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2. Impact of Software Modeling on the Accuracy of Perfusion MRI in Glioma

Author

Hu, LS, Kelm, Z, Korfiatis, P, Dueck, AC, Elrod, C, Ellingson, BM, Kaufmann, TJ, Eschbacher, JM, Karis, JP, Smith, K, Nakaji, P, Brinkman, D, Pafundi, D, Baxter, LC, and Erickson, BJ

Subjects
Brain Cancer, Clinical Research, Biomedical Imaging, Cancer, Rare Diseases, Brain Disorders, Neurosciences, Adult, Aged, Brain Neoplasms, Cerebrovascular Circulation, Female, Glioma, Humans, Image Interpretation, Computer-Assisted, Magnetic Resonance Imaging, Male, Middle Aged, Models, Neurological, Perfusion, Software, Clinical Sciences, Nuclear Medicine & Medical Imaging
Abstract

Background and purposeRelative cerebral blood volume, as measured by T2*-weighted dynamic susceptibility-weighted contrast-enhanced MRI, represents the most robust and widely used perfusion MR imaging metric in neuro-oncology. Our aim was to determine whether differences in modeling implementation will impact the correction of leakage effects (from blood-brain barrier disruption) and the accuracy of relative CBV calculations as measured on T2*-weighted dynamic susceptibility-weighted contrast-enhanced MR imaging at 3T field strength.Materials and methodsThis study included 52 patients with glioma undergoing DSC MR imaging. Thirty-six patients underwent both non-preload dose- and preload dose-corrected DSC acquisitions, with 16 patients undergoing preload dose-corrected acquisitions only. For each acquisition, we generated 2 sets of relative CBV metrics by using 2 separate, widely published, FDA-approved commercial software packages: IB Neuro and nordicICE. We calculated 4 relative CBV metrics within tumor volumes: mean relative CBV, mode relative CBV, percentage of voxels with relative CBV > 1.75, and percentage of voxels with relative CBV > 1.0 (fractional tumor burden). We determined Pearson (r) and Spearman (ρ) correlations between non-preload dose- and preload dose-corrected metrics. In a subset of patients with recurrent glioblastoma (n = 25), we determined receiver operating characteristic area under the curve for fractional tumor burden accuracy to predict the tissue diagnosis of tumor recurrence versus posttreatment effect. We also determined correlations between rCBV and microvessel area from stereotactic biopsies (n = 29) in 12 patients.ResultsWith IB Neuro, relative CBV metrics correlated highly between non-preload dose- and preload dose-corrected conditions for fractional tumor burden (r = 0.96, ρ = 0.94), percentage > 1.75 (r = 0.93, ρ = 0.91), mean (r = 0.87, ρ = 0.86), and mode (r = 0.78, ρ = 0.76). These correlations dropped substantially with nordicICE. With fractional tumor burden, IB Neuro was more accurate than nordicICE in diagnosing tumor versus posttreatment effect (area under the curve = 0.85 versus 0.67) (P < .01). The highest relative CBV-microvessel area correlations required preload dose and IB Neuro (r = 0.64, ρ = 0.58, P = .001).ConclusionsDifferent implementations of perfusion MR imaging software modeling can impact the accuracy of leakage correction, relative CBV calculation, and correlations with histologic benchmarks.

Published
2015

3. How future surgery will benefit from SARS-COV-2-related measures: a SPIGC survey conveying the perspective of Italian surgeons

