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600 results on '"Catalano, Onofrio"'

51. The role of FDG PET/CT radiomics in the prediction of pathological response to neoadjuvant treatment in patients with esophageal cancer.

Author

Eifer, Michal, Peters-Founshtein, Gregory, Yoel, Lotem Cohn, Pinian, Hodaya, Steiner, Roee, Klang, Eyal, Catalano, Onofrio A., Eshet, Yael, and Domachevsky, Liran

Abstract

Background: Attainment of a complete histopathological response following neoadjuvant therapy has been associated with favorable long-term survival outcomes in esophageal cancer patients. We investigated the ability of 18F-fluorodeoxyglucose positron emission tomography/computed tomography (FDG PET/CT) radiomic features to predict the pathological response to neoadjuvant treatment in patients with esophageal cancer. Materials and methods: A retrospective review of medical records of patients with locally advanced resectable esophageal or esophagogastric junctional cancers. Included patients had a baseline FDG PET/CT scan and underwent Chemoradiotherapy for Oesophageal Cancer Followed by Surgery Study (CROSS) protocol followed by surgery. Four demographic variables and 107 PET radiomic features were extracted and analyzed using univariate and multivariate analyses to predict response to neoadjuvant therapy. Results: Overall, 53 FDG-avid primary esophageal cancer lesions were segmented and radiomic features were extracted. Seventeen radiomic features and 2 non-radiomics variables were found to exhibit significant differences between neoadjuvant therapy responders and non-responders. An unsupervised hierarchical clustering analysis using these 19 variables classified patients in a manner significantly associated with response to neoadjuvant treatment (p < 0.01). Conclusion: Our findings highlight the potential of FDG PET/CT radiomic features as a predictor for the response to neoadjuvant therapy in esophageal cancer patients. The combination of these radiomic features with select non-radiomic variables provides a model for stratifying patients based on their likelihood to respond to neoadjuvant treatment. [ABSTRACT FROM AUTHOR]

Published
2024
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52. Hybrid imaging of the abdomen and pelvis

Author

Suarez-Weiss, Krista Elise, Herold, Alexander, Gervais, Debra, Palmer, Edwin, Amorim, Bárbara, King, Joseph D., Weier, Li, Shahein, Tajmir, Bernstine, Hanna, Domachevsk, Liran, Cañamaque, Lina Garcia, Herrmann, Ken, Umutlu, Lale, Groshar, David, and Catalano, Onofrio A.

Published
2020
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54. Management implications of fluorodeoxyglucose positron emission tomography/magnetic resonance in untreated intrahepatic cholangiocarcinoma

Author

Ferrone, Cristina, Goyal, Lipika, Qadan, Motaz, Gervais, Debra, Sahani, Dushyant V., Zhu, Andrew X., Hong, Theodore S., Blaszkowsky, Lawrence S., Tanabe, Kenneth K., Vangel, Mark, Amorim, Barbara J., Wo, Jennifer Y., Mahmood, Umar, Pandharipande, Pari V., Catana, Ciprian, Duenas, Virginia P., Collazo, Yolanda Q., Canamaque, Lina G., Domachevsky, Liran, Bernstine, Hanna H., Groshar, David, Shih, Tiffany Tsing-Fang, Li, Yan, Herrmann, Ken, Umutlu, Lale, Rosen, Bruce R., and Catalano, Onofrio A.

Published
2020
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55. Hybridbildgebung bei abdominellen Erkrankungen

Author

Suarez-Weiss, Krista Elise, Herold, Alexander, Gervais, Debra, Palmer, Edwin, Amorim, Bárbara, King, Joseph D., Weier, Li, Shahein, Tajmir, Bernstine, Hanna, Domachevsk, Liran, Cañamaque, Lina Garcia, Umutlu, Lale, Herrmann, Ken, Groshar, David, and Catalano, Onofrio A

Published
2020
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57. Clinical impact of PET/MR in treated colorectal cancer patients

Author

Amorim, Barbara J., Hong, Theodore S., Blaszkowsky, Lawrence S., Ferrone, Cristina R., Berger, David L., Bordeianou, Liliana G., Ricciardi, Rocco, Clark, Jeffrey W., Ryan, David P., Wo, Jennifer Y., Qadan, Motaz, Vangel, Mark, Umutlu, Lale, Groshar, David, Cañamaques, Lina G., Gervais, Debra A., Mahmood, Umar, Rosen, Bruce R., and Catalano, Onofrio A.

