دورية أكاديمية
The TNAPP web-based algorithm improves thyroid nodule management in clinical practice: A retrospective validation study
| العنوان: | The TNAPP web-based algorithm improves thyroid nodule management in clinical practice: A retrospective validation study |
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| المؤلفون: | Triggiani, Vincenzo, Lisco, Giuseppe, Renzulli, Giuseppina, Frasoldati, Andrea, Guglielmi, Rinaldo, Garber, Jeffrey, Papini, Enrico |
| المساهمون: | Triggiani, Vincenzo, Lisco, Giuseppe, Renzulli, Giuseppina, Frasoldati, Andrea, Guglielmi, Rinaldo, Garber, Jeffrey, Papini, Enrico |
| سنة النشر: | 2022 |
| المجموعة: | Università degli Studi di Bari Aldo Moro: CINECA IRIS |
| مصطلحات موضوعية: | TNAPP, fine-needle aspiration (FNA), retrospective study, thyroid carcinoma, thyroid nodule, web-based algorithm |
| الوصف: | BackgroundThe detection of thyroid nodules has been increasing over time, resulting in an extensive use of fine-needle aspiration (FNA) and cytology. Tailored methods are required to improve the management of thyroid nodules, including algorithms and web-based tools. Study aimsTo assess the performance of the Thyroid Nodule App (TNAPP), a web-based, readily modifiable, interactive algorithmic tool, in improving the management of thyroid nodules. MethodsOne hundred twelve consecutive patients with 188 thyroid nodules who underwent FNA from January to December 2016 and thyroid surgery were retrospectively evaluated. Neck ultrasound images were collected from a thyroid nodule registry and re-examined to extract data to run TNAPP. Each nodule was evaluated for ultrasonographic risk and suitability for FNA. The sensitivity, specificity, positive and negative predictive values, and overall accuracy of TNAPP were calculated and compared to the diagnostic performance of the other two algorithms by the American Association of Clinical Endocrinology/American College of Endocrinology/Associazione Medici Endocrinologi (AACE/ACE/AME), which it was derived from the American College of Radiology Thyroid Imaging Reporting and Data System (ACR TI-RADS). ResultsTNAPP performed better in terms of sensitivity (>80%) and negative predictive value (68%) with an overall accuracy of 50.5%, which was similar to that found with the AACE/ACE/AME algorithm. TNAPP displayed a slightly better performance than AACE/ACE/AME and ACR TI-RADS algorithms in selectively discriminating unnecessary FNA for nodules with benign cytology (TIR 2 - Bethesda class II: TNAPP 32% vs. AACE/ACE/AME 31% vs. ACR TI-RADS 29%). The TNAPP reduced the number of missed diagnoses of thyroid nodules with suspicious and highly suspicious cytology (TIR 4 + TIR 5 - Bethesda classes V + VI: TNAPP 18% vs. AACE/ACE/AME 26% vs. ACR TI-RADS 20.5%). A total of 14 nodules that would not have been aspirated were malignant, 13 of which were microcarcinomas (92.8%). ... |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| العلاقة: | info:eu-repo/semantics/altIdentifier/pmid/36778596; info:eu-repo/semantics/altIdentifier/wos/WOS:000933015500001; volume:13; firstpage:1080159; journal:FRONTIERS IN ENDOCRINOLOGY; https://hdl.handle.net/11586/430525Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85147775866 |
| DOI: | 10.3389/fendo.2022.1080159 |
| الإتاحة: | https://doi.org/10.3389/fendo.2022.1080159Test https://hdl.handle.net/11586/430525Test |
| رقم الانضمام: | edsbas.1684F962 |
| قاعدة البيانات: | BASE |
| DOI: | 10.3389/fendo.2022.1080159 |
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