Clinical Value of Mammography in Diagnosis and Identification of breast Mass

Zhang, Dongliang; Zhang, Shanhua; Wang, Hongtao; Zhu, Rong-guang

doi:10.12669/pjms.324.9384

Cited by 19 publications

(13 citation statements)

References 10 publications

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“…Infiltrating ductal carcinoma was the most frequent type of BC found in our study, which is quite in line with studies conducted in different regions in other countries. 18,19 MMG confirms malignant lesion based on the shape, size, margins of lump and number and distribution of calcification. In our study, we confirmed malignant cases through irregular shape and well-defined margins of the lesions.…”

Section: Discussionmentioning

confidence: 84%

Accuracy of mammography and sonomammography and its correlation with histopathology in the detection of breast cancer

Yamakanamardi

Hiremath

2021

Int Surg J

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Background: Mammography (MMG) plays a pivotal role in the early diagnosis of breast cancer (BC). However, it is sometimes difficult to use it to diagnose palpable breast lesions among young patients. Ultrasound can be used as an adjunct in differentiating cystic and solid masses. Studies evaluating the combination of MMG and sonomammography (SMG) as an adjunct to detect Breast cancer, are quite scarce in the literature. This study aimed to assess the accuracy of MMG and to comprehend the role of ultrasound as an adjunct to MMG for finding breast lesions.Methods: Women attending the outpatient department (OPD) with complaints of breast lump, or those undergoing MMG screening were included. All patients then subsequently underwent MMG, SMG and biopsy. MMG and SMG findings were then correlated with the histopathology results.Results: Irregular shape and calcifications (MMG) and hypoechoic pattern (SMG) were found to be significant features differentiating malignant from benign lesions. Calcifications in benign tumors were observed 5.05 times less frequently than in malignant tumors. MMG combined with SMG had a sensitivity of 90.4%, specificity of 82.4%, positive and negative predictive value of 95% and 67% respectively, along with an accuracy of 88.9% in differentiating benign from malignant masses.Conclusions: SMG used as an adjunct to MMG is a reliable modality, especially in detecting lesions that are not picked up on MMG, including intraductal papilloma and duct ectasia.

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Section: Discussionmentioning

confidence: 84%

Accuracy of mammography and sonomammography and its correlation with histopathology in the detection of breast cancer

Yamakanamardi

Hiremath

2021

Int Surg J

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“…While necessary to remove these irregularities, acknowledging they are likely to be a source of increased false positives, it is important to limit the number of points discarded, to avoid tumors close to the nipple or chest wall being missed. Tumors developing near the chest wall are also an existing challenge in mammography due to difficulties in obtaining sufficient breast compression close to the chest wall to allow x-ray penetration ( 49 ).…”

Section: Methodsmentioning

confidence: 99%

Breast cancer diagnosis using frequency decomposition of surface motion of actuated breast tissue

Fitzjohn

Zhou²,

Chase³

2022

Front. Oncol.

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This paper presents a computationally simple diagnostic algorithm for breast cancer using a non-invasive Digital Image Elasto Tomography (DIET) system. N=14 women (28 breasts, 13 cancerous) underwent a clinical trial using the DIET system following mammography diagnosis. The screening involves steady state sinusoidal vibrations applied to the free hanging breast with cameras used to capture tissue motion. Image reconstruction methods provide surface displacement data for approximately 14,000 reference points on the breast surface. The breast surface was segmented into four radial and four vertical segments. Frequency decomposition of reference point motion in each segment were compared. Segments on the same vertical band were hypothesised to have similar frequency content in healthy breasts, with significant differences indicating a tumor, based on the stiffness dependence of frequency and tumors being 4~10 times stiffer than healthy tissue. Twelve breast configurations were used to test robustness of the method. Optimal breast configuration for the 26 breasts analysed (13 cancerous, 13 healthy) resulted in 85% sensitivity and 77% specificity. Combining two opposite configurations resulted in correct diagnosis of all cancerous breasts with 100% sensitivity and 69% specificity. Bootstrapping was used to fit a smooth receiver operator characteristic (ROC) curve to compare breast configuration performance with optimal area under the curve (AUC) of 0.85. Diagnostic results show diagnostic accuracy is comparable or better than mammography, with the added benefits of DIET screening, including portability, non-invasive screening, and no breast compression, with potential to increase screening participation and equity, improving outcomes for women.

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“…about clinical value of mammography in diagnosis and identification of breast tumors, mentioned that the sensitivity, specificity and accuracy of mammography was 90.80%, 84.60%, and 87.40%, which means that mammography has a significant clinical value in diagnosing and identifying breast tumors. [10] The diagnosis of breast abnormalities imaging used the Breast Imaging and Reporting System (BI-RADS) mammography which was proposed by the American College of Radiology (ACR) in 1993, and currently the latest edition of BI-RADS is the 5th edition published in 2013. [11] Based on BI-RADS 5th edition, BI-RADS assessment are categorized from 0 to 6, in which 0 means incomplete, 1 means negative, 2 means benign findings, 3 means probably benign, 4 means suspicious abnormality, 5 means highly suspicious of malignancy , and 6 means known biopsy proven malignancy.…”

Section: Introductionmentioning

confidence: 99%

Characteristic of Mammography Compared With Histopathology Result at Rsup Dr. Kariadi

Sari

Kuntjoro

Wikanta

et al. 2021

DMJ

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Background: Breast tumors are common lesions found in women.[1] Mammography is Food and Drugs Administration (FDA) approved modality for screening and diagnosing breast tumor.[2,3] Aim: To know the characteristic and comparison of mammography results with histopathology diagnosis as the gold standard in breast tumor patients at RSUP Dr. Kariadi. Methods: This research used the diagnostic test method. Data were taken from medical records in RSUP Dr. Kariadi, Semarang from 2017 to 2019 with sa consecutive sampling method. The collected samples were 55 mammography imaging. Next, the data were described as frequency distribution and percentages, and then the diagnostic test values were counted. Result: Benign breast tumor in RSUP Dr. Kariadi was found in 40-50 years old patients with 77,8% oval-shaped and 72,2% circumscribed margin mass seen in the mammogram, while breast cancer was found in >50 years old patients with 57,1% irregular-shaped and 54,3 spiculated margin mass seen in the mammogram. Mammography in RSUP Dr. Kariadi has 89% sensitivity, 89% specificity, 94% positive predictive value, 81% negative predictive value, and 89% accuracy. Conclusion: Benign breast tumor in RSUP Dr. Kariadi mostly found in 40-50 years old patients with oval-shaped and circumscribed margin mass seen in the mammogram, while breast cancer is mostly found in >50 years old patient with irregular shape and spiculated margin mass seen in the mammogram. The diagnostic test score of mammography in RSUP Dr. Kariadi is high.

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Clinical Value of Mammography in Diagnosis and Identification of breast Mass

Cited by 19 publications

References 10 publications

Accuracy of mammography and sonomammography and its correlation with histopathology in the detection of breast cancer

Accuracy of mammography and sonomammography and its correlation with histopathology in the detection of breast cancer

Breast cancer diagnosis using frequency decomposition of surface motion of actuated breast tissue

Characteristic of Mammography Compared With Histopathology Result at Rsup Dr. Kariadi

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