Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck

Purpose of the study. To assess ultrasound features and patterns of features for metastatic papillary thyroid cancer (PTC) in soft tissues of the neck.Materials and methods. The study included 335 histologically confirmed metastases and 102 benign lymph nodes (LN). Statistical processing was carried...

Full description

Saved in:
Bibliographic Details
Main Authors: V. S. Parshin, A. A. Veselova, P. D. Bespalov, V. V. Polkin, P. I. Garbuzov
Format: Article
Language:Russian
Published: QUASAR, LLC 2022-09-01
Series:Исследования и практика в медицине
Subjects:
Online Access:https://www.rpmj.ru/rpmj/article/view/823
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849688501644165120
author V. S. Parshin
A. A. Veselova
P. D. Bespalov
V. V. Polkin
P. I. Garbuzov
author_facet V. S. Parshin
A. A. Veselova
P. D. Bespalov
V. V. Polkin
P. I. Garbuzov
author_sort V. S. Parshin
collection DOAJ
description Purpose of the study. To assess ultrasound features and patterns of features for metastatic papillary thyroid cancer (PTC) in soft tissues of the neck.Materials and methods. The study included 335 histologically confirmed metastases and 102 benign lymph nodes (LN). Statistical processing was carried out in the SPSS program. The reliability between the groups was assessed by criterion t with a significance level of p < 0.05. The informative value of ultrasound signs and patterns of signs, and the probability of the presence of metastasis using binary logistic regression are calculated.Results. The 14 criteria for metastasis have been studied. There are 33 signs, i.e. types of criteria. During the statistical analysis, six most informative criteria were established: calcifications, contours, shape, depth-to-width ratio in the transverse scanning plane, state (differentiation) of the cortical and cerebral layers, echostructure. To create complexes (patterns) of ultrasonic signs, a combination of these signs was used among themselves, and five patterns were established. The first pattern, including the depth-to-width ratio in the transverse scanning plane and the echo structure, has a sensitivity (Se) of 97 %, diagnostic accuracy (Ac) of 96.5 %, area under the curve (AUC) of 96 %, the probability ranges from 95 to 99 %. The Se of the second pattern, including the ratio of depth to width in the transverse scanning plane, echostructure and shape, was 97.2 %, Ac – 96.8 %, AUC – 97.3 %, probability – 95–100 %. The third pattern, including the ratio of depth to width in the transverse scanning plane, nature, shape and contours, and the fourth pattern, including the following criteria, the ratio of depth to width in the transverse scanning plane, echostructure, shape, contours and differentiation into cortical and cerebral layers, have Se 96.9 %, Ac – 97.1 %, AUC – 98.7 %, probability – 88–100 %. The fifth pattern, including the ratio of depth to width in the transverse scanning plane, echostructure, shape; contours; state (differentiation) of the cortical and cerebral layers; calcinates, has Se – 99.6 %, Ac – 99.5 %, AUC – 99.9 %, probability – 94–100 %.Conclusion. Five patterns of metastatic involvement of lymph nodes in PTC were found. The informative value of US increased from the first to the fifth pattern achieving a Se of 99.6 %, Ac of 99.5 %, AUC of 99.9 %. The probability ranged from 94 % to 100 %.
format Article
id doaj-art-1688215a1fd044bcb0416ef7fe44cd28
institution DOAJ
issn 2410-1893
language Russian
publishDate 2022-09-01
publisher QUASAR, LLC
record_format Article
series Исследования и практика в медицине
