Role of Nuclear Morphometry in The Diagnosis of Various Breast Lesions By Fine Needle Aspiration Cytology- A Study of Diagnostic Accuracy

Abstract Introduction The Nuclear Morphometric Study can improve. During the past several years, it has been well-established that several clinical, cytological and histopathological variables are helpful in predicting the clinical outcome of cancer patients. Objectives 1. To study the Nuclear Morphometric parameters of the benign and malignant breast FNA aspirates 2. To determine suitable cutoff values differentiating benign and malignant in case of nuclear parameters with significant difference. 3. To study correlation of nuclear parameters with cytological grades Materials and Methods Nuclear Morphometric parameters (MAJX-Major Axis ,MINX-Minor Axis, NAR-Nuclear Aspect Ratio, NA- Nuclear Area, NP- Nuclear Perimeter) study on 50 histopathologicaly proven cases of both benign and malignant breast lesions each. Nuclear Morphometric parameters were evaluated on FNAC slides using Digital Image analyzing software. Appropriate statistical tests where applied wherever necessary and P value of less than 0.05 was considered for significant difference. Receiver Operating Characteristics (ROC) curve between sensitivity (true positive) and 1-specificity (false negative) was plotted to determine the optimal cut-off of various nuclear parameters Results -The nuclear parameters showed a significant difference. All nuclear parameters showed positive correlation with their variability. Cut-off values with sensitivity=1 for differentiation between the benign and malignant cases were MAJX>5.6µmicron(specificity =1), MINX>4.6µmicron(specificity=0.99),NA>88.98µmicron²(specificity=1), NP>33.67µmicron(specificity =1) Conclusion Nuclear Morphometric analysis along with routine FNAC proves very helpful in further grading and appropriate management of the patient. Nuclear Morphometry approach overcomes interobserver variability &can be gainfully exploited in the diagnosis of breast carcinoma Thus, Computerized nuclear morphometry is an efficient objective Tool to supplement the subjective FNAC, improving the diagnostic capabilities of FNAC

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-11-30
DOI
https://doi.org/10.5281/zenodo.15448922
Primary Topic
Nuclear Structure and Function
Type
article
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article

Role of Nuclear Morphometry in The Diagnosis of Various Breast Lesions By Fine Needle Aspiration Cytology- A Study of Diagnostic Accuracy

Zenodo (CERN European Organization for Nuclear Research)
Nuclear Structure and Function
article

Role of Nuclear Morphometry in The Diagnosis of Various Breast Lesions By Fine Needle Aspiration Cytology- A Study of Diagnostic Accuracy

article en

Abstract

Abstract Introduction The Nuclear Morphometric Study can improve. During the past several years, it has been well-established that several clinical, cytological and histopathological variables are helpful in predicting the clinical outcome of cancer patients. Objectives 1. To study the Nuclear Morphometric parameters of the benign and malignant breast FNA aspirates 2. To determine suitable cutoff values differentiating benign and malignant in case of nuclear parameters with significant difference. 3. To study correlation of nuclear parameters with cytological grades Materials and Methods Nuclear Morphometric parameters (MAJX-Major Axis ,MINX-Minor Axis, NAR-Nuclear Aspect Ratio, NA- Nuclear Area, NP- Nuclear Perimeter) study on 50 histopathologicaly proven cases of both benign and malignant breast lesions each. Nuclear Morphometric parameters were evaluated on FNAC slides using Digital Image analyzing software. Appropriate statistical tests where applied wherever necessary and P value of less than 0.05 was considered for significant difference. Receiver Operating Characteristics (ROC) curve between sensitivity (true positive) and 1-specificity (false negative) was plotted to determine the optimal cut-off of various nuclear parameters Results -The nuclear parameters showed a significant difference. All nuclear parameters showed positive correlation with their variability. Cut-off values with sensitivity=1 for differentiation between the benign and malignant cases were MAJX>5.6µmicron(specificity =1), MINX>4.6µmicron(specificity=0.99),NA>88.98µmicron²(specificity=1), NP>33.67µmicron(specificity =1) Conclusion Nuclear Morphometric analysis along with routine FNAC proves very helpful in further grading and appropriate management of the patient. Nuclear Morphometry approach overcomes interobserver variability &can be gainfully exploited in the diagnosis of breast carcinoma Thus, Computerized nuclear morphometry is an efficient objective Tool to supplement the subjective FNAC, improving the diagnostic capabilities of FNAC

Zenodo (CERN European Organization for Nuclear Research)
Innovative Research (United States) (US)
Good health and well-being
Openalex Percentile: Top 71%
Nuclear Structure and Function
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