A. Beaugerie
Paris Descartes University
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by A. Beaugerie.
Urologic Oncology-seminars and Original Investigations | 2017
C. Dariane; Thomas Le Guilchet; S. Hurel; F. Audenet; A. Beaugerie; Cécile Badoual; Joan Tordjman; Karine Clément; Saïk Urien; M. Pietak; Eric Fontaine; Arnaud Mejean; Marc-Olivier Timsit
OBJECTIVES The complexity of partial nephrectomy (PN) is partly anticipated by morphometric tumor-based scores that do not consider patient-related issues such as adherent perinephric fat (APF). Also, the objective is to prospectively assess the predictive factors of APF during PN, its effect on complications, and to correlate it to the histological reality. METHODS A total of 125 consecutive patients undergoing robotic or open PN were prospectively included. The Mayo adhesive probability score (MAP score) was compared to the peroperative presence of APF defined by a score≥2. Adipose tissue was analyzed histologically for fibrosis and inflammatory infiltrate of CD68+macrophages. Univariate and multivariate logistic regression analyses were performed to evaluate predictive factors of APF, and outcomes were compared using chi-square and Kruskal-Wallis tests. RESULTS APF was present in 51 patients (40.8%) and associated with slight longer operating time and increased blood loss. Warm ischemia time, margins, transfusion, and the Clavien-Dindo score were not different. In multivariate analysis, only male sex, age, waist circumference, fat density on computed tomography, and MAP score were significant predictors of APF. A radioclinical score was more predictive of APF than MAP score alone. Histologically, there was no macrophage infiltration but larger adipocytes in APF without significant differences in fibrosis. CONCLUSIONS APF can be accurately predicted using radioclinical data as the MAP score, combined with sex, age, and waist circumference. APF is associated with increased operative time and blood loss without postoperative complications. Histological analysis finds larger adipocytes in APF without inflammatory infiltrate, and no difference in fibrosis.
Urologic Oncology-seminars and Original Investigations | 2018
A. Beaugerie; F. Audenet; Virginie Verkarre; Christophe Delavaud; Thomas Le Guilchet; S. Hurel; Nicolas De Saint Aubert; Jean-Michel Correas; Eric Fontaine; Stéphane Richard; Arnaud Mejean; Marc-Olivier Timsit
OBJECTIVE To evaluate the pathological concordance rate of multiple synchronous renal masses (MSRM) presumed to be sporadic and to analyze predictive factors of concordance. MATERIAL AND METHODS We identified from our institutional database patients with sporadic MSRM treated at our center between January 2000 and December 2015. All tumors were reviewed by a dedicated uropathologist. Pathological concordance rate was analyzed regarding clinical characteristics and preoperative imaging. RESULTS We included 112 patients: 50 had unilateral synchronous renal masses and 62 bilateral synchronous renal masses. A total of 291 tumors were analyzed, with an average of 2.6 tumors per patient. Overall, the malignant concordance rate was 91.6%, the pathological concordance rate was 67.3% and the grade concordance rate was 62.5%. In univariate analysis, predictive factors of histological concordance were bilateral synchronous renal masses (odds ratio [OR] = 3.39; 95% CI: 1.06-10.8; P = 0.04), age<60 years (OR = 3.04; 95% CI: 1.2-7.7; P = 0.02) and ≥3 lesions (OR = 2.41; 95% CI: 1.03-5.68; P = 0.04). In multivariate analysis, age<60 remained significantly associated with histological concordance (OR = 3.84; 95% CI: 1.24-11.9; P = 0.02). CONCLUSIONS The histological concordance rate of MSRM is low. Age at diagnosis <60 years, bilateral lesions and ≥3 tumors are predictive factors of histological concordance, but the pathological diagnosis remains difficult to predict. This heterogeneity is important to take into account, particularly when choosing the treatment upon the renal biopsy results from a single lesion.
Progres En Urologie | 2016
A. Beaugerie; Virginie Verkarre; F. Audenet; T. Le Guilchet; S. Hurel; Stéphane Richard; J.-M. Correas; E. Fontaine; Arnaud Mejean; M. Timsit
Progres En Urologie | 2016
C. Lebacle; F. Audenet; C. Dariane; T. Le Guilchet; A. Beaugerie; S. Hurel; Eric Fontaine; M. Timsit; Arnaud Mejean
Progres En Urologie | 2016
J. Sapetti; F. Audenet; P. Wiskirski; T. Le-Guilchet; A. Beaugerie; S. Hurel; Eric Fontaine; M. Timsit; Arnaud Mejean
Progres En Urologie | 2016
A. Beaugerie; C. Delavaud; Virginie Verkarre; F. Audenet; T. Le-Guilchet; S. Hurel; N. De-Saint-Aubert; J.-M. Correas; Arnaud Mejean; M. Timsit
Progres En Urologie | 2016
A. Eric; F. Audenet; A. Beaugerie; T. Le Guilchet; F. Saint; M. Timsit; Arnaud Mejean
Progres En Urologie | 2016
T. Le Guilchet; F. Audenet; S. Hurel; A. Beaugerie; E. Fontaine; N. Terrier; M. Timsit; Arnaud Mejean
Progres En Urologie | 2015
T. Le Guilchet; F. Audenet; S. Hurel; A. Beaugerie; Eric Fontaine; N. Terrier; M. Timsit; Arnaud Mejean
Progres En Urologie | 2015
J. Batista da costa; F. Audenet; T. Le Guilchet; S. Hurel; A. Beaugerie; Eric Fontaine; M. Timsit; Arnaud Mejean