The clinical behavior and genomic features of the so-called adenoid cystic carcinomas of the solid variant with basaloid features

2021 ◽  
Author(s):  
Christopher J. Schwartz ◽  
Edi Brogi ◽  
Antonio Marra ◽  
Arnaud F Da Cruz Paula ◽  
Gouri J. Nanjangud ◽  
...  
2018 ◽  
Vol 14 (2) ◽  
pp. 99-108 ◽  
Author(s):  
Eugene Son ◽  
Aru Panwar ◽  
Charles H. Mosher ◽  
Daniel Lydiatt

Salivary gland malignancies are rare tumors that comprise multiple histologic entities with diverse clinical behavior. Mucoepidermoid carcinoma is the most frequent primary salivary malignancy, followed by adenoid cystic and acinic cell carcinoma. Although most salivary malignancies are asymptomatic, presentation with a rapidly enlarging mass may be accompanied by pain, functional neurologic deficits, soft-tissue invasion, or nodal enlargement. Assessment of clinical behavior and physical exam greatly contributes to diagnostic workup. Preoperative imaging, to include ultrasound, computed tomography, or magnetic resonance imaging, may assist with surgical planning. Limitations of preoperative fine-needle aspiration cytology mean that, in some cases, definitive histologic diagnosis may not be established until therapeutic surgery is undertaken. Treatment strategies rely on oncologic resection of the primary site with negative margins as well as adjuvant radiotherapy in patients with high-risk features, such as high-grade histology, advanced T class, or perineural invasion. Regional lymphadenectomy is recommended for involved nodal basins. Patients with clinically node-negative disease at high risk for occult nodal metastases may be considered for elective lymphadenectomy or radiotherapy. Use of chemotherapy in the adjuvant setting, in combination with radiotherapy, remains controversial. The rate of objective response to palliative chemotherapy in recurrent or metastatic salivary gland malignancy remains low. In studies that include a significant proportion of adenoid cystic carcinomas, whether disease stability represents an indolent disease process or the true effect of a therapeutic drug may be difficult to discern. Recognition of genetic alterations and protein expression unique to salivary malignancies presents exciting new opportunities for molecularly targeted therapy, although the response to molecularly targeted therapy in studies has been modest thus far.


Skull Base ◽  
2005 ◽  
Vol 15 (S 2) ◽  
Author(s):  
Gero Strauss ◽  
T. Schumann ◽  
A. Weber ◽  
C. Trantakis ◽  
A. Tannapfel ◽  
...  

1989 ◽  
Vol 53 (10) ◽  
pp. 590-592
Author(s):  
PM Clark ◽  
CA DeVore ◽  
HL Whitacre ◽  
PL DeVore ◽  
JA Joseph

2017 ◽  
Vol 2 (11) ◽  
pp. 79-90
Author(s):  
Courtney G. Scott ◽  
Trina M. Becker ◽  
Kenneth O. Simpson

The use of computer monitors to provide technology-based written feedback during clinical sessions, referred to as “bug-in-the-eye” (BITi) feedback, recently emerged in the literature with preliminary evidence to support its effectiveness (Carmel, Villatte, Rosenthal, Chalker & Comtois, 2015; Weck et al., 2016). This investigation employed a single-subject, sequential A-B design with two participants to observe the effects of implementing BITi feedback using a smartwatch on the clinical behavior of student clinicians (SCs). Baseline and treatment data on the stimulus-response-consequence (S-R-C) contingency completion rates of SCs were collected using 10 minute segments of recorded therapy sessions. All participants were students enrolled in a clinical practicum experience in a communication disorders and sciences (CDS) program. A celeration line, descriptive statistics, and stability band were used to analyze the data by slope, trend, and variability. Results demonstrated a significant correlative relationship between BITi feedback with a smartwatch and an increase in positive clinical behaviors. Based on qualitative interviews and exit rating scales, SCs reported BITi feedback was noninvasive and minimally distracting. Preliminary evidence suggests BITi feedback with a smartwatch may be an effective tool for providing real-time clinical feedback.


1988 ◽  
Vol 33 (8) ◽  
pp. 730-730
Author(s):  
No authorship indicated

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