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Pierre Bigot Tarek Fardoun Jean Christophe Bernhard Evanguelos Xylinas Julien Berger Morgan Rouprêt Jean-Baptiste Beauval Samuel Lagabrielle Souhil Lebdai Myriam Ammi Hervé Baumert Bernard Escudier Nicolas Grenier Jean-François Hétet Jean-Alexandre Long Philippe Paparel Nathalie Rioux-Leclercq Michel Soulié Abdel-Rahmène Azzouzi Karim Bensalah Jean-Jacques Patard 《World journal of urology》2014,32(1):109-114
Objective
To assess the effect of neoadjuvant targeted molecular therapies (TMTs) on size and level of inferior vena cava tumor thrombi and to evaluate their impact on surgical management.Methods
We retrospectively analyzed the data of 14 patients treated for a clear cell renal cell carcinoma with inferior vena cava thrombi by neoadjuvant TMT before nephrectomy. Clinical, pathological and perioperative data were gathered retrospectively at each institution. The primitive tumor size and the thrombus size were defined by computed tomography before TMT. The tumor thrombus level was defined according to the Novick’s classification.Results
Before TMT, thrombus level was staged I for 1 (7 %), II for 10 (72 %) and III (21 %) for 3 patients. First-line therapy was sunitinib in 11 cases and sorafenib in 3 cases. Median therapy duration was two cycles (1–5). Three patients experienced major adverse effects (grade III) during TMT. Following TMT, 6 (43 %) patients had a measurable decrease, 6 (43 %) had no change, and 2 (14 %) had an increase in the thrombus. One patient (7 %) had a downstage of thrombus level, 12 (85 %) had stable thrombi, and 1 (7 %) had an upstage. Regarding primary tumor, 7 (50 %), 5 (36 %) and 2 (14 %) patients had a decrease, stabilization and an increase in tumor size, respectively.Conclusion
Neoadjuvant TMT appears to have limited effects on renal tumor thrombi. This retrospective study failed to demonstrate a significant impact of neoadjuvant TMT on surgical management of clear cell renal cell carcinoma with inferior vena cava tumor thrombi. 相似文献23.
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Bassel G. Bachir Armen G. Aprikian Jonathan I. Izawa Joseph L. Chin Yves Fradet Adrian Fairey Eric Estey Niels Jacobsen Ricardo Rendon Ilias Cagiannos Louis Lacombe Jean-Baptiste Lattouf Anil Kapoor Edward Matsumoto Fred Saad David Bell Peter C. Black Alan I. So Wassim Kassouf 《Urologic oncology》2014,32(4):441-448
ObjectiveTo evaluate the effect of body mass index (BMI) on the outcomes of patients with urinary tract carcinoma treated with radical surgery.Materials and methodsData were collected from 10 Canadian centers on patients who underwent radical cystectomy (RC) (1998–2008) or radical nephroureterectomy (RNU) (1990–2010). Various parameters among subsets of patients (BMI<25, 25≤BMI<30, and BMI≥30 kg/m2) were analyzed. Kaplan-Meier and multivariate analyses were performed to assess the effect of BMI on overall survival, disease-specific survival, and recurrence-free survival (RFS).ResultsAmong the 847 RC and 664 RNU patients, there was no difference in histology, stage, grade, and margin status among the 3 patient subsets undergoing either surgery. However, RC patients with lower BMIs (<25 kg/m2) were significantly older (P = 0.004), had more nodal metastasis (P = 0.03), and trended toward higher stage (P = 0.052). RNU patients with lower BMIs (<25 kg/m2) were significantly older (P = 0.0004) and fewer received adjuvant chemotherapy (P = 0.04) compared with those with BMI≥30 kg/m2; however, there was no difference in tumor location (P = 0.20), stage (P = 0.48), and management of distal ureter among the groups (P = 0.30). On multivariate analysis, BMI was not prognostic for overall survival, disease-specific survival, and RFS in the RC group. However, BMI≥30 kg/m2 was associated with more bladder cancer recurrences and worse RFS in the RNU group (HR = 1.588; 95% CI: 1.148–2.196; P = 0.0052).ConclusionsIncreased BMI did not influence survival among RC patients. BMI≥30 kg/m2 is associated with worse bladder cancer recurrences among RNU patients; whether this is related to difficulty in obtaining adequate bladder cuff in patients with obesity requires further evaluation. 相似文献
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Nathalie De Castro Olivier Marcy Corine Chazallon Eugène Messou Serge Eholié Jean-Baptiste N'takpe Nilesh Bhatt Celso Khosa Isabel Timana Massango Didier Laureillard Giang Do Chau Anaïs Domergue Valdilea Veloso Rodrigo Escada Sandra Wagner Cardoso Constance Delaugerre Xavier Anglaret Jean-Michel Molina 《The Lancet infectious diseases》2021,21(6):813-822
27.
Vallet Nicolas Ertault Marjan Delaye Jean-Baptiste Chalopin Thomas Villate Alban Drieu La Rochelle Laurianne Lejeune Julien Foucault Amlie Eloit Martin Barin-Le Guellec Chantal Hrault Olivier Colombat Philippe Gyan Emmanuel 《Annals of hematology》2020,99(2):229-239
Annals of Hematology - The prognostic significance of hypercalcemia in lymphoma has only been studied on small series to date. We conducted a retrospective, monocentric, matched-control study that... 相似文献
28.
Karl J. Friston Jean-Baptiste Poline Andrew P. Holmes Chris D. Frith Richard S.J. Frackowiak 《Human brain mapping》1996,4(2):140-151
In this paper we present a general multivariate approach to the analysis of functional imaging studies. This analysis uses standard multivariate techniques to make statistical inferences about activation effects and to describe the important features of these effects. More specifically, the proposed analysis uses multivariate analysis of covariance (ManCova) with Wilk's lambda to test for specific effects of interest (e.g., differences among activation conditions), and canonical variates analysis (CVA) to characterize differential responses in terms of distributed brain systems. The data are subject to ManCova after transformation using their principal components or eigenimages. After significance of the activation effect has been assessed, underlying changes are described in terms of canonical images. Canonical images are like eigenimages but take explicit account of the effects of error or noise. The generality of this approach is assured by the general linear model used in the ManCova. The design and inferences sought are embodied in the design matrix and can, in principle, accommodate most parametric statistical analyses. This multivariate analysis may provide a statistical approach to PET activation studies that 1) complements univariate approaches like statistical parametric mapping, and 2) may facilitate the extension of existing multivariate techniques, like the scaled subprofile model and eigenimage analysis, to include hypothesis testing and statistical inference. © 1996 Wiley-Liss, Inc. 相似文献
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Benoit Romain MD PhD Jean-Baptiste Delhorme MD PhD Gilles Manceau MD PhD Jérémie H Lefevre MD PhD Christophe Tresallet MD PhD Pascale Mariani MD Antonio Iannelli MD PhD Philippe Rouanet MD PhD Guillaume Piessen MD PhD Cécile Brigand MD PhD the AFC working group 《Journal of surgical oncology》2020,122(8):1639-1646