Muriel Abbaci

Dr. Muriel Abbaci

orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 December 2018 in Oral Oncology
Verified
Journal Article
Closed access
Muriel AbbaciMuriel Abbaci
Muriel Abbaci
FLFrederic De Leeuw
Frederic De Leeuw
IBIngrid Breuskin
Ingrid Breuskin
OCOdile Casiraghi
Odile Casiraghi
ALAïcha Ben Lakhdar
Aïcha Ben Lakhdar
DHDana Hartl
Dana Hartl

1 October 2019 in European Journal of Surgical Oncology
Verified
Journal Article
Closed access
Muriel AbbaciMuriel Abbaci
Muriel Abbaci
ACAngelica Conversano
Angelica Conversano
FLFrederic De Leeuw
Frederic De Leeuw
CLCorinne Laplace-Builhé
Corinne Laplace-Builhé
CMChafika Mazouni
Chafika Mazouni

19 March 2022 in Oral Oncology
Verified
Journal Article
Closed access
AVAdrien Villard
Adrien Villard
IBIngrid Breuskin
Ingrid Breuskin
OCOdile Casiraghi
Odile Casiraghi
SASafaa Asmandar
Safaa Asmandar
CLCorinne Laplace-Builhe
Corinne Laplace-Builhe
AMAntoine Moya-Plana
Antoine Moya-Plana

8 October 2018 in The Breast Journal
Verified
Journal Article
Closed access
PDF file
CMChafika Mazouni
Chafika Mazouni
MKMeriem Koual
Meriem Koual
FLFrederic De Leeuw
Frederic De Leeuw
ACAngelica Conversano
Angelica Conversano
NLNicolas Leymarie
Nicolas Leymarie
Muriel AbbaciMuriel Abbaci
Muriel Abbaci

5 May 2023 in BJS Open
Verified
Journal Article
Open access
PDF file
Angelica ConversanoAngelica Conversano
Angelica Conversano
Muriel AbbaciMuriel Abbaci
Muriel Abbaci
PDPaul van Diest
Paul van Diest
ARAurélie Roulot
Aurélie Roulot
GFGiuseppe Falco
Giuseppe Falco
MMMarie-Christine Mathieu
Marie-Christine Mathieu
New generation ultra-fast fluorescence confocal microscopy allows the ex vivo intraoperative analysis of fresh tissue. The High resolution Imaging for Breast carcInoma detection in ex vivo Specimens after breast Conserving sUrgery by hiStolog Scanner (HIBISCUSS) project aimed to develop an online learning program to recognize the main breast tissue features on ultra-fast fluorescence confocal microscopy images and to evaluate the performance of surgeons and pathologists in diagnosing cancerous and non-cancerous breast tissue in ultra-fast fluorescence confocal microscopy images. Patients who underwent conservative surgery or mastectomy for breast carcinoma (invasive or in situ lesions) were included. The fresh specimens were stained with a fluorescent dye and imaged using a large field-of-view (20 cm2) ultra-fast fluorescence confocal microscope. One hundred and eighty-one patients were included. The images from 55 patients were annotated to generate learning sheets and images from 126 patients were blindly interpreted by seven surgeons and two pathologists. The time for tissue processing and ultra-fast fluorescence confocal microscopy imaging was between 8 and 10 min. The training program was composed of 110 images divided into nine learning sessions. The final database for blind performance assessment comprised 300 images. The mean duration for one training session and one performance round was 17 and 27 min respectively. The performance of pathologists was almost perfect with 99.6 per cent (standard deviation (s.d.) 5.4 per cent) accuracy. Surgeons’ accuracy significantly increased (P = 0.001) from 83 per cent (s.d. 8.4 per cent) in round 1 to 98 per cent (s.d. 4.1 per cent) in round 7 as well as the sensitivity (P = 0.004). Specificity increased without significance from 84 per cent (s.d. 16.7 per cent) in round 1 to 87 per cent (s.d. 16.4 per cent) in round 7 (P = 0.060). Pathologists and surgeons showed a short learning curve in differentiating breast cancer from non-cancerous tissue in ultra-fast fluorescence confocal microscopy images. Performance assessment for both specialties supports ultra-fast fluorescence confocal microscopy evaluation for intraoperative management. NCT04976556 (http://www.clinicaltrials.gov).

12 October 2021 in Clinical Oral Investigations
Verified
Journal Article
Closed access
PDF file
Muriel AbbaciMuriel Abbaci
Muriel Abbaci
OCOdile Casiraghi
Odile Casiraghi
SVSebastien Vergez
Sebastien Vergez
AMAline Maillard
Aline Maillard
ALAïcha Ben Lakhdar
Aïcha Ben Lakhdar
IBIngrid Breuskin
Ingrid Breuskin