Staging PET–CT Scanning Provides Superior Detection of Lymph Nodes and Distant Metastases than Traditional Imaging in Locally Advanced Breast Cancer View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2016-08

AUTHORS

Pankaj Kumar Garg, Suryanarayana V. S. Deo, Rakesh Kumar, Nootan Kumar Shukla, Sanjay Thulkar, Ajay Gogia, Daya Nand Sharma, Sandeep R. Mathur

ABSTRACT

BACKGROUND: This study was designed to evaluate the role of a single 18-FDG positron emission tomography and computed tomography (PET-CT) scan in comparison to multiple organ-directed conventional investigations (CI) as a staging tool in locally advanced breast cancer (LABC) to detect regional and distant metastasis. METHODS: All eligible patients were subjected to CI (chest X-ray, abdominal sonography, and bone scintigraphy) followed by a single 18-FDG PET-CT scan. Standard imaging criteria were used for diagnosis of metastasis. Histopathological confirmation was undertaken for suspicious lesions. An exploratory analysis was done to assess the impact of PET-CT on the staging of LABC and how it resulted in a change in management. RESULT: The study included 79 patients of LABC. PET-CT detected distant metastasis in 36 (45.5 %) patients while CI could identify distant metastasis in 20 (25.3 %) patients. Two of the 36 patients in whom PET-CT detected distant metastasis were false positive. Overall PET-CT upstaged the disease in 38 (48.1 %) patients as compared to CI: stage III to stage IV migration in 14 (17.7 %) patients due to identification of additional sites of distant metastasis, and within stage III upstaging in 24 (30.3 %) patients due to identification of additional regional lymphadenopathy. PET-CT led to a change in management plan in 14 (17.7 %) patients. CONCLUSION: PET-CT has a role in identifying additional sites of regional lymphadenopathy and distant metastasis to upstage the disease in a significant number of LABC patients in comparison to CI; this would help in accurate staging, selecting optimal treatment, and better prognostication of disease. More... »

PAGES

2036-2042

References to SciGraph publications

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URI

http://scigraph.springernature.com/pub.10.1007/s00268-016-3570-6

DOI

http://dx.doi.org/10.1007/s00268-016-3570-6

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https://app.dimensions.ai/details/publication/pub.1010842678

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/27220508


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