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2. Clinical features, ventilatory management, and outcome of ARDS caused by COVID-19 are similar to other causes of ARDS

Author

Ferrando, Carlos, Suarez-Sipmann, Fernando, Mellado-Artigas, Ricard, Hernández, María, Gea, Alfredo, Arruti, Egoitz, Aldecoa, César, Martínez-Pallí, Graciela, Martínez-González, Miguel A., Slutsky, Arthur S., Villar, Jesús, Graciela, Martínez-Pallí, Mercadal, Jordi, Muñoz, Guido, Mellado, Ricard, Jacas, Adriana, Vendrell, Marina, Sánchez-Etayo, Gerard, Alcón, Amalia, Belda, Isabel, Agustí, Mercé, Carramiñana, Albert, Gracia, Isabel, Panzeri, Miriam, León, Irene, Balust, Jaume, Navarro, Ricard, Arguís, María José, Carretero, Maria José, Ibáñez, Cristina, Perdomo, Juan, López, Antonio, López, Manuel, Cuñat, Tomás, Ubré, Marta, Ojeda, Antonio, Calvo, Andrea, Rivas, Eva, Hurtado, Paola, Pujol, Roger, Martín, Nuria, Tercero, Javier, Sanahuja, Pepe, Magaldi, Marta, Coca, Miquel, del Rio, Elena, Martínez-Ocon, Julia, Masgoret, Paula, Caballero, Angel, Risco, Raquel, Gómez, Lidia, de Riva, Nicolás, Ruiz, Ana, Beatriz, Tena, Jaramillo, Sebastián, Balibrea, Jose María, de Lacy, Francisco Borja, Otero, Ana, Ibarzabal, Ainitze, Bravo, Raquel, Carreras, Anna, Martín-Barreda, Daniel, Alias, Alfonso Jesús, Balaguer, Mariano, Aliaga, Jorge, Almuedo, Alex, Alonso, Joan Ramón, Andrea, Rut, Angelès, Gerard Sergi, Arias, Marilyn, Aziz, Fátima, Badía, Joan Ramon, Barbeta, Enric, Torres, Toni, Batiste, Guillem, Benet, Pau, Borrat, Xavi, Borrell, María, Bragulat, Ernest, Carmona, Inmaculada, Castellà, Manuel, Castro, Pedro, Ceravalls, Joan, Comino, Oscar, Cucciniello, Claudia, De Deray, Clàudia, De Diego, Oriol, De la Matta, Paula, Farrero, Marta, Fernández, Javier, Fernández, Sara, Fernández, Anna, Ferrer, Miquel, Fervienza, Ana, Forga, María Tallo, Forné, Daniel, Galán, Clàudia, Gomez, Andrea, Guasch, Eduard, Tejero, Maria Hernández, Jiménez, Beltrán, Leyes, Pere, López, Teresa, Martínez, José Antonio, Muñoz, Jose, Nicolás, Josep Maria, Ortiz, José Tomás, Peiró, Anna, Pérez, Manuel, Poch, Esteban, Pujol, Margarida, Quintana, Eduard, Ramis, Bartomeu, Reverter, Enric, Rovira, Irene, Ruiz, Pablo, Sandoval, Elena, Schneider, Stefan, Sibila, Oriol, Solé, Carla, Soriano, Alex, Soy, Dolors, Suárez, M., Téllez, Adrián, Toapanta, Néstor David, Torres, Antoni, Urra, Xavier, Bordell, Alicia, Martín, Silvia, Andrés, Judith, Ruiz, Alberto Martínez, Medel, Gonzalo Tamayo, Villasante, Iñaki Bilbao, Clavero, Fernando Iturri, Álvarez, Covadonga Peralta, Herrera, Julia T., Trancho, Andrea García, Mandiola, Iñaki Sainz, Suarez, Carmen Ruano, Bocos, Angela Ruiz, Izagirre, Eneritz Urrutia, de Urbina Fernández, Pablo Ortiz, Apodaka, Naiara, Molano, Leire Prieto, Ganuza, Eunate, Vallinas, Iratxe, de Orte, Karmele, Paniagua, Celia González, Ortiz, Gemma, Pérez, Mireia, López, Marta, Bárcena, Estíbaliz, Urutxurtu, Erik, Maroño, Maria Jesús, Escontrela, Blanca, Ereñozaga, Aitziber, Lasuen, Deiene, Zabal, Ainhoa, Guereca, Ane, Adalia, Ramón, Zattera, Luigi, Hernandez, Irina Adalid, Altuna, Leire Larrañaga, Castells, Aina