Evaluation of Masood’s and Modified Masood’s Scoring Systems in the Cytological Diagnosis of Palpable Breast Lump Aspirates

Cherath, Smrithi Krishna; Moothiringode, Savithri

doi:10.7860/jcdr/2017/22817.9558

Cited by 5 publications

(5 citation statements)

References 14 publications

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“…The concordance rate of MMSI (93.9%) over MSI (88.7%) was found to be statistically significant for all cytological categories. These findings are similar to those of Cherath and Chithrabhanu [10] and of Nandini et al [4]. …”

Section: Discussionsupporting

confidence: 82%

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Masood’s and Modified Masood’s Scoring Index: An Evaluation of Fine Needle Aspiration Cytology of Breast Lesions with Histopathological Correlation

et al. 2019

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Objective: As fine needle aspiration cytology (FNAC) is the primary tool for evaluation of breast lesions, it is essential to segregate lesions with low and high risk of malignancy. To address this, Masood proposed a cytological scoring system for categorization, Masood’s Scoring Index (MSI), which was modified later (Modified Masood’s Scoring Index [MMSI]). This study analyses the effectiveness of MMSI over MSI and assesses the concordance between cytological scoring and histopathology. Study Design: All breast FNACs over a period of 2 years were categorized based on MSI and MMSI by 2 reviewers independently. The agreement rate along with specificity, sensitivity, positive predictive value, negative predictive value and diagnostic accuracy were calculated. Correlation and concordance analyses between cytological and histopathological categories were conducted. Results and Discussion: Out of 415 cases of breast FNACs, histopathology was available for 310 for which MSI and MMSI were evaluated. The sensitivity, specificity, positive predictive value, negative predictive value and diagnostic accuracy were 95, 100, 100, 97.6 and 98.3%, respectively. The difference between the concordance rate of MSI and of MMSI for various cytological categories was found to be statistically significant. Conclusion: MMSI has a better concordance with histopathological diagnosis than MSI. MMSI can serve as a uniform standardized scoring system for breast cytology for better categorization of proliferative breast diseases.

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Section: Discussionsupporting

confidence: 82%

“…We observed a sensitivity and specificity of 95 and 100%, respectively, which was similar to Cherath and Chithrabhanu [10]; however, Masood et al [5] found a sensitivity of 85%. Diagnostic accuracy in our study was reported to be 98.3%, which is comparable to that reported by other authors (96–97.5%) [5, 10]. …”

Section: Discussionsupporting

confidence: 52%

Masood’s and Modified Masood’s Scoring Index: An Evaluation of Fine Needle Aspiration Cytology of Breast Lesions with Histopathological Correlation

et al. 2019

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“…Thus, a diagnostic accuracy of 84.6% was seen in this category. This is slightly less than the accuracy found in studies by Nandini et al [8] and Cherath et al [19]. This disparity can be accounted for due to the smaller sample size in our study.…”

Section: Discussioncontrasting

confidence: 81%

“…In category 2, nine discordant cases were observed, out of which 7 were cases of PBD with atypia, while the other 2 were cases of low-grade IDC. These cases represent the grey zone cases of cytology and are prone to potential pitfall [17,19].…”

Section: Discussionmentioning

confidence: 99%

Diagnostic Accuracy of the International Academy of Cytology Yokohama System versus the Modified Masood’s Scoring Index in Categorization and Diagnosis of Palpable Breast Lesions

Bhuyan¹,

Khound²,

Baruah³

et al. 2022

Acta Cytologica

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Introduction: Fine-needle aspiration cytology (FNAC) is a simple, minimally invasive, and effective tool that can be used to accurately diagnose benign and malignant lesions of the breast. The International Academy of Cytologists Yokohama system and Modified Masood’s Scoring Index (MMSI) are two important systems to categorize palpable breast lesions on FNAC. The goal of the present study was to evaluate the IAC Yokohama system and MMSI in the cytological diagnosis and classification of diverse breast lesions and to compare the diagnostic accuracy of both systems through cyto-histological correlation. Methods: A retrospective cross-sectional study was done within the 3-year period from 2019 to 2021. Seven hundred and ninety cases of FNAC breast lesions were included and were categorized following the recommendations by the International Academy of Cytologists Yokohama system and MMSI. The sensitivity, specificity, accuracy, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy for both systems were calculated, taking histopathology as the standard. Additionally, the risk of malignancy (ROM) of each category was calculated in the Yokohama system. Results: The IAC Yokohama system’s sensitivity, specificity, PPV, NPV, and diagnostic accuracy were 96.8, 95.8%, 96%, 96.6%, and 96.3%. The MMSI had sensitivity, specificity, PPV, NPV, and diagnostic accuracy of 95.8%, 98.4%, 98.3%, 96.1%, and 97.1%, respectively. The ROM for insufficient, benign, atypical, suspicious for malignancy, and malignant categories were 12.5%, 1.8%, 20%, 90.4%, and 97.5%, respectively. Conclusion: The categorization of breast lumps using the MMSI is more accurate and more specific in diagnosing malignant cases, and thus, the MMSI system is more precise and accurate at diagnosing malignant cases.

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“…Irshad et al[16] presented a survey on different feature extraction methods available for the histopathological image. Recently, Rekha et al and Cherath et al[44,45] proposed a modified scoring system for breast cancer grading. Authors in their research works have suggested six morphological features like cellular pleomorphism, cellular arrangement, myoepithelial cells, anisonucleosis, nucleoli, and chromatin clumping.…”

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confidence: 99%

Classification of Histopathological Images based on Modified Clump Splitting Approach

Ulle¹,

Nagabhushan²,

Manoli³

2018

IJCA

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The current research work aims to propose an improved clump splitting approach to classify breast cancer lesion based on extracting shape features. Identifying the number of benign and malignant nuclei in a given area of histopathological tissue is very important for the automated grading system. This process becomes difficult due to irregular size and shape of the nuclei leading to clump formation. Therefore, a major challenge lies in accurately separating these nuclei for further processing. Towards this end, there has been a well-focused research on accurate identification and extraction of nuclei based on concavity analysis. From exhaustive experimentations, it is observed that concavity based approaches pose several limitations: like identifying the concave point pair and selecting the valid split lines. Further, It is also observed from the literature that either region or edge based segmentation is the most commonly used method for segmenting nuclei. Experimental analysis showed that under or over-segmentation is the common problem with region-based methods. Since poor, unclear edges, noise and other artefacts are inevitable in histopathological images, the edge based method does not perform well. Therefore in this research work, a combination of both edge and region-based nuclei segmentation is proposed. The performance measure of the proposed method is evaluated on a dataset consisting of 1820 histopathological images. Further, in comparison with the existing methods, the proposed method showed the improved accuracy of 86%. Also, it is clearly seen from the ROC curve that the non-linear SVM outperforms other classifying methods.

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Evaluation of Masood’s and Modified Masood’s Scoring Systems in the Cytological Diagnosis of Palpable Breast Lump Aspirates

Cited by 5 publications

References 14 publications

Masood’s and Modified Masood’s Scoring Index: An Evaluation of Fine Needle Aspiration Cytology of Breast Lesions with Histopathological Correlation

Masood’s and Modified Masood’s Scoring Index: An Evaluation of Fine Needle Aspiration Cytology of Breast Lesions with Histopathological Correlation

Diagnostic Accuracy of the International Academy of Cytology Yokohama System versus the Modified Masood’s Scoring Index in Categorization and Diagnosis of Palpable Breast Lesions

Classification of Histopathological Images based on Modified Clump Splitting Approach

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