29 research outputs found
Primitive neuroectodermal tumor: Report of two cases and review of the literature
AbstractJ Thorac Cardiovasc Surg 2002;124:833-
Predictive value of tumor load in breast cancer sentinel lymph nodes for second echelon lymph node metastases.
Background: The need for routine axillary lymph node dissection (ALND) in patients with invasive breast cancer and low-volume sentinel node (SN) involvement is questionable. Accurate prediction of second echelon lymph node involvement could identify those patients most likely to benefit from ALND.Methods: A consecutive series of 317 patients with invasive breast cancer and a tumor positive axillary SN followed by ALND was reviewed. Clinicopathologic features of the primary tumor and the SN were assessed as possible predictors of second echelon lymph node involvement.Results: Second echelon metastases were found in 116/317 cases (36.6%). Frequency of second echelon lymph node involvement in patients with isolated tumor cells (ITC, N=23), micro- (N=101) and macrometastases (N=193) was 13%, 20% and 48%, respectively (
The Microanatomic Location of Metastatic Breast Cancer in Sentinel Lymph Nodes Predicts Nonsentinel Lymph Node Involvement
Background: The majority of sentinel node (SN) positive breast cancer patients do not have
additional non-SN involvement and may not benefit from axillary lymph node dissection
(ALND). Previous studies in melanoma have suggested that microanatomic localization of SN
metastases may predict non-SN involvement. The present study was designed to assess whether
these criteria might also be used to be more restrictive in selecting breast cancer patients
who would benefit from an ALND.
Methods: A consecutive series of 357 patients with invasive breast cancer and a tumorpositive
axillary SN, followed by an ALND, was reviewed. Microanatomic SN tumor features
(subcapsular, combined subcapsular and parenchymal, parenchymal, extensive localization,
multifocality, and the penetrative depth from the SN capsule) were evaluated for their predictive
value for non-SN involvement.
Results: Non-SN metastases were found in 136/357 cases (38%). Microanatomic location
and penetrative depth of SN metastases were significant predictors for non-SN involvement
(<0.001); limited penetrative depth was associated with a low frequency of non-SN
involvement with a minimal of 10%.
Conclusions: Microanatomic location and penetrative depth of breast cancer SN metastases
predict non-SN involvement. However, based on these features no subgroup of patients could
be selected with less than 10% non-SN involvement