24 research outputs found

    Single-isocenter multiple-target stereotactic radiosurgery for multiple brain metastases: dosimetric evaluation of two automated treatment planning systems

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    Purpose Automated treatment planning systems are available for linear accelerator (linac)-based single-isocenter multi-target (SIMT) stereotactic radiosurgery (SRS) of brain metastases. In this study, we compared plan quality between Brainlab Elements Multiple Brain Metastases (Elements MBM) software which utilizes dynamic conformal arc therapy (DCAT) and Varian HyperArc (HA) software using a volumetric modulated arc therapy (VMAT) technique. Patients and methods Between July 2018 and April 2021, 36 consecutive patients >= 18 years old with 367 metastases who received SIMT SRS at UPMC Hillman Cancer San Pietro Hospital, Rome, were retrospectively evaluated. SRS plans were created using the commercial software Elements MBM SRS (Version 1.5 and 2.0). Median cumulative gross tumor volume (GTV) and planning tumor volume (PTV) were 1.33 cm(3) and 3.42 cm(3), respectively. All patients were replanned using HA automated software. Extracted dosimetric parameters included mean dose (D-mean) to the healthy brain, volumes of the healthy brain receiving more than 5, 8,10, and 12 Gy (V-5Gy, V-8Gy, V-10Gy and V-12Gy), and doses to hippocampi. Results Both techniques resulted in high-quality treatment plans, although Element MBM DCAT plans performed significantly better than HA VMAT plans, especially in cases of more than 10 lesions). Median V-12Gy was 13.6 (range, 1.87-45.9) cm(3) for DCAT plans and 18.5 (2.2-62,3) cm(3) for VMAT plans (p < 0.0001), respectively. Similarly, V-10Gy, V-8Gy, V-5Gy (p < 0.0001) and median dose to the normal brain (p = 0.0001) were favorable for DCAT plans. Conclusions Both Elements MBM and HA systems were able to generate high-quality plans in patients with up to 25 brain metastases. DCAT plans performed better in terms of normal brain sparing, especially in patients with more than ten lesions and limited total tumor volume

    Quantitative quality indicators and automated radiotherapy care paths

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    INTRODUCTION High quality standards are often the key for success in modern radiotherapy. The goal of this study is to assess automated and targeted care paths to define new quantitative quality indicators in radiation oncology and optimize the efficiency and safety of the services provided. MATERIALS AND METHODS For this study, two international cancer centers part of the same network (UPMC San Pietro in Rome (CC#1) and UPMC Villa Maria in Mirabella Eclano (CC#2)) have been involved, both equipped with a linear accelerator and a CT scan.  The data reviewed refers to a period between January 2019 and December 2019. Following the workflow of both centers during electronic medical record data input, we created automated models adaptable to the different types of treatment and customizable for each patient. Using the ARIA v15 (Varian Medical System, CA, Palo Alto, USA) software, we converted the various steps of the care path in modules that can be connected to create the patient's care process. Care paths are therefore modules of an automated process consisting of tasks and appointments, with well-defined execution times within which they must be completed electronically. To obtain quantitative information on both centers we focused on three factors: tasks completed in relation to their execution times, number of days, and staff compliance with the automated system. RESULTS Measuring the completed tasks allows to define the compliance of the automated process with the care paths, whereas the time required to complete the tasks helps identify areas for improvement. Within this study timeouts are always performed on time, but peer review and treatment approval outcomes are unsatisfactory. A defined delay time allows to keep track of tasks in a precise manner and reviewing these values in both centers helps us understand if the task delivery time is appropriate or if there is room for improvement. All analyzed data show that the percentage of tasks completed in both centers and the completion times are different. CONCLUSIONS Automated care paths and their modules can be an effective and efficient tool to measure the tasks performed by a radiation oncology unit, especially if they are used as a tool of continuous quality improvement

    The impact of the SARS-CoV-2 pandemic on the workloads of UPMC advanced radiotherapy centers in Italy