Author

Siragusa, L, Angelico, R, Angrisani, M, Zampogna, B, Materazzo, M, Sorge, R, Giordano, L, Meniconi, R, Coppola, A, Marino, A, Giraudo, G, Esposito, S, Urbani, A, De Pastena, M, Mastrapasqua, R, Garancini, M, Frontal, A, Pascal, G, Martellucc, J, Falb, F, Boscarelli, A, Bertoglio, P, Trecca, E, Galassi, L, Vento, V, Chiappini, A, Antonelli, A, Bennardo, F, Familiari, F, Giannaccare, G, Zappia, A, Giuliani, G, Falcone, F, Sebastiani, S, Montuori, M, Rossi, S, Sagnotta, A, Giuliani, B, Imbriani, G, Restaino, S, Andreani, L, Di Maria, F, Lagana, A, Vitiello, L, Berton, F, Virgilio, E, Palisi, M, Portigliotti, L, Calussi, M, Conti, L, Mauriello, C, Barone, M, Saladino, E, Giaquinta, A, Zerb, D, Frazzetta, G, Merola, G, Chierici, A, Bini, R, Centonze, L, De Carlis, R, Ferrario, L, Giani, A, Lauterio, A, Tamini, N, Corti, S, Botteri, E, Andreuccetti, J, D'Alessio, R, Cestaro, G, Clarizia, G, Spolini, A, Carboni, A, Benzoni, E, Galiffa, G, Perotti, B, Veroux, M, Randazzo, V, Topa, D, Pranteda, C, Contini, G, Iacusso, C, Voglino, V, Vita, P, Carrano, F, Ambrosio, L, Cammarata, R, Capolupo, G, Caputo, D, Carannante, F, Cascone, C, Esperto, F, Farolfi, T, Frasca, L, Gallo, I, Gibin, G, Giurazza, G, Improta, L, La Vaccara, V, Luffarelli, P, Luvero, D, Marangi, G, Masciana, G, Mazzola, A, Mazzotta, E, Miligi, C, Montelione, N, Nenna, A, Orsaria, P, Papalia, R, Papalia, G, Parisi, F, Prata, F, Salzillo, R, Santini, S, Sofo, F, Zampoli, A, Tanda, C, Altieri, G, Ardito, F, Belia, F, Bianchi, V, Biondi, A, Brisinda, G, Chiappetta, M, Ciolli, G, Ciolli, A, Ferracci, F, Ferri, L, Fico, V, Fiorillo, C, Fransvea, P, Galiandro, F, Giovinazzo, F, La Greca, A, Litta, F, Mele, C, Pafundi, D, Panettieri, E, Papa, V, Patini, R, Perrotta, G, Puccioni, C, Santocchi, P, Armatura, G, Olmi, S, Casoni Pattacini, G, Salgarello, S, Trompetto, M, Bombardini, C, La Rocca, R, Celentano, G, Micalef, A, Mazzella, A, Settembrini, A, Zoia, C, Degrate, L, Musumeci, G, Palopoli, C, Montori, G, Bonati, E, Dinuzzi, V, Velluti, F, Balla, A, Bonasia, D, Coletta, D, Berardi, G, Colasanti, M, Ferretti, S, Gasparoli, C, Mariano, G, Avenia, S, Cianci, P, Cestino, L, Festa, F, Fazio, F, Ascari, F, Desio, M, Arroyo Murillo, G, Cereda, M, Galleano, R, David, G, Pansini, A, Gazia, C, Atzori, G, Desideri, L, Famularo, S, Galvanin, J, Giudici, V, Mangiameli, G, Mei, S, Milana, F, Pansa, A, Sacchi, M, Testori, A, Di Carlo, G, Paratore, M, Perrone, U, Vagge, A, Vigano, J, Torre, B, Scotti, M, Carbone, G, Cerchione, R, De Nardi, P, Gozzini, L, Ottaviani, L, Senni, C, Piccin, O, Pio, L, Colombo, F, Avantifiori, R, Baldassarri, V, Caronna, R, Cicerchia, P, Corallino, D, Crocetti, D, Gallo, G, Giovanardi, F, Giovannetti, F, Hassan, R, Iossa, A, Lai, Q, Lancellotti, F, Lucarini, A, Lucchese, S, Mazzarella, G, Melandro, F, Minervini, A, Muttillo, E, Palmieri, L, Pasqua, R, Rosiello, F, Salina, G, Sibio, S, Sirignano, P, Tarallo, M, Usai, S, Vanni, C, Viglietta, E, Zambon, M, Conversano, N, Epifani, A, Milano, V, Sacco, L, Nava, M, Maffioli, A, Giuratrabocchetta, S, Baracchi, F, Zuolo, M, Ceresoli, M, Verdi, D, Belli, A, Pata, F, Piovano, E, Pastore, G, Bernabei, F, Deiana, S, Arceri, A, D'Agostino, C, Marafante, C, Moggia, E, Parini, S, Moretti, M, Uggeri, F, Pontarolo, N, Fontana, T, Palmisano, G, Giuffrida, M, Guaitoli, E, Ferretti, C, Iacopino, G, Gioco, R, Roscitano, G, Montanelli, P, Pinotti, E, Monati, E, Fazio, G, Di Pietro, F, Damarco, F, Barberis, A, Razzore, A, Pascale, A, Loi, S, Ferrara, F, Rossi, M, Lisi, G, Viel, G, Sasia, D, Bono, D, Cordaro, E, Giacomelli, E, Giani, I, Seriau, L, Pellino, G, Sparavigna, M, Trigiante, G, D'Ambrogio, R, Cardella, F, Guzzetti, S, Luzzi, A, Carganico, G, Drago, B, Micheletto, G, Orlandi, R, Cutolo, C, Gibello, U, Mistrangelo, M, Forcignano, E, D'Ugo, S, Losurdo, P, Manitto, M, Caroli, G, Franco, M, Tilocca, P, Mendogni, P, Sena, G, Sambucci, D, Luciani, C, Atelli, P, Guida, A, Marino, F, Morini, A, Sibilla, M, Longo, F, Giaccari, S, Vigorita, V, Balduzzi, A, Barra, F, Delogu, D, Milone, E, Bencini, L, Aprile, V, Papini, P, Montemurro, N, Cavallo, M, Picciariello, A, Tomasicchio, G, Fittipaldi, A, Maruccia, M, Gerardi, S, Cillara, N, Deidda, S, Demarinis, G, Peiretti, E, Tatti, F, Iovino, C, Isola, G, Progno, V, Migliore, M, Badessi, G, Barilla, C, Calleri, G, Cianci, S, Fama, F, Fleres, F, Mazzeo, C, Visaloco, M, Marchetto, C, Bolognesi, F, Benuzzi, L, Bracchetti, G, Brucchi, F, Manzo, C, Scaravilli, L, Ferrari, C, Rocca, A, Napolitano, P, Anoldo, P, Caricato, C, Manigrasso, M, Milone, M, Napolitano, L, Palomba, G, Schiavone, V, Vetrella, M, Grossi, U, Moletta, L, Annicchiarico, A, Vella, I, Talesa, G, Boggi, U, Aiello, F, Anselmo, A, Bacchiocchi, G, Beati, F, Bellato, V, Billeci, F, Blasi, F, Buonomo, O, Campanelli, M, Coco, G, Contadini, A, Conte, L, D'Ippolito, G, Di Marcantonio, A, Spicchiale, C, Afflitto, G, Gismondi, A, Gorgolini, G, Granai, A, Grande, S, Gravina, A, Ingallinella, S, Keci, L, Latini, E, Marino, D, Oddi, F, Orecchia, L, Don, C, Pellicciaro, M, Petagna, L, Pirozzi, B, Quaranta, C, Rho, M, Rosina, A, Santicchia, M, Saraceno, F, Schiavone, A, Sensi, B, Spina, A, Sullo, L, Tacconi, F, Taje, R, Vanni, G, Vinci, D, Vita, G, Alba, G, Badalucco, S, Carbone, L, Samorani, O, Chisci, G, Cuomo, R, Francia, A, Fusario, D, Gargiulo, B, Pasqui, E, Pasquetti, L, Puoti, P, Resca, L, Cumbo, J, Ganio, S, Vizzielli, G, Anastasi, M, Guerra, D, Romanzi, A, Vannelli, A, Baia, M, Siragusa L., Angelico R., Angrisani M., Zampogna B., Materazzo M., Sorge R., Giordano L., Meniconi R., Coppola A., Marino A., Giraudo G., Esposito S., Urbani A., De Pastena M., Mastrapasqua R., Garancini M., Frontal A., Pascal G., Martellucc J., Falb F., Boscarelli A., Bertoglio P., Trecca E., Galassi L., Vento V., Chiappini A., Antonelli A., Bennardo F., Familiari F., Giannaccare G., Zappia A. S., Giuliani G., Falcone F., Sebastiani S., Montuori M., Rossi S., Sagnotta A., Giuliani B., Imbriani G. C., Restaino S., Andreani L., Di Maria F., Lagana A. S., Vitiello L., Berton F., Virgilio E., Palisi M., Portigliotti L., Calussi M., Conti L., Mauriello C., Barone M., Saladino E., Giaquinta A., Zerb D., Frazzetta G., Merola G., Chierici A., Bini R., Centonze L., De Carlis R., Ferrario L., Giani A., Lauterio A., Tamini N., Corti S., Botteri E., Andreuccetti J., D'Alessio R., Cestaro G., Clarizia G., Spolini A., Carboni A. S., Benzoni E., Galiffa G., Perotti B., Veroux M., Randazzo V., Topa D., Pranteda C., Contini G., Iacusso C., Voglino V., Vita P., Carrano F. M., Ambrosio L., Cammarata R., Capolupo G. T., Caputo D., Carannante F., Cascone C., Esperto F., Farolfi T., Frasca L., Gallo I. F., Gibin G., Giurazza G., Improta L., La Vaccara V., Luffarelli P., Luvero D., Marangi G., Masciana G., Mazzola A., Mazzotta E., Miligi C. I., Montelione N., Nenna A., Orsaria P., Papalia R., Papalia G. F., Parisi F. R., Prata F., Salzillo R., Santini S., Sofo F., Zampoli A., Tanda C., Altieri G., Ardito F., Belia F., Bianchi V., Biondi A., Brisinda G., Chiappetta M., Ciolli G., Ciolli A., Ferracci F., Ferri L., Fico V., Fiorillo C., Fransvea P., Galiandro F., Giovinazzo F., La Greca A., Litta F., Mele C., Pafundi D. P., Panettieri E., Papa V., Patini R., Perrotta G., Puccioni C., Santocchi P., Armatura G., Olmi S., Casoni Pattacini G., Salgarello S., Trompetto M., Bombardini C., La Rocca R., Celentano G., Micalef A., Mazzella A., Settembrini A., Zoia C., Degrate L., Musumeci G., Palopoli C. A. M., Montori G., Bonati E., Dinuzzi V. P., Velluti F., Balla A., Bonasia D. E., Coletta D., Berardi G., Colasanti M., Ferretti S., Gasparoli C., Mariano G., Avenia S., Cianci P., Cestino L., Festa F., Fazio F., Ascari F., Desio M., Arroyo Murillo G. A., Cereda M., Galleano R., David G., Pansini A., Gazia C., Atzori G., Desideri L. F., Famularo S., Galvanin J., Giudici V. M., Mangiameli G., Mei S., Milana F., Pansa A., Sacchi M., Testori A., Di Carlo G., Paratore M., Perrone U., Vagge A., Vigano J., Torre B., Scotti M. A., Carbone G., Cerchione R., De Nardi P., Gozzini L., Ottaviani L., Senni C., Piccin O., Pio L., Colombo F., Avantifiori R., Baldassarri V., Caronna R., Cicerchia P. M., Corallino D., Crocetti D., Gallo G., Giovanardi F., Giovannetti F., Hassan R., Iossa A., Lai Q., Lancellotti F., Lucarini A., Lucchese S., Mazzarella G., Melandro F., Minervini A., Muttillo E. M., Palmieri L., Pasqua R., Rosiello F., Salina G., Sibio S., Sirignano P., Tarallo M., Usai S., Vanni C., Viglietta E., Zambon M., Conversano N. I., Epifani A. G., Milano V., Sacco L., Nava M., Maffioli A., Giuratrabocchetta S., Baracchi F., Zuolo M., Ceresoli M., Verdi D., Belli A., Pata F., Piovano E., Pastore G., Bernabei F., Deiana S., Arceri A., D'Agostino C., Marafante C., Moggia E., Parini S., Moretti M., Uggeri F., Pontarolo N., Fontana T., Palmisano G., Giuffrida M., Guaitoli E., Ferretti C., Iacopino G., Gioco R., Roscitano G., Montanelli P., Chiappetta M. F., Pinotti E., Monati E., Fazio G., Di Pietro F., Damarco F., Barberis A., Razzore A., Pascale A., Loi S., Ferrara F., Rossi M., Lisi G., Viel G., Sasia D., Bono D., Cordaro E. R., Giacomelli E., Giani I., Seriau L., Pellino G., Sparavigna M., Trigiante G., D'Ambrogio R. G., Cardella F., Guzzetti S., Luzzi A. -P., Carganico G., Drago B., Micheletto G., Orlandi R., Cutolo C., Gibello U., Mistrangelo M., Forcignano E., D'Ugo S., Losurdo P., Manitto M., Caroli G., Franco M., Tilocca P. L., Mendogni P., Sena G., Sambucci D., Luciani C., Atelli P., Guida A., Marino F., Morini A., Sibilla M. G., Longo F., Giaccari S., Vigorita V., Balduzzi A., Barra F., Delogu D., Milone E., Bencini L., Aprile V., Papini P., Montemurro N., Cavallo M., Picciariello A., Tomasicchio G., Fittipaldi A., Maruccia M., Gerardi S., Cillara N., Deidda S., Demarinis G., Peiretti E., Tatti F., Iovino C., Isola G., Progno V. C., Migliore M., Badessi G., Barilla C., Calleri G. S., Cianci S., Fama F., Fleres F., Mazzeo C., Visaloco M. G., Marchetto C., Bolognesi F., Benuzzi L., Bracchetti G., Brucchi F., Manzo C. A., Scaravilli L., Ferrari C., Rocca A., Napolitano P., Anoldo P., Caricato C., Manigrasso M., Milone M., Napolitano L., Palomba G., Schiavone V., Vetrella M., Grossi U., Moletta L., Annicchiarico A., Vella I., Talesa G., Boggi U., Aiello F., Anselmo A., Bacchiocchi G., Beati F., Bellato V., Billeci F., Blasi F., Buonomo O. C., Campanelli M., Coco G., Contadini A., Conte L. E., D'Ippolito G., Di Marcantonio A., Spicchiale C. F., Afflitto G. G., Gismondi A., Gorgolini G., Granai A. V., Grande S., Gravina A., Guida A. M., Ingallinella S., Keci L., Latini E., Marino D., Oddi F. M., Orecchia L., Don C. B. P., Pellicciaro M., Petagna L., Pirozzi B. M., Quaranta C., Rho M., Rosina A., Santicchia M. S., Saraceno F., Schiavone A., Sensi B., Spina A., Sullo L., Tacconi F., Taje R., Vanni G., Vinci D., Vita G., Alba G., Badalucco S., Carbone L., Samorani O. C., Chisci G., Cuomo R., Francia A., Fusario D., Gargiulo B., Pasqui E., Pasquetti L., Puoti P., Resca L., Cumbo J., Ganio S., Vizzielli G., Anastasi M., Guerra D., Romanzi A., Vannelli A., Baia M., Siragusa, L, Angelico, R, Angrisani, M, Zampogna, B, Materazzo, M, Sorge, R, Giordano, L, Meniconi, R, Coppola, A, Marino, A, Giraudo, G, Esposito, S, Urbani, A, De Pastena, M, Mastrapasqua, R, Garancini, M, Frontal, A, Pascal, G, Martellucc, J, Falb, F, Boscarelli, A, Bertoglio, P, Trecca, E, Galassi, L, Vento, V, Chiappini, A, Antonelli, A, Bennardo, F, Familiari, F, Giannaccare, G, Zappia, A, Giuliani, G, Falcone, F, Sebastiani, S, Montuori, M, Rossi, S, Sagnotta, A, Giuliani, B, Imbriani, G, Restaino, S, Andreani, L, Di Maria, F, Lagana, A, Vitiello, L, Berton, F, Virgilio, E, Palisi, M, Portigliotti, L, Calussi, M, Conti, L, Mauriello, C, Barone, M, Saladino, E, Giaquinta, A, Zerb, D, Frazzetta, G, Merola, G, Chierici, A, Bini, R, Centonze, L, De Carlis, R, Ferrario, L, Giani, A, Lauterio, A, Tamini, N, Corti, S, Botteri, E, Andreuccetti, J, D'Alessio, R, Cestaro, G, Clarizia, G, Spolini, A, Carboni, A, Benzoni, E, Galiffa, G, Perotti, B, Veroux, M, Randazzo, V, Topa, D, Pranteda, C, Contini, G, Iacusso, C, Voglino, V, Vita, P, Carrano, F, Ambrosio, L, Cammarata, R, Capolupo, G, Caputo, D, Carannante, F, Cascone, C, Esperto, F, Farolfi, T, Frasca, L, Gallo, I, Gibin, G, Giurazza, G, Improta, L, La Vaccara, V, Luffarelli, P, Luvero, D, Marangi, G, Masciana, G, Mazzola, A, Mazzotta, E, Miligi, C, Montelione, N, Nenna, A, Orsaria, P, Papalia, R, Papalia, G, Parisi, F, Prata, F, Salzillo, R, Santini, S, Sofo, F, Zampoli, A, Tanda, C, Altieri, G, Ardito, F, Belia, F, Bianchi, V, Biondi, A, Brisinda, G, Chiappetta, M, Ciolli, G, Ciolli, A, Ferracci, F, Ferri, L, Fico, V, Fiorillo, C, Fransvea, P, Galiandro, F, Giovinazzo, F, La Greca, A, Litta, F, Mele, C, Pafundi, D, Panettieri, E, Papa, V, Patini, R, Perrotta, G, Puccioni, C, Santocchi, P, Armatura, G, Olmi, S, Casoni Pattacini, G, Salgarello, S, Trompetto, M, Bombardini, C, La Rocca, R, Celentano, G, Micalef, A, Mazzella, A, Settembrini, A, Zoia, C, Degrate, L, Musumeci, G, Palopoli, C, Montori, G, Bonati, E, Dinuzzi, V, Velluti, F, Balla, A, Bonasia, D, Coletta, D, Berardi, G, Colasanti, M, Ferretti, S, Gasparoli, C, Mariano, G, Avenia, S, Cianci, P, Cestino, L, Festa, F, Fazio, F, Ascari, F, Desio, M, Arroyo Murillo, G, Cereda, M, Galleano, R, David, G, Pansini, A, Gazia, C, Atzori, G, Desideri, L, Famularo, S, Galvanin, J, Giudici, V, Mangiameli, G, Mei, S, Milana, F, Pansa, A, Sacchi, M, Testori, A, Di Carlo, G, Paratore, M, Perrone, U, Vagge, A, Vigano, J, Torre, B, Scotti, M, Carbone, G, Cerchione, R, De Nardi, P, Gozzini, L, Ottaviani, L, Senni, C, Piccin, O, Pio, L, Colombo, F, Avantifiori, R, Baldassarri, V, Caronna, R, Cicerchia, P, Corallino, D, Crocetti, D, Gallo, G, Giovanardi, F, Giovannetti, F, Hassan, R, Iossa, A, Lai, Q, Lancellotti, F, Lucarini, A, Lucchese, S, Mazzarella, G, Melandro, F, Minervini, A, Muttillo, E, Palmieri, L, Pasqua, R, Rosiello, F, Salina, G, Sibio, S, Sirignano, P, Tarallo, M, Usai, S, Vanni, C, Viglietta, E, Zambon, M, Conversano, N, Epifani, A, Milano, V, Sacco, L, Nava, M, Maffioli, A, Giuratrabocchetta, S, Baracchi, F, Zuolo, M, Ceresoli, M, Verdi, D, Belli, A, Pata, F, Piovano, E, Pastore, G, Bernabei, F, Deiana, S, Arceri, A, D'Agostino, C, Marafante, C, Moggia, E, Parini, S, Moretti, M, Uggeri, F, Pontarolo, N, Fontana, T, Palmisano, G, Giuffrida, M, Guaitoli, E, Ferretti, C, Iacopino, G, Gioco, R, Roscitano, G, Montanelli, P, Pinotti, E, Monati, E, Fazio, G, Di Pietro, F, Damarco, F, Barberis, A, Razzore, A, Pascale, A, Loi, S, Ferrara, F, Rossi, M, Lisi, G, Viel, G, Sasia, D, Bono, D, Cordaro, E, Giacomelli, E, Giani, I, Seriau, L, Pellino, G, Sparavigna, M, Trigiante, G, D'Ambrogio, R, Cardella, F, Guzzetti, S, Luzzi, A, Carganico, G, Drago, B, Micheletto, G, Orlandi, R, Cutolo, C, Gibello, U, Mistrangelo, M, Forcignano, E, D'Ugo, S, Losurdo, P, Manitto, M, Caroli, G, Franco, M, Tilocca, P, Mendogni, P, Sena, G, Sambucci, D, Luciani, C, Atelli, P, Guida, A, Marino, F, Morini, A, Sibilla, M, Longo, F, Giaccari, S, Vigorita, V, Balduzzi, A, Barra, F, Delogu, D, Milone, E, Bencini, L, Aprile, V, Papini, P, Montemurro, N, Cavallo, M, Picciariello, A, Tomasicchio, G, Fittipaldi, A, Maruccia, M, Gerardi, S, Cillara, N, Deidda, S, Demarinis, G, Peiretti, E, Tatti, F, Iovino, C, Isola, G, Progno, V, Migliore, M, Badessi, G, Barilla, C, Calleri, G, Cianci, S, Fama, F, Fleres, F, Mazzeo, C, Visaloco, M, Marchetto, C, Bolognesi, F, Benuzzi, L, Bracchetti, G, Brucchi, F, Manzo, C, Scaravilli, L, Ferrari, C, Rocca, A, Napolitano, P, Anoldo, P, Caricato, C, Manigrasso, M, Milone, M, Napolitano, L, Palomba, G, Schiavone, V, Vetrella, M, Grossi, U, Moletta, L, Annicchiarico, A, Vella, I, Talesa, G, Boggi, U, Aiello, F, Anselmo, A, Bacchiocchi, G, Beati, F, Bellato, V, Billeci, F, Blasi, F, Buonomo, O, Campanelli, M, 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A., Antonelli A., Bennardo F., Familiari F., Giannaccare G., Zappia A. S., Giuliani G., Falcone F., Sebastiani S., Montuori M., Rossi S., Sagnotta A., Giuliani B., Imbriani G. C., Restaino S., Andreani L., Di Maria F., Lagana A. S., Vitiello L., Berton F., Virgilio E., Palisi M., Portigliotti L., Calussi M., Conti L., Mauriello C., Barone M., Saladino E., Giaquinta A., Zerb D., Frazzetta G., Merola G., Chierici A., Bini R., Centonze L., De Carlis R., Ferrario L., Giani A., Lauterio A., Tamini N., Corti S., Botteri E., Andreuccetti J., D'Alessio R., Cestaro G., Clarizia G., Spolini A., Carboni A. S., Benzoni E., Galiffa G., Perotti B., Veroux M., Randazzo V., Topa D., Pranteda C., Contini G., Iacusso C., Voglino V., Vita P., Carrano F. M., Ambrosio L., Cammarata R., Capolupo G. T., Caputo D., Carannante F., Cascone C., Esperto F., Farolfi T., Frasca L., Gallo I. F., Gibin G., Giurazza G., Improta L., La Vaccara V., Luffarelli P., Luvero D., Marangi G., Masciana G., Mazzola A., Mazzotta E., Miligi C. I., Montelione N., Nenna A., Orsaria P., Papalia R., Papalia G. F., Parisi F. R., Prata F., Salzillo R., Santini S., Sofo F., Zampoli A., Tanda C., Altieri G., Ardito F., Belia F., Bianchi V., Biondi A., Brisinda G., Chiappetta M., Ciolli G., Ciolli A., Ferracci F., Ferri L., Fico V., Fiorillo C., Fransvea P., Galiandro F., Giovinazzo F., La Greca A., Litta F., Mele C., Pafundi D. P., Panettieri E., Papa V., Patini R., Perrotta G., Puccioni C., Santocchi P., Armatura G., Olmi S., Casoni Pattacini G., Salgarello S., Trompetto M., Bombardini C., La Rocca R., Celentano G., Micalef A., Mazzella A., Settembrini A., Zoia C., Degrate L., Musumeci G., Palopoli C. A. M., Montori G., Bonati E., Dinuzzi V. P., Velluti F., Balla A., Bonasia D. E., Coletta D., Berardi G., Colasanti M., Ferretti S., Gasparoli C., Mariano G., Avenia S., Cianci P., Cestino L., Festa F., Fazio F., Ascari F., Desio M., Arroyo Murillo G. A., Cereda M., Galleano R., David G., Pansini A., Gazia C., Atzori G., Desideri L. 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Abstract

