11 |
Analyse des images de tomographie par émission de positons pour la prédiction de récidive du cancer du col de l'utérus / Analysis of positron emission tomography images for recurrence prediction of cervical cancerRoman Jimenez, Geoffrey 25 March 2016 (has links)
Ces travaux de thèse s'inscrivent dans le contexte de la prédiction de la récidive en radiothérapie du cancer de l'utérus. L'objectif était d'analyser les images de tomographie par émission de positons (TEP) au 18F-fluorodésoxyglucose (18F-FDG) en vue d'en extraire des paramètres quantitatifs statistiquement corrélés aux événements de récidive. Six études ont été réalisées afin de répondre aux différentes problématiques soulevées par l'analyse des images 18F-FDG TEP telles que la présence d'artefact, l'isolation du métabolisme tumoral ou l'évaluation du signal en cours de traitement. Les études statistiques ont porté sur l'analyse de paramètres reflétant l'intensité, la forme et la texture du métabolisme tumoral avant, et en cours de traitement. À l'issue de ces travaux, le volume métabolique tumoral pré-thérapeutique ainsi que la glycolyse totale de la lésion per-thérapeutique apparaissent comme les paramètres les plus prometteurs pour la prédiction de récidive de cancers du col de l'utérus. De plus, il apparaît que la combinaison de ces paramètres avec d'autres caractéristiques de texture ou de forme, à l'aide de modèles statistiques d'apprentissage supervisé ou de modèles de régression plus classiques, ont permis d'augmenter la prédiction des événements de récidive. / This thesis deals with the issue of predicting the recurrence within the context of cervical cancer radiotherapy. The objective was to analyze positron emission tomography (PET) with 18F-fluorodeoxyglucose (18F-FDG) to extract quantitative parameters that could show statistical correlation with tumor recurrence. Six study were performed to address 18F-FDG PET imaging issues such as the presence of bladder uptake artifacts, tumor segmentation impact, as well as the analysis of tumor evolution along the treatment. Statistical analyses were performed among parameters reflecting intensity, shape and texture of the tumor metabolism before, and during treatment. Results show that the pre-treatment metabolic tumor volume and the per-treatment total lesion glycolysis are the most promising parameters for cervical cancer recurrence prediction. In addition, combinations of these parameters with shape descriptors and texture features, using machine-learning methods or regression models, are able to increase the prediction capability.
|
12 |
Atypical Central Neurocytoma with Recurrent Spinal Dissemination over a Period of 20 Years: A Case Report and Review of the LiteratureJuratli, Tareq A., Geiger, Kathrin, Leimert, Mario, Schackert, Gabriele, Kirsch, Matthias 22 January 2014 (has links)
We present an unusual case of a late recurrent central neurocytoma that was rediagnosed as an ependymoma and neurocytoma in accordance with changes in histological classifications. Case Description. A 56-year-old male teacher presented with incomplete transverse syndrome due to several intradural extramedullary tumors at the level of lumbar vertebrae 1–3. The histological diagnosis at the time was atypical ependymoma. One year later, two additional tumors were removed at the L5-S1 vertebral level. For 12 years, the patient remained tumor free on followup. Fourteen years after the initial diagnosis, the patient presented with thoracic paresthesias due to two new extramedullary tumors in the C7-T1 and the T8-T9 vertebral levels. After complete removal of the tumors, a radiological survey revealed an intracranial lesion in the third ventricle. Five months later, an additional lesion recurrence was removed surgically. The most recent histological diagnosis revealed an atypical central neurocytoma. In retrospect, the previous tumors were reclassified as neurocytoma according to the additional immunohistochemistry evidence. Discussion. There is no standard adjuvant treatment regimen for atypical neurocytoma; therefore, the patient is currently under close followup. Modern histopathological diagnosis is essential in these cases. Potential routes for dissemination of the tumor should be considered upon first recurrence.
|
13 |
Bladder Tumor Recurrence after Primary Surgery for Transitional Cell Carcinoma of the Upper Urinary TractOehlschläger, Sven, Baldauf, Anka, Wiessner, Diana, Gellrich, Jörg, Hakenberg, Oliver W., Wirth, Manfred P. January 2004 (has links)
Objective: Primary transitional cell carcinoma (TCC) of the upper urinary tract represents 6–8% of all TCC cases. Nephroureterectomy with removal of a bladder cuff is the treatment of choice. The rates of TCC recurrence in the bladder after primary upper urinary tract surgery described in the literature range between 12.5 and 37.5%. In a retrospective analysis we examined the occurrence of TCC after nephroureterectomy for upper tract TCC in patients without a previous history of bladder TCC at the time of surgery.
Methods: Between 1990 and 2002, 29 patients underwent primary nephroureterectomy for upper tract TCC. The mean age of the patients was 69.5 years. In 5 cases upper urinary tract tumors were multilocular, in the remaining cases unilocular in the renal pelvis (n = 12) or the ureter (n = 12). The follow-up was available for 29 patients with a mean follow-up of 3.37 (0.1–11.2) years.
Results: 11/29 (37.9%) patients had TCC recurrence with 9/11 patients having bladder TCC diagnosed within 2.5 years (0.9–6.0) after nephroureterectomy. 13/29 patients are alive without TCC recurrence, 3/29 patients died due to systemic TCC progression and 5/29 died of unrelated causes without evidence of TCC recurrence.
Conclusion: Our data indicate a high incidence of bladder TCC after nephroureterectomy for primary upper tract TCC of up to 6 years after primary surgery. Because of the high incidence of bladder TCC within the first 3 years of surgery, careful follow-up is needed over at least this period. / Dieser Beitrag ist mit Zustimmung des Rechteinhabers aufgrund einer (DFG-geförderten) Allianz- bzw. Nationallizenz frei zugänglich.
|
Page generated in 0.0717 seconds