Literature DB >> 33128731

Digital Versus Optical Diagnosis of Follicular Patterned Thyroid Lesions.

Ayat Aloqaily1,2, Antonio Polonia3,4, Sofia Campelos3, Nusaiba Alrefae3,5, Joao Vale3, Ana Caramelo3, Catarina Eloy3,6,4.   

Abstract

OBJECTIVES: To study the concordance between pathologists in the diagnosis of follicular patterned thyroid lesions using both digital and conventional optical settings.
MATERIAL AND METHODS: Five pathologists reviewed 50 hematoxylin and eosin-stained slides of follicular patterned thyroid lesions using both digital (the D-Sight 2.0 scanner and navigator viewer) and conventional optical instruments with washout interval time.
RESULTS: The mean concordance rate with the ground truth (GT) was similar between conventional optical and digital observation (83.2 and 85.2%, respectively). The most frequent reason for diagnostic discordance with GT on both systems was the evaluation of nuclear features (69.1% for conventional optical observation and 59.4% for digital observation). The intraobserver diagnostic concordance mean was 86.8%. Time for digital observation (mean time per case = 2.9 ± 0.8 min) was higher than that for conventional optical observation (mean time per case = 2.0 ± 0.7 min). Interobserver correlation of measurements was higher in the digital observation than the conventional optical observation.
CONCLUSION: Conventional optical and digital observation settings showed a comparable accuracy for the diagnosis of follicular patterned thyroid nodules, as well as substantial intraobserver agreement and a significant improvement in the reproducibility of the measurements that support the use of digital diagnosis in thyroid pathology. The origins underlying the variability of the diagnosis were the same in both conventional optical microscopy and digital pathology systems.

Entities:  

Keywords:  Digital pathology; Noninvasive follicular thyroid neoplasm with papillary-like nuclear features; Papillary thyroid carcinoma; Thyroid; Thyroid cancer

Mesh:

Year:  2020        PMID: 33128731      PMCID: PMC8134627          DOI: 10.1007/s12105-020-01243-y

Source DB:  PubMed          Journal:  Head Neck Pathol        ISSN: 1936-055X


  21 in total

1.  Observer variation of encapsulated follicular lesions of the thyroid gland.

Authors:  Mitsuyoshi Hirokawa; J Aidan Carney; John R Goellner; Ronald A DeLellis; Clara S Heffess; Ryohei Katoh; Masahiko Tsujimoto; Kennichi Kakudo
Journal:  Am J Surg Pathol       Date:  2002-11       Impact factor: 6.394

Review 2.  Follicular-patterned tumors of the thyroid: the battle of benign vs. malignant vs. so-called uncertain.

Authors:  Virginia A LiVolsi; Zubair W Baloch
Journal:  Endocr Pathol       Date:  2011-12       Impact factor: 3.943

3.  Interobserver and intraobserver variation among experts in the diagnosis of thyroid follicular lesions with borderline nuclear features of papillary carcinoma.

Authors:  Tarik M Elsheikh; Sylvia L Asa; John K C Chan; Ronald A DeLellis; Clara S Heffess; Virginia A LiVolsi; Bruce M Wenig
Journal:  Am J Clin Pathol       Date:  2008-11       Impact factor: 2.493

Review 4.  Controversies Regarding the Interpretation of Follicular Thyroid Nodules.

Authors:  Saul Suster
Journal:  Arch Pathol Lab Med       Date:  2019-09-26       Impact factor: 5.534

5.  Interobserver and intraobserver variation in the morphological evaluation of noninvasive follicular thyroid neoplasm with papillary-like nuclear features in Asian practice.

Authors:  Zhiyan Liu; Andrey Bychkov; Chan Kwon Jung; Mitsuyoshi Hirokawa; Shaofeng Sui; SoonWon Hong; Chiung-Ru Lai; Deepali Jain; Sule Canberk; Kennichi Kakudo
Journal:  Pathol Int       Date:  2019-02-27       Impact factor: 2.534

Review 6.  Non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP): impact on the reclassification of thyroid nodules.

Authors:  Isabel Amendoeira; Tiago Maia; Manuel Sobrinho-Simões
Journal:  Endocr Relat Cancer       Date:  2018-02-09       Impact factor: 5.678

Review 7.  Follicular-patterned afflictions of the thyroid gland: reappraisal of the most discussed entity in endocrine pathology.

Authors:  Zubair W Baloch; Virginia A LiVolsi
Journal:  Endocr Pathol       Date:  2014-03       Impact factor: 3.943

8.  Histopathologic Assessment of Capsular Invasion in Follicular Thyroid Neoplasms-an Observer Variation Study.

Authors:  Yun Zhu; Yaqiong Li; Chan Kwon Jung; Dong Eun Song; Jen-Fan Hang; Zhiyan Liu; Deepali Jain; Chiung-Ru Lai; Mitsuyoshi Hirokawa; Kennichi Kakudo; Andrey Bychkov
Journal:  Endocr Pathol       Date:  2020-06       Impact factor: 3.943

9.  Whole Slide Imaging Versus Microscopy for Primary Diagnosis in Surgical Pathology: A Multicenter Blinded Randomized Noninferiority Study of 1992 Cases (Pivotal Study).

Authors:  Sanjay Mukhopadhyay; Michael D Feldman; Esther Abels; Raheela Ashfaq; Senda Beltaifa; Nicolas G Cacciabeve; Helen P Cathro; Liang Cheng; Kumarasen Cooper; Glenn E Dickey; Ryan M Gill; Robert P Heaton; René Kerstens; Guy M Lindberg; Reenu K Malhotra; James W Mandell; Ellen D Manlucu; Anne M Mills; Stacey E Mills; Christopher A Moskaluk; Mischa Nelis; Deepa T Patil; Christopher G Przybycin; Jordan P Reynolds; Brian P Rubin; Mohammad H Saboorian; Mauricio Salicru; Mark A Samols; Charles D Sturgis; Kevin O Turner; Mark R Wick; Ji Y Yoon; Po Zhao; Clive R Taylor
Journal:  Am J Surg Pathol       Date:  2018-01       Impact factor: 6.394

10.  Diagnostic time in digital pathology: A comparative study on 400 cases.

Authors:  Aleksandar Vodovnik
Journal:  J Pathol Inform       Date:  2016-01-29
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  1 in total

Review 1.  Current Developments of Artificial Intelligence in Digital Pathology and Its Future Clinical Applications in Gastrointestinal Cancers.

Authors:  Alex Ngai Nick Wong; Zebang He; Ka Long Leung; Curtis Chun Kit To; Chun Yin Wong; Sze Chuen Cesar Wong; Jung Sun Yoo; Cheong Kin Ronald Chan; Angela Zaneta Chan; Maribel D Lacambra; Martin Ho Yin Yeung
Journal:  Cancers (Basel)       Date:  2022-08-03       Impact factor: 6.575

  1 in total

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