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See detailNodal staging of head and neck squamous cell carcinomas : impact of a dedicated PET/CT protocol.
MINON, AL.; CABAY, Jean-Evrard ULg; DEMEZ, Pierre ULg et al

in Journal of Nuclear Medicine (The) (2012), 53(SUPPL), 1354

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See detail(18F)FPRGD2 PET/CT imaging of integrin αvβ3 in renal carcinomas : correlation with histopathology.
WITHOFS, Nadia ULg; SIGNOLLE, N.; NZARAMBA, EM. et al

in Journal of Nuclear Medicine (The) (2012), 53(SUPPL), 1647

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See detailAcute intramural haematoma of the ascending aorta.
Govaerts, L.; WITHOFS, Nadia ULg; Durieux, R. et al

in European Journal of Nuclear Medicine and Molecular Imaging (2012), 39(8), 1368-9

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See detailPET-CT and PET-MRI in Oncology, A practical Guide: Gastrointestinal (135-159)
HUSTINX, Roland ULg

in PELLER, PATRICK; SUBRAMANIAM, RATHAN; GUERMAZI, ALI (Eds.) MEDICAL RADIOLOGY - DIAGNOSIS IMAGING : PET-CT and PET-MRI in Oncology - A pratical Guide (2012)

PET-CT combines in a single imaging session both anatomical and metabolic information. Depending on the strategy, the CT part of the study may yield only crude anatomical information and attenuation ... [more ▼]

PET-CT combines in a single imaging session both anatomical and metabolic information. Depending on the strategy, the CT part of the study may yield only crude anatomical information and attenuation correction for the PET part, or it may offer full radiological diagnostic features. Regarding the radiotracers for gastrointectinal oncology, FDG remains the mainstay but alternative compounds aimed at more specific biological targets are actively tested. In particular Ga-68-labelled DOTA derivatives image somatostatine receptors with exquisite sensitivity and specificity. In clinical practice, several indications are well recognized for FDG PET-CT. These include the initial staging of esophageal, pancreatic and rectal cancers with a clinical impact in a significal proportion of patients. The metabolic activity, as recorded prior to any treatment, holds prognostic information in esophageal and rectal cancers, as well as GISTs. Methodological issues remain to be solved, but the potential is clearly present so that an increased clinical role is highly likely in the near future. FDG PET-CT is a major clinical tool in the detection and staging of recurrent colorectal cancer, and for determining the resectability of liver metastases. Ongoing developments include technological advances, in particular the combined PET-MR devices, and alternative tracers, such as those imaging angiogenesis. [less ▲]

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See detailMetabolic activity in external and internal awareness networks in severely brain-damaged patients.
Thibaut, Aurore ULg; Bruno, Marie-Aurélie ULg; Chatelle, Camille ULg et al

in Journal of Rehabilitation Medicine (2012), 44(6), 487-94

OBJECTIVE: An extrinsic cerebral network (encompassing lateral frontoparietal cortices) related to external/sensory awareness and an intrinsic midline network related to internal/self-awareness have been ... [more ▼]

OBJECTIVE: An extrinsic cerebral network (encompassing lateral frontoparietal cortices) related to external/sensory awareness and an intrinsic midline network related to internal/self-awareness have been identified recently. This study measured brain metabolism in both networks in patients with severe brain damage. DESIGN: Prospective [18F]-fluorodeoxyglucose-positron emission tomography and Coma Recovery Scale-Revised assessments in a university hospital setting. SUBJECTS: Healthy volunteers and patients in vegetative state/unresponsive wakefulness syndrome (VS/UWS), minimally conscious state (MCS), emergence from MCS (EMCS), and locked-in syndrome (LIS). RESULTS: A total of 70 patients were included in the study: 24 VS/UWS, 28 MCS, 10 EMCS, 8 LIS and 39 age-matched controls. VS/UWS showed metabolic dysfunction in extrinsic and intrinsic networks and thalami. MCS showed dysfunction mostly in intrinsic network and thalami. EMCS showed impairment in posterior cingulate/retrosplenial cortices. LIS showed dysfunction only in infratentorial regions. Coma Recovery Scale-Revised total scores correlated with metabolic activity in both extrinsic and part of the intrinsic network and thalami. CONCLUSION: Progressive recovery of extrinsic and intrinsic awareness network activity was observed in severely brain-damaged patients, ranging from VS/UWS, MCS, EMCS to LIS. The predominance of intrinsic network impairment in MCS could reflect altered internal/self-awareness in these patients, which is difficult to quantify at the bedside. [less ▲]

