Value of high-resolution full-field optical coherence tomography and dynamic cell imaging for one-stop rapid diagnosis breast clinic.
breast biopsy
breast cancer
full-field optical coherence tomography
one-stop breast clinic diagnosis
Journal
Cancer medicine
ISSN: 2045-7634
Titre abrégé: Cancer Med
Pays: United States
ID NLM: 101595310
Informations de publication
Date de publication:
10 2023
10 2023
Historique:
revised:
05
09
2023
received:
19
06
2023
accepted:
09
09
2023
medline:
23
10
2023
pubmed:
29
9
2023
entrez:
29
9
2023
Statut:
ppublish
Résumé
Full-field optical coherence tomography combined with dynamic cell imaging (D-FFOCT) is a new, simple-to-use, nondestructive, quick technique that can provide sufficient spatial resolution to mimic histopathological analysis. The objective of this study was to evaluate diagnostic performance of D-FFOCT for one-stop rapid diagnosis breast clinic. Dynamic full-field optical coherence tomography was applied to fresh, untreated breast and nodes biopsies. Four different readers (senior and junior radiologist, surgeon, and pathologist) analyzed the samples without knowing final histological diagnosis or American College of Radiology classification. The results were compared to conventional processing and staining (hematoxylin-eosin). A total of 217 biopsies were performed on 152 patients. There were 144 breast biopsies and 61 lymph nodes with 101 infiltrative cancers (49.27%), 99 benign lesions (48.29%), 3 ductal in situ carcinoma (1.46%), and 2 atypias (0.98%). The diagnostic performance results were as follow: sensitivity: 77% [0.7;0.82], specificity: 64% [0.58;0.71], PPV: 74% [0.68;0.78], and NPV: 75% [0.72;0.78]. A large image atlas was created as well as a diagnosis algorithm from the readers' experience. With 74% PPV and 75% NPV, D-FFOCT is not yet ready to be used in clinical practice to identify breast cancer. This is mainly explained by the lack of experience and knowledge of this new technic by the four lectors. By training with the diagnosis algorithm and the image atlas, radiologists could have better outcomes allowing quick detection of breast cancer and lymph node involvement. Deep learning could also be used, and further investigation will follow.
Sections du résumé
BACKGROUND
Full-field optical coherence tomography combined with dynamic cell imaging (D-FFOCT) is a new, simple-to-use, nondestructive, quick technique that can provide sufficient spatial resolution to mimic histopathological analysis. The objective of this study was to evaluate diagnostic performance of D-FFOCT for one-stop rapid diagnosis breast clinic.
METHODS
Dynamic full-field optical coherence tomography was applied to fresh, untreated breast and nodes biopsies. Four different readers (senior and junior radiologist, surgeon, and pathologist) analyzed the samples without knowing final histological diagnosis or American College of Radiology classification. The results were compared to conventional processing and staining (hematoxylin-eosin).
RESULTS
A total of 217 biopsies were performed on 152 patients. There were 144 breast biopsies and 61 lymph nodes with 101 infiltrative cancers (49.27%), 99 benign lesions (48.29%), 3 ductal in situ carcinoma (1.46%), and 2 atypias (0.98%). The diagnostic performance results were as follow: sensitivity: 77% [0.7;0.82], specificity: 64% [0.58;0.71], PPV: 74% [0.68;0.78], and NPV: 75% [0.72;0.78]. A large image atlas was created as well as a diagnosis algorithm from the readers' experience.
CONCLUSION
With 74% PPV and 75% NPV, D-FFOCT is not yet ready to be used in clinical practice to identify breast cancer. This is mainly explained by the lack of experience and knowledge of this new technic by the four lectors. By training with the diagnosis algorithm and the image atlas, radiologists could have better outcomes allowing quick detection of breast cancer and lymph node involvement. Deep learning could also be used, and further investigation will follow.
Identifiants
pubmed: 37772663
doi: 10.1002/cam4.6560
pmc: PMC10587972
doi:
Banques de données
ClinicalTrials.gov
['NCT04292821']
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
19500-19511Informations de copyright
© 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.
Références
World J Urol. 2016 Feb;34(2):237-43
pubmed: 26100944
Br J Cancer. 2021 Feb;124(4):710-712
pubmed: 33250510
Opt Express. 2006 Aug 7;14(16):7159-71
pubmed: 19529086
J Pathol Inform. 2013 Sep 27;4:26
pubmed: 24244883
Technol Cancer Res Treat. 2016 Apr;15(2):266-74
pubmed: 25804544
Ann Surg Oncol. 2013 Oct;20(11):3685-93
pubmed: 22688663
Radiol Clin North Am. 2014 May;52(3):481-7
pubmed: 24792650
Cancer. 2020 Aug 15;126 Suppl 16:3847-3856
pubmed: 32710665
Light Sci Appl. 2020 Aug 17;9:140
pubmed: 32864115
Radiology. 2018 May;287(2):416-422
pubmed: 29315061
NPJ Breast Cancer. 2022 Dec 6;8(1):129
pubmed: 36473870
Cancer. 1975 Feb;35(2):499-506
pubmed: 1111924
Breast. 2014 Aug;23(4):364-70
pubmed: 24582455
Cancer Med. 2023 Oct;12(19):19500-19511
pubmed: 37772663
Gut. 2021 Jan;70(1):6-8
pubmed: 32447309
Technol Cancer Res Treat. 2014 Oct;13(5):455-68
pubmed: 24000981
PLoS One. 2017 Apr 17;12(4):e0175862
pubmed: 28414765
Biomed Opt Express. 2016 Mar 24;7(4):1511-24
pubmed: 27446672
CA Cancer J Clin. 2021 May;71(3):209-249
pubmed: 33538338