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Fractal Analysis Method for the Complexity of Cell Cluster Staining on Breast FNAB.
Yoshioka, Haruhiko; Herai, Anna; Oikawa, Sota; Morohashi, Satoko; Hasegawa, Yoshie; Horie, Kayo; Watanabe, Jun.
Afiliação
  • Yoshioka H; Department of Bioscience and Laboratory Medicine, Hirosaki University Graduate School of Health Sciences, Hirosaki, Japan, yoshioka@hirosaki-u.ac.jp.
  • Herai A; Department of Bioscience and Laboratory Medicine, Hirosaki University Graduate School of Health Sciences, Hirosaki, Japan.
  • Oikawa S; Department of Clinical Laboratory, Hirosaki Municipal Hospital, Hirosaki, Japan.
  • Morohashi S; Department of Clinical Laboratory, Hirosaki Municipal Hospital, Hirosaki, Japan.
  • Hasegawa Y; Department of Breast Surgery, Hirosaki Municipal Hospital, Hirosaki, Japan.
  • Horie K; Department of Bioscience and Laboratory Medicine, Hirosaki University Graduate School of Health Sciences, Hirosaki, Japan.
  • Watanabe J; Department of Bioscience and Laboratory Medicine, Hirosaki University Graduate School of Health Sciences, Hirosaki, Japan.
Acta Cytol ; 65(1): 4-12, 2021.
Article em En | MEDLINE | ID: mdl-32841946
ABSTRACT

OBJECTIVE:

Because of the increased precision of ultrasound breast cancer screening, early cancer cases with no clear mass or extraction of microcysts on imaging have recently increased, and improvement of the accuracy of breast fine-needle aspiration biopsy (FNAB) cytology is needed. The objective of this study was to investigate the usefulness of cluster gray image-fractal analysis evaluating the darkness of clusters, cluster unevenness, and complexity of hyperchromicity (cluster density) of deep-stained cell clusters, known as hyperchromatic crowded cell groups (HCG), on FNAB as a cytology assistance system for breast FNAB. STUDY

DESIGN:

One hundred clusters collected from 10 patients with fibroadenoma (FA), 90 clusters from 9 patients with ductal carcinoma in situ (DCIS), and 122 clusters from 11 patients with invasive breast carcinoma of no special type (IBC-NST) were used. (1) Cluster size classification clusters were classified into small, middle, and large clusters (small cluster smaller than 40 × 102 µm2; large cluster 100 × 102 µm2 or larger; middle cluster intermediate), and their frequency was calculated. (2) Cluster gray image-fractal

analysis:

(a) the darkness of clusters (luminance), (b) cluster unevenness (complexity), and (c) complexity of cluster density (roundness-corrected fractal value) were assessed. For statistical analysis, the multiple comparison Steel-Dwass test was used, with a significance level of p < 0.05.

RESULTS:

(1) Cluster size classification in FA, small, middle, and large clusters appeared at a similar frequency, and the frequency (30%) of large clusters was significantly higher than that in other diseases. In IBC-NST, many small clusters (61%) appeared and their frequency was significantly higher than that in other diseases, whereas the frequency of large clusters was significantly lower. (2) Cluster gray image-fractal

analysis:

in IBC-NST, the luminance of small clusters was low (dark), the cluster unevenness was high, and the complexity of cluster density was high, whereas the luminance of large clusters was high (bright), the cluster unevenness was high, and complexity of cluster density was high compared with those in FA.

CONCLUSION:

Cluster gray image-fractal analysis evaluating the darkness of clusters, cluster unevenness, and complexity of cluster density in breast FNAB HCG is a useful cytology assistance system for breast FNA.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coloração e Rotulagem / Mama / Citodiagnóstico / Biópsia por Agulha Fina Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Coloração e Rotulagem / Mama / Citodiagnóstico / Biópsia por Agulha Fina Idioma: En Ano de publicação: 2021 Tipo de documento: Article