COVID-19 negatively affected surgical activity, but the potential benefits resulting from adopted measures remain unclear. The aim of this study was to evaluate the change in surgical activity and potential benefit from COVID-19 measures in perspective of Italian surgeons on behalf of SPIGC. A nationwide online survey on surgical practice before, during, and after COVID-19 pandemic was conducted in March–April 2022 (NCT:05323851). Effects of COVID-19 hospital-related measures on surgical patients’ management and personal professional development across surgical specialties were explored. Data on demographics, pre-operative/peri-operative/post-operative management, and professional development were collected. Outcomes were matched with the corresponding volume. Four hundred and seventy-three respondents were included in final analysis across 14 surgical specialties. Since SARS-CoV-2 pandemic, application of telematic consultations (4.1% vs. 21.6%; p < 0.0001) and diagnostic evaluations (16.4% vs. 42.2%; p < 0.0001) increased. Elective surgical activities significantly reduced and surgeons opted more frequently for conservative management with a possible indication for elective (26.3% vs. 35.7%; p < 0.0001) or urgent (20.4% vs. 38.5%; p < 0.0001) surgery. All new COVID-related measures are perceived to be maintained in the future. Surgeons’ personal education online increased from 12.6% (pre-COVID) to 86.6% (post-COVID; p < 0.0001). Online educational activities are considered a beneficial effect from COVID pandemic (56.4%). COVID-19 had a great impact on surgical specialties, with significant reduction of operation volume. However, some forced changes turned out to be benefits. Isolation measures pushed the use of telemedicine and telemetric devices for outpatient practice and favored communication for educational purposes and surgeon–patient/family communication. From the Italian surgeons’ perspective, COVID-related measures will continue to influence

Published
2023

4. How future surgery will benefit from SARS-COV-2-related measures: a SPIGC survey conveying the perspective of Italian surgeons

