21 research outputs found
Comparison of the study populations’ characteristics and affected lymph nodes.
<p>Comparison of the study populations’ characteristics and affected lymph nodes.</p
A 27-year-old woman with KD.
<p>(A, B) Conglomerated unilateral cervical lymphadenopathies are shown on axial and coronal CT scans, with homogeneous, strong cortical enhancement and mild perinodal infiltration. The mean NCA and NCA/M are 116.0 and 1.71, respectively. The enhancement pattern in this patient is categorized as group 1.</p
A 46-year-old woman with TL.
<p>(A, B) Multiple conglomerated necrotic cervical lymphadenopathies with perinodal infiltration are shown (circle). The enhancement pattern in this patient is categorized into group 4. The mean NCA and NCA/M could not be measured.</p
A 36-year-old man with TL.
<p>(A-C) Multiple necrotic (dotted arrows) and nonnecrotic (solid arrows) cervical lymphadenopathies with mild perinodal infiltration are shown. The largest necrotic LNs are located in the right supraclavicular area. The enhancement pattern in this patient is classified as group 3. The mean NCA and NCA/M of nonnecrotic LN are 99.7 and 1.33, respectively.</p
Comparison of the nonnecrotic portion of lymph nodes in the three groups.
<p>Comparison of the nonnecrotic portion of lymph nodes in the three groups.</p
A 23-year-old man with RH.
<p>(A, B) Several enlarged lymph nodes are shown without definite conglomeration nor perinodal infiltration. Mild and homogeneous cortical enhancement is noted. The mean NCA and NCA/M are 101.0 and 1.51, respectively. The enhancement pattern for this patient is classified as group 1.</p
A 35-year-old woman with KD.
<p>(A, B) Conglomerated necrotic (dotted arrows) and nonnecrotic (solid arrows) cervical lymph nodes are shown on CT scan. Obvious perinodal infiltration and fascial thickening (arrow heads in B) are noted. The mean NCA and NCA/M are 138.0 and 1.66, respectively. This enhancement pattern is classified as group 3.</p
Multiple logistic regression analysis of CT findings to discriminate KD from RH.
<p>Multiple logistic regression analysis of CT findings to discriminate KD from RH.</p