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Headlines:
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Breast cancer
Staging and prognostic factors
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Breast Cancer News |
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Breast Cancer |
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Staging techniques -
Bone metastasis
(80%)
1. Bone scan
The bone scan can detect an abnormality
prior to the radiograph becoming abnormal. Abnormal areas of
accumulation are
seen related to osteoblastic activity. Purely lytic
lesions such as multiple myeloma may be
missed on the bone scan.
Benefits
- Bone scans are quite sensitive (70%) for the detection
of metastatic disease, but the specificity is lower
than the sensitivity (60%), hence the need for correlation
with plain radiographs and CT.
The poor specificity is because any process involving bone
will result in increased bone turnover and an
abnormality on the bone scan. Thus, inflammatory,
traumatic, and metabolic abnormalities will
result in increased areas of localization on the
bone scan.
2. Bone X-ray
Compared with other imaging techniques, radiography is relatively
insensitive in detecting bone metastases, especially subtle lesions.
Benefits
-
Can detect lesions that are 2 cm or larger.
Metastases to bone become apparent on radiographs only after the
loss of more than 50% of the bone mineral content at the site of
disease.
-
Useful in confirmation of lesions that are detected
by bone scan.
3. CT scan of bone lesion
CT scans of the bone is useful in detection of
metastasis or confirmation of bone lesions detected by bone scan.
Benefits
4. MRI of the bone
Benefits
5. PET scan for bone lesions
Benefits
- FDG PET has the highest sensitivity in detecting bone
metastasis: 90%. Its specificity approaches 100%.

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Pulmonary metastasis (25%)
1. Chest x-ray
A chest radiograph in two planes is indicated on a regular basis
to screen for metastatic disease in the follow-up of patients with
primary tumors that preferentially spread to the lungs.
Benefits
- Sensitivity and specificity for chest radiography were 50
and 90%, respectively for nodules >5mm.
- It more accurately detects a 1-cm nodules 1cm or greater.
2. Chest CT
When metastatic nodules are identified, helical computed
tomography (CT) of the chest should be performed to assess
their number and characteristics.
Benefits
- A high-resolution CT scan can identify
nodules 3 mm in diameter.
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CT has an overall sensitivity 62% in detecting
pulmonary nodules (all sizes). However it underestimated the extent of the disease in 25%, and overestimated
the extent of the disease in 14%.
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Sensitivity is increased to 95% for
intrapulmonary nodules ≥ 6 mm and 100% for intrapulmonary nodules >
10 mm.
The limitations of CT scan in this study
were mainly associated with pleural-based nodules and intrapulmonary
nodules < 6 mm.
Liver metastasis (20%)
1. Ultrasonography of the liver
Ultrasonography is inexpensive and readily available, but its
value compared to single-slice helical CT (SSCT), MSCT, and MRI is
limited as a consequence of reduced sensitivity and specificity.
In general, the US appearance of liver metastases is nonspecific.
Benefits
-
Sensitivity is operator dependent. It is valuable,
inexpensive, quick, and portable, and it can depict lesions as
small as 1 cm with a sensitivity approaching 80%.
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The specificity of US in detecting liver metastases
is poor, and its overall false-negative rate is 50%. However,
the presence of multiple hepatic nodules of different sizes
within the liver is nearly always due to metastases.
2. Abdominal CT
CT is the most sensitive technique for the detection of liver
metastases.
Benefits
- Contrast-enhanced scans offer a high degree of sensitivity,
as high as 80-90%. The specificity is 99%.
Brain metastasis (15%)
Screening for brain metastasis is not routinely done in breast
cancer and is only done for those with symptoms suggestive of brain
involvement.
1. CT scan of the brain
CT scan of the brain is currently the method of choice in
screening for brain metastasis. Patients with multiple lesions are
even more likely to have metastatic disease. Prior to definitive
therapy, patients with a single metastasis by contrast-enhanced CT
should undergo a contrasted MRI examination, if available.
Benefits
- 92% sensitivity, 99% specificity
2. MRI of the brain
Gadolinium-enhanced MRI is superior to contrast-enhanced CT in
the diagnosis of brain metastases. It is particularly useful in
patients shown to have a single metastasis by contrast-enhanced CT
prior to definitive therapy.
3. FDG-PET for brain lesions
FDG-PET is not considered superior to CT or MRI in the initial
evaluation of suspected brain metastases.
Benefits
- Sensitivity of 90% but low specificity. Neoplasm,
inflammation, vascularity, or trauma may cause the abnormal
uptake.
Staging of breast cancer
Prognosis (Risk factors for recurrence)
The challenge for the clinician is to determine which patients have
the highest risk of recurrence and, thus, are most likely to benefit from
adjuvant therapy. In this chapter, we will detail the prognostic factors
that affect whether adjuvant therapy is indicated and then describe the
various adjuvant treatments that are available.
Memory Aid for breast cancer prognostic
factors:
(HrGAT - Hormone receptor, Grade, Age, Tumor)
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HR |
Grade |
Age |
Tumor |
| Low risk |
+ve |
I |
>=35 |
<=1cm |
| Interm. risk |
+ve |
I,II |
>=35 |
1-2cm |
| High risk |
-ve |
II,III |
<35 |
>2cm |
HER-2/neu oncogene: Overexpression of the HER-2/neu oncogene
reflects an increase in the proliferative activity of a tumor. Overexpression
has been demonstrated in 15% to 30% of patients with breast cancer and
has been found by most investigators to be associated with shorter survival.
Ploidy and S-phase fraction: The degree of cellular proliferation
in breast cancer specimens has shown a strong correlation with outcome.
DNA ploidy is the DNA content and number. S-phase fraction is the fraction
of cells actively cycling or synthesizing DNA. Aneuploid (those with abnormal
DNA content and number) tumors with a high percentage of cells in S-phase
are more likely to recur than are tumors with a low S-phase fraction.
Prognostic factors currently under investigation
- Angiogenesis markers
- Histologic subtype
- Lymphatic invasion
- Epidermal growth factor receptor
- Ki-67
- pS2
- Stress response proteins
- Type IV collagenases
- nm23
- p53
- Plasminogen activators
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