Evidence map›Paper›PMID 35309656›Full record

ArticleJournal of family medicine and primary care2022

To assess the feasibility and diagnostic accuracy of preoperative ultrasound and ultrasound-guided fine needle aspiration cytology of axillary lymph nodes in patients of breast carcinoma.

Somendra P Singh, Shashi P Mishra, Vipin Gupta, Shailendra P Singh, Poonam Gupta, Ram L Verma, Nadeem Akram

Open access · goldAbstract read
In one paragraph

Article in Journal of family medicine and primary care, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 64% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Somendra P SinghDepartment of Surgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.
Shashi P MishraDepartment of General Surgery, Institute of Medical Sciences, Banaras Hindu University, Varanasi, Uttar Pradesh, India.
Vipin GuptaDepartment of Surgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.
Shailendra P SinghDepartment of Surgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.
Poonam GuptaDepartment of Surgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.
Ram L VermaDepartment of Surgery, Uttar Pradesh University of Medical Sciences, Saifai, Etawah, Uttar Pradesh, India.
Nadeem AkramDepartment of Surgery, Integral Institute of Medical Sciences and Research, Lucknow, Uttar Pradesh, India.
Adesh University · INInstitute of Medical Sciences · INIntegral University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Metastasis of the lymph node is one of the most significant prognostic factors for breast cancer (BC). Aim: To predict positivity of the lymph node in BC patients with help of USG and USG-guided FNAC and thus to prevent unnecessary morbidity. Methods: 50 patients of incisional/true cut biopsy-proven BC patients were included. All were subjected to mammography, USG and FNAC of the lump breast. USG-guided FNAC of the axillary lymph node was done in 25 of these patients. These findings were assessed by histological examination following dissection of the axillary lymph node. Results: Axillary lymph node (ALN) metastasis was present in 42 patients on histopathology; 21 patients suspicious of malignancy on preoperative USG were confirmed by HPE. Out of 88 confirmed lymph nodes evaluated on ultrasonography, 4 were benign, 18 were indeterminate and 66 were suspicious. The most promising features were tumour length/depth ratio of <1.5 in 81, absent fatty hilum in 73% and hypoechoic cortex in 74%. Assessment of axilla with USG had a sensitivity of 50%, a specificity of 100%, a PPV of 100%, an NPV of 27.59% and a diagnostic accuracy of 58%. Preoperative USG-guided FNAC had a sensitivity of 91.67%, a specificity of 100%, a PPV of 100%, an NPV of 33.33% and a diagnostic accuracy of 92%. Conclusion: USG can detect non-palpable axillary lymph nodes and FNAC can increase the sensitivity and specificity of this technique, which makes this procedure very promising in detecting axillary metastases in BC patients.

Indexed as

Axillary lymph nodesaxillary metastasisbreast cancerfine needle aspiration cytologyultrasonography

Identifiers

PMID35309656
PMCPMC8930130
OpenAlexW4210312989

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LicenceCC BY-NC-SA
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