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    GOALS The Advanced Radiotherapy Centers of UPMC San Pietro FBF of Rome (CC#1) and UPMC Villa Maria of Mirabella Eclano (CC#2) conducted a study to review variations in department workloads and workflows experienced during the pandemic. The potential relation between these variations and the new procedures introduced to prevent and contain the COVID-19 infection was also studied. MATERIALS AND METHODS The data used were obtained from reports present in the ARIA® system (v. 15.1 Varian Medical Systems, Palo Alto, CA, U.S.A.). To examine the workloads was used the Downtime, an indicator that directly quantifies the inactivity of the department, derived from the ratio between the daily stand-by time of the LINACs (TrueBeam STx®, Varian Medical Systems, Palo Alto, CA, U.S.A.) and the mean number of treatments performed every day. In order to examine the workflows and possible delays, we measured the time between the treatments ("Therapy intervals"). RESULTS The Downtime average at CC#1 slightly increased from 3.1% in 2019 to 3.8% in 2020. However, the monthly analysis shows significant reduction (March-April-May) and increase (November-December) peaks. At CC#2, the 2020 Downtime trend was fairly consistent (average value: 3.3%), with an increase during the first wave of the pandemic. The "5-10 min" Therapy intervals at CC#1, reviewed comparing the March-April-May 2020 quarter with 2019, were higher in the first months and lower in May; the "10-15 min" intervals were stable; the ">20 min" intervals slightly increased in March 2020. At CC#2, the trend in 2020 decreased during the months of higher health care emergency and increased during the summer months. CONCLUSIONS The fact that the trends of the indicators show peaks only during the periods of major health care emergency indicates an impact of the pandemic, both on the workload and on the workflow. However, they also highlight the staff's ability to rapidly adapt to the new procedures, without affecting the overall performance of the both centers

    Indicatori di qualità quantitativi e percorsi di cura automatizzati in radioterapia

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    INTRODUZIONE I successi della moderna radioterapia sono spesso guidati da elevati standard di qualità. Questo studio punta a valutare percorsi di cura automatizzati e personalizzabili per definire nuovi indicatori di qualità quantitativi in radioterapia oncologica, al fine di ottimizzare l’efficienza e la sicurezza dei servizi erogati. MATERIALI E METODI Per questo studio, sono stati coinvolti due centri oncologici internazionali appartenenti allo stesso network (UPMC San Pietro di Roma (CC#1) ed UPMC Villa Maria di Mirabella Eclano (CC#2)), entrambi dotati di un acceleratore lineare ed uno scanner TC.  L’analisi dei dati ha preso in considerazione il periodo compreso tra gennaio 2019 e dicembre 2019. Seguendo il workflow delle attività di entrambi i centri, nello sviluppo della cartella clinica elettronica, sono stati creati dei modelli automatizzati adattabili alle differenti tipologie di trattamento, e quindi personalizzabili per ciascun paziente: utilizzando il software ARIA v15 (Varian Medical System, CA, Palo Alto, USA), abbiamo convertito tutti gli step del percorso di cura del paziente in moduli che hanno la possibilità di essere collegati per andare a formare il processo di cura del paziente stesso. I “Carepaths” infatti, rappresentano dei moduli in un processo automatizzato all’interno dei quali sono presenti attività (“task”) e appuntamenti (“appointment”), aventi dei tempi di esecuzione ben definiti entro i quali devono essere completati elettronicamente. Per avere un riferimento in merito alle prestazioni in termini quantitativi riguardo i centri, abbiamo focalizzato l’attenzione su tre fattori: percentuale di attività completate in relazione al tempo di esecuzione, giorni trascorsi e compliance dello staff con l’utilizzo di questo sistema automatizzato. RISULTATI La misurazione delle attività completate consente di definire la conformità del processo automatizzato ai percorsi assistenziali, mentre le tempistiche del completamento delle attività consentono di determinare le aree di miglioramento. In questo studio, i "Timeout" vengono sempre eseguiti con puntualità, ma i risultati su "Peer Review" e "Treatment Approval" non sono soddisfacenti. Un tempo di ritardo definito ci consente di tenere traccia delle attività in modo preciso, e l’analisi di questi valori in entrambi i centri oncologici presi in analisi, ci consente di capire se il tempo di consegna per le attività è appropriato o se c'è un margine di miglioramento. Tutti i dati osservati mostrano che la percentuale di attività completate in entrambi i centri oncologici e i tempi trascorsi per il completamento delle stesse sono differenti. CONCLUSIONI I percorsi assistenziali automatizzati, con i relativi moduli, possono essere uno strumento valido ed efficiente per misurare le attività in un reparto di radioterapia oncologica, soprattutto se utilizzati come strumento di miglioramento continuo della qualità delle prestazioni

    Stereotactic MR-guided adaptive radiotherapy (SMART) for primary rectal cancer: evaluation of early toxicity and pathological response