Serrallonga, Garcia, Adriana Vilchez, Núñez, María, Román, Lorena, Calvo, Francisco Javier Redondo, González, Ruben Villazala, González, Victor Baladron, Faba, Patricia, Montenegro, Omar, Ramírez, Natalia Bejarano, Contreras, Sergio Marcos, Rodríguez, Alejandro Garcia, Vázquez, Saleta Rey, Pérez, Cristina Garcia, Miguelez, Eva Higuera, Blanco, Irene Pérez, Rivera, David García, de la Fuente, Ane Martín, Pardo, Marta, Rodriguez, Vanessa, Bengoetxea, Unai, Ramasco, Fernando, Bernal, Sheila Olga Santidrián, Hernando, Alvar Santa Cruz, Domínguez, Beatriz, Lima, Ana Vázquez, Candela, Ángel, Bambaren, Ismael A. Acevedo, Blanco, Maria Isabel Albala, Montoiro, Paloma Alonso, Utrera, Fernando Álvarez, Esteruelas, Juan Avellanosa, López, Amal Azzam, Balvis, Alberto José Balvis, Martín, María Beltrán, Haserfaty, Jacobo Benatar, Camacho, Alberto Berruezo, Weimer, Laura Betolaza, del Mar Carbonell Soto, Maria, Seral, Cristina Carrasco, Zaballos, Cristina Cerro, Llamas, Elizabeth Claros, Orduna, Pilar Coleta, Forero, Ingrid P. Cortes, Agustín, Pascual, Aliseda, Crespo, de Pablo Pajares, María Angélica, Remesal, Yolanda Díez, Díaz, Trinidad Dorado, Blasco, Noemí Echevarría, Martín, María Elena Elías, Triviño, Javier Felices, López, Natalia Fernández, Martín, Cristina Fernández, Pozuelo, Natalia Ferreiro, Martín, Luis Gajate, Santos, Clara Gallego, Mayo, Diego Gil, Rojo, María Gómez, Cibrián, Claudia González, López, Elena Herrera, Olmedillo, Borja Hinojal, Gallego, Berta Iglesias, Khonsari, Sassan, Ruiz, María Nuria Mane, Arroyo, María Manzanero, Ortega, Ana María Mariscal, Burcio, Sara Martín, del Carmen Martín González, María, Grande, Ascensión Martín, López, Jose Juan Martín, Rabes, Cecilia Martín, Borja, Marcos Martínez, Castro, Nilda Martínez, Pérez, Adolfo Martínez, Matcan, Snejana, Viñas, Cristina Medrano, Herrera, Lisset Miguel, Betancur, Adrián Mira, Carbajo, María Montiel, Moradas, Javier Moya, Pérez, Lorena Muñoz, Murias, Mónica Nuñez, González, Eva Ordiales, Recio, Óscar Ordoñez, Rodriguez, Miguel Ángel Palomero, Roux, Diego Parise, Torres, Lucia Pereira, Lagunas, David Pestaña, Corraliza, Juana María Pinto, Rodrigo, Marian Prieto, Diaz-Regaño, Inmaculada Rodriguez, Esteban, David Rodriguez, Pernia, Víctor Rojas, Saiz, Álvaro Ruigómez, Villarino, Bárbara Saavedra, Palero, Noemí Samaranch, Pérez, Gloria Santos, Pérez, Jaume Serna, Romero, Ana Belén Serrano, López, Jesús Tercero, García, Carlos Tiscar, de la Torre Concostrina, Marta, Mesa, Eva María Ureta, Olarte, Eva Velasco, Martínez, Judith Villahoz, Palacios, Raúl Villalaba, García, Gema Villanueva, de Medeiros, Cristina Vogel, Ovejero, Soraya Gholamian, Orgaz, Marta Vicente, Herradon, Patricia Lloreda, Gómez, Cristina Crespo, Sarmiento-Trujillo, Tatiana, Medina, Noemí García, García, María Martínez, Ramírez, Carles Espinós, Rivero, Nabil Mouhaffel, Gil, Jose Antonio Bernia, Martín, Sonsoles, Moral, María Victoria, Galán, Josefina, Paniagua, Pilar, Pérez, Sergio, Bainac, Albert, Arias, Ana, Ramil, Elsa, Escudero, Jorge, Monedero, Pablo, Cara, Carmen, Lara, Andrea, Mendez Martínez, E., Mendoza, Jorge, Baines, Íñigo