Fine-Needle Aspiration Biopsy of Liver Lesions Yields Higher Tumor Fraction for Molecular Studies: A Direct Comparison With Concurrent Core Needle Biopsy.


Journal

Journal of the National Comprehensive Cancer Network : JNCCN
ISSN: 1540-1413
Titre abrégé: J Natl Compr Canc Netw
Pays: United States
ID NLM: 101162515

Informations de publication

Date de publication:
01 09 2019
Historique:
received: 06 07 2018
accepted: 25 03 2019
entrez: 6 9 2019
pubmed: 6 9 2019
medline: 18 8 2020
Statut: ppublish

Résumé

This retrospective study evaluated and compared the diagnostic accuracy and suitability of tissue specimens for advanced molecular diagnostic testing obtained via 2 different techniques for percutaneous biopsy of primary and metastatic liver tumors. Samples from 137 patients with liver masses who underwent concurrent fine-needle aspiration biopsy with cell block (FNAB-CB) and core needle biopsy (CNB) at 2 hospitals were assessed for diagnostic accuracy, tumor fraction, and tumor cellularity. A subset of FNAB-CBs, that were deemed to have less or equal tumor cellularity compared with CNBs, had level sections performed and were reassessed for tumor cellularity. Diagnostic accuracy was 96% for FNAB and 93% for CNB (P=.267). In FNAB-CBs, tumor fraction was significantly higher than in CNB samples (67% vs 36%; P<.0001), whereas nontumor components were significantly lower (stromal component, 7% vs 29%; P<.0001; background benign hepatocytes, 25% vs 36%; P=.003). Additionally, in 44% of cases, FNAB-CB tumor cellularity was equal to or greater than that of the concurrent CNB. In the current age of personalized medicine, a minimally invasive, safe approach to obtaining adequate tissue for myriad molecular testing is paramount. We have shown that FNAB sampling is diagnostically accurate and produces higher tumor fractions than CNB. Thus, FNAB should be strongly considered as an initial sampling modality, especially for patients in whom molecular tests will determine management.

Sections du résumé

BACKGROUND
This retrospective study evaluated and compared the diagnostic accuracy and suitability of tissue specimens for advanced molecular diagnostic testing obtained via 2 different techniques for percutaneous biopsy of primary and metastatic liver tumors.
PATIENTS AND METHODS
Samples from 137 patients with liver masses who underwent concurrent fine-needle aspiration biopsy with cell block (FNAB-CB) and core needle biopsy (CNB) at 2 hospitals were assessed for diagnostic accuracy, tumor fraction, and tumor cellularity. A subset of FNAB-CBs, that were deemed to have less or equal tumor cellularity compared with CNBs, had level sections performed and were reassessed for tumor cellularity.
RESULTS
Diagnostic accuracy was 96% for FNAB and 93% for CNB (P=.267). In FNAB-CBs, tumor fraction was significantly higher than in CNB samples (67% vs 36%; P<.0001), whereas nontumor components were significantly lower (stromal component, 7% vs 29%; P<.0001; background benign hepatocytes, 25% vs 36%; P=.003). Additionally, in 44% of cases, FNAB-CB tumor cellularity was equal to or greater than that of the concurrent CNB.
CONCLUSIONS
In the current age of personalized medicine, a minimally invasive, safe approach to obtaining adequate tissue for myriad molecular testing is paramount. We have shown that FNAB sampling is diagnostically accurate and produces higher tumor fractions than CNB. Thus, FNAB should be strongly considered as an initial sampling modality, especially for patients in whom molecular tests will determine management.

Identifiants

pubmed: 31487685
doi: 10.6004/jnccn.2019.7300
pii: jnccn18160
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1075-1081

Auteurs

Patricia Ellen Goldhoff (PE)

Department of Pathology, University of California San Francisco.

Poonam Vohra (P)

Department of Pathology, Zuckerberg San Francisco General Hospital; and.

Kanti Pallav Kolli (KP)

Department of Radiology, University of California San Francisco, San Francisco, California.

Britt-Marie Ljung (BM)

Department of Pathology, University of California San Francisco.

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Classifications MeSH