Published
2019
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60. Non-exposed endoscopic wall-inversion surgery with one-step nucleic acid amplification for early gastrointestinal tumors: Personal experience and literature review

Author

Crafa, Francesco, primary, Vanella, Serafino, additional, Morante, Aristide, additional, Catalano, Onofrio A, additional, Pomykala, Kelsey L, additional, Baiamonte, Mario, additional, Godas, Maria, additional, Antunes, Alexandra, additional, Costa Pereira, Joaquim, additional, and Giaccaglia, Valentina, additional

Published
2023
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67. Resection of NAFLD/NASH-related Hepatocellular Carcinoma (HCC): Clinical Features and Outcomes Compared with HCC Due to Other Etiologies

Author

Pal Chaudhary, Surendra, primary, Reyes, Stephanie, additional, Chase, Matthew L, additional, Govindan, Aparna, additional, Zhao, Lei, additional, Luther, Jay, additional, Bhan, Irun, additional, Bethea, Emily, additional, Franses, Joseph W, additional, Paige Walsh, Elizabeth, additional, Anne Dageford, Leigh, additional, Kimura, Shoko, additional, Elias, Nahel, additional, Yeh, Heidi, additional, Markman, James, additional, Bozorgzadeh, Adel, additional, Tanabe, Kenneth, additional, Ferrone, Cristina, additional, Zhu, Andrew X, additional, Andersson, Karin, additional, Thiim, Michael, additional, Antonio Catalano, Onofrio, additional, Kambadakone, Avinash, additional, Vagefi, Parsia A, additional, Qadan, Motaz, additional, Pratt, Daniel, additional, Hashemi, Nikroo, additional, Corey, Kathleen E, additional, Misdraji, Joseph, additional, Goyal, Lipika, additional, and Clark, Jeffrey W, additional

Published
2023
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74. Simultaneous multislice diffusion-weighted imaging versus standard diffusion-weighted imaging in whole-body PET/MRI

Author

Furtado, Felipe S., primary, Mercaldo, Nathaniel D., additional, Vahle, Thomas, additional, Benkert, Thomas, additional, Bradley, William R., additional, Ratanaprasatporn, Lisa, additional, Seethamraju, Ravi Teja, additional, Harisinghani, Mukesh G., additional, Lee, Susanna, additional, Suarez-Weiss, Krista, additional, Umutlu, Lale, additional, Catana, Ciprian, additional, Pomykala, Kelsey L., additional, Domachevsky, Liran, additional, Bernstine, Hanna, additional, Groshar, David, additional, Rosen, Bruse R., additional, and Catalano, Onofrio Antonio, additional

Published
2022
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90. Renal Biopsy

Author

Catalano, Onofrio A., Samir, Anthony E., Lee, Michael J., editor, Watkinson, Anthony F., editor, Gervais, Debra A., editor, and Sabharwal, Tarun, editor

Published
2011
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98. Multiparametric 18F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Author

Umutlu, Lale, primary, Kirchner, Julian, additional, Bruckmann, Nils-Martin, additional, Morawitz, Janna, additional, Antoch, Gerald, additional, Ting, Saskia, additional, Bittner, Ann-Kathrin, additional, Hoffmann, Oliver, additional, Häberle, Lena, additional, Ruckhäberle, Eugen, additional, Catalano, Onofrio Antonio, additional, Chodyla, Michal, additional, Grueneisen, Johannes, additional, Quick, Harald H., additional, Fendler, Wolfgang P., additional, Rischpler, Christoph, additional, Herrmann, Ken, additional, Gibbs, Peter, additional, and Pinker, Katja, additional

