0000000000199444

AUTHOR

Franco Marletta

showing 4 related works from this author

Paclitaxel, carboplatin and gemcitabine combination as induction chemotherapy for stage IIIA N2 bulky non-small cell lung cancer

2005

<i>Background:</i> Induction chemotherapy followed by surgical resection or definitive radiotherapy for patients affected by stage IIIA N2 bulky non-small cell lung cancer (NSCLC) has been investigated in several trials. <i>Patients and Methods:</i> In this present study, 52 patients with stage IIIA N2 bulky NSCLC with cytologically or histologically confirmed mediastinal lymph node involvement received paclitaxel 175 mg/mq on day 1, carboplatin AUC 5 on day 1 and gemcitabine 1,000 mg/mq on day 1 and 8 every 3 weeks for three cycles as induction chemotherapy. <i>Results:</i> Objective response (4 complete remission and 36 partial remission) was achieved i…

AdultMaleOncologyCancer Researchmedicine.medical_specialtyLung NeoplasmsPaclitaxelmedicine.drug_classmedicine.medical_treatmentDeoxycytidineAntimetaboliteDisease-Free SurvivalDrug Administration ScheduleCarboplatinchemistry.chemical_compoundCarcinoma Non-Small-Cell LungInternal medicineAntineoplastic Combined Chemotherapy ProtocolsmedicineHumansLung cancerAgedNeoplasm StagingChemotherapybusiness.industryRemission InductionInduction chemotherapyLung cancer Paclitaxel Carboplatin stage III ChemotherapyGeneral MedicineMiddle Agedmedicine.diseaseSurvival AnalysisGemcitabineGemcitabineCarboplatinrespiratory tract diseasesSurgeryRadiation therapyTreatment OutcomeOncologychemistryPaclitaxelChemotherapy AdjuvantFemaleRadiotherapy Adjuvantbusinessmedicine.drug
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A phase II study of induction chemotherapy followed by concurrent chemoradiotherapy in elderly patients with locally advanced non-small-cell lung can…

2007

The optimal management of unresectable locally advanced non-small-cell lung cancer in older patients has not been defined to date. The present phase II study was planned to evaluate the activity and safety of platinum-based induction chemotherapy followed by concurrent chemoradiotherapy in elderly patients with locally advanced non-small-cell lung cancer. Patients received two cycles of paclitaxel (175 mg/m) and carboplatin (area under the curve: 5) day 1, every 3 weeks. Chemoradiotherapy (thoracic radiation therapy) was initiated on day 42 and consisted of 1.8 Gy daily, five times per week over 5 weeks (45.0 Gy target dose) followed by 10 2.0 Gy daily fractions. Concomitant chemotherapy wa…

MaleOncologyCancer Researchmedicine.medical_specialtyLung NeoplasmsSettore MED/06 - Oncologia MedicaLocally advancedPhases of clinical researchDisease-Free SurvivalDrug Administration ScheduleOlder patientsCarcinoma Non-Small-Cell LungInternal medicineAntineoplastic Combined Chemotherapy ProtocolsmedicineHumansPharmacology (medical)Lung cancerAgedNeoplasm StagingPharmacologybusiness.industryInduction chemotherapymedicine.diseaseCombined Modality TherapyNeoadjuvant TherapyOptimal managementConcurrent chemoradiotherapynon-small-cell lung cancerchemoradiotherapyOncologyFemaleNon small cellbusiness
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A fully automatic method for biological target volume segmentation of brain metastases

2016

Leksell Gamma Knife is a mini-invasive technique to obtain a complete destruction of cerebral lesions delivering a single high dose radiation beam. Positron Emission Tomography (PET) imaging is increasingly utilized for radiation treatment planning. Nevertheless, lesion volume delineation in PET datasets is challenging because of the low spatial resolution and high noise level of PET images. Nowadays, the biological target volume (BTV) is manually contoured on PET studies. This procedure is time expensive and operator-dependent. In this article, a fully automatic algorithm for the BTV delineation based on random walks (RW) on graphs is proposed. The results are compared with the outcomes of…

gamma knifePET imagingcerebral tumors segmentation030218 nuclear medicine & medical imagingrandom walk03 medical and health sciences0302 clinical medicinemedicineSegmentationElectrical and Electronic EngineeringRadiation treatment planningCluster analysisImage resolution1707Settore ING-INF/05 - Sistemi Di Elaborazione Delle Informazionimedicine.diagnostic_testbusiness.industryElectronic Optical and Magnetic Materialbiological target volumePattern recognitionThresholdingElectronic Optical and Magnetic MaterialsRegion growingPositron emission tomography030220 oncology & carcinogenesisbiological target volume cerebral tumors segmentation gamma knife PET imaging random walkComputer Vision and Pattern RecognitionArtificial intelligenceNuclear medicinebusinessSoftwareVolume (compression)International Journal of Imaging Systems and Technology
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An automatic method for metabolic evaluation of gamma knife treatments

2015

Lesion volume delineation of Positron Emission Tomography images is challenging because of the low spatial resolution and high noise level. Aim of this work is the development of an operator independent segmentation method of metabolic images. For this purpose, an algorithm for the biological tumor volume delineation based on random walks on graphs has been used. Twenty-four cerebral tumors are segmented to evaluate the functional follow-up after Gamma Knife radiotherapy treatment. Experimental results show that the segmentation algorithm is accurate and has real-time performance. In addition, it can reflect metabolic changes useful to evaluate radiotherapy response in treated patients.

medicine.diagnostic_testComputer sciencebusiness.industrymedicine.medical_treatmentComputer Science (all)PET imagingPattern recognitionLesion volumeRandom walkGamma knifeTheoretical Computer ScienceRadiation therapyBiological target volumeSegmentationBiological target volume Gamma Knife treatment PET imaging Random walk SegmentationPositron emission tomographymedicineSegmentationRadiotherapy treatmentGamma Knife treatmentArtificial intelligenceNoise levelbusinessImage resolution
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