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Journal ArticleDOI

Comparison of light microscopic grading and morphometric features in cytological breast cancer specimens.

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TLDR
It is concluded that morphometry has discriminative power for the three grades in cytologic breast cancer specimens and may therefore be a useful instrument for classification of difficult cases.
Abstract
Summary A study was set up to investigate correlations between different light microscopic grades and morphometric features in cytological breast cancer specimens and to evaluate the discriminative power of morphometry for the three grades. 76 slides (smears and imprints) were graded independently in two different laboratories, and the 54 unequivocally graded slides were used as a training set for computing classification rules. In all slides, 1 00 nuclei and their nucleoli were measured on a graphic tablet at a final magnification of 2800x . A total of 43 morphometric features was evaluated. Univariate analysis showed significantly different values for most of the morphometric features for the three grades. Discriminant analysis revealed that a combination of the mean nuclear area and the number of mitoses per slide provided optimal discrimination between grades one and two (87.5% correct classification). One more feature (mean nuclear shape factor) was needed to obtain optimal discrimination between grades two and three (83.3% correct classifications). 16 of the 22 (72.7%) equivocally graded slides could be classified with high probability using these classification rules. We conclude that morphometry has discriminative power for the three grades in cytologic breast cancer specimens and may therefore be a useful instrument for classification of difficult cases.

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Citations
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Computer-derived nuclear features distinguish malignant from benign breast cytology.

TL;DR: The use of computer-based analytical techniques to define nuclear size, shape, and texture features are used to distinguish between benign and malignant breast cytology, and nine benign aspirates fell into the suspicious category.
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Computational pathology to discriminate benign from malignant intraductal proliferations of the breast.

TL;DR: Data show that computational pathology models can robustly discriminate benign from malignant intraductal proliferative lesions of the breast and may aid pathologists in the diagnosis and classification of these lesions.
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Diagnosis of breast lesions: fine-needle aspiration cytology or core needle biopsy? A review

TL;DR: This study reviews FNAC and CNB for diagnosing breast lesions, comparing methodological issues, diagnostic performance indices, possibilities for additional prognostic and predictive tests and cost effectiveness and concludes that overall CNB is to be preferred as a diagnostic method.
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Expert system support using Bayesian belief networks in the diagnosis of fine needle aspiration biopsy specimens of the breast.

TL;DR: Developing an expert system model for the diagnosis of fine needle aspiration cytology of the breast will have three important roles in breast cytodiagnosis: to aid the cytologist in making a more consistent and objective diagnosis, to provide a teaching tool on breast cytological diagnosis for the non-expert, and it is the first stage in the development of a system capable of automated diagnosis through the use of expert system machine vision.
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Computerized breast cancer diagnosis and prognosis from fine needle aspirates

TL;DR: Using digital image analysis and machine learning to improve breast mass diagnosis based on fine-needle aspirates and breast cancer prognostic estimations and computer technology will improve breast fine- Needle aspirate accuracy and prognostic estimation.
References
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Journal ArticleDOI

The value of morphometry to classic prognosticators in breast cancer.

TL;DR: In 271 breast cancer patients with adequate follow‐up for at least 5.5 and maximally 12 years, the value of morphometry to classic prognosticators of breast cancer was assessed and it was found that mitotic activity index is the best single predictor of the prognosis.
Journal ArticleDOI

Prognostic significance of DNA measurements in 409 consecutive breast cancer patients.

TL;DR: It is demonstrated that tumor nuclear DNA content is a strong indicator of prognosis in patients suffering from invasive breast adenocarcinoma, and the results also show that simple determination of the stemline position is not the optimal DNA measure of intrinsic tumor malignancy potential.
Journal ArticleDOI

Value of cytoprognostic classification in breast carcinomas.

TL;DR: Cytological classification of breast carcinoma based on fine needle aspiration provides valuable information concerning the prognosis of patients, which is relevant to their clinical management.
Journal ArticleDOI

Analysis of measuring system parameters that influence reproducibility of morphometric assessments with a graphic tablet.

TL;DR: The results show that in the assessment of morphometric features with the use of a graphic tablet, errors due to the measuring system can be virtually eliminated.
Journal Article

The prognostic value of the aspiration biopsy smear in mammary carcinoma.

A Wallgren, +1 more
- 01 Sep 1976 - 
TL;DR: The prognostic significance of various morphologic factors was studied in aspiration biopsy smears from 494 carcinomas of the breast and a multivariate analysis of clinical and cytologic variables was performed.
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