Publications by authors named "Florence Mege Lechevallier"

Background And Objective: Prostate multiparametric magnetic resonance imaging (MRI) shows high sensitivity for International Society of Urological Pathology grade group (GG) ≥2 cancers. Many artificial intelligence algorithms have shown promising results in diagnosing clinically significant prostate cancer on MRI. To assess a region-of-interest-based machine-learning algorithm aimed at characterising GG ≥2 prostate cancer on multiparametric MRI.

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Objective: To evaluate the prognostic value of programmed death ligand-1 (PD-L1) and programmed death-1 (PD-1) expression in patients with upper tract urothelial carcinoma (UTUC).

Patients And Methods: A retrospective multicentre study was conducted in 283 patients with UTUC treated with radical nephroureterectomy (RNU) between 2000 and 2015 at 10 French hospitals. Immunohistochemistry analyses were performed using 2 mm-core tissue microarrays with NAT105® and 28.

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Background: The current pathological tumour-node-metastasis (pTNM) classification for upper tract urothelial carcinoma (UTUC) does not include any risk stratification of pT3 renal pelvicalyceal tumours.

Objective: To assess the prognostic impact of pT3 subclassification in a multicentre cohort of patients with UTUC of the renal pelvicalyceal system undergoing radical nephroureterectomy (RNU).

Design, Setting, And Participants: Data from all consecutive patients treated with RNU for pT3 renal pelvicalyceal UTUC at 14 French centres from 1995 to 2013 were reviewed retrospectively.

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Background: Whether multiparametric MRI improves the detection of clinically significant prostate cancer and avoids the need for systematic biopsy in biopsy-naive patients remains controversial. We aimed to investigate whether using this approach before biopsy would improve detection of clinically significant prostate cancer in biopsy-naive patients.

Methods: In this prospective, multicentre, paired diagnostic study, done at 16 centres in France, we enrolled patients aged 18-75 years with prostate-specific antigen concentrations of 20 ng/mL or less, and with stage T2c or lower prostate cancer.

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Purpose To determine the performance of a computer-aided diagnosis (CAD) system trained at characterizing cancers in the peripheral zone (PZ) with a Gleason score of at least 7 in patients referred for multiparametric magnetic resonance (MR) imaging before prostate biopsy. Materials and Methods Two institutional review board-approved prospective databases of patients who underwent multiparametric MR imaging before prostatectomy (database 1) or systematic and targeted biopsy (database 2) were retrospectively used. All patients gave informed consent for inclusion in the databases.

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Article Synopsis
  • The study aimed to evaluate how effective specific MRI features are in identifying clinically significant prostate cancers (csPCa) among 262 patients who had various MRI scans before prostate surgery.
  • Two independent readers assessed nine different features including shape, volume, and signal abnormalities, utilizing a scoring system to determine the likelihood of cancer presence.
  • Results indicated that certain models combining signal-related variables, volume, and additional clinical factors improved diagnostic accuracy, particularly when differentiating between various levels of csPCa severity, with dynamic contrast-enhanced imaging showing the most benefit.
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Article Synopsis
  • Overexpression of p16 has been linked to high-grade urothelial cancers and can be detected through p16/Ki-67 dual labeling, which helps identify aggressive cases even when initial cytology results are inconclusive.
  • The study analyzed 208 archived urinary samples, reclassifying them according to the 2015 Paris System for Reporting Urinary Cytology, to assess the effectiveness of p16/Ki-67 labeling in determining patient outcomes.
  • Results showed that while the sensitivity of p16/Ki-67 was comparable to urinary cytology, its use indicated shorter disease-free survival for certain classifications, suggesting it may be valuable for managing patients with non-muscle-invasive urothelial carcinoma.
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Objectives: To measure benign and malignant prostate tissue stiffness using shear-wave elastography (SWE).

Methods: Thirty consecutive patients underwent transrectal SWE in the axial and sagittal planes before prostatectomy. After reviewing prostatectomy specimens, two radiologists measured stiffness in regions corresponding to cancers, lateral and median benign peripheral zone (PZ) and benign transition zone (TZ).

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Objectives: Our aim was to assess whether magnetic resonance imaging (MRI) features predict recurrence-free survival (RFS) after prostate cancer high-intensity focused ultrasound (HIFU) ablation.

Methods: We retrospectively selected 81 patients who underwent (i) whole-gland HIFU ablation between 2007 and 2011 as first-line therapy or salvage treatment after radiotherapy or brachytherapy, and (ii) pre- and postoperative MRI. On preoperative imaging, two senior (R1, R2) and one junior (R3) readers assessed the number of sectors invaded by the lesion with the highest Likert score (dominant lesion) using a 27-sector diagram.

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Purpose To assess the intermanufacturer variability of quantitative models in discriminating cancers with a Gleason score of at least 7 among peripheral zone (PZ) lesions seen at 3-T multiparametric magnetic resonance (MR) imaging. Materials and Methods An institutional review board-approved prospective database of 257 patients who gave written consent and underwent T2-weighted, diffusion-weighted, and dynamic contrast material-enhanced imaging before prostatectomy was retrospectively reviewed. It contained outlined lesions found to be suspicious for malignancy by two independent radiologists and classified as malignant or benign after correlation with prostatectomy whole-mount specimens.

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As glucose is a mandatory nutrient for cell proliferation and renewal, it is suspected that glucose microenvironment is sensed by all cell types to regulate angiogenesis. Several glucose-sensing components have been partially described to respond to high glucose levels. However, little is known about the response to low glucose.

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Purpose: To assess the factors influencing multiparametric (MP) magnetic resonance (MR) imaging accuracy in estimating prostate cancer histologic volume (Vh).

