Literature DB >> 29778636

Surgeon-performed ultrasound for the assessment of parotid masses.

Melissa Zheng1, Karolina A Plonowska2, Madeleine P Strohl3, William R Ryan4.   

Abstract

BACKGROUND: Studies on parotid gland ultrasound assessments performed specifically by surgeons are seldom reported.
METHODS: Retrospective series of a single academic surgeon experience, analyzing 70 new parotid masses with evaluable preoperative SP-US characteristics, location measurements, and perioperative events.
RESULTS: 31/70 masses were malignant. SP-US characteristics significantly associated with both malignancy and positive margins included extraparenchymal extension, irregular borders, hypervascularity, infiltration, and the lack of deep enhancement. The larger the skin-to-deep-aspect-of-tumor distance, the more likely the tumor was deep to FN. For the 39 cytologically benign tumors, neither CT nor MRI provided additional information to change management except for full delineation of parapharyngeal space extension in 2 cases.
CONCLUSION: SP-US can help predict parotid mass benignity/malignancy, positive margin risk, and tumor relation to FN. SP-US may be used as the sole imaging in cytologically benign tumors unless the deep tumor extent cannot be identified.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Facial nerve; Parotid gland; Surgeon-performed ultrasound; Tumor; Ultrasound

Mesh:

Year:  2018        PMID: 29778636     DOI: 10.1016/j.amjoto.2018.04.011

Source DB:  PubMed          Journal:  Am J Otolaryngol        ISSN: 0196-0709            Impact factor:   1.808


  2 in total

1.  Point-of-care ultrasound scan as the primary modality for evaluating parotid tumors.

Authors:  Jennifer L Harb; Christopher Zaro; Samih J Nassif; Jagdish K Dhingra
Journal:  Laryngoscope Investig Otolaryngol       Date:  2022-08-11

2.  Apparent Diffusion Coefficient (ADC) Histogram Analysis in Parotid Gland Tumors: Evaluating a Novel Approach for Differentiation between Benign and Malignant Parotid Lesions Based on Full Histogram Distributions.

Authors:  Tobias Hepp; Wolfgang Wuest; Rafael Heiss; Matthias Stefan May; Markus Kopp; Matthias Wetzl; Christoph Treutlein; Michael Uder; Marco Wiesmueller
Journal:  Diagnostics (Basel)       Date:  2022-08-01
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.