Triple assessment in the diagnosis of breast cancer in Kashmir
Open accessAbstract
Background Although the diagnosis of breast cancer is suggested on clinical examination, the degree of suspicion is variable. Currently a combination of three tests, i.e. clinical examination, radiological imaging (mammography, ultrasonography) and pathology called as triple assessment test is used to accurately diagnose all palpable breast lumps. Together they give sensitivity of 99%. The triple assessment is taken as positive if any of the three components is positive and negative only if all of its components are negative for malignancy. Materials and methods This study was conducted in the Department of Surgery, Government Medical College, Srinagar, Kashmir over a period of 3 years from June 2005 to May 2008. A total of 200 patients with a breast lump were selected irrespective of age. A detailed history, focused clinical examination, radiological imaging and fine-needle aspiration cytology (FNAC) were used as diagnostic tools for screening of the patients. The aim of this study was to evaluate accuracy of triple assessment in the preoperative diagnosis of patients with breast carcinoma. Results The sensitivity and specificity of all the modalities used in triple assessment when combined together was 100% and 99.3%, respectively. The concordance for the triple assessment was 99.3%, positive predictive value was 93.3%, negative predictive value was 100%, sensitivity was 100% and specificity was 99.3%. p value was significant (0.000). Conclusion We conclude that triple assessment is a very useful diagnostic tool to evaluate patients with breast lumps and to detect patients with breast cancers with an overall accuracy of 99.3%.
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FNAB has been further implemented in numerous LMICs for diagnosis and guiding clinical management of palpable breast lesions.
“With the success of the FNAB in diagnosis and guiding clinical management of palpable breast lesions, this biopsy method has been further implemented in numerous LMICs.[30][31][32][33][34][35]”
From Fine needle aspiration biopsy in low‐ and <scp>middle‐income</scp> countries (2024) · cites this paper as [30]
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References 14 · Cited by 38
- Authors
- Jan, M., Mattoo, J. A., Salroo, N. A., & Ahangar, S.
- Affiliations
- Government Medical College (IN)
- Sher-i-Kashmir Institute of Medical Sciences (IN)
- Corresponding author
- Jan, Masooda
- Venue
- Indian Journal of Surgery
- Published
- 2010-04
- Volume
- 72
- Issue
- 2
- Pages
- 97-103
- ISSN
- 0972-2068 (ISSN-L)
- 0973-9793
- PMC
- PMC3452506
- OpenAlex
- W2033520236
- Cited by
- 38
- References
- 14
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 4 · 2023: 2 · 2022: 3 · 2021: 2 · 2020: 5 · 2019: 3 · 2017: 3 · 2016: 2 · 2015: 5 · 2014: 6 · 2012: 1
- FWCI
- 0.22
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Indian Journal of Surgery (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pathology and Forensic Medicine › Breast Lesions and Carcinomas
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Breast Cancer Treatment Studies
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- triple assessment, breast cancer diagnosis, breast mass, mammography, breast ultrasound, fine needle aspiration cytology, diagnostic accuracy, sensitivity and specificity, preoperative diagnosis, Kashmir
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