variation in practice of the diagnostic workup of asymptomatic patients diagnosed with invasive breast cancer

variation in practice of the diagnostic workup of asymptomatic patients diagnosed with invasive breast cancer

;Anees eChagpar;Gildy eBabiera;Jose eAguirre;Kelly eHunt;Tyler eHughes
international journal of heat and technology 2016 Vol. 6 pp. -
174
echagpar2016frontiersvariation

Abstract

Introduction:Breast cancer is frequently diagnosed, yet variation remains in terms of practice patterns in presurgical workup. We sought to determine factors associated with this variation.Methods:An anonymous web-based survey was distributed to surgeons regarding their practices. Statistical analyses were conducted using SPSS.Results:253 surgeons responded to the survey. 17.0% were in academic practice, 37.5%% were hospital employed, and 41.5% were in private practice. 53.3% claimed that > 50% of their practice was breast-related. Surgeons were asked how often they would use various tests in the workup of an otherwise healthy asymptomatic patients, presenting with a non-palpable mammographic abnormality and a core needle biopsy showing invasive breast cancer. 23.5% stated they always would obtain a breast ultrasound, 17.2% stated they never would. 12.8% stated they never order a breast MRI; 4.1% always would. Workup of patients did not vary significantly based on number of years in practice nor practice setting. However, those whose practice was >50% breast were more likely to state that they would always order a breast ultrasound (32.5% vs. 12.9%, p<0.001), and less likely to state they would never order a breast MRI (3.4% vs. 25.8%, p<0.001). However, the proportions of surgeons who would always order a breast MRI was similar in the two groups (3.4% and 3.2%, respectively). Conclusions:These data highlight the lack of uniformity in the workup of asymptomatic patients presenting with non-palpable breast cancers, pointing to potential areas for improving value by minimizing variability.

Citation

ID: 210274
Ref Key: echagpar2016frontiersvariation
Use this key to autocite in SciMatic or Thesis Manager

References

Blockchain Verification

Account:
NFT Contract Address:
0x95644003c57E6F55A65596E3D9Eac6813e3566dA
Article ID:
210274
Unique Identifier:
10.3389/fonc.2016.00056
Network:
Scimatic Chain (ID: 481)
Loading...
Blockchain Readiness Checklist
Authors
Abstract
Journal Name
Year
Title
5/5
Creates 1,000,000 NFT tokens for this article
Token Features:
  • ERC-1155 Standard NFT
  • 1 Million Supply per Article
  • Transferable via MetaMask
  • Permanent Blockchain Record
Blockchain QR Code
Scan with Saymatik Web3.0 Wallet

Saymatik Web3.0 Wallet