Ocena czterech wariantów klasyfikacji TIRADS w grupie pacjentów z wolem guzkowym — badanie wstępne

Purpose The goal this study was to evaluate the utility of four variants of the Thyroid Imaging Reporting and Data System (TIRADS) in the differentiation of focal lesions in individuals with multinodular goiter.   Materials and Methods The study was approved by the Local Bioethical Committee. Each patient gave informed consent before enrolment. A total of 163 nodules in 124 patients with multinodular goiter were evaluated by ultrasound. B-mode and PD imaging and strain elastography were performed. Archived images were evaluated via retrospective analysis using four different proposed TIRADS classifications   Results Sensitivity and specificity of the Horvath, Park, Kwak, and Russ classifications were 0.625 and 0.769, 0.813 and 0.864, 0.938 and 0.667, and 0.875 and 0.293, respectively. Positive and negative predictive values were 0.227 and 0.95, 0.394 and 0.977, 0.234 and 0.99, and 0.119 and 0.956, respectively. Receive operating characteristic analysis suggests that the best differentiation potential was demonstrated by the Kwak classification with an area under the curve (AUC) of 0.896, followed by the Park (AUC = 0.872), Horvath (AUC = 0.774), and Russ (AUC = 0.729) classifications.   Conclusion The TIRADS classification proposed by Kwak can be a useful tool in daily practice for the evaluation of thyroid cancer in individuals with multinodular goiter, particularly for selecting cases that require biopsy, which may improve and simplify clinical decision making. To adopt a definitive, comprehensive variant of the TIRADS classification with potential for universal, practical application, further prospective studies that include improvement of the lexicon and evaluation of the full spectrum of thyroid malignancy are warranted.Wstęp: Celem tej pracy była ocena przydatności 4 wariantów systemu raportowania badań ultrasonograficznych tarczycy (TIRADS) do różnicowania zmian ogniskowych u pacjentów z wolem guzkowym. Materiał i metody: Badanie było zatwierdzone przez właściwą komisję bioetyczną. Każdy pacjent wyraził świadomą zgodę przed przy­stąpieniem do badania. W badaniu ultrasononograficznym analizowano 163 zmiany ogniskowe u 124 pacjentów z wolem guzowatym. Wykonano obrazowanie w skali szarości, z dopplerem mocy oraz elastografię odkształceń względnych. Zarchiwizowane obrazy zostały poddane analizie retrospektywnej z zastosowaniem 4 wariantów klasyfikacji TIRADS. Wyniki: Czułość i swoistość klasyfikacji Horvath, Park, Kwak i Russ wyniosły odpowiednio 0,625 i 0,769, 0,813 i 0,864, 0,938 i 0,667 oraz 0,875 i 0,293. Dodatnie i ujemne wartości predykcyjne wynosiły odpowiednio 0,227 i 0,95, 0,394 i 0,977, 0,234 i 0,99 oraz 0,119 i 0,956. Analiza ROC sugeruje, że najlepszy potencjał w różnicowaniu prezentuje wariant Kwak z polem pod krzywą (AUC) of 0,896, następnie Park (AUC = 0,872), Horvath (AUC = 0,774) i Russ (AUC = 0,729). Wnioski: Klasyfikacja TIRADS proponowana przez Kwaka może być przydatnym narzędziem w codziennej praktyce oceny pod kątem raka tarczycy u pacjentów z wolem guzkowym, szczególnie do wyselekcjonowania przypadków wymagających biopsji, co może polepszyć i uprościć podjęcie decyzji klinicznej. Wskazane są dalsze badania prospektywne, obejmujące ulepszenie leksykonu i ocenę pełnego spektrum guzów złośliwych tarczycy, aby ostatecznie przyjąć optymalny wariant klasyfikacji TIRADS, co zapewne umożliwi jej uniwersalne praktyczne zastosowanie

Shear Wave Elastography May Add a New Dimension to Ultrasound Evaluation of Thyroid Nodules: Case Series with Comparative Evaluation

Although elastography can enhance the differential diagnosis of thyroid nodules, its diagnostic performance is not ideal at present. Further improvements in the technique and creation of robust diagnostic criteria are necessary. The purpose of this study was to compare the usefulness of strain elastography and a new generation of elasticity imaging called supersonic shear wave elastography (SSWE) in differential evaluation of thyroid nodules. Six thyroid nodules in 4 patients were studied. SSWE yielded 1 true-positive and 5 true-negative results. Strain elastography yielded 5 false-positive results and 1 false-negative result. A novel finding appreciated with SSWE, were punctate foci of increased stiffness corresponding to microcalcifications in 4 nodules, some not visible on B-mode ultrasound, as opposed to soft, colloid-inspissated areas visible on B-mode ultrasound in 2 nodules. This preliminary paper indicates that SSWE may outperform strain elastography in differentiation of thyroid nodules with regard to their stiffness. SSWE showed the possibility of differentiation of high echogenic foci into microcalcifications and inspissated colloid, adding a new dimension to thyroid elastography. Further multicenter large-scale studies of thyroid nodules evaluating different elastographic methods are warranted

S-Detect Software vs. EU-TIRADS Classification: A Dual-Center Validation of Diagnostic Performance in Differentiation of Thyroid Nodules

Computer-aided diagnosis (CAD) and other risk stratification systems may improve ultrasound image interpretation. This prospective study aimed to compare the diagnostic performance of CAD and the European Thyroid Imaging Reporting and Data System (EU-TIRADS) classification applied by physicians with S-Detect 2 software CAD based on Korean Thyroid Imaging Reporting and Data System (K-TIRADS) and combinations of both methods (MODELs 1 to 5). In all, 133 nodules from 88 patients referred to thyroidectomy with available histopathology or with unambiguous results of cytology were included. The S-Detect system, EU-TIRADS, and mixed MODELs 1–5 for the diagnosis of thyroid cancer showed a sensitivity of 89.4%, 90.9%, 84.9%, 95.5%, 93.9%, 78.9% and 93.9%; a specificity of 80.6%, 61.2%, 88.1%, 53.7%, 73.1%, 89.6% and 80.6%; a positive predictive value of 81.9%, 69.8%, 87.5%, 67%, 77.5%, 88.1% and 82.7%; a negative predictive value of 88.5%, 87.2%, 85.5%, 92.3%, 92.5%, 81.1% and 93.1%; and an accuracy of 85%, 75.9%, 86.5%, 74.4%, 83.5%, 84.2%, and 87.2%, respectively. Comparison showed superiority of the similar MODELs 1 and 5 over other mixed models as well as EU-TIRADS and S-Detect used alone (p-value < 0.05). S-Detect software is characterized with high sensitivity and good specificity, whereas EU-TIRADS has high sensitivity, but rather low specificity. The best diagnostic performance in malignant thyroid nodule (TN) risk stratification was obtained for the combined model of S-Detect (“possibly malignant” nodule) and simultaneously obtaining 4 or 5 points (MODEL 1) or exactly 5 points (MODEL 5) on the EU-TIRADS scale