Rubio, Montero, Alejandro, Ibañez, Rocío Armero, Pitarch, Juan Vicente Llau, Alcover, Fernando Rauer, Herreros, Cristina Álvarez, Martín, Cyntia Sánchez, Olmos, Lucía López Ocáriz, Moruno, Marta Navas, Montoto, Fernando García, Rodriguez, M. F. Mirón, Gamito, Cristina Hernández, Orejudo, Antonio Barba, Vielma, Luis Gerardo Smith, Marín, Yasmina González, de Borja Amador Penco, Francisco, Domínguez, Marta Donoso, Ramírez, Silvia Esquivel, Carbonell, José Antonio, López, Berta Monleón, Martínez-Castro, Sara, Aguilar, Gerardo, Gestal, María, Casas, Pablo, Rosato, Angel Outeiro, Pan, Andrea Naveiro, Portela, María Alonso, Romar, Adrián García, Rodríguez, Eva Mosquera, Seijo, Diego Ruanova, Maceiras, Pablo Rama, Castro-Ceoane, Francisco, López, Esther Moreno, Gil, Sergio, Antón, Julia Guillén, Tirado, Patricia García-Consuegra, Calvo, Aurora Callau, Lisbona, Laura Forés, Romero, María Carbonell, Gil, Belén Albericio, Jarne, Laura Pradal, Lozano, María Soria, López, Diego Loscos, Abarca, Andrea Patiño, Pérez-Asenjo, Jordi Serrano Javier, Díez-Domínguez, Ángel, Zubizarreta, Ion, Ramos, Jon, Fernández, Iosu, Maseda, Emilio, de la Rica, Alejandro Suárez, Veganzones, Javier, Insausti, Itziar, Sagra, Javier, Carrasco, Sofía Díaz, Feijoo, Ana Montero, Garutti, Julio Yagüe. Ignacio, Parga, Eva Bassas, Garcia, Carmen Deiros, Rosa, Elisenda Pujol, Navarro, Ana Tejedor, Gabernet, Roser Font, Bernat, Maria José, Valls, Meritxell Serra, Garcia-Bernalt, Cristina Cobaleda, Anton, Jesus Fernanz, Sierra, Adriana Aponte, Gomez, Lucia Gil, Vaqueiro, Olaia Guenaga, Marin, Susana Hernandez, Pinzon, Laura Pardo, Aranda, Sira Garcia, Orejuela, Carlos Briones, Sanchez, Edgar Cortes, Fernandez, Alejandro Romero, Sanjosé, Esther Fernández, Garsabal, Patricia Iglesias, Lopez, Guillermo Isidro, Vicol, Ana, Malagon, Sara Espejo, Loewe, Maria Sanabra, Torradeflo, Laura Grau, Alcaide, Lourdes Blanco, Sanclemente, Gloria Buenaventura, Serra Pujol, Pere, Mendoza, Gustavo Cuadros, Konarska, Miroslawa, Almenara, Fedra Bachs, Golska, Agnieszka, Blesa, Aleix Carmona, Serra, Arantxa Mas, Melchor, Javier Ripollés, Moreno, Ana Nieto, Novo, Káteri Chao, López, Sandra Gadín, Moreno, Elena Nieto, Tonal, Bérénice Gutiérrez, de Pablo, Elena Lucena, Yañez, Barbara Algar, Rivero, Beatriz Vázquez, Mateo, Beatriz Nozal, de Retes, Marina, Escoda, Norma Aracil, Mayo, Cristina Gallardo, González, Rosa Sanz, Escobar, Alicia Ruiz, López, Maria Laura Pelegrina, Peña, Marina Valenzuela, Dueñas, David Stolle, Motos, Ane Abad, Abad-Gurumeta, Alfredo, Errazquin, Ana Tirado, Ruiz, Elena Sáez, Perez, Nerea Gómez, de Francisco, González, Borja Bau, Serra, Cesar Morcillo, Higueras, Jessica Souto, Vicente, Rosario, Ferrandis, Raquel, Martín, Silvia Polo, Moncho, Azucena Pajares, Puigdollers, Ignacio Moreno, Cortés, Juan Pérez Artacho, Calvo, Ana Moret, Peña, Ana Pi, Fernández, María Catalán, Varela, Marina, Diaz, Pilar, Chiva, María Isabel Forés, Agulló, A. Javier, Pérez, Antonio, Barrionuevo, María, Medrano, Paloma, Sanz, Cristina, Ortega, Manuel, Galiana, Maria, Margarit, Antoni, del Rio, Válerie Mourre, Muxella, Eva Heras, and Vidal, Anna

