Peran Mammografi Untuk Skrining  Kanker Payudara:  Sebuah Tinjauan Pustaka

Soekersi, Hari; Azhar, Yohana; Akbari, Kiran Shadentyra

doi:10.47830/jinma-vol.72.3-2022-627

Cited by 3 publications

(3 citation statements)

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“…It is important to note that examining experts must be alert to overdiagnosis, especially when a patient is diagnosed with breast cancer after screening but there are no clinical signs or life-threatening conditions. This can be fatal due to the effects of radiation received and inappropriate therapy (Soekersi et al, 2022).…”

Section: Discussionmentioning

confidence: 99%

Comparative Study of Mass Shape Based on BI-RADS Mammography Classification with Histopathological Grading in Breast Cancer

Sabrina,

Mardiyana,

Atika

2023

IJRP

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Background: Breast cancer can be diagnosed using imaging modalities and histopathology. The description of the mass shape found via mammography needs to be confirmed by an anatomical pathology examination. Therefore, research regarding the comparison of mass shape based on BI-RADS mammography classification with histopathological grading of breast cancer patients is important. Objective: Analyzing the differences in mass shape based on the BI-RADS mammography classification between histopathological grading of breast cancer patients at Dr. Soetomo General Hospital Surabaya. Method: This type of research is an analytical observational study with a comparative approach using patient medical records in the form of age data, mammography examinations of breast cancer patients who were diagnosed based on histopathology results at Dr. Soetomo General Hospital Surabaya during the period January 2017 to December 2021. Results: Total breast cancer samples at Dr. Soetemo General Hospital Surabaya for the period January 2017 to December 2021 is 229 data. Breast cancer patients are dominated by the age group 40 -49 years (37.6%), the majority of masses are found in the right breast (54.1%), the shape of the mass is predominantly irregular (86.5%), the most histopathological grading is in grade 3 (53.3%), and the comparison of mass shape between histopathological grading had a value of p = 0.137 (p > 0.05). Conclusion:Breast cancer patients at Dr. Soetomo General Hospital Surabaya for the period January 2017 to December 2021 is dominated by the 40 -49 year age group. Most of the masses were in the right breast. The most common mass shape found was irregular and the most frequent histopathological grading was grade 3. There were no differences in mass shape between histopathological gradings.

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Section: Discussionmentioning

confidence: 99%

Comparative Study of Mass Shape Based on BI-RADS Mammography Classification with Histopathological Grading in Breast Cancer

Sabrina,

Mardiyana,

Atika

2023

IJRP

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“…In Indonesia, BC has been a prodigious healthcare problem, as it is the most diagnosed cancer according to the World Health Organization (WHO) in 2020 [1,2]. Compared to other Southeast Asian countries, Indonesia was recorded for having the most newly diagnosed advanced stadium BC, affecting a poor prognosis and aggravating the healthcare burden [3][4][5]. These long-term issues were induced via low awareness of BC screening and education regarding the importance of mammography as an initial BC screening [2].…”

Section: Introductionmentioning

confidence: 99%

Breast Self-Examination Practice and Its Determinants among Women in Indonesia: A Systematic Review, Meta-Analysis, and Meta-Regression

et al. 2023

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Breast cancer (BC) is a heavy burden for Indonesian healthcare, but there is still no thorough evaluation for Breast self-examination (BSE) practice as routine BC screening. In this study, we aimed to synthesize the pooled prevalence data of BSE practice, compare BSE practice prevalence between Java Island and non-Java Islands in Indonesia, and identify the determinants that we thought could affect the BSE practice in the Indonesian population. Intensive searches were conducted in Cochrane Library, PubMed, Google Scholar, and SINTA (Indonesian Web of Science and Technology Index) from September 2017–2022. We utilized Review Manager 5.4 for conducting the meta-analysis. We found the overall national prevalence of BSE practice was 43.14% (95% CI: 36.08, 50.20, p < 0.00001). BSE practice in Java Island was higher compared to non-Java Island (44.58% vs. 41.62%). The highest prevalence of BSE practice was found among university students, with a 49.90% prevalence. Good knowledge, good attitude toward BSE, family history of BC, family support, and BC information exposure were all statistically associated with a higher determinant of BSE practice. We concluded that BSE practice in Indonesia is still low, especially in non-Java Islands. Integrative and collaborative programs should be established to promote BSE as routine screening for BC.

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“…Furthermore, tumor can be classified as benign or malignant [2]. In [3] author developed Natives Bayess Classification(NBC) classification model for breast cancer to diagnose patients so they may get life-saving treatments accurately. Consequently, a good classification model can lower the mortality of women from cancer.…”

Section: Introductionmentioning

confidence: 99%

Breast Cancer Classification using Random Forest Algorithm

Batool,

Byun

2023

J. Phys.: Conf. Ser.

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This study uses detect breast cancer based on Random Forest (RF). It is crucial to diagnose the illness to identify treatment solutions closely linked to patient safety. Breast cancer is diagnosed using past medical records and various classification methods used in data mining fields today. Each technique performs differently depending on the input feature types and model parameters. Neutral Networks have been proven to be more effective in data analysis and pre-diagnosis without requiring medical knowledge. The study reduces diagnostic variance and increases diagnostic accuracy by overcoming the limitation of individual models. The Random Forest model had a training and validation accuracy of 90% and 91%.

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Peran Mammografi Untuk Skrining Kanker Payudara: Sebuah Tinjauan Pustaka

Cited by 3 publications

References 0 publications

Comparative Study of Mass Shape Based on BI-RADS Mammography Classification with Histopathological Grading in Breast Cancer

Comparative Study of Mass Shape Based on BI-RADS Mammography Classification with Histopathological Grading in Breast Cancer

Breast Self-Examination Practice and Its Determinants among Women in Indonesia: A Systematic Review, Meta-Analysis, and Meta-Regression

Breast Cancer Classification using Random Forest Algorithm

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