · Biomedicines DOI:10.3390/biomedicines12071411 | 2024 | 1 | 1 | not extracted yet |
| Prediction of Histological Grade of Oral Squamous Cell Carcinoma Using Machine Learning Models Applied to 18F-FDG-PET Radiomics. Nikkuni 2024 · Nikkuni Yutaka, Nishiyama Hideyoshi, et al. · Biomedicines PMID:39061984 | 2024 | 1 | none stated | not extracted yet |
| [Clinical study of cervical lymph node metastasis in oral tongue squamous carcinoma by a machine learning model based on contrast-enhanced CT… Sun 2024 · Sun Heng-Xiang, Zhu Qing-Hai, et al. · Shanghai kou qiang yi xue = Shanghai journal of stomatology PMID:40007291 | 2024 | 1 | none stated | not extracted yet |
| Radiomics analysis of intraoral ultrasound images for prediction of late cervical lymph node metastasis in patients with tongue cancer Konishi 2023 · Konishi Masaru, Kakimoto Naoya · Head & Neck DOI:10.1002/hed.27487 | 2023 | 1 | none stated | not extracted yet |
| The application of radiomics machine learning models based on multimodal <scp>MRI</scp> with different sequence combinations in predicting cervical… Liu 2024 · Liu Sheng, Zhang Aihua, et al. · Head & Neck DOI:10.1002/hed.27605 | 2023 | 1 | none stated | not extracted yet |
| A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph… Chen 2023 · Chen Zhen, Yu Yao, et al. · Clinical Oral Investigations DOI:10.1007/s00784-023-05423-2 | 2023 | 1 | none stated | not extracted yet |
| Magnetic resonance imaging-based prediction models for tumor stage and cervical lymph node metastasis of tongue squamous cell carcinoma Vidiri 2023 · Vidiri Antonello, Marzi Simona, et al. · Computational and Structural Biotechnology Journal DOI:10.1016/j.csbj.2023.08.020 | 2023 | 1 | none stated | not extracted yet |
| Deep learning assisted contrast-enhanced CT-based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases. Xu 2023 · Xu Xiaoshuai, Xi Linlin, et al. · European radiology PMID:36576543 | 2023 | 1 | none stated | not extracted yet |
| Radiomics analysis of intraoral ultrasound images for prediction of late cervical lymph node metastasis in patients with tongue cancer. Konishi 2023 · Konishi Masaru, Kakimoto Naoya · Head & neck PMID:37584449 | 2023 | 1 | none stated | not extracted yet |
| A deep learning and radiomics fusion model based on contrast-enhanced computer tomography improves preoperative identification of cervical lymph… Chen 2023 · Chen Zhen, Yu Yao, et al. · Clinical oral investigations PMID:38151672 | 2023 | 1 | none stated | not extracted yet |
| Deep learning assisted contrast-enhanced CT–based diagnosis of cervical lymph node metastasis of oral cancer: a retrospective study of 1466 cases Xu 2023 · Xu Xiaoshuai, Xi Linlin, et al. · European Radiology DOI:10.1007/s00330-022-09355-5 | 2022 | 1 | none stated | not extracted yet |
| Radiomics analysis of [18F]-fluoro-2-deoxyglucose positron emission tomography for the prediction of cervical lymph node metastasis in tongue… Kudoh 2023 · Kudoh Takaharu, Haga Akihiro, et al. · Oral Radiology DOI:10.1007/s11282-022-00600-7 | 2022 | 1 | none stated | not extracted yet |
| Tumor radiomics signature for artificial neural network-assisted detection of neck metastasis in patient with tongue cancer Zhong 2022 · Zhong Yi-Wei, Jiang Yin, et al. · Journal of Neuroradiology DOI:10.1016/j.neurad.2021.07.006 | 2022 | 1 | none stated | not extracted yet |
