Axillary evaluation in ductal cancer in situ of the breast: challenging the diagnostic accuracy of clinical practice guidelinesShow others and affiliations
2021 (English)In: British Journal of Surgery, ISSN 0007-1323, E-ISSN 1365-2168, Vol. 108, no 9, p. 1120-1125Article in journal (Refereed) Published
Abstract [en]
BACKGROUND: Staging of the axilla is not routine in ductal cancer in situ (DCIS) although invasive cancer is observed in 20-25 per cent of patients at final pathology. Upfront sentinel lymph node dissection (SLND) is advocated in clinical practice guidelines in certain situations. These include expected challenges in subsequent SLN detection and when the risk for invasion is high. Clinical practice guidelines are, however, inconsistent and lead to considerable practice variability.
METHODS: Clinical practice guidelines for upfront SLND in DCIS were identified and applied to patients included in the prospective SentiNot study. These patients were evaluated by six independent, blinded raters. Agreement statistics were performed to assess agreement and concordance. Receiver operating characteristic curves were constructed, to assess guideline accuracy in identifying patients with underlying invasion.
RESULTS: Eight guidelines with relevant recommendations were identified. Interobserver agreement varied greatly (kappa: 0.23-0.9) and the interpretation as to whether SLND should be performed ranged from 40-90 per cent and with varying concordance (32-88 per cent). The diagnostic accuracy was low with area under the curve ranging from 0.45 to 0.55. Fifty to 90 per cent of patients with pure DCIS would undergo unnecessary SLNB, whereas 10-50 per cent of patients with invasion were not identified as 'high risk'. Agreement across guidelines was low (kappa = 0.24), meaning that different patients had a similar risk of being treated inaccurately.
CONCLUSION: Available guidelines are inaccurate in identifying patients with DCIS who would benefit from upfront SLNB. Guideline refinement with detailed preoperative work-up and novel techniques for SLND identification could address this challenge and avoid overtreatment.
Place, publisher, year, edition, pages
Oxford University Press, 2021. Vol. 108, no 9, p. 1120-1125
National Category
Cancer and Oncology
Identifiers
URN: urn:nbn:se:oru:diva-92179DOI: 10.1093/bjs/znab149ISI: 000776252800046PubMedID: 34089583Scopus ID: 2-s2.0-85117739896OAI: oai:DiVA.org:oru-92179DiVA, id: diva2:1561518
Note
Funding agency:
Swedish Breast Cancer Association (Bröstcancerförbundet)
Uppsala University
2021-06-072021-06-072022-04-19Bibliographically approved