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See detailFunctional neuroanatomy underlying the clinical subcategorization of minimally conscious state patients.
Bruno, Marie-Aurélie ULg; Majerus, Steve ULg; Boly, Mélanie ULg et al

in Journal of Neurology (2012), 259(6), 1087-98

Patients in a minimally conscious state (MCS) show restricted signs of awareness but are unable to communicate. We assessed cerebral glucose metabolism in MCS patients and tested the hypothesis that this ... [more ▼]

Patients in a minimally conscious state (MCS) show restricted signs of awareness but are unable to communicate. We assessed cerebral glucose metabolism in MCS patients and tested the hypothesis that this entity can be subcategorized into MCS- (i.e., patients only showing nonreflex behavior such as visual pursuit, localization of noxious stimulation and/or contingent behavior) and MCS+ (i.e., patients showing command following).Patterns of cerebral glucose metabolism were studied using [(18)F]-fluorodeoxyglucose-PET in 39 healthy volunteers (aged 46 +/- 18 years) and 27 MCS patients of whom 13 were MCS- (aged 49 +/- 19 years; 4 traumatic; 21 +/- 23 months post injury) and 14 MCS+ (aged 43 +/- 19 years; 5 traumatic; 19 +/- 26 months post injury). Results were thresholded for significance at false discovery rate corrected p < 0.05.We observed a metabolic impairment in a bilateral subcortical (thalamus and caudate) and cortical (fronto-temporo-parietal) network in nontraumatic and traumatic MCS patients. Compared to MCS-, patients in MCS+ showed higher cerebral metabolism in left-sided cortical areas encompassing the language network, premotor, presupplementary motor, and sensorimotor cortices. A functional connectivity study showed that Broca's region was disconnected from the rest of the language network, mesiofrontal and cerebellar areas in MCS- as compared to MCS+ patients.The proposed subcategorization of MCS based on the presence or absence of command following showed a different functional neuroanatomy. MCS- is characterized by preserved right hemispheric cortical metabolism interpreted as evidence of residual sensory consciousness. MCS+ patients showed preserved metabolism and functional connectivity in language networks arguably reflecting some additional higher order or extended consciousness albeit devoid of clinical verbal or nonverbal expression. [less ▲]

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See detailTumor-induced osteomalacia: The tumor may stay hidden!
van der Rest, Catherine; CAVALIER, Etienne ULg; KAUX, Jean-François ULg et al

in Clinical Biochemistry (2011), 44(14-15), 1264-6

We report the case of a patient with severe muscular and articular tenderness that caused almost complete immobility. This subject had severe hypophosphatemia due to hyperphosphaturia. Fibroblast growth ... [more ▼]

We report the case of a patient with severe muscular and articular tenderness that caused almost complete immobility. This subject had severe hypophosphatemia due to hyperphosphaturia. Fibroblast growth factor 23 (FGF-23) was abnormally high and the diagnostic of tumor-induced osteomalacia was made. Despite multiple tests, the tumor was not localized. In this report, we discuss different possible investigations to localize the tumor. Lastly, we review the potential therapy available when tumor is not found and can thus not be excised. [less ▲]

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See detailHypophosphatémie et ostéomalacie oncogénique
Van der Rest, Catherine; CAVALIER, Etienne ULg; COLSON, Laurent ULg et al

in Revue Médicale Suisse (2011), 7

In this article, we will discuss about hypophosphatemia due to tumor-induced osteomalacia. This disease is characterized by severe muscular and articular tenderness inducing profound walking limitation ... [more ▼]