| Development of a radiomics and machine learning model for predicting occult cervical lymph node metastasis in patients with tongue cancer Kubo 2022 · Kubo Katsumaro, Kawahara Daisuke, et al. · Oral Surgery, Oral Medicine, Oral Pathology and Oral Radiology DOI:10.1016/j.oooo.2021.12.122 | 2022 | 1 | none stated | not extracted yet |
| Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology Ariji 2022 · Ariji Yoshiko, Kise Yoshitaka, et al. · Dentomaxillofacial Radiology DOI:10.1259/dmfr.20210515 | 2022 | 1 | none stated | not extracted yet |
| Radiomics Metrics Combined with Clinical Data in the Surgical Management of Early-Stage (cT1–T2 N0) Tongue Squamous Cell Carcinomas: A Preliminary… Committeri 2022 · Committeri Umberto, Fusco Roberta, et al. · Biology DOI:10.3390/biology11030468 | 2022 | 1 | 1 | not extracted yet |
| Benchmarking Eliminative Radiomic Feature Selection for Head and Neck Lymph Node Classification Bardosi 2022 · Bardosi Zoltan R., Dejaco Daniel, et al. · Cancers DOI:10.3390/cancers14030477 | 2022 | 1 | none stated | not extracted yet |
| Segmentation of metastatic cervical lymph nodes from CT images of oral cancers using deep-learning technology. Ariji 2022 · Ariji Yoshiko, Kise Yoshitaka, et al. · Dento maxillo facial radiology PMID:35113725 | 2022 | 1 | none stated | not extracted yet |
| Benchmarking Eliminative Radiomic Feature Selection for Head and Neck Lymph Node Classification. Bardosi 2022 · Bardosi Zoltan R, Dejaco Daniel, et al. · Cancers PMID:35158745 | 2022 | 1 | none stated | not extracted yet |
| Magnetic Resonance Imaging‐Based Radiomics Features Associated with Depth of Invasion Predicted Lymph Node Metastasis and Prognosis in Tongue Cancer Wang 2022 · Wang Fei, Tan Rukeng, et al. · Journal of Magnetic Resonance Imaging DOI:10.1002/jmri.28019 | 2021 | 1 | none stated | not extracted yet |
| Machine learning–based MRI texture analysis to predict occult lymph node metastasis in early-stage oral tongue squamous cell carcinoma Yuan 2021 · Yuan Ying, Ren Jiliang, et al. · European Radiology DOI:10.1007/s00330-021-07731-1 | 2021 | 1 | none stated | not extracted yet |
| Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using… Tomita 2021a · Tomita Hayato, Yamashiro Tsuneo, et al. · European Radiology DOI:10.1007/s00330-021-07758-4 | 2021 | 1 | none stated | not extracted yet |
| Histogram analysis of diffusion-weighted imaging and dynamic contrast-enhanced MRI for predicting occult lymph node metastasis in early-stage oral… Ren 2022 · Ren Jiliang, Yuan Ying, et al. · European Radiology DOI:10.1007/s00330-021-08310-0 | 2021 | 1 | none stated | not extracted yet |
| Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma:… Onoue 2021 · Onoue Keita, Fujima Noriyuki, et al. · American Journal of Otolaryngology DOI:10.1016/j.amjoto.2021.103026 | 2021 | 1 | none stated | not extracted yet |
| Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer Chen 2021 · Chen Liyuan, Dohopolski Michael, et al. · International Journal of Radiation Oncology*Biology*Physics DOI:10.1016/j.ijrobp.2021.02.004 | 2021 | 1 | none stated | not extracted yet |
| Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral… Tomita 2021b · Tomita Hayato, Yamashiro Tsuneo, et al. · Cancers DOI:10.3390/cancers13040600 | 2021 | 1 | none stated | not extracted yet |
| Deep Learning for the Preoperative Diagnosis of Metastatic Cervical Lymph Nodes on Contrast-Enhanced Computed ToMography in Patients with Oral… Tomita 2021b · Tomita Hayato, Yamashiro Tsuneo, et al. · Cancers PMID:33546279 | 2021 | 1 | none stated | not extracted yet |
