Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS
Since the 1990s, ultrasound (US) has played a major role in the assessment of thyroid nodules and their risk of malignancy. Over the last decade, the most eminent international societies have published US-based systems for the risk stratification of thyroid lesions, namely, Thyroid Imaging Reporting...
Saved in:
| Sonstige: | |
|---|---|
| Year of Publication: | 2022 |
| Language: | English |
| Physical Description: | 1 electronic resource (212 p.) |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| id |
993544764604498 |
|---|---|
| ctrlnum |
(CKB)5680000000037803 (oapen)https://directory.doabooks.org/handle/20.500.12854/80956 (EXLCZ)995680000000037803 |
| collection |
bib_alma |
| record_format |
marc |
| spelling |
Trimboli, Pierpaolo edt Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS Risk Stratification of Thyroid Nodule Basel MDPI - Multidisciplinary Digital Publishing Institute 2022 1 electronic resource (212 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier Since the 1990s, ultrasound (US) has played a major role in the assessment of thyroid nodules and their risk of malignancy. Over the last decade, the most eminent international societies have published US-based systems for the risk stratification of thyroid lesions, namely, Thyroid Imaging Reporting And Data Systems (TIRADSs). The introduction of TIRADSs into clinical practice has significantly increased the diagnostic power of US to a level approaching that of fine-needle aspiration cytology (FNAC). At present, we are probably approaching a new era in which US could be the primary tool to diagnose thyroid cancer. However, before using US in this new dominant role, we need further proof. This Special Issue, which includes reviews and original articles, aims to pave the way for the future in the field of thyroid US. Highly experienced thyroidologists focused on US are asked to contribute to achieve this goal. English Medicine bicssc Clinical & internal medicine bicssc thyroid ultrasonography follicular neoplasm follicular lesion of unknown significance follicular thyroid cancer papillary thyroid carcinoma neoplasm metastasis biopsy fine-needle thyroglobulin US-guided minimally invasive techniques radiofrequency ablation RFA benign thyroid nodules thyroid cancer DTC recurrences PTMC long term follow-up regrowth classification system ultrasound classification system TIRAD nodule risk stratification TI-RADS fine-needle aspiration cancer ultrasound scintigraphy non-autonomously functioning thyroid imaging reporting and data systems (TIRADS) risk of malignancy (ROM) thyroid nodules paediatrics radiotherapy risk assessment DTC thyroid neoplasm medical imaging artificial intelligence machine learning deep learning radiomics prediction diagnosis Thyroid Imaging Reporting and Data Systems (TIRADS) pediatric thyroid nodules neck ultrasound contrast-enhanced ultrasound (CEUS) papillary thyroid cancer TIRADS thyroid nodule fine-needle aspiration biopsy elastosonography 3-0365-3760-0 3-0365-3759-7 Trimboli, Pierpaolo oth |
| language |
English |
| format |
eBook |
| author2 |
Trimboli, Pierpaolo |
| author_facet |
Trimboli, Pierpaolo |
| author2_variant |
p t pt |
| author2_role |
Sonstige |
| title |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| spellingShingle |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| title_full |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| title_fullStr |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| title_full_unstemmed |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| title_auth |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| title_alt |
Risk Stratification of Thyroid Nodule |
| title_new |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| title_sort |
risk stratification of thyroid nodule: from ultrasound features to tirads |
| publisher |
MDPI - Multidisciplinary Digital Publishing Institute |
| publishDate |
2022 |
| physical |
1 electronic resource (212 p.) |
| isbn |
3-0365-3760-0 3-0365-3759-7 |
| illustrated |
Not Illustrated |
| work_keys_str_mv |
AT trimbolipierpaolo riskstratificationofthyroidnodulefromultrasoundfeaturestotirads AT trimbolipierpaolo riskstratificationofthyroidnodule |
| status_str |
n |
| ids_txt_mv |
(CKB)5680000000037803 (oapen)https://directory.doabooks.org/handle/20.500.12854/80956 (EXLCZ)995680000000037803 |
| carrierType_str_mv |
cr |
| is_hierarchy_title |
Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS |
| author2_original_writing_str_mv |
noLinkedField |
| _version_ |
1787548474096484352 |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03833nam-a2200973z--4500</leader><controlfield tag="001">993544764604498</controlfield><controlfield tag="005">20231214133312.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr|mn|---annan</controlfield><controlfield tag="008">202205s2022 xx |||||o ||| 0|eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5680000000037803</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(oapen)https://directory.doabooks.org/handle/20.500.12854/80956</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995680000000037803</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Trimboli, Pierpaolo</subfield><subfield code="4">edt</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Risk Stratification of Thyroid Nodule: From Ultrasound Features to TIRADS</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Risk Stratification of Thyroid Nodule</subfield></datafield><datafield tag="260" ind1=" " ind2=" "><subfield code="a">Basel</subfield><subfield code="b">MDPI - Multidisciplinary Digital Publishing Institute</subfield><subfield code="c">2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 electronic resource (212 p.)</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Since the 1990s, ultrasound (US) has played a major role in the assessment of thyroid nodules and their risk of malignancy. Over the last decade, the most eminent international societies have published US-based systems for the risk stratification of thyroid lesions, namely, Thyroid Imaging Reporting And Data Systems (TIRADSs). The introduction of TIRADSs into clinical practice has significantly increased the diagnostic power of US to a level approaching that of fine-needle aspiration cytology (FNAC). At present, we are probably approaching a new era in which US could be the primary tool to diagnose thyroid cancer. However, before using US in this new dominant role, we need further proof. This Special Issue, which includes reviews and original articles, aims to pave the way for the future in the field of thyroid US. Highly experienced thyroidologists focused on US are asked to contribute to achieve this goal.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">English</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Medicine</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Clinical & internal medicine</subfield><subfield code="2">bicssc</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thyroid</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ultrasonography</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">follicular neoplasm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">follicular lesion of unknown significance</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">follicular thyroid cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">papillary thyroid carcinoma</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neoplasm metastasis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">biopsy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fine-needle</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thyroglobulin</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">US-guided minimally invasive techniques</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiofrequency ablation</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">RFA</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">benign thyroid nodules</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thyroid cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">DTC recurrences</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">PTMC</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">long term</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">follow-up</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">regrowth</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">classification system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ultrasound classification system</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TIRAD</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">nodule</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">risk stratification</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TI-RADS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fine-needle aspiration</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">ultrasound</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">scintigraphy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">non-autonomously functioning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thyroid imaging reporting and data systems (TIRADS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">risk of malignancy (ROM)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thyroid nodules</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">paediatrics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiotherapy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">risk assessment</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">DTC</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thyroid neoplasm</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">medical imaging</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">artificial intelligence</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">machine learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">deep learning</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">radiomics</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">prediction</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">diagnosis</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Thyroid Imaging Reporting and Data Systems (TIRADS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">pediatric thyroid nodules</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">neck ultrasound</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">contrast-enhanced ultrasound (CEUS)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">papillary thyroid cancer</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">TIRADS</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">thyroid nodule</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">fine-needle aspiration biopsy</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">elastosonography</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-3760-0</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">3-0365-3759-7</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Trimboli, Pierpaolo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-12-15 05:49:44 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2022-05-14 21:41:54 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="i">DOAB Directory of Open Access Books</subfield><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337721940004498&Force_direct=true</subfield><subfield code="Z">5337721940004498</subfield><subfield code="b">Available</subfield><subfield code="8">5337721940004498</subfield></datafield></record></collection> |