Author

Siragusa, L., Angelico, R., Angrisani, M., Zampogna, B., Materazzo, M., Sorge, R., Giordano, Lucia, Meniconi, R., Coppola, A., Marino, A., Giraudo, G., Esposito, S., Urbani, A., De Pastena, M., Mastrapasqua, R., Garancini, M., Frontal, A., Pascal, G., Martellucc, J., Falb, F., Boscarelli, A., Bertoglio, P., Trecca, E., Galassi, L., Vento, V., Chiappini, A., Antonelli, A., Bennardo, F., Familiari, F., Giannaccare, G., Zappia, A. S., Giuliani, G., Falcone, F., Sebastiani, S., Montuori, M., Rossi, S., Sagnotta, A., Giuliani, B., Imbriani, G. C., Restaino, S., Andreani, L., Di Maria, F., Lagana, A. S., Vitiello, L., Berton, F., Virgilio, E., Palisi, M., Portigliotti, L., Calussi, M., Conti, L., Mauriello, C., Barone, Alessia Maria Addolorata, Saladino, E., Giaquinta, A., Zerb, D., Frazzetta, G., Merola, G., Chierici, A., Bini, R., Centonze, L., De Carlis, R., Ferrario, L., Giani, A., Lauterio, A., Tamini, N., Corti, Serafino, Botteri, E., Andreuccetti, J., D'Alessio, R., Cestaro, G., Clarizia, G., Spolini, A., Carboni, A. S., Benzoni, E., Galiffa, G., Perotti, B., Veroux, M., Randazzo, V., Topa, D., Pranteda, C., Contini, G., Iacusso, C., Voglino, V., Vita, P., Carrano, F. M., Ambrosio, L., Cammarata, R., Capolupo, G. T., Caputo, D., Carannante, F., Cascone, C., Esperto, F., Farolfi, T., Frasca, L., Gallo, I. F., Gibin, G., Giurazza, G., Improta, L., La Vaccara, V., Luffarelli, P., Luvero, D., Marangi, Giuseppe, Masciana, G., Mazzola, A., Mazzotta, E., Miligi, C. I., Montelione, N., Nenna, A., Orsaria, P., Papalia, R., Papalia, G. F., Parisi, F. R., Prata, F., Salzillo, R., Santini, Stefano Angelo, Sofo, F., Zampoli, A., Tanda, C., Altieri, G., Ardito, Francesco, Belia, Francesco, Bianchi, V., Biondi, Alberto, Brisinda, Giuseppe, Chiappetta, M., Ciolli, G., Ciolli, Alessandro, Ferracci, Federica, Ferri, L., Fico, V., Fiorillo, Claudio, Fransvea, Pietro, Galiandro, F., Giovinazzo, F., La Greca, Antonio, Litta, Francesco, Mele, C., Pafundi, D. P., Panettieri, Elena, Papa, Valerio, Patini, Romeo, Perrotta, Generoso, Puccioni, Caterina, Santocchi, P., Armatura, G., Olmi, S., Casoni Pattacini, G., Salgarello, S., Trompetto, M., Bombardini, C., La Rocca, R., Celentano, G., Micalef, A., Mazzella, A., Settembrini, A., Zoia, C., Degrate, L., Musumeci, Giampaolo, Palopoli, C. A. M., Montori, G., Bonati, E., Dinuzzi, V. P., Velluti, F., Balla, A., Bonasia, D. E., Coletta, D., Berardi, Giulia, Colasanti, M., Ferretti, Serena, Gasparoli, C., Mariano, Giuseppantonio, Avenia, S., Cianci, P., Cestino, L., Festa, F., Fazio, F., Ascari, F., Desio, M., Arroyo Murillo, G. A., Cereda, M., Galleano, R., David, G., Pansini, A., Gazia, C., Atzori, G., Desideri, L. F., Famularo, S., Galvanin, J., Giudici, V. M., Mangiameli, Gaetano, Mei, S., Milana, F., Pansa, A., Sacchi, Dario Marco, Testori, A., Di Carlo, Giampiero, Paratore, Mattia, Perrone, U., Vagge, A., Vigano, J., Torre, B., Scotti, M. A., Carbone, G., Cerchione, R., De Nardi, P., Gozzini, L., Ottaviani, Letizia, Senni, C., Piccin, O., Pio, L., Colombo, F., Avantifiori, R., Baldassarri, V., Caronna, R., Cicerchia, P. M., Corallino, D., Crocetti, D., Gallo, Giuseppe, Giovanardi, F., Giovannetti, F., Hassan, R., Iossa, A., Lai, Q., Lancellotti, F., Lucarini, A., Lucchese, S., Mazzarella, Giulio, Melandro, F., Minervini, A., Muttillo, E. M., Palmieri, L., Pasqua, R., Rosiello, F., Salina, Giulia, Sibio, S., Sirignano, P., Tarallo, M., Usai, S., Vanni, C., Viglietta, E., Zambon, M., Conversano, N. I., Epifani, A. G., Milano, Valentina, Sacco, L., Nava, Bruna Maria, Maffioli, A., Giuratrabocchetta, S., Baracchi, F., Zuolo, M., Ceresoli, M., Verdi, D., Belli, Andrea, Pata, F., Piovano, E., Pastore, G., Bernabei, F., Deiana, S., Arceri, A., D'Agostino, Cinzia, Marafante, C., Moggia, E., Parini, S., Moretti, M., Uggeri, F., Pontarolo, N., Fontana, T., Palmisano, Gerardo, Giuffrida, M., Guaitoli, E., Ferretti, C., Iacopino, G., Gioco, R., Roscitano, G., Montanelli, P., Chiappetta, M. F., Pinotti, E., Monati, E., Fazio, G., Di Pietro, F., Damarco, F., Barberis, A., Razzore, A., Pascale, A., Loi, S., Ferrara, F., Rossi, Marco, Lisi, G., Viel, G., Sasia, D., Bono, D., Cordaro, E. R., Giacomelli, E., Giani, I., Seriau, L., Pellino, Giuseppe, Sparavigna, M., Trigiante, G., D'Ambrogio, R. G., Cardella, F., Guzzetti, S., Luzzi, A. -P., Carganico, G., Drago, B., Micheletto, G., Orlandi, R., Cutolo, C., Gibello, U., Mistrangelo, M., Forcignano, E., D'Ugo, S., Losurdo, P., Manitto, M., Caroli, G., Franco, Manuela, Tilocca, P. L., Mendogni, P., Sena, G., Sambucci, D., Luciani, C., Atelli, P., Guida, Maria Antonietta, Marino, Filippo, Morini, A., Sibilla, M. G., Longo, Fabio, Giaccari, S., Vigorita, V., Balduzzi, A., Barra, F., Delogu, D., Milone, E., Bencini, L., Aprile, V., Papini, P., Montemurro, N., Cavallo, Michele, Picciariello, A., Tomasicchio, G., Fittipaldi, A., Maruccia, M., Gerardi, S., Cillara, N., Deidda, Silvia, Demarinis, G., Peiretti, E., Tatti, F., Iovino, C., Isola, G., Progno, V. C., Migliore, M., Badessi, G., Barilla, C., Calleri, G. S., Cianci, Stefano, Fama, F., Fleres, F., Mazzeo, C., Visaloco, M. G., Marchetto, C., Bolognesi, F., Benuzzi, L., Bracchetti, G., Brucchi, F., Manzo, C. A., Scaravilli, L., Ferrari, C., Rocca, A., Napolitano, Paola, Anoldo, P., Caricato, Chiara, Manigrasso, M., Milone, Maria, Napolitano, L., Palomba, G., Schiavone, V., Vetrella, M., Grossi, U., Moletta, L., Annicchiarico, A., Vella, I., Talesa, G., Boggi, U., Aiello, F., Anselmo, Anna, Bacchiocchi, G., Beati, F., Bellato, V., Billeci, F., Blasi, F., Buonomo, O. C., Campanelli, M., Coco, G., Contadini, A., Conte, L. E., D'Ippolito, G., Di Marcantonio, A., Spicchiale, C. F., Afflitto, G. G., Gismondi, A., Gorgolini, G., Granai, A. V., Grande, S., Gravina, A., Guida, A. M., Ingallinella, S., Keci, L., Latini, E., Marino, D., Oddi, F. M., Orecchia, L., Don, C. B. P., Pellicciaro, M., Petagna, L., Pirozzi, B. M., Quaranta, Caterina, Rho, M., Rosina, Alessandro, Santicchia, M. S., Saraceno, F., Schiavone, A., Sensi, B., Spina, A., Sullo, L., Tacconi, F., Taje, R., Vanni, G., Vinci, D., Vita, G., Alba, G., Badalucco, S., Carbone, Luigi, Samorani, O. C., Chisci, G., Cuomo, Rosa, Francia, A., Fusario, D., Gargiulo, B., Pasqui, E., Pasquetti, L., Puoti, P., Resca, L., Cumbo, J., Ganio, S., Vizzielli, Giuseppe, Anastasi, M., Guerra, D., Romanzi, A., Vannelli, A., Baia, M., Giordano L., Barone M., Corti S., Marangi G. (ORCID:0000-0002-6898-8882), Santini S. (ORCID:0000-0003-1956-5899), Ardito F. (ORCID:0000-0003-1596-2862), Belia F., Biondi A. (ORCID:0000-0002-2470-7858), Brisinda G. (ORCID:0000-0001-8820-9471), Ciolli A., Ferracci F., Fiorillo C. (ORCID:0000-0001-7681-3567), Fransvea P. (ORCID:0000-0003-4969-3373), La Greca A. (ORCID:0000-0002-7587-7427), Litta F., Panettieri E., Papa V. (ORCID:0000-0002-3709-8924), Patini R. (ORCID:0000-0001-7358-8763), Perrotta G., Puccioni C., Musumeci G., Berardi G., Ferretti S., Mariano G., Mangiameli G., Sacchi M. (ORCID:0000-0003-2826-8431), Di Carlo G., Paratore M., Ottaviani L. (ORCID:0009-0001-0967-8809), Gallo G., Mazzarella G., Salina G., Milano V., Nava M., Belli A., D'Agostino C., Palmisano G., Rossi M. (ORCID:0000-0002-4539-5670), Pellino G., Franco M., Guida A., Marino F., Longo F., Cavallo M., Deidda S., Cianci S., Napolitano P., Caricato C., Milone M., Anselmo A., Quaranta C., Rosina A. (ORCID:0000-0002-0158-0583), Carbone L., Cuomo R., Vizzielli G., Siragusa, L., Angelico, R., Angrisani, M., Zampogna, B., Materazzo, M., Sorge, R., Giordano, Lucia, Meniconi, R., Coppola, A., Marino, A., Giraudo, G., Esposito, S., Urbani, A., De Pastena, M., Mastrapasqua, R., Garancini, M., Frontal, A., Pascal, G., Martellucc, J., Falb, F., Boscarelli, A., Bertoglio, P., Trecca, E., Galassi, L., Vento, V., Chiappini, A., Antonelli, A., Bennardo, F., Familiari, F., Giannaccare, G., Zappia, A. S., Giuliani, G., Falcone, F., Sebastiani, S., Montuori, M., Rossi, S., Sagnotta, A., Giuliani, B., Imbriani, G. C., Restaino, S., Andreani, L., Di Maria, F., Lagana, A. S., Vitiello, L., Berton, F., Virgilio, E., Palisi, M., Portigliotti, L., Calussi, M., Conti, L., Mauriello, C., Barone, Alessia Maria Addolorata, Saladino, E., Giaquinta, A., Zerb, D., Frazzetta, G., Merola, G., Chierici, A., Bini, R., Centonze, L., De Carlis, R., Ferrario, L., Giani, A., Lauterio, A., Tamini, N., Corti, Serafino, Botteri, E., Andreuccetti, J., D'Alessio, R., Cestaro, G., Clarizia, G., Spolini, A., Carboni, A. S., Benzoni, E., Galiffa, G., Perotti, B., Veroux, M., Randazzo, V., Topa, D., Pranteda, C., Contini, G., Iacusso, C., Voglino, V., Vita, P., Carrano, F. M., Ambrosio, L., Cammarata, R., Capolupo, G. T., Caputo, D., Carannante, F., Cascone, C., Esperto, F., Farolfi, T., Frasca, L., Gallo, I. F., Gibin, G., Giurazza, G., Improta, L., La Vaccara, V., Luffarelli, P., Luvero, D., Marangi, Giuseppe, Masciana, G., Mazzola, A., Mazzotta, E., Miligi, C. I., Montelione, N., Nenna, A., Orsaria, P., Papalia, R., Papalia, G. F., Parisi, F. R., Prata, F., Salzillo, R., Santini, Stefano Angelo, Sofo, F., Zampoli, A., Tanda, C., Altieri, G., Ardito, Francesco, Belia, Francesco, Bianchi, V., Biondi, Alberto, Brisinda, Giuseppe, Chiappetta, M., Ciolli, G., Ciolli, Alessandro, Ferracci, Federica, Ferri, L., Fico, V., Fiorillo, Claudio, Fransvea, Pietro, Galiandro, F., Giovinazzo, F., La Greca, Antonio, Litta, Francesco, Mele, C., Pafundi, D. P., Panettieri, Elena, Papa, Valerio, Patini, Romeo, Perrotta, Generoso, Puccioni, Caterina, Santocchi, P., Armatura, G., Olmi, S., Casoni Pattacini, G., Salgarello, S., Trompetto, M., Bombardini, C., La Rocca, R., Celentano, G., Micalef, A., Mazzella, A., Settembrini, A., Zoia, C., Degrate, L., Musumeci, Giampaolo, Palopoli, C. A. M., Montori, G., Bonati, E., Dinuzzi, V. P., Velluti, F., Balla, A., Bonasia, D. E., Coletta, D., Berardi, Giulia, Colasanti, M., Ferretti, Serena, Gasparoli, C., Mariano, Giuseppantonio, Avenia, S., Cianci, P., Cestino, L., Festa, F., Fazio, F., Ascari, F., Desio, M., Arroyo Murillo, G. A., Cereda, M., Galleano, R., David, G., Pansini, A., Gazia, C., Atzori, G., Desideri, L. F., Famularo, S., Galvanin, J., Giudici, V. M., Mangiameli, Gaetano, Mei, S., Milana, F., Pansa, A., Sacchi, Dario Marco, Testori, A., Di Carlo, Giampiero, Paratore, Mattia, Perrone, U., Vagge, A., Vigano, J., Torre, B., Scotti, M. A., Carbone, G., Cerchione, R., De Nardi, P., Gozzini, L., Ottaviani, Letizia, Senni, C., Piccin, O., Pio, L., Colombo, F., Avantifiori, R., Baldassarri, V., Caronna, R., Cicerchia, P. M., Corallino, D., Crocetti, D., Gallo, Giuseppe, Giovanardi, F., Giovannetti, F., Hassan, R., Iossa, A., Lai, Q., Lancellotti, F., Lucarini, A., Lucchese, S., Mazzarella, Giulio, Melandro, F., Minervini, A., Muttillo, E. M., Palmieri, L., Pasqua, R., Rosiello, F., Salina, Giulia, Sibio, S., Sirignano, P., Tarallo, M., Usai, S., Vanni, C., Viglietta, E., Zambon, M., Conversano, N. I., Epifani, A. G., Milano, Valentina, Sacco, L., Nava, Bruna Maria, Maffioli, A., Giuratrabocchetta, S., Baracchi, F., Zuolo, M., Ceresoli, M., Verdi, D., Belli, Andrea, Pata, F., Piovano, E., Pastore, G., Bernabei, F., Deiana, S., Arceri, A., D'Agostino, Cinzia, Marafante, C., Moggia, E., Parini, S., Moretti, M., Uggeri, F., Pontarolo, N., Fontana, T., Palmisano, Gerardo, Giuffrida, M., Guaitoli, E., Ferretti, C., Iacopino, G., Gioco, R., Roscitano, G., Montanelli, P., Chiappetta, M. F., Pinotti, E., Monati, E., Fazio, G., Di Pietro, F., Damarco, F., Barberis, A., Razzore, A., Pascale, A., Loi, S., Ferrara, F., Rossi, Marco, Lisi, G., Viel, G., Sasia, D., Bono, D., Cordaro, E. R., Giacomelli, E., Giani, I., Seriau, L., Pellino, Giuseppe, Sparavigna, M., Trigiante, G., D'Ambrogio, R. G., Cardella, F., Guzzetti, S., Luzzi, A. -P., Carganico, G., Drago, B., Micheletto, G., Orlandi, R., Cutolo, C., Gibello, U., Mistrangelo, M., Forcignano, E., D'Ugo, S., Losurdo, P., Manitto, M., Caroli, G., Franco, Manuela, Tilocca, P. L., Mendogni, P., Sena, G., Sambucci, D., Luciani, C., Atelli, P., Guida, Maria Antonietta, Marino, Filippo, Morini, A., Sibilla, M. G., Longo, Fabio, Giaccari, S., Vigorita, V., Balduzzi, A., Barra, F., Delogu, D., Milone, E., Bencini, L., Aprile, V., Papini, P., Montemurro, N., Cavallo, Michele, Picciariello, A., Tomasicchio, G., Fittipaldi, A., Maruccia, M., Gerardi, S., Cillara, N., Deidda, Silvia, Demarinis, G., Peiretti, E., Tatti, F., Iovino, C., Isola, G., Progno, V. C., Migliore, M., Badessi, G., Barilla, C., Calleri, G. S., Cianci, Stefano, Fama, F., Fleres, F., Mazzeo, C., Visaloco, M. G., Marchetto, C., Bolognesi, F., Benuzzi, L., Bracchetti, G., Brucchi, F., Manzo, C. A., Scaravilli, L., Ferrari, C., Rocca, A., Napolitano, Paola, Anoldo, P., Caricato, Chiara, Manigrasso, M., Milone, Maria, Napolitano, L., Palomba, G., Schiavone, V., Vetrella, M., Grossi, U., Moletta, L., Annicchiarico, A., Vella, I., Talesa, G., Boggi, U., Aiello, F., Anselmo, Anna, Bacchiocchi, G., Beati, F., Bellato, V., Billeci, F., Blasi, F., Buonomo, O. C., Campanelli, M., Coco, G., Contadini, A., Conte, L. E., D'Ippolito, G., Di Marcantonio, A., Spicchiale, C. F., Afflitto, G. G., Gismondi, A., Gorgolini, G., Granai, A. V., Grande, S., Gravina, A., Guida, A. M., Ingallinella, S., Keci, L., Latini, E., Marino, D., Oddi, F. M., Orecchia, L., Don, C. B. P., Pellicciaro, M., Petagna, L., Pirozzi, B. M., Quaranta, Caterina, Rho, M., Rosina, Alessandro, Santicchia, M. S., Saraceno, F., Schiavone, A., Sensi, B., Spina, A., Sullo, L., Tacconi, F., Taje, R., Vanni, G., Vinci, D., Vita, G., Alba, G., Badalucco, S., Carbone, Luigi, Samorani, O. C., Chisci, G., Cuomo, Rosa, Francia, A., Fusario, D., Gargiulo, B., Pasqui, E., Pasquetti, L., Puoti, P., Resca, L., Cumbo, J., Ganio, S., Vizzielli, Giuseppe, Anastasi, M., Guerra, D., Romanzi, A., Vannelli, A., Baia, M., Giordano L., Barone M., Corti S., Marangi G. (ORCID:0000-0002-6898-8882), Santini S. (ORCID:0000-0003-1956-5899), Ardito F. (ORCID:0000-0003-1596-2862), Belia F., Biondi A. (ORCID:0000-0002-2470-7858), Brisinda G. (ORCID:0000-0001-8820-9471), Ciolli A., Ferracci F., Fiorillo C. (ORCID:0000-0001-7681-3567), Fransvea P. (ORCID:0000-0003-4969-3373), La Greca A. (ORCID:0000-0002-7587-7427), Litta F., Panettieri E., Papa V. (ORCID:0000-0002-3709-8924), Patini R. (ORCID:0000-0001-7358-8763), Perrotta G., Puccioni C., Musumeci G., Berardi G., Ferretti S., Mariano G., Mangiameli G., Sacchi M. (ORCID:0000-0003-2826-8431), Di Carlo G., Paratore M., Ottaviani L. (ORCID:0009-0001-0967-8809), Gallo G., Mazzarella G., Salina G., Milano V., Nava M., Belli A., D'Agostino C., Palmisano G., Rossi M. (ORCID:0000-0002-4539-5670), Pellino G., Franco M., Guida A., Marino F., Longo F., Cavallo M., Deidda S., Cianci S., Napolitano P., Caricato C., Milone M., Anselmo A., Quaranta C., Rosina A. (ORCID:0000-0002-0158-0583), Carbone L., Cuomo R., and Vizzielli G.

