Adresse

Gustave Roussy
114, rue Édouard-Vaillant
94805 Villejuif Cedex - France

Standard

Tel : +33 (0)1 42 11 42 11

Urgences

Gustave Roussy n'assure que les urgences des patients pris en charge à l'Institut.
Urgences uniquement : +33 (0)1 42 11 50 00

GUSTAVE ROUSSY
1er centre de lutte contre le cancer en Europe, 3 000 professionnels mobilisés

Imagerie en cancérologie

Responsable
Stéphanie Pitre Champagnat
Tél.: +33 (0)1 42 11 40 02
E-mail

Frise de présentation (bandeau): 
Imagerie en cancérologie

Publications majeures

Imaging PD-L1 Expression with ImmunoPET.
Truillet C, Oh HLJ, Yeo SP, Lee CY, Huynh LT, Wei J, Parker MFL, Blakely C, Sevillano N, Wang YH, Shen YS, Olivas V, Jami KM, Moroz A, Jego B, Jaumain E, Fong L, Craik CS, Chang AJ, Bivona TG, Wang CI, Evans MJ. Bioconjug Chem. 2018 Jan 17;29(1):96-103

TSPO-PET and diffusion-weighted MRI for imaging a mouse model of infiltrative human glioma.
Pigeon H, Pérès EA, Truillet C, Jego B, Boumezbeur F, Caillé F, Zinnhardt B, Jacobs AH, Le Bihan D, Winkeler A.Neuro Oncol. 2019 Jun 10;21(6):755-764.

A Novel Microflow Phantom Dedicated to Ultrasound Microvascular Measurements.
Grand-Perret V, Jacquet JR, Leguerney I, Benatsou B, Grégoire JM, Willoquet G, Bouakaz A, Lassau N, Pitre-Champagnat S. Ultrason Imaging. 2018 Sep;40(5):325-338

Toward a Standardization of Ultrasound Scanners for Dynamic Contrast-Enhanced Ultrasonography: Methodology and Phantoms.
Pitre-Champagnat S, Coiffier B, Jourdain L, Benatsou B, Leguerney I, Lassau N. Ultrasound Med Biol. 2017 Nov;43(11):2670-2677

Can we trust the calculation of texture indices of CT images? A phantom study.
Caramella C, Allorant A, Orlhac F, Bidault F, Asselain B, Ammari S, Jaranowski P, Moussier A, Balleyguier C, Lassau N, Pitre-Champagnat S. Med Phys. 2018 Apr;45(4):1529-1536

Five simultaneous artificial intelligence data challenges on ultrasound, CT, and MRI.
Lassau N, Estienne T, de Vomecourt P, Azoulay M, Cagnol J, Garcia G, Majer M, Jehanno E, Renard-Penna R, Balleyguier C, Bidault F, Caramella C, Jacques T, Dubrulle F, Behr J, Poussange N, Bocquet J, Montagne S, Cornelis F, Faruch M, Bresson B, Brunelle S, Jalaguier-Coudray A, Amoretti N, Blum A, Paisant A, Herreros V, Rouviere O, Si-Mohamed S, Di Marco L, Hauger O, Garetier M, Pigneur F, Bergère A, Cyteval C, Fournier L, Malhaire C, Drape JL, Poncelet E, Bordonne C, Cauliez H, Budzik JF, Boisserie M, Willaume T, Molière S, Peyron Faure N, Caius Giurca S, Juhan V, Caramella T, Perrey A, Desmots F, Faivre-Pierre M, Abitbol M, Lotte R, Istrati D, Guenoun D, Luciani A, Zins M, Meder JF, Cotten A. Diagn Interv Imaging. 2019 Apr;100(4):199-209.

Diagnosis of focal liver lesions from ultrasound using deep learning.
Schmauch B, Herent P, Jehanno P, Dehaene O, Saillard C, Aubé C, Luciani A, Lassau N, Jégou S. Diagn Interv Imaging. 2019 Apr;100(4):227-233

Molecular Imaging to Predict Response to Targeted Therapies in Renal Cell Carcinoma.
Leguerney I, de Rochefort L, Poirier-Quinot M, Ingels A, Violas X, Robin S, Opolon P, Dubuisson RM, Pitre-Champagnat S, Robert P, Lassau N.
Contrast Media Mol Imaging. 2017 Apr 9;2017:7498538.

Imaging biomarker roadmap for cancer studies.
O'Connor JP, Aboagye EO, Adams JE, Aerts HJ, Barrington SF, Beer AJ, Boellaard R, Bohndiek SE, Brady M, Brown G, Buckley DL, Chenevert TL, Clarke LP, Collette S, Cook GJ, deSouza NM, Dickson JC, Dive C, Evelhoch JL, Faivre-Finn C, Gallagher FA, Gilbert FJ, Gillies RJ, Goh V, Griffiths JR, Groves AM, Halligan S, Harris AL, Hawkes DJ, Hoekstra OS, Huang EP, Hutton BF, Jackson EF, Jayson GC, Jones A, Koh DM, Lacombe D, Lambin P, Lassau N, Leach MO, Lee TY, Leen EL, Lewis JS, Liu Y, Lythgoe MF, Manoharan P, Maxwell RJ, Miles KA, Morgan B, Morris S, Ng T, Padhani AR, Parker GJ, Partridge M, Pathak AP, Peet AC, Punwani S, Reynolds AR, Robinson SP, Shankar LK, Sharma RA, Soloviev D, Stroobants S, Sullivan DC, Taylor SA, Tofts PS, Tozer GM, van Herk M, Walker-Samuel S, Wason J, Williams KJ, Workman P, Yankeelov TE, Brindle KM, McShane LM, Jackson A, Waterton JC. Nat Rev Clin Oncol. 2017 Mar;14(3):169-186.

Characterization of Testicular Masses in Adults: Performance of Combined Quantitative Shear Wave Elastography and Conventional Ultrasound.
Rocher L, Criton A, Gennisson JL, Creze M, Albiges L, Ferlicot S, Bellin MF, Izard V, Correas JM. Ultrasound Med Biol. 2019 Mar;45(3):720-731

Detecting abnormal thyroid cartilages on CT using deep learning.
Santin M, Brama C, Théro H, Ketheeswaran E, El-Karoui I, Bidault F, Gillet R, Gondim Teixeira P, Blum A. Diagn Interv Imaging. 2019 Apr;100(4):251-257

Machine learning defined diagnostic criteria for differentiating pituitary metastasis from autoimmune hypophysitis in patients undergoing immune checkpoint blockade therapy.
Mekki A, Dercle L, Lichtenstein P, Nasser G, Marabelle A, Champiat S, Chouzenoux E, Balleyguier C, Ammari S. Eur J Cancer. 2019 Sep;119:44-56

Preoperative Breast Magnetic Resonance Imaging in Women With Local Ductal Carcinoma in Situ to Optimize Surgical Outcomes: Results From the Randomized Phase III Trial IRCIS.
Balleyguier C, Dunant A, Ceugnart L, Kandel M, Chauvet MP, Chérel P, Mazouni C, Henrot P, Rauch P, Chopier J, Zilberman S, Doutriaux-Dumoulin I, Jaffre I, Jalaguier A, Houvenaeghel G, Guérin N, Callonnec F, Chapellier C, Raoust I, Mathieu MC, Rimareix F, Bonastre J, Garbay JR.
J Clin Oncol. 2019 Apr 10;37(11):885-892

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