• 대한영상의학회지
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• 제79권5호
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• pp.259-263
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• 2018

52세 남자 환자가 우측 유방의 바깥부위에서 무통의 단단한 종괴를 호소하였다. 흉부 CT에서 3.3 cm 크기의 원형의 미세소엽상 경계의 조영증강되는 종괴가 확인되었고, 초음파에서는 미세소엽상 경계를 보이는 저에코성 종괴로, 종괴의 내부에는 석회화와 혈류가 보였다. 중심부바늘생검에서 종괴는 양성 과립세포종양(granular cell tumor; 이하 GCT)으로 확진되었다. 환자는 타병원으로 전원되어 병변의 수술적 제거를 시행하였다. 과립세포종양은 슈반세포(schwann cell)에 유래하는 종양으로, 유방에서는 드물고 대부분은 양성이다. 과립세포종양의 임상적 및 방사선학적 특징은 악성 종양과 유사한 소견을 보여 감별이 어려운 경우가 있으며, CT 영상은 거의 보고된 바가 없다. 본 증례를 통해 임상의와 방사선 전문의가 드물지만 양성종양인 GCT의 영상의학적 특징을 알고, 이를 악성종양과 감별하여 과도한 치료를 피해야 할것이다.

• Asian Pacific Journal of Cancer Prevention
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• 제16권11호
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• pp.4603-4608
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• 2015

Background: To determine the potential value of serum tumor markers in predicting pCR (pathological complete response) during neoadjuvant chemotherapy. Materials and Methods: We retrospectively monitored the pro-, mid-, and post-neoadjuvant treatment serum tumor marker concentrations in patients with locally advanced breast cancer (stage II-III) who accepted pre-surgical chemotherapy or chemotherapy in combination with targeted therapy at Fudan University Shanghai Cancer Center between September 2011 and January 2014 and investigated the association of serum tumor marker levels with therapeutic effect. Core needle biopsy samples were assessed using immunohistochemistry (IHC) prior to neoadjuvant treatment to determine hormone receptor, human epidermal growth factor receptor 2(HER2), and proliferation index Ki67 values. In our study, therapeutic response was evaluated by pCR, defined as the disappearance of all invasive cancer cells from excised tissue (including primary lesion and axillary lymph nodes) after completion of chemotherapy. Analysis of variance of repeated measures and receiver operating characteristic (ROC) curves were employed for statistical analysis of the data. Results: A total of 348 patients were recruited in our study after excluding patients with incomplete clinical information. Of these, 106 patients were observed to have acquired pCR status after treatment completion, accounting for approximately 30.5% of study individuals. In addition, 147patients were determined to be Her-2 positive, among whom the pCR rate was 45.6% (69 patients). General linear model analysis (repeated measures analysis of variance) showed that the concentration of cancer antigen (CA) 15-3 increased after neoadjuvant chemotherapy in both pCR and non-pCR groups, and that there were significant differences between the two groups (P=0.008). The areas under the ROC curves (AUCs) of pre-, mid-, and post-treatment CA15-3 concentrations demonstrated low-level predictive value (AUC=0.594, 0.644, 0.621, respectively). No significant differences in carcinoembryonic antigen (CEA) or CA12-5 serum levels were observed between the pCR and non-pCR groups (P=0.196 and 0.693, respectively). No efficient AUC of CEA or CA12-5 concentrations were observed to predict patient response toward neoadjuvant treatment (both less than 0.7), nor were differences between the two groups observed at different time points. We then analyzed the Her-2 positive subset of our cohort. Significant differences in CEA concentrations were identified between the pCR and non-pCR groups (P=0.039), but not in CA15-3 or CA12-5 levels (p=0.092 and 0.89, respectively). None of the ROC curves showed underlying prognostic value, as the AUCs of these three markers were less than 0.7. The ROC-AUCs for the CA12-5 concentrations of inter-and post-neoadjuvant chemotherapy in the estrogen receptor negative HER2 positive subgroup were 0.735 and 0.767, respectively. However, the specificity and sensitivity values were at odds with each other which meant that improving either the sensitivity or specificity would impair the efficiency of the other. Conclusions: Serum tumor markers CA15-3, CA12-5, and CEA might have little clinical significance in predicting neoadjuvant treatment response in locally advanced breast cancer.