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    Background: The purpose of this study is to measure the effects of stereotactic MR-guided adaptive radiotherapy (SMART) for rectal cancer patients in terms of early toxicity and pathological response. Materials and methods: For this prospective pilot study, patients diagnosed with locally advanced rectal cancer (LARC) with positive lymph node clinical staging underwent SMART on rectal lesion and mesorectum using hybrid MR-Linac (MRIdian ViewRay). Dose prescription at 80% isodose for the rectal lesion and mesorectum was 40 Gy (8 Gy/fr) and 25 Gy (5 Gy/fr), respectively, delivered on 5 days (3 fr/week). Response assessment by MRI was performed 3 weeks after SMART, then patients fit for surgery underwent total mesorectal excision. Primary endpoint was evaluation of adverse effect of radiotherapy. Secondary endpoint was pathological complete response rate. Early toxicity was graded according to the Common Terminology Criteria for Adverse Events (CTCAE v5.0). Results: From October 2020 to January 2022, twenty patients underwent rectal SMART. No grade 3–5 toxicity was recorded. Twelve patients were eligible for total mesorectal excision (TME). Mean interval between the completion of SMART and surgery was 4 weeks. Pathological downstaging occurred in all patients; rate of pathological complete response (pCR) was 17%. pCR occurred with a prolonged time to surgery (> 7 weeks). Conclusion: To our knowledge, this is the first study to use stereotactic radiotherapy for primary rectal cancer. SMART for rectal cancer is well tolerated and effective in terms of tumor regression, especially if followed by delayed surgery.

    Clinical Outcomes and Toxicity of CT-guided High Dose-rate Brachytherapy in Women With Locally-advanced Cervical Cancer

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    Background/Aim: To evaluate the outcome and toxicities in patients with locally advanced cervical cancer (LACC) treated with radiochemotherapy and intracavitary brachytherapy. Patients and Methods: This study included 67 patients with LACC treated between 2010 and 2018. The most represented stage was FIGO IIB. The patients were treated with external beam radiotherapy (EBRT) to the pelvis and boost to the cervix and parametrials. Concomitant chemotherapy (CHT) with cisplatin (CDDP) 40 mg/mq was planned. Subsequently, the patients underwent CT-based endouterine brachytherapy (BT). The response was evaluated at 3 months with PET-CT and/or pelvic magnetic resonance imaging (MRI). Since then, the patients have been followed with clinical instrumental controls every 4 months for the first 2 years and every 6 months for the following 3 years. Local response was assessed with pelvic MRI and/or PET-CT scan at the end of intracavitary BT) according to RECIST 1.1 criteria. Results: The median duration of treatment was 55 days (range=40-73 days). The prescription dose to the planning target volume (PTV) was delivered in 25 to 30 (median 28) daily fractions. The EBRT median dose to the pelvis and gross tumor volume were 50.4 Gy (range=45-56.25) and 61.6 Gy (range=45-70.4), respectively. The 1-year, 2-year, 3-year, and 5-year overall survival rates were 92.44%, 80.81%, 78.84%, and 76.45% respectively. The actuarial 1-year, 2-year, 3-year, and 5-year disease-free survival rates were 89.5%, 83.6%, 81%, and 78.2% respectively. Conclusion: This study analyzed acute and chronic toxicity, survival, and local control in cervical cancer patients treated with IMRT followed by CT-planned high dose rate-brachytherapy. Patients demonstrated satisfactory outcomes and incidence of acute and late toxicities

    Impatto della pandemia da SARS-CoV-2 sui workload di due centri UPMC di radioterapia ad alta specializzazione in Italia

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    OBIETTIVI I Centri di Radioterapia UPMC San Pietro FBF di Roma (CC#1) e UPMC Villa Maria di Mirabella Eclano (CC#2) hanno condotto uno studio con l’obiettivo di analizzare le variazioni avvenute durante la pandemia sui workload e i workflow di reparto. È stato, inoltre, ricercato l’eventuale nesso tra queste e l’introduzione di nuove procedure per la prevenzione e il contenimento del contagio da Covid-19. MATERIALI E METODI I dati utilizzati sono stati ricavati da reports presenti nel sistema ARIA (V.15.1 Varian Medical System, CA, Palo Alto, USA). Per esaminare i workload è stato utilizzato il Downtime, un indicatore che quantifica direttamente l'inattività del reparto, ricavato dal rapporto tra il tempo di standby giornaliero dei LINAC (TrueBeam STx®, Varian Medical System, CA, Palo Alto, USA) e la media di trattamenti giornalieri effettuati. Per esaminare workflow ed eventuali ritardi tra le attività, sono stati valutati gli intervalli di tempo tra una terapia e la successiva (Intervalli di terapia). RISULTATI Il Downtime nel CC#1 ha subìto un leggero aumento del valore medio dal 3.1% del 2019 al 3.8% del 2020, tuttavia l’analisi mensile mostra consistenti picchi di riduzione (marzo-aprile-maggio) e di incremento (novembre-dicembre). Per il CC#2 il trend del Downtime nel 2020 è abbastanza regolare (valore medio del 3,3%), con un incremento durante la prima ondata della pandemia. Gli Intervalli di terapia di “5-10 min” nel CC#1, analizzati confrontando il trimestre marzo-aprile-maggio 2020 col 2019, risultano maggiori per i primi mesi e ridotti a maggio; quelli di “10-15” min risultano stabili; quelli “>20 min” sono leggermente aumentati a marzo 2020. Per il CC#2 il trend nel 2020 decresce nei mesi di maggiore emergenza sanitaria e incrementa nei mesi estivi. CONCLUSIONI Il fatto che i trend degli indicatori utilizzati abbiano dei picchi esclusivamente in corrispondenza dei periodi di maggiore emergenza sanitaria, è indice di un certo impatto – sia in termini di workload che di workflow – della pandemia, ma anche della capacità del personale di adattarsi in breve tempo alle nuove procedure da eseguire, senza inficiare sul rendimento generale dei Centri