Materials And Methods: A prospective database of 202 patients who underwent MP MR imaging before radical prostatectomy was retrospectively used. Institutional review board approval and informed consent were obtained.

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Background: p16(INK4a) Is overexpressed in almost all precancerous and carcinomatous lesions of the uterine cervix, secondary to interference between high-risk human papillomaviruses (hr-HPVs) and the retinoblastoma gene product. Overexpression of p16(INK4a) has also been identified in patients with high-grade urothelial lesions, both cytologically and histologically. However, the etiological role of HPV has not been documented except in inverted papillomas, low-grade bladder tumors, and younger patients.

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Purpose: To compare the subjective Likert score to the Prostate Imaging Reporting and Data System (PIRADS) and morphology-location-signal intensity (MLS) scores for categorization of prostate lesions as benign or malignant at multiparametric magnetic resonance (MR) imaging.

Materials And Methods: Two hundred fifteen patients who underwent T2-weighted, diffusion-weighted, and dynamic contrast material-enhanced multiparametric MR imaging of the prostate before radical prostatectomy were included in a prospective database after they signed the institutional review board-approved forms. Senior readers 1 and 2 prospectively noted the location, shape, and signal intensity of lesions on MR images from individual pulse sequences and scored each for likelihood of malignancy by using a Likert scale (range, 1-5).

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Purpose: To assess the impact of a computer-aided diagnosis (CAD) system in the characterization of focal prostate lesions at multiparametric magnetic resonance (MR) imaging.

Materials And Methods: Formal institutional review board approval was not required. Thirty consecutive 1.

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Background: Taking into consideration the known overexpression of p16(INK4a) in histologically demonstrated high-grade urothelial malignancies, the objective of the current study was to examine the value of p16(INK4a) overexpression and of p16/Ki-67 dual labeling versus urinary cytology in the detection of urothelial lesions.

Methods: Immunolabeling was performed on demounted and destained Papanicolaou slides after liquid-based ThinPrep processing. Actual diagnoses were ascertained by cystoscopy controls and histopathology.

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Hybrid oncocytic/chromophobe tumours (HOCT) are renal tumours recently described displaying histological features of both renal oncocytoma (RO) and chromophobe renal cell carcinoma (ChRCC), raising the question of their precise signification in the RO/ChRCC group. This study aimed to describe clinicopathological features of so called HOCT and to characterise their genomic profile. Five hundred and eighty-three tumours belonging to the ChRCC/RO group were retrospectively reviewed.

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Background: High-intensity focused ultrasound (HIFU) is a nonsurgical therapy for selected patients with localized prostate cancer (PCa).

Objective: The long-term oncologic and morbidity outcomes of primary HIFU therapy for localized PCa were evaluated in a prospective, single-arm, single-institution cohort study.

Design, Setting, And Participants: Participants were patients treated with HIFU for localized PCa from 1997 to 2009.

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Purpose: To compare biopsy performance of two approaches for multiparametric magnetic resonance (MR)-targeted biopsy (TB) with that of extended systematic biopsy (SB) in prostate cancer (PCa) detection.

Materials And Methods: This institutional review board-approved multicenter prospective study (May 2009 to January 2011) included 95 patients with informed consent who were suspected of having PCa, with a suspicious abnormality (target) at prebiopsy MR. Patients underwent 12-core SB and four-core TB with transrectal ultrasonographic (US) guidance, with two cores aimed visually (cognitive TB [TB-COG]) and two cores aimed using transrectal US-MR fusion software (fusion-guided TB [TB-FUS]).

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Article Synopsis
  • Objectives: To analyze how various factors affect the detection of prostate cancer using multiparametric MRI techniques.
  • Methods: A study involving 175 patients assessed MRI results against cancer detection rates, focusing on tumor size, Gleason score, and other characteristics, while comparing results from different MRI setups.
  • Results: The study found detection rates were significantly affected by tumor features rather than the MRI equipment used, with a subjective suspicion score being a strong predictor of both cancer presence and aggressiveness.
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No current imaging technique is capable of detecting with precision tumors in the prostate. To evaluate each technique, the histology data must be precisely mapped to the imaged data. As the histology slices cannot be assumed to be cut along the same plane as the imaged data were acquired, the registration must be considered as a 3-D problem.

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Purpose: To evaluate pre-operative prognostic risk factors to predict oncologic outcome of Salvage High-Intensity Focused Ultrasound (S-HIFU) for radiorecurrent prostate cancer (PCa).

Methods And Materials: A total of 290 men with biopsy-confirmed locally radiorecurrent PCa, underwent S-HIFU. D'Amico risk group before external beam radiotherapy (EBRT), Prostate Specific Antigen (PSA), estimated Gleason score prior HIFU and post HIFU biopsies were analyzed for predictive utility of local cancer control, cancer-specific, metastasis free, and progression free survival rates (PFSR).

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This study evaluated a computer-assisted diagnosis (CADx) system for determining a likelihood measure of prostate cancer presence in the peripheral zone (PZ) based on multiparametric magnetic resonance (MR) imaging, including T2-weighted, diffusion-weighted and dynamic contrast-enhanced MRI at 1.5 T. Based on a feature set derived from grey-level images, including first-order statistics, Haralick features, gradient features, semi-quantitative and quantitative (pharmacokinetic modelling) dynamic parameters, four kinds of classifiers were trained and compared: nonlinear support vector machine (SVM), linear discriminant analysis, k-nearest neighbours and naïve Bayes classifiers.

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Objective: To evaluate whether focal abnormalities (FAs) depicted by prostate MRI could be characterised using simple semiological features.

Methods: 134 patients who underwent T2-weighted, diffusion-weighted and dynamic contrast-enhanced MRI at 1.5 T before prostate biopsy were prospectively included.

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