Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have some limitations in the prenatal estimate of postnatal pulmonary hypertension (PH). We propose applying Machine Learning (ML), and Deep Learning (DL) approaches to fetuses and newborns with CDH to develop forecasting models in prenatal epoch, based on the integrated analysis of clinical data, to provide neonatal PH as the first outcome and, possibly: favorable response to fetal endoscopic tracheal occlusion (FETO), need for Extracorporeal Membrane Oxygenation (ECMO), survival to ECMO, and death. Moreover, we plan to produce a (semi)automatic fetus lung segmentation system in Magnetic Resonance Imaging (MRI), which will be useful during project implementation but will also be an important tool itself to standardize lung volume measures for CDH fetuses.

A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH) : protocol for a retrospective study / I. Amodeo, G. De Nunzio, G. Raffaeli, I. Borzani, A. Griggio, L. Conte, F. Macchini, V. Condò, N. Persico, I. Fabietti, S. Ghirardello, M. Pierro, B. Tafuri, G. Como, D. Cascio, M. Colnaghi, F. Mosca, G. Cavallaro. - In: PLOS ONE. - ISSN 1932-6203. - 16:11(2021 Nov), pp. e0259724.1-e0259724.23. [10.1371/journal.pone.0259724]

A maChine and deep Learning Approach to predict pulmoNary hyperteNsIon in newbornS with congenital diaphragmatic Hernia (CLANNISH) : protocol for a retrospective study

G. Raffaeli;N. Persico;F. Mosca;
2021

Abstract

Outcome predictions of patients with congenital diaphragmatic hernia (CDH) still have some limitations in the prenatal estimate of postnatal pulmonary hypertension (PH). We propose applying Machine Learning (ML), and Deep Learning (DL) approaches to fetuses and newborns with CDH to develop forecasting models in prenatal epoch, based on the integrated analysis of clinical data, to provide neonatal PH as the first outcome and, possibly: favorable response to fetal endoscopic tracheal occlusion (FETO), need for Extracorporeal Membrane Oxygenation (ECMO), survival to ECMO, and death. Moreover, we plan to produce a (semi)automatic fetus lung segmentation system in Magnetic Resonance Imaging (MRI), which will be useful during project implementation but will also be an important tool itself to standardize lung volume measures for CDH fetuses.
Settore MED/38 - Pediatria Generale e Specialistica
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2434/881977
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