Nuclear score evaluation in follicular-patterned thyroid lesions using optical and digital environments

Ramos, Helton Estrela; Vale, João; Lopes, Sara; Marques, Ana; Pinheiro, Jorge; Beltrão, Fabyan Esberard de Lima; Rodrigues, Gabriel; Rende, Pedro Resende Ferreira; Hecht, Fábio; Eloy, Catarina

doi:10.1007/s12020-022-03104-w

Cited by 5 publications

(10 citation statements)

References 10 publications

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“…We demonstrated the importance of evaluating nuclear parameters using digital pathology, consistent with the findings of studies analysing follicular cells in cytological 9–11,14 and histological 15–17 samples. Studies with histological samples are more common in the literature 15–17 .…”

Section: Discussion/conclusionsupporting

confidence: 85%

“…This is consistent with the concept of nuclear size as an important feature for discriminating benign from malignant cells. 13 We demonstrated the importance of evaluating nuclear parameters using digital pathology, consistent with the findings of studies analysing follicular cells in cytological [9][10][11]14 and histological [15][16][17] samples. Studies with histological samples are more common in the literature.…”

Section: Ta B L Esupporting

confidence: 82%

“…Studies with histological samples are more common in the literature. [15][16][17] In cytological samples, digital pathology has been shown to increase the diagnostic accuracy of malignancy in indeterminate nodules 10 and help differentiate malignant from benign nodules because, in the former, the minimum nuclear diameter, maximum nuclear diameter, perimeter, and nuclear area were more significant. 9 These findings, combined with the potential applications artificial intelligence in digital pathology, offer a promising outlook for improving diagnostic accuracy in thyroid cytology.…”

Section: Ta B L Ementioning

confidence: 99%

“…They also observed agreement among the findings of different pathologists, validating the use of digital pathology in the nuclear score of thyroid lesions with a follicular pattern. 17 Compared to surgical pathology, cytopathology is at a disadvantage when analysing the application of digital pathology in routine diagnosis. There are no specific regulations and no standardisation of images.…”

Section: Ta B L Ementioning

confidence: 99%

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Digital analyses of nuclear features can help discriminate among non‐invasive follicular thyroid neoplasm with papillary‐like nuclear features, papillary thyroid carcinoma follicular subtype, and follicular carcinoma in cytological specimens

Yamamoto,

Liano,

Camilo‐Júnior

et al. 2023

Cytopathology

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BackgroundAs it stands, the diagnosis of non‐invasive follicular thyroid neoplasm with papillary‐like nuclear features (NIFTP) is primarily based on histological analysis. We hypothesised that computerised analysis of nuclear images of cytological specimens could be used to differentiate NIFTP from papillary thyroid carcinoma follicular subtype (PTCFS) and follicular carcinoma (FC), influencing patient management.MethodsWe employed a retrospective analytical observational study based on nuclear morphometric variables of cytological material from thyroid nodules classified as PTCFS, NIFTP, or FC. Five cases of each entity were analysed. Cytological slides were photographed, and 1170 cells for each entity were analysed digitally. The captured images were evaluated (blindly) using the ImageJ software package. The morphometric evaluation included area, perimeter, width, height, and circularity. Numerical variables were expressed as mean, median, minimum, and maximum (min; max) values. Kruskal‐Wallis and Dunn's tests were used with a 5% significance level.ResultsRegarding nuclear analysis, all variables differed among the three groups (p < 0.001). Given the interdependence among the variables, these data indicated that nuclear size was greatest in the NIFTP group, followed by FC and PTCFS.Discussion/ConclusionOur analysis of the digital images, with a focus on nuclear parameters, found significantly difference among cytological specimens from cases of NIFTP, PTCFS and FC. Thus, this tool has the potential to provide additional information that may help in the diagnosis of NIFTP, even during the preoperative period. Additional studies are needed to create protocols, evaluate the applicability of nuclear morphological and morphometric parameters—focusing on digital pathology—and create algorithms and tools to assist cytopathologists with their diagnostic routines.

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Section: Discussion/conclusionsupporting

confidence: 85%

Section: Ta B L Esupporting

confidence: 82%

Section: Ta B L Ementioning

confidence: 99%

Section: Ta B L Ementioning

confidence: 99%

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Digital analyses of nuclear features can help discriminate among non‐invasive follicular thyroid neoplasm with papillary‐like nuclear features, papillary thyroid carcinoma follicular subtype, and follicular carcinoma in cytological specimens

Yamamoto,

Liano,

Camilo‐Júnior

et al. 2023

Cytopathology

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“…computer-performed) diagnostics, which together demonstrate acceptable statistical agreement with non-digital diagnosis. 14 , 15 , 16 , 17 , 18 , 19 Girolami et al 14 , 15 note that the use of these technologies in thyroid investigation is still in its early stages. Progression to an accepted digital model with wide applications can only occur with wide acceptance.…”

Section: Discussionmentioning

confidence: 99%

Successful integration of thyroid cytopathology and surgical pathology education in an E-module format

Rohr

Mukherjee

Donnelly

et al. 2022

Journal of Pathology Informatics

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Optimizing the management of thyroid specimens to efficiently generate whole slide images for diagnosis

Eloy,

Vale,

Barros

et al. 2024

Virchows Arch

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Transition from optical to digital observation requires an additional procedure in the pathology laboratory, the scanning of glass slides, leading to increased time and digital archive consumption. Thyroid surgical samples often carry the need to collect several tissue fragments that generate many slides to be scanned. This study evaluated the impact of using different inking colours for the surgical margin, section thickness, and glass slide type, in the consumption of time and archive. The series comprehended 40 nodules from 30 patients, including 34 benign nodules in follicular nodular disease, 1 NIFTP, and 5 papillary carcinomas. In 12 nodules, the dominant pattern was microfollicular/solid and in 28 it was macrofollicular. Scanning times/mm2 were longer in red-inked fragments in comparison to green (p = 0.04) and black ones (p = 0.024), and in blue-inked in comparison to green ones (p = 0.043). File sizes/mm2 were larger in red-inked fragments in comparison to green (p = 0.008) and black ones (p = 0.002). The dominant pattern microfollicular/solid was associated with bigger file size/mm2 in comparison with the macrofollicular one (p < 0.001). All scanner outputs increase significantly with the thickness of the section. All scanning outputs increase with the usage of adhesive glass slides in comparison to non-adhesive ones. Small interventions in thyroid sample management that can help optimizing the digital workflow include to prefer black and green inking colours for the surgical margins and 2 µm section in non-adhesive glass slides for increased efficiency.

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Nuclear score evaluation in follicular-patterned thyroid lesions using optical and digital environments

Cited by 5 publications

References 10 publications

Digital analyses of nuclear features can help discriminate among non‐invasive follicular thyroid neoplasm with papillary‐like nuclear features, papillary thyroid carcinoma follicular subtype, and follicular carcinoma in cytological specimens

Digital analyses of nuclear features can help discriminate among non‐invasive follicular thyroid neoplasm with papillary‐like nuclear features, papillary thyroid carcinoma follicular subtype, and follicular carcinoma in cytological specimens

Successful integration of thyroid cytopathology and surgical pathology education in an E-module format

Optimizing the management of thyroid specimens to efficiently generate whole slide images for diagnosis

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