Usefulness of computer-aided karyometric examination in preoperative differentiation of Hürthle cell lesions

Słowińska-Klencka, Dorota; Klencki, Mariusz; Sporny, Stanisław; Lewiński, Andrzej

doi:10.1002/(sici)1097-0339(199710)17:4<255::aid-dc3>3.0.co;2-b

Cited by 4 publications

(3 citation statements)

References 6 publications

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“…Machine learning could evaluate a wide range of morphometric parameters, so could potentially be more predictive of outcome; however, it would likely represent a replacement for conventional cytology, whereas our method offers a tool to be used in conjunction with cytology. Three studies looked at Hurthle cell lesions, and none found nuclear morphometric features to be useful, although 1 did find that nucleolar morphometry showed some differences between benign and malignant Hurthle cell lesions …”

Section: Discussionmentioning

confidence: 99%

Digital image‐assisted quantitative nuclear analysis improves diagnostic accuracy of thyroid fine‐needle aspiration cytology

Chain

Legesse

Heath

et al. 2019

Cancer Cytopathology

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Background Thyroid fine‐needle aspiration (FNA) plays a key role in triaging thyroid nodules. Yet many cases are assigned to indeterminate categories. The new category “noninvasive follicular thyroid neoplasm with papillary‐like features” (NIFTP) complicates thyroid cytology. Digital image‐derived nuclear measurements might objectively distinguish papillary thyroid carcinoma (PTC) from benign nodules and NIFTP. Methods All thyroid FNAs from 2012 to 2016 of atypia of undetermined significance (A; n = 8) and suspicious for malignancy (S; n = 2) with sufficient cellularity and surgical follow‐up, all FNAs preceding NIFTP (n = 6), and a random sample of PTC (n = 9) and benign (n = 10) cytology were studied. A modified Giemsa‐stained slide from each case was scanned using the Aperio imaging system, and long (dl) and short (ds)‐axis diameters were measured for 125 nuclei per case. Nuclear area and elongation were calculated. Results Nuclear area was larger in PTC (mean, 77.2 μm2 [range, 70.6‐86.0 μm2]) than benign (mean, 43.3 μm2 [range 38.2‐52.2 μm2]) (P < .001). Nuclear areas from indeterminate FNAs segregated according to final histology (A/S PTC mean 72.7 μm2, A/S benign mean 53.7 μm2; P = 0.004), and were not significantly different from definitive FNAs of the same diagnosis. NIFTP nuclear area was smaller than PTC (mean, 54.8 μm2 [range, 46.7‐66.1 μm2]; P < .001). Nuclear elongation showed similar results, but with greater group overlap. Conclusion Nuclear area and elongation can be calculated using a commercial digital imager; both correlate with the final surgical pathology diagnosis of PTC versus benign, including NIFTP. Area provides greater resolution than elongation. This technique could be used to resolve indeterminate cytology in which PTC is considered.

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Section: Discussionmentioning

confidence: 99%

Digital image‐assisted quantitative nuclear analysis improves diagnostic accuracy of thyroid fine‐needle aspiration cytology

Chain

Legesse

Heath

et al. 2019

Cancer Cytopathology

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“…To differentiate nodular goiter, adenoma, and follicular carcinoma, other researchers used thyrocyte nuclear area and perimeter. [11][12][13] In Tseleni et al, 14 the authors managed to show the prognostic significance of karyometric parameters of thyrocytes in patients with papillary carcinoma. Nagashima et al 15 revealed that for papillary carcinoma, the values of thyrocyte nuclear mean area and a coefficient of its variation appeared to be considerably higher with the presence of metastases to regional lymph nodes.…”

mentioning

confidence: 99%

Thyroid carcinoma diagnosis based on a set of karyometric parameters of follicular cells

Кириллов

Yuschenko

Paplevka

et al. 2001

Cancer

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“…6 It has been suggested that nuclear morphometric parameters such as nuclear area and perimeter, nuclear area coefficient of variation and shape factors may allow differentiation between various thyroid lesions. [7][8][9] Application of morphometry to cytology would presumably be useful for the purpose of automated screening as well as accurate diagnosis of thyroid lesions including tumours.…”

Section: Methodsmentioning

confidence: 99%

Study of nuclear morphometry in the cytologic evaluation of thyroid neoplasms

Thomas,

Chhadi,

Chhadi

2023

J Pathol Nep

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Background: Nuclear morphometry is purported to allow better differentiation between various thyroid lesions beyond what is offered by conventional cytology. The present study was conducted to evaluate the nuclear morphometric parameters in fine needle aspirates of thyroid neoplasms and to study their role in differentiating benign and malignant thyroid neoplasms. Materials and Methods: Nuclear morphometric parameters of all the patients presenting with thyroid swelling and undergoing fine needle aspiration cytology (FNAC) and belonging to Category III, IV, V, and VI of the Bethesda System for Reporting Thyroid Cytopathology (TBSRTC) were studied. Results: Out of a total of 60 cases, a maximum was noted from category IV which is follicular neoplasm or suspicious for follicular neoplasm. The sensitivity of FNAC for the diagnosis of thyroid lesions in the present study was observed at 87.71%. The nuclear morphometry parameters – short axis diameter, long axis diameter, nuclear area, and perimeter showed significant differences between benign and malignant lesions (p-value <0.001). The mentioned nuclear morphometric parameters were observed to be the highest in anaplastic carcinoma followed by papillary carcinoma and medullary carcinoma, and lowest in follicular neoplasms. A significant difference was observed in the nuclear parameters of follicular adenoma and follicular carcinoma. Conclusions: Nuclear morphometry can help in distinguishing between benign and malignant thyroid lesions, particularly in the diagnosis of indeterminate smears where there is a disparity in diagnosis on conventional cytology, especially in differentiating follicular neoplasms.

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Usefulness of computer-aided karyometric examination in preoperative differentiation of Hürthle cell lesions

Cited by 4 publications

References 6 publications

Digital image‐assisted quantitative nuclear analysis improves diagnostic accuracy of thyroid fine‐needle aspiration cytology

Digital image‐assisted quantitative nuclear analysis improves diagnostic accuracy of thyroid fine‐needle aspiration cytology

Thyroid carcinoma diagnosis based on a set of karyometric parameters of follicular cells

Study of nuclear morphometry in the cytologic evaluation of thyroid neoplasms

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