Upgraded bidirectional approach video-assisted neck surgery (BAVANS) using a rigid endoscope with variable viewing direction for advanced endoscopic lymph node dissection in thyroid cancer patients

Nakajo, Akihiro; Minami, Koji; Shinden, Yoshiaki; Toda, Hiroko; Hirashima, Tomonori; Nagata, Ayako; Nomoto, Yukio; Maemura, Kosei; Natsugoe, Shoji

doi:10.1007/s00595-019-01909-3

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…According to thyroid cancer diagnosis and treatment guidelines, surgical treatment is very important for the initial treatment of PTC (3). Although PTC progresses slowly, its ability to metastasize, such as to lymph nodes or even distant organs, is consistent with other malignancies (4). Generally, tumor diameter alone is not enough to determine the severity of disease (5,6).…”

Section: Introductionmentioning

confidence: 99%

Optimal surgical population for cervical lymph node dissection in PTC

Wang,

Wu,

Yan

et al. 2024

Front. Oncol.

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ObjectiveThere is still controversy about whether cervical lymph node dissection should be performed in surgical treatment of PTC. Based on the data of thyroid cancer patients from Liaocheng People’s Hospital from 2015 to 2018, this study focused on appropriate indications for cervical lymph node dissection surgery.MethodsThe clinical and pathological data of patients with initial treatment of PTC in thyroid surgery department from 2015 to 2018 were collected. In all cases, 1001 patients underwent total thyroidectomy + central lymph node dissection, and 1107 patients underwent total thyroidectomy + central + cervical lymph node dissection.ResultsThe average metastasis rate of all cases was 57.23%, and even the metastasis rate of PTMC was as high as 48.97%. The total metastasis rate of central and lateral cervical lymph nodes was 74.44%, and the cervical lymph nodes were present in 49.32% of the metastatic cases. In 55.56% of the cases, the tumor diameter was more than 1 cm, and the metastasis rate of cervical lateral area was 56%. With the increase of tumor diameter, the cervical metastasis rate increased from 22.54% to 73.33%.ConclusionThe metastasis rate of PTC is more than 50%, and nearly half of them have cervical metastasis, especially in patients with high risk factors. We observed that PTC 1 cm or greater has significant rates of metastasis.

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Section: Introductionmentioning

confidence: 99%

Optimal surgical population for cervical lymph node dissection in PTC

Wang,

Wu,

Yan

et al. 2024

Front. Oncol.

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“…[ 12–15 ] Although many studies have shown that the features of PTC lesion in US images were highly correlated with CLNM, there is still no accurate or efficient method that can predict the risk of different CLNM patterns prior to operation. [ 16–19 ] As is known, CLNM is a fundamental indicator of the recurrence and prognosis of PTC patients and the important basis of lymph node dissection (LND). [ 16,17 ] And exploring a noninvasive assessment method for different CLNM patterns is of great value for the treatment and disease management of PTC.…”

Section: Introductionmentioning

confidence: 99%

“…[ 16–19 ] As is known, CLNM is a fundamental indicator of the recurrence and prognosis of PTC patients and the important basis of lymph node dissection (LND). [ 16,17 ] And exploring a noninvasive assessment method for different CLNM patterns is of great value for the treatment and disease management of PTC.…”

Section: Introductionmentioning

confidence: 99%

DeepThy‐Net: A Multimodal Deep Learning Method for Predicting Cervical Lymph Node Metastasis in Papillary Thyroid Cancer

Yao

Lei

Yue

et al. 2022

Advanced Intelligent Systems

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Papillary thyroid cancer (PTC) accounts for more than 80% of thyroid cancers, and ultrasound (US) imaging is the preferred method for the diagnosis of PTC. However, accurate prediction of different patterns of cervical lymph node metastasis (CLNM) in PTC continues to be a challenge. Herein, US images and clinical factors of PTC patients from three hospitals for more than 11 years are collected, and a multimodal deep learning model called DeepThy‐Net is then developed to predict different CLNM patterns. The proposed model not only uses the convolutional features extracted by deep learning but also integrates traditional clinical factors that are highly related to lymph node metastasis. Finally, the model is tested in two independent test sets, and the experimental results show that the area under curve (AUC) is between 0.870 and 0.905, indicating clinical applicability. The proposed method provides an important reference for the treatment and management of PTC. Moreover, for PTC cases involving an active surveillance strategy, the proposed method can serve as an important CLNM early warning tool.

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