Recovery surgery for extracapsular extension of squamous cell cancer metastasizing to the lymph nodes in the neck

Сикорский, Д. В.; Подвязников, С. О.; Железин, О В; Копейкина, М. И.; Чернявский, А. А.; Володин, А. Н.

doi:10.17650/2222-1468-2016-6-2-12-16

Opuholi golovy šei

2016

DOI: 10.17650/2222-1468-2016-6-2-12-16

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Recovery surgery for extracapsular extension of squamous cell cancer metastasizing to the lymph nodes in the neck

Д. В. Сикорский¹,

С. О. Подвязников²,

О В Железин³

et al.

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Cited by 2 publications

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Ultrasound criteria of extra-nodal extension in papillary thyroid cancer metastases and its clinical signifcance

Parshin,

Garbuzov,

Polkin

et al. 2023

Sib. onkol. ž.

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The purpose of the research was to identify ultrasound criteria of extranodal extension (ENE) in metastases of papillary thyroid cancer and to evaluate the clinical significance of ENE.Material and Methods. Ultrasound signs of ENE in 283 cervical lymph node metastases from papillary thyroid cancer were analyzed. Extranodal extension in 137 metastases was diagnosed by ultrasound and verified by histological examination. Micrometastases invisible on ultrasound were detected in 144 patients; metastases located inside the organ were detected in 147 patients; metastases located outside the organ were revealed in 136 patients; the size of 98 metastases was less than 1 cm; the size of 185 metastases was more than 1 cm; the age of 51 patients was under 55 years; 132 patients were older than 55 years. Diagnostic significance of ENE and its clinical significance were estimated according to χ2 Pirson criteria.Results: Two ultrasound criteria: shape change and blurred margins of metastases indicated the presence of ENE. The small number of ultrasound false-negative findings indicated the need for further research. The number of micrometastases not detected by ultrasound was 2-fold higher in patients who had metastases with ENE than in patients who had metastases without ENE. The number of patients with ENE in metastases inside the organ (T1a, T1b, T2 and T3b) was 2.7 times lower compared to patients with metastases developed outside the organ (T3a, T4a, T4b); ENE was observed in metastases of different size and did not depend on age groups.Conclusion. The ultrasound method allows intravital detection of ENE in metastases of papillary thyroid cancer. The extension is accompanied by a significantly high number of micrometastases in the neck tissue. It is detected more often in metastases located outside the organ, regardless of the size and age of the patients. The extra-nodal extension should be considered as a criterion for an unfavorable prognosis.

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Ultrasound criteria of extra-nodal extension in papillary thyroid cancer metastases and its clinical signifcance

Parshin,

Garbuzov,

Polkin

et al. 2023

Sib. onkol. ž.

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Prediction of pancreatic fstula after pancreatoduodenectomy using machine learning

Suvorov,

Panin,

Kovalenko

et al. 2024

Sib. onkol. ž.

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Objective: to analyze the results of pancreatoduodenectomy (PD) and identify predictive risk factors for postoperative pancreatic fistula (PF) using machine learning (ML) technology.Material and Methods. A nonrandomized study of treatment outcomes in 128 patients, who underwent PD for periampullary carcinoma between 2018 and 2023, was conducted. To predict PF, the ML models based on the multilayer perceptron and binary logistic regression (BLR) in SPSS Statistics v.26, were used. The Receiver Operator Characteristics (ROC) analysis was used to assess the accuracy of the models. To compare ROC curves, the DeLong test was used.Results. Clinically significant PF occurred in 19 (14.8 %) patients (grade B according to ISGPS 2016 – in 16 (12.5 %), grade C – in 3 (2.3 %)). The data of 90 (70.3 %) patients were used to train the neural network, and 38 (29.7 %) were used to test the predictive model. In multivariate analysis, the predictors of PF were a comorbidity level above 7 points on the age-adjusted Charlson scale, a diameter of the main pancreatic duct less than 3 mm, and a soft pancreatic consistency. The diagnostic accuracy of the ML model estimated using the area under the ROC curve was 0.939 ± 0.027 (95 % CI: 0.859–0.998, sensitivity: 84.2 %, specificity; 96.3 %). The predictive model, which was developed using BLR, demonstrated lower accuracy: 0.918±0.039 (95 % CI: 0.842–0.994, sensitivity: 78.9 %, specificity: 94.5 %) (p=0.02).Conclusion. The use of machine learning technologies makes it possible to increase the probability of a correct prediction of the occurrence of pancreatic fistula after pancreatoduodenectomy.

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Recovery surgery for extracapsular extension of squamous cell cancer metastasizing to the lymph nodes in the neck

Cited by 2 publications

References 6 publications

Ultrasound criteria of extra-nodal extension in papillary thyroid cancer metastases and its clinical signifcance

Ultrasound criteria of extra-nodal extension in papillary thyroid cancer metastases and its clinical signifcance

Prediction of pancreatic fstula after pancreatoduodenectomy using machine learning

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