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Diabetes insipidus: An unusual presentation of adenocarcinoma of the lung in a patient with no identifiable lung mass

  • Shuchi Gulati(corresponding author)
    ,
  • Christoper Kiefer
    ,
  • Nagla Abdel Karim
*Corresponding author for this work
  • University of Cincinnati
Scholary Output:
Contribution to journal
Article
Research
Peer-review

Open access

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

Context: Lung cancers are known to metastasize to unusual sites. Despite this knowledge often times the diagnosis of a primary lung cancer gets delayed especially when the patient presents without respiratory symptoms. Case Report: The patient discussed in our review is a 47-year-old female, smoker who had presented to several hospitals with months of headache, nausea and intermittent episodes of vomiting. She was noted to have hypernatremia due to diabetes insipidus and a pituitary lesion on her magnetic resonance images. The pituitary mass on biopsy was found to represent a metastatic focus from a primary lung adenocarcinoma. Conclusion: Clinicians should be aware of malignancies that are well known to metastasize to the posterior pituitary. Conversely, since not every patient presents with symptoms of metastasis, there is a need to recognize the clinical syndromes (e. g., diabetes insipidus-like symptoms or more subtle symptoms like cranial nerve palsies) associated with potential metastasis to the pituitary.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Research
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 476-479 (4 pages)

Journal (Volume, Issue Number)

North American Journal of Medical Sciences (Volume 7, Issue 10)

Publication milestones

  • Published - 10/30/2015

Publication status

Published - 10/30/2015

ISSN

2250-1541

Publication IDs

  • Scopus: 84946088034

Publication metrics

Metrics

Scopus
citations
SciVal
Author count
3
SciVal
citations
1
SciVal
Paper percentile
33
Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1

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Captures
14
Citation count
2