Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinic
Abstract 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...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-10-01
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| Series: | Cancer Medicine |
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| Online Access: | https://doi.org/10.1002/cam4.6560 |
| _version_ | 1797654477451296768 |
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| author | Alexis Simon Yasmina Badachi Jacques Ropers Isaura Laurent Lida Dong Elisabeth Da Maia Agnès Bourcier Geoffroy Canlorbe Catherine Uzan |
| author_facet | Alexis Simon Yasmina Badachi Jacques Ropers Isaura Laurent Lida Dong Elisabeth Da Maia Agnès Bourcier Geoffroy Canlorbe Catherine Uzan |
| author_sort | Alexis Simon |
| collection | DOAJ |
| description | Abstract 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. |
| first_indexed | 2024-03-11T17:00:03Z |
| format | Article |
| id | doaj.art-1ea04cee40f341739273ff1d0c6ee48d |
| institution | Directory Open Access Journal |
| issn | 2045-7634 |
| language | English |
| last_indexed | 2024-03-11T17:00:03Z |
| publishDate | 2023-10-01 |
| publisher | Wiley |
| record_format | Article |
| series | Cancer Medicine |
| spelling | doaj.art-1ea04cee40f341739273ff1d0c6ee48d2023-10-20T10:25:45ZengWileyCancer Medicine2045-76342023-10-011219195001951110.1002/cam4.6560Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinicAlexis Simon0Yasmina Badachi1Jacques Ropers2Isaura Laurent3Lida Dong4Elisabeth Da Maia5Agnès Bourcier6Geoffroy Canlorbe7Catherine Uzan8Department of Radiology, Pitié‐Salpêtrière Hospital Assistance Publique‐Hôpitaux de Paris (AP‐HP) Paris FranceDepartment of Radiology, Pitié‐Salpêtrière Hospital Assistance Publique‐Hôpitaux de Paris (AP‐HP) Paris FranceClinical Research Unit, Pitié‐Salpêtrière Hospital Assistance Publique‐Hôpitaux de Paris (AP‐HP) Paris FranceClinical Research Unit, Pitié‐Salpêtrière Hospital Assistance Publique‐Hôpitaux de Paris (AP‐HP) Paris FranceDepartment of Pathology, Pitié‐Salpêtrière Hospital Assistance Publique‐Hôpitaux de Paris (AP‐HP) Paris FranceDepartment of Pathology, Pitié‐Salpêtrière Hospital Assistance Publique‐Hôpitaux de Paris (AP‐HP) Paris FranceDepartment of Gynaecological and Breast Surgery and Oncology Assistance Publique des Hôpitaux de Paris (AP‐HP) Paris FranceDepartment of Gynaecological and Breast Surgery and Oncology Assistance Publique des Hôpitaux de Paris (AP‐HP) Paris FranceDepartment of Gynaecological and Breast Surgery and Oncology Assistance Publique des Hôpitaux de Paris (AP‐HP) Paris FranceAbstract 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.https://doi.org/10.1002/cam4.6560breast biopsybreast cancerfull‐field optical coherence tomographyone‐stop breast clinic diagnosis |
| spellingShingle | Alexis Simon Yasmina Badachi Jacques Ropers Isaura Laurent Lida Dong Elisabeth Da Maia Agnès Bourcier Geoffroy Canlorbe Catherine Uzan Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinic Cancer Medicine breast biopsy breast cancer full‐field optical coherence tomography one‐stop breast clinic diagnosis |
| title | Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinic |
| title_full | Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinic |
| title_fullStr | Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinic |
| title_full_unstemmed | Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinic |
| title_short | Value of high‐resolution full‐field optical coherence tomography and dynamic cell imaging for one‐stop rapid diagnosis breast clinic |
| title_sort | value of high resolution full field optical coherence tomography and dynamic cell imaging for one stop rapid diagnosis breast clinic |
| topic | breast biopsy breast cancer full‐field optical coherence tomography one‐stop breast clinic diagnosis |
| url | https://doi.org/10.1002/cam4.6560 |
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