    The wide-field, multiplexed, spectroscopic facility WEAVE : survey design, overview, and simulated implementation

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    Funding for the WEAVE facility has been provided by UKRI STFC, the University of Oxford, NOVA, NWO, Instituto de Astrofísica de Canarias (IAC), the Isaac Newton Group partners (STFC, NWO, and Spain, led by the IAC), INAF, CNRS-INSU, the Observatoire de Paris, Région Île-de-France, CONCYT through INAOE, Konkoly Observatory (CSFK), Max-Planck-Institut für Astronomie (MPIA Heidelberg), Lund University, the Leibniz Institute for Astrophysics Potsdam (AIP), the Swedish Research Council, the European Commission, and the University of Pennsylvania.WEAVE, the new wide-field, massively multiplexed spectroscopic survey facility for the William Herschel Telescope, will see first light in late 2022. WEAVE comprises a new 2-degree field-of-view prime-focus corrector system, a nearly 1000-multiplex fibre positioner, 20 individually deployable 'mini' integral field units (IFUs), and a single large IFU. These fibre systems feed a dual-beam spectrograph covering the wavelength range 366-959 nm at R ∼ 5000, or two shorter ranges at R ∼ 20,000. After summarising the design and implementation of WEAVE and its data systems, we present the organisation, science drivers and design of a five- to seven-year programme of eight individual surveys to: (i) study our Galaxy's origins by completing Gaia's phase-space information, providing metallicities to its limiting magnitude for ∼ 3 million stars and detailed abundances for ∼ 1.5 million brighter field and open-cluster stars; (ii) survey ∼ 0.4 million Galactic-plane OBA stars, young stellar objects and nearby gas to understand the evolution of young stars and their environments; (iii) perform an extensive spectral survey of white dwarfs; (iv) survey  ∼ 400 neutral-hydrogen-selected galaxies with the IFUs; (v) study properties and kinematics of stellar populations and ionised gas in z 1 million spectra of LOFAR-selected radio sources; (viii) trace structures using intergalactic/circumgalactic gas at z > 2. Finally, we describe the WEAVE Operational Rehearsals using the WEAVE Simulator.PostprintPeer reviewe

    The wide-field, multiplexed, spectroscopic facility WEAVE: Survey design, overview, and simulated implementation

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    WEAVE, the new wide-field, massively multiplexed spectroscopic survey facility for the William Herschel Telescope, will see first light in late 2022. WEAVE comprises a new 2-degree field-of-view prime-focus corrector system, a nearly 1000-multiplex fibre positioner, 20 individually deployable 'mini' integral field units (IFUs), and a single large IFU. These fibre systems feed a dual-beam spectrograph covering the wavelength range 366-959\,nm at R5000R\sim5000, or two shorter ranges at R20000R\sim20\,000. After summarising the design and implementation of WEAVE and its data systems, we present the organisation, science drivers and design of a five- to seven-year programme of eight individual surveys to: (i) study our Galaxy's origins by completing Gaia's phase-space information, providing metallicities to its limiting magnitude for \sim3 million stars and detailed abundances for 1.5\sim1.5 million brighter field and open-cluster stars; (ii) survey 0.4\sim0.4 million Galactic-plane OBA stars, young stellar objects and nearby gas to understand the evolution of young stars and their environments; (iii) perform an extensive spectral survey of white dwarfs; (iv) survey 400\sim400 neutral-hydrogen-selected galaxies with the IFUs; (v) study properties and kinematics of stellar populations and ionised gas in z<0.5z<0.5 cluster galaxies; (vi) survey stellar populations and kinematics in 25000\sim25\,000 field galaxies at 0.3z0.70.3\lesssim z \lesssim 0.7; (vii) study the cosmic evolution of accretion and star formation using >1>1 million spectra of LOFAR-selected radio sources; (viii) trace structures using intergalactic/circumgalactic gas at z>2z>2. Finally, we describe the WEAVE Operational Rehearsals using the WEAVE Simulator.Comment: 41 pages, 27 figures, accepted for publication by MNRA
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