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Hyperdense pelvic and inguinal lymph nodes.

E L Simpson1, B G Coleman, P H Arger

  • 1Hospital of the University of Pennsylvania, Department of Radiology, Philadelphia 19104.

The Journal of Computed Tomography
|January 1, 1988
PubMed
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Computed tomography revealed hyperdense iliac, inguinal, and femoral lymph nodes in cancer patients. These nodes showed a mean attenuation of 93.8 Hounsfield units (HU), distinct from surrounding tissues.

Area of Science:

  • Radiology
  • Oncology
  • Medical Imaging

Background:

  • Lymph node appearance on computed tomography (CT) can indicate malignancy.
  • Hyperdensity in lymph nodes may suggest specific pathological processes.
  • Understanding CT characteristics aids in cancer diagnosis and staging.

Purpose of the Study:

  • To describe the computed tomography (CT) appearance of hyperdense lymph nodes in the iliac, inguinal, and femoral regions.
  • To compare the CT attenuation values of these hyperdense lymph nodes with adjacent tissues.
  • To investigate potential causes for the observed homogeneous enhancement pattern.

Main Methods:

  • Retrospective analysis of computed tomography (CT) scans from six patients.
  • Included cases of lymphoma (4) and metastatic carcinoma (ovarian 1, breast 1).

Related Experiment Videos

  • Measurement of lymph node attenuation values in Hounsfield units (HU) and comparison with adjacent muscle and blood vessels.

    • Main Results:

    • A series of six patients presented with hyperdense iliac, inguinal, and femoral lymph nodes on CT.
    • The mean CT attenuation value of these lymph nodes was 93.8 HU.
    • A homogeneous enhancement pattern was observed, not clearly linked to hypervascularity, inflammation, or prior treatments.

    Conclusions:

    • Hyperdense iliac, inguinal, and femoral lymph nodes observed on computed tomography (CT) can be associated with lymphoma and metastatic carcinoma.
    • The measured attenuation values (mean 93.8 HU) provide a quantitative descriptor for these findings.
    • The homogeneous enhancement pattern warrants further investigation to determine its specific etiology in oncological imaging.