Published
2022
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99. Role of one-step nucleic acid amplification in colorectal cancer lymph node metastases detection

Author

Crafa, Francesco, Vanella, Serafino, Catalano, Onofrio A., Pomykala, Kelsey L., and Baiamonte, Mario

Subjects
Medizin
Abstract

Current histopathological staging procedures in colorectal cancer (CRC) depend on midline division of the lymph nodes (LNs) with one section of hematoxylin and eosin staining. Cancer cells outside this transection line may be missed, which could lead to understaging of Union for International Cancer Control Stage II high-risk patients. The one-step nucleic acid amplification (OSNA) assay has emerged as a rapid molecular diagnostic tool for LN metastases detection. It is a molecular technique that can analyze the entire LN tissue using a reversetranscriptase loop-mediated isothermal amplification reaction to detect tumorspecific cytokeratin 19 mRNA. Our findings suggest that the OSNA assay has a high diagnostic accuracy in detecting metastatic LNs in CRC and a high negative predictive value. OSNA is a standardized, observer-independent technique, which may lead to more accurate staging. It has been suggested that in stage II CRC, the upstaging can reach 25% and these patients can access postoperative adjuvant chemotherapy. Moreover, intraoperative OSNA sentinel node evaluation may allow early CRC to be treated with organ-preserving surgery, while in more advanced-stage disease, a tailored lymphadenectomy can be performed considering the presence of aberrant lymphatic drainage and skip metastases.

Published
2022

100. Multiparametric¹⁸F-FDG PET/MRI-Based Radiomics for Prediction of Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer

Author

Umutlu, Lale, Kirchner, Julian, Bruckmann, Nils-Martin, Morawitz, Janna, Antoch, Gerald, Ting, Saskia, Bittner, Ann-Kathrin, Hoffmann, Oliver, Häberle, Lena, Ruckhäberle, Eugen, Catalano, Onofrio Antonio, Chodyla, Michal, Grueneisen, Johannes, Quick, Harald H., Fendler, Wolfgang, Rischpler, Christoph, Herrmann, Ken, Gibbs, Peter, and Pinker, Katja

Subjects
Medizin
Abstract

Background: The aim of this study was to assess whether multiparametric¹⁸F-FDG PET/MRI-based radiomics analysis is able to predict pathological complete response in breast cancer patients and hence potentially enhance pretherapeutic patient stratification. Methods: A total of 73 female patients (mean age 49 years; range 27–77 years) with newly diagnosed, therapy-naive breast cancer underwent simultaneous¹⁸F-FDG PET/MRI and were included in this retrospective study. All PET/MRI datasets were imported to dedicated software (ITK-SNAP v. 3.6.0) for lesion annotation using a semi-automated method. Pretreatment biopsy specimens were used to determine tumor histology, tumor and nuclear grades, and immunohistochemical status. Histopathological results from surgical tumor specimens were used as the reference standard to distinguish between complete pathological response (pCR) and noncomplete pathological response. An elastic net was employed to select the most important radiomic features prior to model development. Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated for each model. Results: The best results in terms of AUCs and NPV for predicting complete pathological response in the entire cohort were obtained by the combination of all MR sequences and PET (0.8 and 79.5%, respectively), and no significant differences from the other models were observed. In further subgroup analyses, combining all MR and PET data, the best AUC (0.94) for predicting complete pathologic response was obtained in the HR+/HER2− group. No difference between results with/without the inclusion of PET characteristics was observed in the TN/HER2+ group, each leading to an AUC of 0.92 for all MR and all MR + PET datasets. Conclusion:¹⁸F-FDG PET/MRI enables comprehensive high-quality radiomics analysis for the prediction of pCR in breast cancer patients, especially in those with HR+/HER2− receptor status. CA extern

Published
2022

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