Abstract

COVID-19 negatively affected surgical activity, but the potential benefits resulting from adopted measures remain unclear. The aim of this study was to evaluate the change in surgical activity and potential benefit from COVID-19 measures in perspective of Italian surgeons on behalf of SPIGC. A nationwide online survey on surgical practice before, during, and after COVID-19 pandemic was conducted in March–April 2022 (NCT:05323851). Effects of COVID-19 hospital-related measures on surgical patients’ management and personal professional development across surgical specialties were explored. Data on demographics, pre-operative/peri-operative/post-operative management, and professional development were collected. Outcomes were matched with the corresponding volume. Four hundred and seventy-three respondents were included in final analysis across 14 surgical specialties. Since SARS-CoV-2 pandemic, application of telematic consultations (4.1% vs. 21.6%; p < 0.0001) and diagnostic evaluations (16.4% vs. 42.2%; p < 0.0001) increased. Elective surgical activities significantly reduced and surgeons opted more frequently for conservative management with a possible indication for elective (26.3% vs. 35.7%; p < 0.0001) or urgent (20.4% vs. 38.5%; p < 0.0001) surgery. All new COVID-related measures are perceived to be maintained in the future. Surgeons’ personal education online increased from 12.6% (pre-COVID) to 86.6% (post-COVID; p < 0.0001). Online educational activities are considered a beneficial effect from COVID pandemic (56.4%). COVID-19 had a great impact on surgical specialties, with significant reduction of operation volume. However, some forced changes turned out to be benefits. Isolation measures pushed the use of telemedicine and telemetric devices for outpatient practice and favored communication for educational purposes and surgeon–patient/family communication. From the Italian surgeons’ perspective, COVID-related measures will continue to influence