spelling doaj-art-1688215a1fd044bcb0416ef7fe44cd282025-08-20T03:21:59ZrusQUASAR, LLCИсследования и практика в медицине2410-18932022-09-01939110510.17709/2410-1893-2022-9-3-7459Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neckV. S. Parshin0A. A. Veselova1P. D. Bespalov2V. V. Polkin3P. I. Garbuzov4A. F. Tsyb Medical Radiological Research Center – Branch of the National Medical Research Radiological CenterA. F. Tsyb Medical Radiological Research Center – Branch of the National Medical Research Radiological CenterA. F. Tsyb Medical Radiological Research Center – Branch of the National Medical Research Radiological CenterA. F. Tsyb Medical Radiological Research Center – Branch of the National Medical Research Radiological CenterA. F. Tsyb Medical Radiological Research Center – Branch of the National Medical Research Radiological CenterPurpose of the study. To assess ultrasound features and patterns of features for metastatic papillary thyroid cancer (PTC) in soft tissues of the neck.Materials and methods. The study included 335 histologically confirmed metastases and 102 benign lymph nodes (LN). Statistical processing was carried out in the SPSS program. The reliability between the groups was assessed by criterion t with a significance level of p < 0.05. The informative value of ultrasound signs and patterns of signs, and the probability of the presence of metastasis using binary logistic regression are calculated.Results. The 14 criteria for metastasis have been studied. There are 33 signs, i.e. types of criteria. During the statistical analysis, six most informative criteria were established: calcifications, contours, shape, depth-to-width ratio in the transverse scanning plane, state (differentiation) of the cortical and cerebral layers, echostructure. To create complexes (patterns) of ultrasonic signs, a combination of these signs was used among themselves, and five patterns were established. The first pattern, including the depth-to-width ratio in the transverse scanning plane and the echo structure, has a sensitivity (Se) of 97 %, diagnostic accuracy (Ac) of 96.5 %, area under the curve (AUC) of 96 %, the probability ranges from 95 to 99 %. The Se of the second pattern, including the ratio of depth to width in the transverse scanning plane, echostructure and shape, was 97.2 %, Ac – 96.8 %, AUC – 97.3 %, probability – 95–100 %. The third pattern, including the ratio of depth to width in the transverse scanning plane, nature, shape and contours, and the fourth pattern, including the following criteria, the ratio of depth to width in the transverse scanning plane, echostructure, shape, contours and differentiation into cortical and cerebral layers, have Se 96.9 %, Ac – 97.1 %, AUC – 98.7 %, probability – 88–100 %. The fifth pattern, including the ratio of depth to width in the transverse scanning plane, echostructure, shape; contours; state (differentiation) of the cortical and cerebral layers; calcinates, has Se – 99.6 %, Ac – 99.5 %, AUC – 99.9 %, probability – 94–100 %.Conclusion. Five patterns of metastatic involvement of lymph nodes in PTC were found. The informative value of US increased from the first to the fifth pattern achieving a Se of 99.6 %, Ac of 99.5 %, AUC of 99.9 %. The probability ranged from 94 % to 100 %.https://www.rpmj.ru/rpmj/article/view/823metastasislymph nodepapillary thyroid cancerultrasound examinationpattern
spellingShingle V. S. Parshin
A. A. Veselova
P. D. Bespalov
V. V. Polkin
P. I. Garbuzov
Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck
Исследования и практика в медицине
metastasis
lymph node
papillary thyroid cancer
ultrasound examination
pattern
title Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck
title_full Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck
title_fullStr Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck
title_full_unstemmed Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck
title_short Ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck
title_sort ultrasound patterns of metastases from papillary thyroid cancer in soft tissues of the neck
topic metastasis
lymph node
papillary thyroid cancer
ultrasound examination
pattern
url https://www.rpmj.ru/rpmj/article/view/823
work_keys_str_mv AT vsparshin ultrasoundpatternsofmetastasesfrompapillarythyroidcancerinsofttissuesoftheneck
AT aaveselova ultrasoundpatternsofmetastasesfrompapillarythyroidcancerinsofttissuesoftheneck
AT pdbespalov ultrasoundpatternsofmetastasesfrompapillarythyroidcancerinsofttissuesoftheneck
AT vvpolkin ultrasoundpatternsofmetastasesfrompapillarythyroidcancerinsofttissuesoftheneck
AT pigarbuzov ultrasoundpatternsofmetastasesfrompapillarythyroidcancerinsofttissuesoftheneck