In this article, we will discuss about hypophosphatemia due to tumor-induced osteomalacia. This disease is characterized by severe muscular and articular tenderness inducing profound walking limitation. Clinical chemistry results show severe hypophosphatemia due to hyperphosphaturia. Fibroblast growth factor 23 (FGG-23) is abnormally high. Physiological role of FGF-23 is examined. We also consider the pathophysiology of tumor induced osteomalacia, the use of different investigations to localize the tumor and therapies available to treat this rare disease. [less ▲]

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See detailPotentialités quantitatives et qualité d'image de la camera TEMP/TDM Siemens Symbia T6
Seret, Alain ULg; Nguyen, Daniel ULg; HUSTINX, Roland ULg et al

in Médecine Nucléaire : Imagerie Fonctionnelle et Métabolique (2011, May 07), 35

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See detail2-18F-Fluoro-L-tyrosine in the suspicion of recurrence of previously treated gliomas.
AGIUS, C.; NAMUR, Gauthier ULg; COUTURIER, O. et al

in European Journal of Nuclear Medicine and Molecular Imaging (2011), 38(SUPPL), 219

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See detailAssessment of Crohn’s disease activity by FDG-PET/CT through a novel quantitative approach.
SABOURY, B.; HUSTINX, Roland ULg; BROTHERS, B. et al

in Journal of Nuclear Medicine (The) (2011), 52(SUPPL), 284

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See detailEfficacy of FDG PET/CT for diagnosing synchronous tumors and metastases in head and neck tumors : Initial results and evaluation.
MINON, AL.; DEMEZ, Pierre ULg; MOREAU, Pierre ULg et al

in Journal of Nuclear Medicine (The) (2011), 52(SUPPL), 1863

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See detailImagerie des métastases osseuses du cancer du sein
WITHOFS, Nadia ULg; COLLIGNON, Joëlle ULg; HUSTINX, Roland ULg

in Revue Médicale de Liège (2011), 66(5-6), 291-298

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See detail"Relevance vector machine" consciousness classifier applied to cerebral metabolism of vegetative and locked-in patients.
Phillips, Christophe ULg; Bruno, Marie-Aurélie ULg; Maquet, Pierre ULg et al

in NeuroImage (2011), 56(2), 797808

The vegetative state is a devastating condition where patients awaken from their coma (i.e., open their eyes) but fail to show any behavioural sign of conscious awareness. Locked-in syndrome patients also ... [more ▼]

The vegetative state is a devastating condition where patients awaken from their coma (i.e., open their eyes) but fail to show any behavioural sign of conscious awareness. Locked-in syndrome patients also awaken from their coma and are unable to show any motor response to command (except for small eye movements or blinks) but recover full conscious awareness of self and environment. Bedside evaluation of residual cognitive function in coma survivors often is difficult because motor responses may be very limited or inconsistent. We here aimed to disentangle vegetative from "locked-in" patients by an automatic procedure based on machine learning using fluorodeoxyglucose PET data obtained in 37 healthy controls and in 13 patients in a vegetative state. Next, the trained machine was tested on brain scans obtained in 8 patients with locked-in syndrome. We used a sparse probabilistic Bayesian learning framework called "relevance vector machine" (RVM) to classify the scans. The trained RVM classifier, applied on an input scan, returns a probability value (p-value) of being in one class or the other, here being "conscious" or not. Training on the control and vegetative state groups was assessed with a leave-one-out cross-validation procedure, leading to 100% classification accuracy. When applied on the locked-in patients, all scans were classified as "conscious" with a mean p-value of .95 (min .85). In conclusion, even with this relatively limited data set, we could train a classifier distinguishing between normal consciousness (i.e., wakeful conscious awareness) and the vegetative state (i.e., wakeful unawareness). Cross-validation also indicated that the clinical classification and the one predicted by the automatic RVM classifier were in accordance. Moreover, when applied on a third group of "locked-in" consciously aware patients, they all had a strong probability of being similar to the normal controls, as expected. Therefore, RVM classification of cerebral metabolic images obtained in coma survivors could become a useful tool for the automated PET-based diagnosis of altered states of consciousness. [less ▲]

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See detail18F-fluoride PET/CT for assessing bone involvement in prostate and breast cancers
Withofs, Nadia ULg; Grayet, Benjamin ULg; Tancredi, Tino ULg et al

in Nuclear Medicine Communications (2011), 32(3), 168-176

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