Published
2023

9. Transanal endoscopic microsurgery after neoadjuvant radiochemotherapy for locally advanced extraperitoneal rectal cancer

Author

Rizzo, Gianluca, Zaccone, G., Magnocavallo, M., Mattana, Claudio, Pafundi, D. P., Gambacorta, Maria Antonietta, Valentini, Vincenzo, Coco, Claudio, Rizzo, G., Mattana, C. (ORCID:0000-0002-8605-4952), Gambacorta, M. A. (ORCID:0000-0001-5455-8737), Valentini, V. (ORCID:0000-0003-4637-6487), Coco, C. (ORCID:0000-0002-4713-7093), Rizzo, Gianluca, Zaccone, G., Magnocavallo, M., Mattana, Claudio, Pafundi, D. P., Gambacorta, Maria Antonietta, Valentini, Vincenzo, Coco, Claudio, Rizzo, G., Mattana, C. (ORCID:0000-0002-8605-4952), Gambacorta, M. A. (ORCID:0000-0001-5455-8737), Valentini, V. (ORCID:0000-0003-4637-6487), and Coco, C. (ORCID:0000-0002-4713-7093)

Abstract

Purpose The aim of this study is to provide a prospective analysis of post-operative and oncological outcomes in patients affected by locally advanced rectal cancer (LARC), who obtained a major/complete clinical response after pre-operative radio-chemotherapy (RCT) and were treated with local excision (LE) by trans-anal endoscopic microsurgery (TEM) to confirm a pathological complete response (pCR) after to neo-adjuvant RCT. Methods All patients with LARC treated by pre-operative RCT and full-thickness LE by TEM (2000–2014) were included in the study. If the pathological analysis confirmed near complete or pCR, intensive follow up was proposed. If the pathological response was incomplete, a radical resection with TME was proposed. Post-operative (according to Clavien's classification), functional and long-term oncological outcome were analyzed. Results 36 patients were treated by TEM. The median post-operative hospital stay was 5 days. The post-operative morbidity was 41.6% (no grade ≥3). At pathological analysis, 23 specimens were ypT0 TRG1, and 4 were ypT1 TRG2. In 9 cases (ypT>1 and/or TRG>2), radical surgery with TME was proposed but 3 refused it. Median follow-up was 68 months. One local recurrence and 4 distant metastases occurred. The 5-yr actuarial local control, overall survival and disease-free survival were 96.0%, 92.0% and 82.8%. Conclusions In case of major or complete clinical response of LARC after pre-operative RCT, LE by TEM can be used to confirm the pathological response. This avoids the necessity of radical surgery and, in our experience, this approach seems to guarantee oncological safety with the functional advantages of an organ-sparing procedure.

Published
2017

12. Decreased affinity for efflux transporters increases brain penetrance and molecular targeting of a PI3K/mTOR inhibitor in a mouse model of glioblastoma

Author

Becker, C. M., primary, Oberoi, R. K., additional, McFarren, S. J., additional, Muldoon, D. M., additional, Pafundi, D. H., additional, Pokorny, J. L., additional, Brinkmann, D. H., additional, Ohlfest, J. R., additional, Sarkaria, J. N., additional, Largaespada, D. A., additional, and Elmquist, W. F., additional

Published
2015
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19. Biopsy validation of 18F-DOPA PET and biodistribution in gliomas for neurosurgical planning and radiotherapy target delineation: results of a prospective pilot study

Author

Pafundi, D. H., primary, Laack, N. N., additional, Youland, R. S., additional, Parney, I. F., additional, Lowe, V. J., additional, Giannini, C., additional, Kemp, B. J., additional, Grams, M. P., additional, Morris, J. M., additional, Hoover, J. M., additional, Hu, L. S., additional, Sarkaria, J. N., additional, and Brinkmann, D. H., additional

Published
2013
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29. Systematic review for deep inspiration breath hold in proton therapy for mediastinal lymphoma: A PTCOG Lymphoma Subcommittee report and recommendations.

Author

Patel CG, Peterson J, Aznar M, Tseng YD, Lester S, Pafundi D, Flampouri S, Mohindra P, Parikh RR, Mailhot Vega R, Konig L, Plastaras JP, Bates JE, Loap P, Kirova YM, Orlandi E, Lütgendorf-Caucig C, Ntentas G, and Hoppe B

Subjects
Humans, Breath Holding, Organs at Risk, Radiotherapy Planning, Computer-Assisted, Protons, Heart, Radiotherapy Dosage, Proton Therapy, Mediastinal Neoplasms radiotherapy, Lymphoma, Unilateral Breast Neoplasms radiotherapy
Abstract

Purpose: To systematically review all dosimetric studies investigating the impact of deep inspiration breath hold (DIBH) compared with free breathing (FB) in mediastinal lymphoma patients treated with proton therapy as compared to IMRT (intensity-modulated radiation therapy)-DIBH., Materials and Methods: We conducted a systematic review in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline using the PubMed database to identify studies of mediastinal lymphoma patients with dosimetric comparisons of proton-FB and/or proton-DIBH with IMRT-DIBH. Parameters included mean heart (MHD), lung (MLD), and breast (MBD) doses, among other parameters. Case reports were excluded. Absolute differences in mean doses > 1 Gy between comparators were considered to be clinically meaningful., Results: As of April 2021, eight studies fit these criteria (n = 8), with the following comparisons: proton-FB vs IMRT-DIBH (n = 5), proton-DIBH vs proton-FB (n = 5), and proton-DIBH vs IMRT-DIBH (n = 8). When comparing proton-FB with IMRT-DIBH in 5 studies, MHD was reduced with proton-FB in 2 studies, was similar (<1 Gy difference) in 2 studies, and increased in 1 study. On the other hand, MLD and MBD were reduced with proton-FB in 3 and 4 studies, respectively. When comparing proton-DIBH with proton-FB, MHD and MLD were reduced with proton DIBH in 4 and 3 studies, respectively, while MBD remained similar. Compared with IMRT-DIBH in 8 studies, proton-DIBH reduced the MHD in 7 studies and was similar in 1 study. Furthermore, MLD and MBD were reduced with proton-DIBH in 8 and 6 studies respectively. Integral dose was similar between proton-FB and proton-DIBH, and both were substantially lower than IMRT-DIBH., Conclusion: Accounting for heart, lung, breast, and integral dose, proton therapy (FB or DIBH) was superior to IMRT-DIBH. Proton-DIBH can lower dose to the lungs and heart even further compared with proton-FB, depending on disease location in the mediastinum, and organ-sparing and target coverage priorities., Competing Interests: Declaration of Competing Interest The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Laila Konig reports personal fees from Accuray Inc. and Novocure GmbH outside the submitted work., (Copyright © 2022 Elsevier B.V. All rights reserved.)

Published
2022
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30. Bats mimic hymenopteran insect sounds to deter predators.

Author

Ancillotto L, Pafundi D, Cappa F, Chaverri G, Gamba M, Cervo R, and Russo D

Subjects
Acoustics, Animals, Insecta, Predatory Behavior, Sound, Chiroptera
Abstract

Mimicry is one of the most fascinating phenomena in nature 1 . Mimicry traits often reflect complex, finely tuned, and sometimes extravagant relationships among species and have evolved to deceive predators or prey. Indeed, mimicry has most often evolved to discourage predation: the 'mimic' exhibits phenotypic convergence towards a non-related 'model' organism which is inedible or harmful, so that a given predator, or 'receiver', will refrain from attacking or ingesting the mimic. Traditionally, mimicry is mainly evident and has been mainly studied in the visual domain. Here, we report experiments that document the first case of interspecific acoustic mimicry in a mammal and demonstrate that the distress calls the greater mouse-eared bat (Myotis myotis) broadcasts when handled imitate sounds of stinging bees or wasps to discourage the bat's avian predators., Competing Interests: Declaration of interests The authors declare no competing interests., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Published
2022
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31. Initial Results of a Phase 2 Trial of 18 F-DOPA PET-Guided Dose-Escalated Radiation Therapy for Glioblastoma.

