scholarly journals Breast Sarcomas, Phyllodes Tumors, and Desmoid Tumors: Epidemiology, Diagnosis, Staging, and Histology-Specific Management Considerations

Author(s):  
George Z. Li ◽  
Chandrajit P. Raut ◽  
Kelly K. Hunt ◽  
Mary Feng ◽  
Rashmi Chugh

Breast sarcomas arise from connective tissues of the breast and account for fewer than 1% of all breast malignancies. They can be subclassified as primary breast sarcomas, which arise de novo and are histologically diverse, and secondary breast sarcomas, which arise as a result of radiation or lymphedema and are most commonly angiosarcomas. Two other connective tissue neoplasms that occur within the breast include phyllodes tumors and desmoid tumors, which exhibit a spectrum of behaviors. Malignant phyllodes tumors are biologically similar to primary breast sarcomas, whereas desmoid tumors are technically benign but often locally aggressive. Patients with breast sarcomas often present with a rapidly growing mass or, in cases of radiation-associated angiosarcoma, violaceous cutaneous lesions. Core needle biopsy is generally required to confirm the diagnosis of sarcomas. Staging workup includes MRI and chest imaging, although these are not required in the case of benign phyllodes or desmoid tumors. In general, localized breast sarcomas should be resected, with the extent of resection tailored to histologic subtype. Radiation and chemotherapy can be used in the neoadjuvant or adjuvant setting, but data are limited, so treatment decisions should be made on an individualized basis. Systemic therapy options for metastatic disease and refractory breast desmoids mimic those used for the same histologies when present in other sites. Given the rarity and heterogeneity of breast sarcoma, as well as limited literature describing these entities, expert multidisciplinary evaluation is crucial for optimal decision making.

Stat ◽  
2021 ◽  
Author(s):  
Hengrui Cai ◽  
Rui Song ◽  
Wenbin Lu

Kybernetes ◽  
2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Guangsheng Zhang ◽  
Xiao Wang ◽  
Zhiqing Meng ◽  
Qirui Zhang ◽  
Kexin Wu

PurposeTo remedy the inherent defect in current research that focuses only on a single type of participants, this paper endeavors to look into the situation as an evolutionary game between a representative Logistics Service Integrator (LSI) and a representative Functional Logistics Service Provider (FLSP) in an environment with sudden crisis and tries to analyze how LSI supervises FLSP's operations and how FLSP responds in a recurrent pattern with different interruption probabilities.Design/methodology/approachRegarding the risks of supply chain interruption in emergencies, this paper develops a two-level model of single LSI and single FLSP, using Evolutionary Game theory to analyze their optimal decision-making, as well as their strategic behaviors on different risk levels regarding the interruption probability to achieve the optimal return with bounded rationality.FindingsThe results show that on a low-risk level, if LSI increases the degree of punishment, it will fail to enhance FLSP's operational activeness in the long term; when the risk rises to an intermediate level, a circular game occurs between LSI and FLSP; and on a high level of risk, FLSP will actively take actions, and its functional probability further impacts LSI's strategic choices. Finally, this paper analyzes the moderating impact of punishment intensity and social reputation loss on the evolutionary model in emergencies and provides relevant managerial implications.Originality/valueFirst, by taking both interruption probability and emergencies into consideration, this paper explores the interactions among the factors relevant to LSI's and FLSP's optimal decision-making. Second, this paper analyzes the optimal evolutionary game strategies of LSI and FLSP with different interruption probability and the range of their optimal strategies. Third, the findings of this paper provide valuable implications for relevant practices, such that the punishment intensity and social reputation loss determine the optimal strategies of LSI and FLSP, and thus it is an effective vehicle for LSSC system administrator to achieve the maximum efficiency of the system.


2021 ◽  
pp. 103418
Author(s):  
Xiangqian Zhu ◽  
Wenfeng Wang ◽  
Suhong Pang ◽  
Chaoyin An ◽  
Xiaoliang Yang ◽  
...  

2010 ◽  
Vol 14 (1) ◽  
pp. 74-88 ◽  
Author(s):  
Domenico Conforti ◽  
Francesca Guerriero ◽  
Rosita Guido ◽  
Marco Matucci Cerinic ◽  
Maria Letizia Conforti

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