I S Gruzdev1, K A Zamyatina2, V S Tikhonova3, E V Kondratyev4, A V Glotov5, G G Karmazanovsky6, A Sh Revishvili7. 1. Deparment of Radiology, A.V. Vishnevsky National Medical Research Centre of Surgery, Moscow, Russia. Electronic address: gruzdev_van@mail.ru. 2. Deparment of Radiology, A.V. Vishnevsky National Medical Research Centre of Surgery, Moscow, Russia. Electronic address: catos-zama@mail.ru. 3. Deparment of Radiology, A.V. Vishnevsky National Medical Research Centre of Surgery, Moscow, Russia. Electronic address: vdovenkobc28@mail.ru. 4. Deparment of Radiology, A.V. Vishnevsky National Medical Research Centre of Surgery, Moscow, Russia. Electronic address: evgenykondratiev@gmail.com. 5. Pathological Department, A.V. Vishnevsky National Medical Research Centre of Surgery, Moscow, Russia. Electronic address: glotov@ixv.ru. 6. Deparment of Radiology, A.V. Vishnevsky National Medical Research Centre of Surgery, Moscow, Russia; Radiology Department, Pirogov Russian National Research Medical University, Bolshaya Serpukhovskaya str. 27, 117997, Moscow, Russia. Electronic address: karmazanovsky@yandex.ru. 7. Arrhythmology Department, A.V. Vishnevsky National Medical Research Centre of Surgery, Moscow, Russia. Electronic address: vishnevskogo@ixv.ru.
Abstract
PURPOSE: To evaluate the reproducibility of textural features of pancreatic neuroendocrine neoplasms (PNENs), obtained under various CT-scanning conditions. METHODS AND MATERIALS: We included 12 patients with PNENs and 2 contrast enhanced CT (CECT): 1) from our center according to standard CT-protocol; 2) from another institution. Two radiologists independently segmented the entire neoplasm volume using a 3D region of interest by LIFEx application on the arterial phase and then copied it to the other phases. 52 texture features were calculated for each phase. As a criterion for the segmentation consistency, a value of neoplasm volume was compared using the Bland-Altman method. The Kendall concordance coefficient was calculated to assess the texture features reproducibility in three scenarios: 1) different radiologists, same CECT; 2) same radiologist, different CECT; 3) different radiologists, different CECT. RESULTS: For the scenario 1 the neoplasm volumes (except one large PNEN) were found within two standard deviations; this indicates high consistency of the segmentation. For the first scenario, Kendall's coefficient exceeded a threshold of 0.7 for all 52 features for all CT phases. For the second and third scenario, the concordance coefficient exceeded a threshold of 0.7 in 38, 28, 42, 45 and in 36, 25, 36, 44 features for the native, arterial, venous and delayed phases, respectively. CONCLUSION: The highest reproducibility was found in the first scenario compared to the second and third: 100 % vs. 74 % and 67 %. Reproducible texture features can be reliably used to assess the PNENs structure.
PURPOSE: To evaluate the reproducibility of textural features of pancreatic neuroendocrine neoplasms (PNENs), obtained under various CT-scanning conditions. METHODS AND MATERIALS: We included 12 patients with PNENs and 2 contrast enhanced CT (CECT): 1) from our center according to standard CT-protocol; 2) from another institution. Two radiologists independently segmented the entire neoplasm volume using a 3D region of interest by LIFEx application on the arterial phase and then copied it to the other phases. 52 texture features were calculated for each phase. As a criterion for the segmentation consistency, a value of neoplasm volume was compared using the Bland-Altman method. The Kendall concordance coefficient was calculated to assess the texture features reproducibility in three scenarios: 1) different radiologists, same CECT; 2) same radiologist, different CECT; 3) different radiologists, different CECT. RESULTS: For the scenario 1 the neoplasm volumes (except one large PNEN) were found within two standard deviations; this indicates high consistency of the segmentation. For the first scenario, Kendall's coefficient exceeded a threshold of 0.7 for all 52 features for all CT phases. For the second and third scenario, the concordance coefficient exceeded a threshold of 0.7 in 38, 28, 42, 45 and in 36, 25, 36, 44 features for the native, arterial, venous and delayed phases, respectively. CONCLUSION: The highest reproducibility was found in the first scenario compared to the second and third: 100 % vs. 74 % and 67 %. Reproducible texture features can be reliably used to assess the PNENs structure.
Authors: Giorgio Maria Masci; Fabio Ciccarelli; Fabrizio Ivo Mattei; Damiano Grasso; Fabio Accarpio; Carlo Catalano; Andrea Laghi; Paolo Sammartino; Franco Iafrate Journal: Radiol Med Date: 2022-01-23 Impact factor: 3.469
Authors: Calogero Casà; Antonio Piras; Andrea D'Aviero; Francesco Preziosi; Silvia Mariani; Davide Cusumano; Angela Romano; Ivo Boskoski; Jacopo Lenkowicz; Nicola Dinapoli; Francesco Cellini; Maria Antonietta Gambacorta; Vincenzo Valentini; Gian Carlo Mattiucci; Luca Boldrini Journal: Ther Adv Gastrointest Endosc Date: 2022-03-16