PMID- 34077391
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20220424
IS  - 2049-3614 (Print)
IS  - 2049-3614 (Electronic)
IS  - 2049-3614 (Linking)
VI  - 10
IP  - 7
DP  - 2021 Jun 29
TI  - Indeterminate thyroid cytology: detecting malignancy using analysis of nuclear 
      images.
PG  - 707-714
LID - 10.1530/EC-20-0648 [doi]
AB  - BACKGROUND: Thyroid nodules diagnosed as 'atypia of undetermined 
      significance/follicular lesion of undetermined significance' (AUS/FLUS) or 
      'follicular neoplasm/suspected follicular neoplasm' (FN/SFN), according to 
      Bethesda's classification, represent a challenge in clinical practice. 
      Computerized analysis of nuclear images (CANI) could be a useful tool for these 
      cases. Our aim was to evaluate the ability of CANI to correctly classify AUS/FLUS 
      and FN/SFN thyroid nodules for malignancy. METHODS: We studied 101 nodules 
      cytologically classified as AUS/FLUS (n = 68) or FN/SFN (n = 33) from 97 
      thyroidectomy patients. Slides with cytological material were submitted for 
      manual selection and analysis of the follicular cell nuclei for morphometric and 
      texture parameters using ImageJ software. The histologically benign and malignant 
      lesions were compared for such parameters which were then evaluated for the 
      capacity to predict malignancy using the classification and regression trees gini 
      model. The intraclass coefficient of correlation was used to evaluate method 
      reproducibility. RESULTS: In AUS/FLUS nodule analysis, the benign and malignant 
      nodules differed for entropy (P < 0.05), while the FN/SFN nodules differed for 
      fractal analysis, coefficient of variation (CV) of roughness, and CV-entropy (P < 
      0.05). Considering the AUS/FLUS and FN/SFN nodules separately, it correctly 
      classified 90.0 and 100.0% malignant nodules, with a correct global 
      classification of 94.1 and 97%, respectively. We observed that reproducibility 
      was substantially or nearly complete (0.61-0.93) in 10 of the 12 nuclear 
      parameters evaluated. CONCLUSION: CANI demonstrated a high capacity for correctly 
      classifying AUS/FLUS and FN/SFN thyroid nodules for malignancy. This could be a 
      useful method to help increase diagnostic accuracy in the indeterminate thyroid 
      cytology.
FAU - Hayashi, Caroline Y
AU  - Hayashi CY
AD  - Department of Internal Medicine, Botucatu Medical School, Sao Paulo State 
      University (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Jaune, Danilo T A
AU  - Jaune DTA
AD  - Department of Internal Medicine, Botucatu Medical School, Sao Paulo State 
      University (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Oliveira, Cristiano C
AU  - Oliveira CC
AD  - Department of Pathology, Botucatu Medical School, Sao Paulo State University 
      (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Coelho, Barbara P
AU  - Coelho BP
AD  - Department of Surgery and Orthopedics, Botucatu Medical School, Sao Paulo State 
      University (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Miot, Helio A
AU  - Miot HA
AD  - Department of Dermatology, Botucatu Medical School, Sao Paulo State University 
      (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Marques, Mariangela E A
AU  - Marques MEA
AD  - Department of Pathology, Botucatu Medical School, Sao Paulo State University 
      (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Tagliarini, Jose Vicente
AU  - Tagliarini JV
AD  - Department of Otolaryngology and Head and Neck Surgery, Botucatu Medical School, 
      Sao Paulo State University (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Castilho, Emanuel C
AU  - Castilho EC
AD  - Department of Otolaryngology and Head and Neck Surgery, Botucatu Medical School, 
      Sao Paulo State University (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Soares, Carlos S P
AU  - Soares CSP
AD  - Department of Otolaryngology and Head and Neck Surgery, Botucatu Medical School, 
      Sao Paulo State University (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Oliveira, Flavia R K
AU  - Oliveira FRK
AD  - Department of Internal Medicine, Botucatu Medical School, Sao Paulo State 
      University (Unesp), Botucatu, Sao Paulo, Brazil.
FAU - Soares, Paula
AU  - Soares P
AD  - Instituto de Investigacao e Inovacao em Saude (i3S), Universidade do Porto, 
      Porto, Portugal.
AD  - Cancer Signaling and Metabolism Group, Institute of Molecular Pathology and 
      Immunology of the University of Porto (IPATIMUP), Porto, Portugal.
AD  - Department of Pathology, Medical Faculty of the University of Porto, Porto, 
      Portugal.
FAU - Mazeto, Glaucia M F S
AU  - Mazeto GMFS
AUID- ORCID: 0000-0003-2129-7256
AD  - Department of Internal Medicine, Botucatu Medical School, Sao Paulo State 
      University (Unesp), Botucatu, Sao Paulo, Brazil.
LA  - eng
PT  - Journal Article
DEP - 20210629
PL  - England
TA  - Endocr Connect
JT  - Endocrine connections
JID - 101598413
PMC - PMC8284953
OTO - NOTNLM
OT  - cell nucleus
OT  - cytology
OT  - diagnosis
OT  - photography
OT  - thyroid neoplasms
EDAT- 2021/06/03 06:00
MHDA- 2021/06/03 06:01
PMCR- 2021/06/02
CRDT- 2021/06/02 17:19
PHST- 2021/04/26 00:00 [received]
PHST- 2021/06/02 00:00 [accepted]
PHST- 2021/06/03 06:00 [pubmed]
PHST- 2021/06/03 06:01 [medline]
PHST- 2021/06/02 17:19 [entrez]
PHST- 2021/06/02 00:00 [pmc-release]
AID - EC-20-0648.R1 [pii]
AID - EC-20-0648 [pii]
AID - 10.1530/EC-20-0648 [doi]
PST - epublish
SO  - Endocr Connect. 2021 Jun 29;10(7):707-714. doi: 10.1530/EC-20-0648.