The silent killer in women: Utilizing CT to identify

Transcription

The silent killer in women: Utilizing CT to identify
The silent killer in women: Utilizing CT to identify and characterize
malignant ovarian neoplasm and malignant spread
Nadia Khan, M.D., Grygori Gerasymchuk, M.D.
Epidemiology
Ovarian cancer is fifth most common gynecologic
malignancy and is the leading cause of cancer death
in women 1. According to American Cancer Society,
the overall 5-year survival rate for all ovarian cancers
is 44% 2.
Pathology
Ovarian cancer is sporadic in 90% of the cases. The
other 10% are due to hereditary syndromes such as
BRCA-1 and BRCA-2 mutations and Lynch syndrome
II 1.. Ovarian tumors are categorized on the basis of
tumor origin as epithelial, germ cell, sex cord–
stromal, or metastatic 3.
Imaging features on grayscale ultrasound will show
thick septations, echogenic mural nodularity or
papillary projections in cystic mass. There may also
be a solid component with cystic mass. Color Doppler
will help identify vascularity in complex cystic mass.
Non-enhanced CT identifies cystic adnexal mass with
septations and soft tissue density with papillary
projections. There will be enhancement of mural
nodule on contrast enhanced CT. CT also facilitates
detection of peritoneal implants and distant
metastasis. On T1WI MR there may be low to
intermediate signal intensity mass or high signal due
to fat or hemorrhage. Cystic masses will be high
signal on T2WI and intermediate T2WI signal within
mural nodules. T1WI with contrast enhancement
facilitates detection of papillary projections in cystic
mass, tumor necrosis and peritoneal implants 1.
Management includes CT of abdomen and pelvis for
pre-operative staging. CT is also used to follow-up
after treatment. Treatment of malignant ovarian
cancer includes surgical cytoreduction, chemotherapy
and radiation 1.
St. Joseph Mercy – Oakland
CT features of Malignant Ovarian Mass
Imaging features of malignant tumors include solid-cystic complex mass, thick, irregular wall; thick septations;
papillary projections in a cystic lesion, and a larger size of the lesion.
Figure 1.
Contrast-enhanced coronal and axial
images demonstrating a large lobulated
complex solid-cystic mass with thick
wall and septations in the left adnexa.
This was papillary serous
adenocarcinoma with metastasis.
Figure 2.
Contrast enhanced axial images
demonstrating large cystic mass with
internal papillary projections, located
in the pelvis. This was mixed
endodermoid and serous epithelial
tumor originating from bilateral
ovaries.
Figure 3.
Contrast enhanced coronal and axial
images demonstrate large multilobulated solid and cystic mass with
thick, some irregular walls in the
pelvis. This was a mixed mullerian
cancer of ovarian origin, which is
classified as an epithelial tumor.
Figure 4.
Contrast-enhanced axial and coronal
images demonstrating large cystic mass
with enhancing mural nodule in right
adnexa. This was a mucinous cancer of
right ovary.
Department of Radiology
CT features of Metastasis
Metastatic findings include peritoneal thickening and
peritoneal masses frequently associated with ascites.
Presence of lymph node metastasis is an important
prognostic indicator 3.
Figure 5, 6, and 7.
Contrast-enhanced axial and
coronal images demonstrate
large amount of ascites in the
peritoneal cavity encasing intraabdominal structures. There is
nodular thickening and
peritoneal masses as well as
omental caking.
Conclusion
Computed Tomography remains the modality of
choice for pre-operative staging to determine if
patients are candidates for neo-adjuvant therapy prior
to surgery . CT has also been used for post-therapy
surveillance 1. Prompt recognition of malignant
ovarian tumor and metastatic involvement is crucial
for any radiologist.
References
1. Akin, Oguz. “Ovarian mass, characterization and staging”. Retrieved from
www.statdx.com on 9/12/2013.
2. Retrieved from www.britannica.com titled “Ovarian cancer”.
3. Jung, E. Seung, et.al. ‘CT and MR imaging of ovarian tumors with
emphasis on differential diagnosis”. Radiographics, November 2002, 13051325.
4. Jeong, Young-Yeon. “Imaging evaluation of Ovarian masses”.
Radiographics, September 2000, 1445-1470.
Pontiac, Michigan

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