| Attention Guided Lymph Node Malignancy Prediction in Head and Neck Cancer. Chen 2021 · Chen Liyuan, Dohopolski Michael, et al. · International journal of radiation oncology, biology, physics PMID:33561508 | 2021 | 1 | none stated | not extracted yet |
| Nodal-based radiomics analysis for identifying cervical lymph node metastasis at levels I and II in patients with oral squamous cell carcinoma using… Tomita 2021a · Tomita Hayato, Yamashiro Tsuneo, et al. · European radiology PMID:33787970 | 2021 | 1 | none stated | not extracted yet |
| Cystic cervical lymph nodes of papillary thyroid carcinoma, tuberculosis and human papillomavirus positive oropharyngeal squamous cell carcinoma:… Onoue 2021 · Onoue Keita, Fujima Noriyuki, et al. · American journal of otolaryngology PMID:33862564 | 2021 | 1 | none stated | not extracted yet |
| Development and validation of a multivariable prediction model for the identification of occult lymph node metastasis in oral squamous cell carcinoma Mermod 2020 · Mermod Maxime, Jourdan Eva‐Francesca, et al. · Head & Neck DOI:10.1002/hed.26105 | 2020 | 1 | none stated | not extracted yet |
| Machine Learning Predicts Lymph Node Metastasis in Early-Stage Oral Tongue Squamous Cell Carcinoma Shan 2020 · Shan Jie, Jiang Rui, et al. · Journal of Oral and Maxillofacial Surgery DOI:10.1016/j.joms.2020.06.015 | 2020 | 1 | none stated | not extracted yet |
| Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and… Dohopolski 2020 · Dohopolski Michael, Chen Liyuan, et al. · Physics in Medicine & Biology DOI:10.1088/1361-6560/abb71c | 2020 | 1 | none stated | not extracted yet |
| Machine Learning–Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma Ren 2020 · Ren Jiliang, Qi Meng, et al. · American Journal of Roentgenology DOI:10.2214/ajr.19.22593 | 2020 | 1 | 1 | not extracted yet |
| CT evaluation of extranodal extension of cervical lymph node metastases in patients with oral squamous cell carcinoma using deep learning… Ariji 2020a · Ariji Yoshiko, Sugita Yoshihiko, et al. · Oral radiology PMID:31197738 | 2020 | 1 | none stated | not extracted yet |
| Prediction of Tumor Grade and Nodal Status in Oropharyngeal and Oral Cavity Squamous-cell Carcinoma Using a Radiomic Approach. Romeo 2020 · Romeo Valeria, Cuocolo Renato, et al. · Anticancer research PMID:31892576 | 2020 | 1 | none stated | not extracted yet |
| Development and validation of a multivariable prediction model for the identification of occult lymph node metastasis in oral squamous cell carcinoma. Mermod 2020 · Mermod Maxime, Jourdan Eva-Francesca, et al. · Head & neck PMID:32057148 | 2020 | 1 | none stated | not extracted yet |
| Machine Learning Predicts Lymph Node Metastasis in Early-Stage Oral Tongue Squamous Cell Carcinoma. Shan 2020 · Shan Jie, Jiang Rui, et al. · Journal of oral and maxillofacial surgery : official journal of the American Association of Oral and Maxillofacial Surgeons PMID:32649894 | 2020 | 1 | none stated | not extracted yet |
| Machine Learning-Based MRI Texture Analysis to Predict the Histologic Grade of Oral Squamous Cell Carcinoma. Ren 2020 · Ren Jiliang, Qi Meng, et al. · AJR. American journal of roentgenology PMID:32930606 | 2020 | 1 | none stated | not extracted yet |
| Predicting lymph node metastasis in patients with oropharyngeal cancer by using a convolutional neural network with associated epistemic and… Dohopolski 2020 · Dohopolski Michael, Chen Liyuan, et al. · Physics in medicine and biology PMID:33179605 | 2020 | 1 | none stated | not extracted yet |