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Automatic Detection of Cervical Lymph Nodes in Patients with Oral Squamous Cell Carcinoma Using a Deep Learning Technique: a Preliminary Study

Overview
Journal Oral Radiol
Specialty Radiology
Date 2020 Jun 8
PMID 32506212
Citations 18
Authors
Yoshiko Ariji
Motoki Fukuda
Michihito Nozawa
Chiaki Kuwada
Mitsuo Goto
Kenichiro Ishibashi
Atsushi Nakayama
Yoshihiko Sugita
Toru Nagao
Eiichiro Ariji
Affiliations
Soon will be listed here.
Abstract

Objective: To apply a deep learning object detection technique to CT images for detecting cervical lymph nodes metastasis in patients with oral cancers, and to clarify the detection performance.

Methods: One hundred and fifty-nine metastatic and 517 non-metastatic lymph nodes on 365 CT images in 56 patients with oral squamous cell carcinoma were examined. The images were arbitrarily assigned to training, validation, and testing datasets. Using the neural network, 'DetectNet' for object detection, the training procedure was conducted for 1000 epochs. Testing image datasets were applied to the learning model, and the detection performance was calculated.

Results: The learning curve indicated that the recall (sensitivity) for detecting metastatic and non-metastatic lymph nodes reached 90% and 80%, respectively, while the model performance recall by applying the test dataset was 73.0% and 52.5%, respectively. The recall for detecting level IB and Level II metastatic lymph nodes was relatively high.

Conclusions: A system that has the potential to automatically detect cervical lymph nodes was constructed.

Citing Articles

Automatic cervical lymph nodes detection and segmentation in heterogeneous computed tomography images using deep transfer learning.

Liao W, Luo X, Li L, Xu J, He Y, Huang H Sci Rep. 2025; 15(1):4250.

PMID: 39905029 PMC: 11794882. DOI: 10.1038/s41598-024-84804-3.

Deep learning-based object detection algorithms in medical imaging: Systematic review.

Albuquerque C, Henriques R, Castelli M Heliyon. 2025; 11(1):e41137.

PMID: 39758372 PMC: 11699422. DOI: 10.1016/j.heliyon.2024.e41137.

Mapping the Use of Artificial Intelligence-Based Image Analysis for Clinical Decision-Making in Dentistry: A Scoping Review.

Chen W, Dhawan M, Liu J, Ing D, Mehta K, Tran D Clin Exp Dent Res. 2024; 10(6):e70035.

PMID: 39600121 PMC: 11599430. DOI: 10.1002/cre2.70035.

Deep learning in oral cancer- a systematic review.

Warin K, Suebnukarn S BMC Oral Health. 2024; 24(1):212.

PMID: 38341571 PMC: 10859022. DOI: 10.1186/s12903-024-03993-5.

Metastatic Lymph Node Detection on Ultrasound Images Using YOLOv7 in Patients with Head and Neck Squamous Cell Carcinoma.

Eida S, Fukuda M, Katayama I, Takagi Y, Sasaki M, Mori H Cancers (Basel). 2024; 16(2).

PMID: 38254765 PMC: 10813890. DOI: 10.3390/cancers16020274.

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