Encapsulated papillary carcinoma of the breast: An institutional case series and literature review.

BACKGROUND: Encapsulated papillary carcinoma of the breast is rare, making difficult diagnosis and resulting in patients undergoing excision biopsy before definitive surgery. Evidence-based guidelines are sparse. We would like to further elucidate the clinicopathological, treatment and survival outcomes. MATERIALS AND METHODS: 54 patients identified, with a median follow up duration of 48 months. Patients' demographics, radiological and clinicopathological characteristics, treatment, adjuvant therapies as well as survival data were analysed. RESULTS: 18 (33.3%) cases were pure EPC, 12 (22.2%) were EPC associated with ductal carcinoma in situ (DCIS) and 24 (44.4%) cases had concurrent invasive ductal carcinoma. EPCs were more likely to present as a solid-cystic mass on sonography (63.8%), regular-shaped (oval or round) (97.9%), lack spiculations (95.7%) and lack suspicious microcalcifications (95.6%). Median tumour size was largest in the EPC with IDC group (18.5 mm). 2 patients developed loco-regional recurrence. Overall survival is good for EPCs of all subtypes. CONCLUSION: EPC is a rare tumour with excellent prognosis.

Multi-center evaluation of artificial intelligent imaging and clinical models for predicting neoadjuvant chemotherapy response in breast cancer.

BACKGROUND: Neoadjuvant chemotherapy (NAC) plays an important role in the management of locally advanced breast cancer. It allows for downstaging of tumors, potentially allowing for breast conservation. NAC also allows for in-vivo testing of the tumors' response to chemotherapy and provides important prognostic information. There are currently no clearly defined clinical models that incorporate imaging with clinical data to predict response to NAC. Thus, the aim of this work is to develop a predictive AI model based on routine CT imaging and clinical parameters to predict response to NAC. METHODS: The CT scans of 324 patients with NAC from multiple centers in Singapore were used in this study. Four different radiomics models were built for predicting pathological complete response (pCR): first two were based on textural features extracted from peri-tumoral and tumoral regions, the third model based on novel space-resolved radiomics which extract feature maps using voxel-based radiomics and the fourth model based on deep learning (DL). Clinical parameters were included to build a final prognostic model. RESULTS: The best performing models were based on space-resolved and DL approaches. Space-resolved radiomics improves the clinical AUCs of pCR prediction from 0.743 (0.650 to 0.831) to 0.775 (0.685 to 0.860) and our DL model improved it from 0.743 (0.650 to 0.831) to 0.772 (0.685 to 0.853). The tumoral radiomics model performs the worst with no improvement of the AUC from the clinical model. The peri-tumoral combined model gives moderate performance with an AUC of 0.765 (0.671 to 0.855). CONCLUSIONS: Radiomics features extracted from diagnostic CT augment the predictive ability of pCR when combined with clinical features. The novel space-resolved radiomics and DL radiomics approaches outperformed conventional radiomics techniques.

Brain-derived neurotrophic factor genetic polymorphism (rs6265) is protective against chemotherapy-associated cognitive impairment in patients with early-stage breast cancer.

BACKGROUND: Brain-derived neurotrophic factor (BDNF), a neurotrophin that regulates neuronal function and development, is implicated in several neurodegenerative conditions. Preliminary data suggest that a reduction of BDNF concentrations may lead to postchemotherapy cognitive impairment. We hypothesized that a single nucleotide polymorphism (rs6265) of the BDNF gene may predispose patients to cognitive impairment. This study aimed to evaluate the effect of BDNF gene polymorphism on chemotherapy-associated cognitive impairment. METHODS: Overall, 145 patients receiving chemotherapy for early-stage breast cancer (mean age: 50.8 ± 8.8 y; 82.1% Chinese) were recruited. Patients' cognitive functions were assessed longitudinally using the validated Functional Assessment of Cancer Therapy-Cognitive Function (v.3) and an objective computerized tool, Headminder. Genotyping was performed using Sanger sequencing. Logistic regression was used to evaluate the association between BDNF Val66Met polymorphism and cognition after adjusting for ethnicity and clinically important covariates. RESULTS: Of the 145 patients, 54 (37%) reported cognitive impairment postchemotherapy. The Met/Met genotype was associated with statistically significant lower odds of developing cognitive impairment (odds ratio [OR] = 0.26; 95% CI: 0.08-0.92; P = .036). The Met carriers were less likely to experience impairment in the domains of verbal fluency (OR = 0.34; 95% CI: 0.12-0.90; P = .031) and multitasking ability (OR = 0.37; 95% CI: 0.15-0.91; P = .030) compared with the Val/Val homozygote. No associations were observed between Headminder and the BDNF Val66Met polymorphism. CONCLUSIONS: This is the first study to provide evidence that carriers of the BDNF Met allele are protected against chemotherapy-associated cognitive impairment. Further studies are required to validate the findings.

Intrahepatic biliary cystadenoma presenting with obstructive jaundice.

Biliary cystadenoma (BCA) is a rare neoplasm of the bile duct with malignant potential. We report a case of intrahepatic BCA with an unusual presentation of obstructive jaundice. Computed tomography scan of the abdomen revealed a dilated common bile duct and intrahepatic ducts with internal septa. Endoscopic retrograde cholangiography showed an oval filling defect in the bile duct causing the obstruction. At laparotomy, this proved to be a multiloculated mucinous polyp in the common bile duct, with its origin in the left intrahepatic duct, detected using intraoperative choledochoscopy. A left hemihepatectomy was performed, and histology confirmed intrahepatic mucinous BCA with mesenchymal stroma. The imaging process and surgical options for BCA are discussed.

Surgical management of endoscopic retrograde cholangiopancreatography-related perforations.

BACKGROUND: A retrospective review was carried out of consecutive cases of endoscopic retrograde cholangiopancreatography (ERCP)-related perforation to identify risk factors and technique affecting surgical outcome. METHODS: Eighteen patients (0.45%) out of 4030 ERCP performed were operated on for ERCP-related perforation at Singapore General Hospital. RESULTS: The group's median age was 72.5 years and 14 patients had ductal stone disease. Five perforations were discovered at ERCP while 10 required computed tomography for diagnosis. Eight patients were operated on within 24 h whereas 10 patients had surgery after 24 h. Five of six with type I (lateral duodenal) perforations had early surgery versus one of seven with type II (peri-Vaterian; P = 0.03). There were four type III (bile duct) perforations and one type IV (retroperitoneal air). Five of six patients with type I perforation had simple repair compared with five of seven type II requiring the complex duodenal diversion procedure (P = 0.10). Three patients (16.7%) succumbed after surgery due to sepsis and myocardial infarction. Advanced age>70 years resulted in higher mortality of 30% versus none in patients <70 years (P = 0.22). CONCLUSIONS: Early diagnosis is important but difficult especially for the type II perforations. Duodenal diversion is used more frequently in patients with type II perforations and those operated on late. Advanced age contributes to poorer outcome in surgical treatment of ERCP perforations.