Author

Laack NN, Pafundi D, Anderson SK, Kaufmann T, Lowe V, Hunt C, Vogen D, Yan E, Sarkaria J, Brown P, Kizilbash S, Uhm J, Ruff M, Zakhary M, Zhang Y, Seaberg M, Wan Chan Tseung HS, Kabat B, Kemp B, and Brinkmann D

Subjects
Adult, Aged, Aged, 80 and over, Antineoplastic Agents, Alkylating therapeutic use, Antineoplastic Agents, Immunological therapeutic use, Bevacizumab therapeutic use, Brain Neoplasms diagnostic imaging, Brain Neoplasms drug therapy, Brain Neoplasms mortality, Chemotherapy, Adjuvant methods, Cognition radiation effects, Confidence Intervals, Dose Fractionation, Radiation, Female, Glioblastoma diagnostic imaging, Glioblastoma drug therapy, Glioblastoma mortality, Humans, Kaplan-Meier Estimate, Male, Methylation, Middle Aged, O(6)-Methylguanine-DNA Methyltransferase metabolism, Progression-Free Survival, Prospective Studies, Quality of Life, Temozolomide therapeutic use, Young Adult, Brain Neoplasms radiotherapy, Dihydroxyphenylalanine analogs & derivatives, Glioblastoma radiotherapy, Positron-Emission Tomography, Radiopharmaceuticals, Radiotherapy, Image-Guided
Abstract

Purpose: Our previous work demonstrated that 3,4-dihydroxy-6-[18F]-fluoro-L-phenylalanine ( 18 F-DOPA) positron emission tomography (PET) is sensitive and specific for identifying regions of high density and biologically aggressive glioblastoma. The purpose of this prospective phase 2 study was to determine the safety and efficacy of biologic-guided, dose-escalated radiation therapy (DERT) using 18 F-DOPA PET in patients with glioblastoma., Methods and Materials: Patients with newly diagnosed, histologically confirmed glioblastoma aged ≥18 years without contraindications to 18 F-DOPA were eligible. Target volumes included 51, 60, and 76 Gy in 30 fractions with a simultaneous integrated boost, and concurrent and adjuvant temozolomide for 6 months. 18 F-DOPA PET imaging was used to guide DERT. The study was designed to detect a true progression-free survival (PFS) at 6 months (PFS6) rate ≥72.5% in O6-methylguanine methyltransferase (MGMT) unmethylated patients (DE-Un), with an overall significance level (alpha) of 0.20 and a power of 80%. Kaplan-Meier analysis was performed for PFS and overall survival (OS). Historical controls (HCs) included 139 patients (82 unmethylated) treated on prospective clinical trials or with standard RT at our institution. Toxicities were evaluated with Common Terminology Criteria for Adverse Events v4.0., Results: Between January 2014 and December 2018, 75 evaluable patients were enrolled (39 DE-Un, 24 methylated [DE-Mth], and 12 indeterminate). PFS6 for DE-Un was 79.5% (95% confidence interval, 63.1%-90.1%). Median PFS was longer for DE-Un patients compared with historical controls (8.7 months vs 6.6 months; P = .017). OS was similarly longer, but the difference was not significant (16.0 vs 13.5 months; P = .13). OS was significantly improved for DE-Mth patients compared with HC-Mth (35.5 vs 23.3 months; P = .049) despite nonsignificant improvement in PFS (10.7 vs 9.0 months; P = .26). Grade 3 central nervous system necrosis occurred in 13% of patients, but treatment with bevacizumab improved symptoms in all cases., Conclusions: 18 F-DOPA PET-guided DERT appears to be safe, and it significantly improves PFS in MGMT unmethylated glioblastoma. OS is significantly improved in MGMT methylated patients. Further investigation of 18 F-DOPA PET biologic guided DERT for glioblastoma is warranted., (Copyright © 2021 Elsevier Inc. All rights reserved.)

Published
2021
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32. Soft Tissue Sarcoma Stiffness and Perfusion Evaluation by MRE and DCE-MRI for Radiation Therapy Response Assessment: A Technical Feasibility Study.

Author

Pepin K, Grimm R, Kargar S, Howe BM, Fritchie K, Frick M, Wenger D, Okuno S, Ehman R, McGee K, James S, Laack N, Herman M, and Pafundi D

Abstract

Soft tissue sarcomas are a rare and heterogeneous group of malignancies that present significant diagnostic and therapeutic challenges. Patient stratification based on tumor aggressiveness and early therapeutic response based on quantitative imaging may improve prediction of treatment response and the evaluation of new treatment strategies in clinical trials. The purpose of this pilot study was to determine the technical feasibility of magnetic resonance elastography (MRE) and dynamic contrast-enhanced (DCE) MRI for the evaluation of sarcoma stiffness and perfusion in 9 patients with histologically confirmed sarcoma. Additionally, we assessed the feasibility of utilizing MRE and DCE-MRI for the early evaluation of response to radiation therapy in 4 patients to determine the utility of further evaluation in a larger cohort study. Tumor size, stiffness, and perfusion parameters all decreased from baseline at the time of the pre-surgery or follow-up MRI, and results were compared to pathology or conventional imaging. MRE and DCE-MRI may be useful for the quantitative evaluation of tumor stiffness and perfusion, and therapy response assessment in soft tissue sarcomas.

Published
2019
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33. Transanal endoscopic microsurgery after neoadjuvant radiochemotherapy for locally advanced extraperitoneal rectal cancer.

Author

Rizzo G, Zaccone G, Magnocavallo M, Mattana C, Pafundi DP, Gambacorta MA, Valentini V, and Coco C

Subjects
Adult, Aged, Combined Modality Therapy, Female, Humans, Male, Middle Aged, Neoadjuvant Therapy, Prospective Studies, Rectal Neoplasms pathology, Treatment Outcome, Chemoradiotherapy, Rectal Neoplasms therapy, Transanal Endoscopic Microsurgery
Abstract

Purpose: The aim of this study is to provide a prospective analysis of post-operative and oncological outcomes in patients affected by locally advanced rectal cancer (LARC), who obtained a major/complete clinical response after pre-operative radio-chemotherapy (RCT) and were treated with local excision (LE) by trans-anal endoscopic microsurgery (TEM) to confirm a pathological complete response (pCR) after to neo-adjuvant RCT., Methods: All patients with LARC treated by pre-operative RCT and full-thickness LE by TEM (2000-2014) were included in the study. If the pathological analysis confirmed near complete or pCR, intensive follow up was proposed. If the pathological response was incomplete, a radical resection with TME was proposed. Post-operative (according to Clavien's classification), functional and long-term oncological outcome were analyzed., Results: 36 patients were treated by TEM. The median post-operative hospital stay was 5 days. The post-operative morbidity was 41.6% (no grade ≥3). At pathological analysis, 23 specimens were ypT0 TRG1, and 4 were ypT1 TRG2. In 9 cases (ypT>1 and/or TRG>2), radical surgery with TME was proposed but 3 refused it. Median follow-up was 68 months. One local recurrence and 4 distant metastases occurred. The 5-yr actuarial local control, overall survival and disease-free survival were 96.0%, 92.0% and 82.8%., Conclusions: In case of major or complete clinical response of LARC after pre-operative RCT, LE by TEM can be used to confirm the pathological response. This avoids the necessity of radical surgery and, in our experience, this approach seems to guarantee oncological safety with the functional advantages of an organ-sparing procedure., (Copyright © 2017 Elsevier Ltd, BASO ~ The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.)

Published
2017
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34. Impact of Software Modeling on the Accuracy of Perfusion MRI in Glioma.

Author

Hu LS, Kelm Z, Korfiatis P, Dueck AC, Elrod C, Ellingson BM, Kaufmann TJ, Eschbacher JM, Karis JP, Smith K, Nakaji P, Brinkman D, Pafundi D, Baxter LC, and Erickson BJ

Subjects
Adult, Aged, Brain Neoplasms pathology, Cerebrovascular Circulation physiology, Female, Glioma pathology, Humans, Male, Middle Aged, Perfusion, Software, Brain Neoplasms blood supply, Glioma blood supply, Image Interpretation, Computer-Assisted methods, Magnetic Resonance Imaging methods, Models, Neurological
Abstract

Background and Purpose: Relative cerebral blood volume, as measured by T2*-weighted dynamic susceptibility-weighted contrast-enhanced MRI, represents the most robust and widely used perfusion MR imaging metric in neuro-oncology. Our aim was to determine whether differences in modeling implementation will impact the correction of leakage effects (from blood-brain barrier disruption) and the accuracy of relative CBV calculations as measured on T2*-weighted dynamic susceptibility-weighted contrast-enhanced MR imaging at 3T field strength., Materials and Methods: This study included 52 patients with glioma undergoing DSC MR imaging. Thirty-six patients underwent both non-preload dose- and preload dose-corrected DSC acquisitions, with 16 patients undergoing preload dose-corrected acquisitions only. For each acquisition, we generated 2 sets of relative CBV metrics by using 2 separate, widely published, FDA-approved commercial software packages: IB Neuro and nordicICE. We calculated 4 relative CBV metrics within tumor volumes: mean relative CBV, mode relative CBV, percentage of voxels with relative CBV > 1.75, and percentage of voxels with relative CBV > 1.0 (fractional tumor burden). We determined Pearson (r) and Spearman (ρ) correlations between non-preload dose- and preload dose-corrected metrics. In a subset of patients with recurrent glioblastoma (n = 25), we determined receiver operating characteristic area under the curve for fractional tumor burden accuracy to predict the tissue diagnosis of tumor recurrence versus posttreatment effect. We also determined correlations between rCBV and microvessel area from stereotactic biopsies (n = 29) in 12 patients., Results: With IB Neuro, relative CBV metrics correlated highly between non-preload dose- and preload dose-corrected conditions for fractional tumor burden (r = 0.96, ρ = 0.94), percentage > 1.75 (r = 0.93, ρ = 0.91), mean (r = 0.87, ρ = 0.86), and mode (r = 0.78, ρ = 0.76). These correlations dropped substantially with nordicICE. With fractional tumor burden, IB Neuro was more accurate than nordicICE in diagnosing tumor versus posttreatment effect (area under the curve = 0.85 versus 0.67) (P < .01). The highest relative CBV-microvessel area correlations required preload dose and IB Neuro (r = 0.64, ρ = 0.58, P = .001)., Conclusions: Different implementations of perfusion MR imaging software modeling can impact the accuracy of leakage correction, relative CBV calculation, and correlations with histologic benchmarks., (© 2015 by American Journal of Neuroradiology.)

Published
2015
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35. Positioning reproducibility with and without rotational corrections for 2 head and neck immobilization systems.

