Pseudoangiomatous stromal hyperplasia (PASH) of the breast: intraductal appearance.

Pseudoangiomatous stromal hyperplasia (PASH) is a benign proliferative lesion of breast stroma. The diagnosis of PASH can be made using imaging techniques such as ultrasound, magnetic resonance or mammography. Ductoscopy is a relatively new technique which is used for imaging the intraductal surface. We report a patient with PASH in whom ductoscopy was performed successfully.

Can nomograms predict non-sentinel lymph node metastasis after neoadjuvant chemotherapy in sentinel lymph node-positive breast cancer patients?

BACKGROUND: The predictive probability of breast cancer nomograms for non-sentinel node metastases (NSLNM) after neoadjuvant chemotherapy (NCT) in patients with a positive sentinel lymph node (SLN) biopsy is unknown. The aim of this study was to evaluate the accuracy of 3 different nomograms in patients receiving NCT. PATIENTS AND METHODS: Between 1999 and 2007, 54 patients presented with clinically N0 disease received NCT. Nomograms developed by Memorial Sloan-Kettering Cancer Center (MSKCC), Stanford University, and Tenon Hospital were used to calculate the probability of NSLNM by using tumor size at presentation and after NCT for the same patient. The discrimination of the nomograms was assessed by calculating the area under (AUC) the receiver operating characteristic curve, and it was accepted that AUC values 0.7-0.8 represent considerable discrimination. RESULTS: The median patient age was 50.9 years (range, 29-67 years). Twenty-two patients (38.8%) had positive NSLNM. The MSKCC and the Stanford nomograms yielded similar AUC regardless of whether initial or post-NCT tumor size was used to determine predicted probability of NSLNM (AUCs were < 0.70). AUC was 0.74 for the Tenon model using tumor size at presentation. After NCT, the AUCs were 0.64, 0.57, and 0.78 for the MSKCC, the Stanford, and the Tenon nomograms, respectively. CONCLUSION: Although the AUC of the Tenon model was acceptable for accuracy, we found a lower rate for predicting negative NSLNM in our group than in the Tenon Hospital report. All of the nomograms developed for use in the non-NCT population need to be used with caution in the NCT population.

Predicting likelihood of having four or more positive nodes in patient with sentinel lymph node-positive breast cancer: a nomogram validation study.

PURPOSE: Katz suggested a nomogram for predicting having four or more positive nodes in sentinel lymph node (SLN)-positive breast cancer patients. The findings from this formula might influence adjuvant radiotherapy decisions. Our goal was to validate the accuracy of the Katz nomogram. METHODS AND MATERIALS: We reviewed the records of 309 patients with breast cancer who had undergone completion axillary lymph node dissection. The factors associated with the likelihood of having four or more positive axillary nodes were evaluated in patients with one to three positive SLNs. The nomogram developed by Katz was applied to our data set. The area under the curve of the corresponding receiver operating characteristics curve was calculated for the nomogram. RESULTS: Of the 309 patients, 80 (25.9%) had four or more positive axillary lymph nodes. On multivariate analysis, the number of positive SLNs (p < .0001), overall metastasis size (p = .019), primary tumor size (p = .0001), and extracapsular extension (p = .01) were significant factors predicting for four or more positive nodes. For patients with <5% probability, 90.3% had fewer than four positive nodes and 9.7% had four or more positive nodes. The negative predictive value was 91.7%, and sensitivity was 80%. The nomogram was accurate and discriminating (area under the curve, .801). CONCLUSION: The probability of four or more involved nodes is significantly greater in patients who have an increased number of positive SLNs, increased overall metastasis size, increased tumor size, and extracapsular extension. The Katz nomogram was validated in our patients. This nomogram will be helpful to clinicians making adjuvant treatment recommendations to their patients.