Author

Courneyea L, Mullins J, Howard M, Foote R, Garces Y, Ma D, Beltran C, Brinkmann D, and Pafundi D

Subjects
Humans, Immobilization instrumentation, Organs at Risk, Cone-Beam Computed Tomography, Head and Neck Neoplasms radiotherapy, Immobilization methods, Patient Positioning, Radiotherapy Planning, Computer-Assisted methods, Radiotherapy Setup Errors prevention & control, Radiotherapy, Image-Guided methods
Abstract

Purpose: The purpose of this study was to evaluate the impact of offline rotational corrections and assess intrafraction motion for head and neck (H&N) cancer patients immobilized with and without a custom neck cushion., Methods and Materials: Fifty H&N cancer patients were immobilized and imaged with pretreatment and posttreatment cone beam computed tomography (CBCT) for each treatment fraction. Of these patients, 25 had a custom neck cushion added to their immobilization. Each CBCT was registered to the simulation computed tomography offline. Registrations were performed with automatching tools and a matching volume of interest that consisted of a 5-mm expansion around the mandible, occipital bone, C1/C2, and C7/T1. To determine positioning accuracy, the registration was inspected to confirm these bony anatomy structures were contained within a 3- or 5-mm expansion of the simulation position. If not, the registration was repeated with rotational corrections included and re-evaluated. For each fraction, intrafraction motion was also quantified through the difference between the pretreatment and posttreatment CBCT registration coordinates., Results: For translational registrations, the bony anatomy in pretreatment imaging was outside the 3-mm or 5-mm expansion structure, respectively, for 49% and 15% of fractions on average for patients without a custom headrest and for 48% and 13% of fractions on average for patients with a custom headrest. The addition of rotational corrections reduced these numbers to 21% and 4% and to 28% and 6%, respectively. Intrafraction motion was significantly lower for patients immobilized with the addition of a custom neck cushion: 1.0 ± 0.5 mm compared with 1.8 ± 1.6 mm for patients with the standard headrest only (P = .02). This was reflected in posttreatment positioning accuracy, which was significantly reduced in the case of the standard headrest compared with pretreatment imaging (P values of < .001 to .048)., Conclusions: Rotational corrections significantly improved pretreatment patient positioning accuracy (P < .001). Intrafraction motion was reduced significantly through the addition of a custom neck cushion and resulted in an increase in posttreatment positioning accuracy for these patients., (Copyright © 2015 American Society for Radiation Oncology. Published by Elsevier Inc. All rights reserved.)

Published
2015
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36. Report on use of a methodology for commissioning and quality assurance of a VMAT system.

Author

Mayo C, Fong de los Santos L, Kruse J, Blackwell CR, McLemore LB, Pafundi D, Stoker J, and Herman M

Subjects
Calibration, Humans, Quality Control, Radiotherapy Dosage standards, Radiotherapy Planning, Computer-Assisted, Reproducibility of Results, Quality Assurance, Health Care methods, Radiotherapy, Intensity-Modulated standards
Abstract

Introduction: Results of use of methodology for VMAT commissioning and quality assurance, utilizing both control point tests and dosimetric measurements are presented., Methods and Materials: A generalizable, phantom measurement approach is used to characterize the accuracy of the measurement system. Correction for angular response of the measurement system and inclusion of couch structures are used to characterize the full range gantry angles desirable for clinical plans. A dose based daily QA measurement approach is defined., Results: Agreement in the static vs. VMAT picket fence control point test was better than 0.5 mm. Control point tests varying gantry rotation speed, leaf speed and dose rate, demonstrated agreement with predicted values better than 1%. Angular dependence of the MatriXX array, varied over a range of 0.94-1.06, with respect to the calibration condition. Phantom measurements demonstrated central axis dose accuracy for un-modulated four field box plans was ≥2.5% vs. 1% with and without angular correction respectively with better results for VMAT (0.4%) vs. IMRT (1.6%) plans. Daily QA results demonstrated average agreement all three chambers within 0.4% over 9 month period with no false positives at a 3% threshold., Discussion: The methodology described is simple in design and characterizes both the inherit limitations of the measurement system as well at the dose based measurements that may be directly related to patient plan QA.

Published
2013
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37. An image-based skeletal dosimetry model for the ICRP reference newborn--internal electron sources.

Author

Pafundi D, Rajon D, Jokisch D, Lee C, and Bolch W

Subjects
Bone and Bones radiation effects, Computer Simulation, Electrons, Humans, Infant, Newborn, Internationality, Radiation Dosage, Body Burden, Bone and Bones physiology, Image Interpretation, Computer-Assisted standards, Imaging, Three-Dimensional standards, Models, Biological, Whole-Body Counting standards
Abstract

In this study, a comprehensive electron dosimetry model of newborn skeletal tissues is presented. The model is constructed using the University of Florida newborn hybrid phantom of Lee et al (2007 Phys. Med. Biol. 52 3309-33), the newborn skeletal tissue model of Pafundi et al (2009 Phys. Med. Biol. 54 4497-531) and the EGSnrc-based Paired Image Radiation Transport code of Shah et al (2005 J. Nucl. Med. 46 344-53). Target tissues include the active bone marrow (surrogate tissue for hematopoietic stem cells), shallow marrow (surrogate tissue for osteoprogenitor cells) and unossified cartilage (surrogate tissue for chondrocytes). Monoenergetic electron emissions are considered over the energy range 1 keV to 10 MeV for the following source tissues: active marrow, trabecular bone (surfaces and volumes), cortical bone (surfaces and volumes) and cartilage. Transport results are reported as specific absorbed fractions according to the MIRD schema and are given as skeletal-averaged values in the paper with bone-specific values reported in both tabular and graphic format as electronic annexes (supplementary data). The method utilized in this work uniquely includes (1) explicit accounting for the finite size and shape of newborn ossification centers (spongiosa regions), (2) explicit accounting for active and shallow marrow dose from electron emissions in cortical bone as well as sites of unossified cartilage, (3) proper accounting of the distribution of trabecular and cortical volumes and surfaces in the newborn skeleton when considering mineral bone sources and (4) explicit consideration of the marrow cellularity changes for active marrow self-irradiation as applicable to radionuclide therapy of diseased marrow in the newborn child.

Published
2010
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38. The UF family of reference hybrid phantoms for computational radiation dosimetry.

Author

Lee C, Lodwick D, Hurtado J, Pafundi D, Williams JL, and Bolch WE

Subjects
Adolescent, Adult, Child, Child, Preschool, Family, Female, Florida, Head diagnostic imaging, Humans, Infant, Infant, Newborn, Male, Models, Anatomic, Radiography, Thoracic, Software, Tomography, X-Ray Computed, Universities, Computer Simulation, Phantoms, Imaging, Radiometry instrumentation
Abstract

Computational human phantoms are computer models used to obtain dose distributions within the human body exposed to internal or external radiation sources. In addition, they are increasingly used to develop detector efficiencies for in vivo whole-body counters. Two classes of computational human phantoms have been widely utilized for dosimetry calculation: stylized and voxel phantoms that describe human anatomy through mathematical surface equations and 3D voxel matrices, respectively. Stylized phantoms are flexible in that changes to organ position and shape are possible given avoidance of region overlap, while voxel phantoms are typically fixed to a given patient anatomy, yet can be proportionally scaled to match individuals of larger or smaller stature, but of equivalent organ anatomy. Voxel phantoms provide much better anatomical realism as compared to stylized phantoms which are intrinsically limited by mathematical surface equations. To address the drawbacks of these phantoms, hybrid phantoms based on non-uniform rational B-spline (NURBS) surfaces have been introduced wherein anthropomorphic flexibility and anatomic realism are both preserved. Researchers at the University of Florida have introduced a series of hybrid phantoms representing the ICRP Publication 89 reference newborn, 15 year, and adult male and female. In this study, six additional phantoms are added to the UF family of hybrid phantoms-those of the reference 1 year, 5 year and 10 year child. Head and torso CT images of patients whose ages were close to the targeted ages were obtained under approved protocols. Major organs and tissues were segmented from these images using an image processing software, 3D-DOCTOR. NURBS and polygon mesh surfaces were then used to model individual organs and tissues after importing the segmented organ models to the 3D NURBS modeling software, Rhinoceros. The phantoms were matched to four reference datasets: (1) standard anthropometric data, (2) reference organ masses from ICRP Publication 89, (3) reference elemental compositions provided in ICRP 89 as well as ICRU Report 46, and (4) reference data on the alimentary tract organs given in ICRP Publications 89 and 100. Various adjustments and refinements to the organ systems of the previously described newborn, 15 year and adult phantoms are also presented. The UF series of hybrid phantoms retain the non-uniform scalability of stylized phantoms while maintaining the anatomical realism of patient-specific voxel phantoms with respect to organ shape, depth and inter-organ distance. While the final versions of these phantoms are in a voxelized format for radiation transport simulation, their primary format is given as NURBS and polygon mesh surfaces, thus permitting one to sculpt non-reference phantoms using the reference phantoms as an anatomic template.

Published
2010
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39. An image-based skeletal tissue model for the ICRP reference newborn.

Author

Pafundi D, Lee C, Watchman C, Bourke V, Aris J, Shagina N, Harrison J, Fell T, and Bolch W

Subjects
Computer Simulation, Humans, Infant, Newborn, Internationality, Radiation Dosage, Radiography, Reference Values, Bone and Bones anatomy & histology, Bone and Bones diagnostic imaging, Models, Anatomic, Models, Biological, Whole Body Imaging standards, Whole-Body Counting standards
Abstract

Hybrid phantoms represent a third generation of computational models of human anatomy needed for dose assessment in both external and internal radiation exposures. Recently, we presented the first whole-body hybrid phantom of the ICRP reference newborn with a skeleton constructed from both non-uniform rational B-spline and polygon-mesh surfaces (Lee et al 2007 Phys. Med. Biol. 52 3309-33). The skeleton in that model included regions of cartilage and fibrous connective tissue, with the remainder given as a homogenous mixture of cortical and trabecular bone, active marrow and miscellaneous skeletal tissues. In the present study, we present a comprehensive skeletal tissue model of the ICRP reference newborn to permit a heterogeneous representation of the skeleton in that hybrid phantom set-both male and female-that explicitly includes a delineation of cortical bone so that marrow shielding effects are correctly modeled for low-energy photons incident upon the newborn skeleton. Data sources for the tissue model were threefold. First, skeletal site-dependent volumes of homogeneous bone were obtained from whole-cadaver CT image analyses. Second, selected newborn bone specimens were acquired at autopsy and subjected to micro-CT image analysis to derive model parameters of the marrow cavity and bone trabecular 3D microarchitecture. Third, data given in ICRP Publications 70 and 89 were selected to match reference values on total skeletal tissue mass. Active marrow distributions were found to be in reasonable agreement with those given previously by the ICRP. However, significant differences were seen in total skeletal and site-specific masses of trabecular and cortical bone between the current and ICRP newborn skeletal tissue models. The latter utilizes an age-independent ratio of 80%/20% cortical and trabecular bone for the reference newborn. In the current study, a ratio closer to 40%/60% is used based upon newborn CT and micro-CT skeletal image analyses. These changes in mineral bone composition may have significant dosimetric implications when considering localized marrow dosimetry for radionuclides that target mineral bone in the newborn child.

Published
2009
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