Subjects
Mechanical ventilation, ARDS, Acute respiratory distress syndrome, business.industry, Original, medicine.medical_treatment, Hazard ratio, 030208 emergency & critical care medicine, medicine.disease, Critical Care and Intensive Care Medicine, 3. Good health, Coronavirus, 03 medical and health sciences, Plateau pressure, Prone position, 0302 clinical medicine, 030228 respiratory system, Anesthesia, Intensive care, Breathing, Medicine, business, Tidal volume, Outcome
Abstract

Purpose The main characteristics of mechanically ventilated ARDS patients affected with COVID-19, and the adherence to lung-protective ventilation strategies are not well known. We describe characteristics and outcomes of confirmed ARDS in COVID-19 patients managed with invasive mechanical ventilation (MV). Methods This is a multicenter, prospective, observational study in consecutive, mechanically ventilated patients with ARDS (as defined by the Berlin criteria) affected with with COVID-19 (confirmed SARS-CoV-2 infection in nasal or pharyngeal swab specimens), admitted to a network of 36 Spanish and Andorran intensive care units (ICUs) between March 12 and June 1, 2020. We examined the clinical features, ventilatory management, and clinical outcomes of COVID-19 ARDS patients, and compared some results with other relevant studies in non-COVID-19 ARDS patients. Results A total of 742 patients were analysed with complete 28-day outcome data: 128 (17.1%) with mild, 331 (44.6%) with moderate, and 283 (38.1%) with severe ARDS. At baseline, defined as the first day on invasive MV, median (IQR) values were: tidal volume 6.9 (6.3–7.8) ml/kg predicted body weight, positive end-expiratory pressure 12 (11–14) cmH2O. Values of respiratory system compliance 35 (27–45) ml/cmH2O, plateau pressure 25 (22–29) cmH2O, and driving pressure 12 (10–16) cmH2O were similar cto values from non-COVID-19 ARDS observed in other studies. Recruitment maneuvers, prone position and neuromuscular blocking agents were used in 79%, 76% and 72% of patients, respectively. The risk of 28-day mortality was lower in mild ARDS [hazard ratio (RR) 0.56 (95% CI 0.33–0.93), p = 0.026] and moderate ARDS [hazard ratio (RR) 0.69 (95% CI 0.47–0.97), p = 0.035] when compared to severe ARDS. The 28-day mortality was similar to other observational studies in non-COVID-19 ARDS patients. Conclusions In this large series, COVID-19 ARDS patients have features similar to other causes of ARDS, compliance with lung-protective ventilation was high, and the risk of 28-day mortality increased with the degree of ARDS severity. Electronic supplementary material The online version of this article (10.1007/s00134-020-06192-2) contains supplementary material, which is available to authorized users.

Published
2020

4. Semi-supervised Classification by Probabilistic Relaxation

Author

José Martínez Sotoca, Henry Anaya-Sánchez, Filiberto Pla, and Adolfo Martínez-Usó

Subjects
business.industry, Small number, Probabilistic logic, Pattern recognition, Image segmentation, Relaxation theory, Machine learning, computer.software_genre, Pattern recognition (psychology), Contextual information, Relaxation (approximation), Artificial intelligence, business, computer, Mathematics
Abstract

In this paper, a semi-supervised approach based on probabilistic relaxation theory is presented. It combines two desirable properties; firstly, a very small number of labelled samples is needed and, secondly, the assignment of labels is consistently performed according to our contextual information constraints. The proposed technique has been successfully applied to pattern recognition problems, obtaining promising preliminary results in database classification and image segmentation. Our methodology has also been evaluated against a recent state-of-the-art algorithm for semi-supervised learning, obtaining generally comparable or better results.

Published
2011

5. Evaluation of Unsupervised Segmentation Algorithms for Silhouette Extraction in Human Action Video Sequences

Author

G. Salgues, Sergio A. Velastin, and Adolfo Martínez-Usó

Subjects
High contrast, Computer science, business.industry, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, Unsupervised segmentation, Video sequence, Pattern recognition, Silhouette, Action (philosophy), Image segmentation algorithm, Segmentation, Computer vision, Artificial intelligence, business, Algorithm
Abstract

The main motivation of this work is to find and evaluate solutions for generating binary masks (silhouettes) of foreground targets in an automatic way. To this end, four renowned unsupervised image segmentation algorithms are applied to foreground segmentation. A comparison among these algorithms is carried out using the MuHAVi dataset of multi-camera human action video sequences. This dataset presents significant challenges in terms of harsh illumination resulting for example in high contrast and deep shadows. The segmentation results have been objectively evaluated against manually derived ground-truth silhouettes.

Published
2011

6. Semi-supervised Probabilistic Relaxation for Image Segmentation

Author

Henry Anaya-Sánchez, Filiberto Pla, Adolfo Martínez-Usó, and José Martínez Sotoca

Subjects
business.industry, Segmentation-based object categorization, Small number, Probabilistic logic, Scale-space segmentation, Pattern recognition, Image segmentation, Relaxation theory, Machine learning, computer.software_genre, Contextual information, Relaxation (approximation), Artificial intelligence, business, computer, Mathematics
Abstract

In this paper, a semi-supervised approach based on probabilistic relaxation theory is presented. Focused on image segmentation, the presented technique combines two desirable properties; a very small number of labelled samples is needed and the assignment of labels is consistently performed according to our contextual information constraints. Our proposal has been tested on medical images from a dermatology application with quite promising preliminary results. Not only the unsupervised accuracies have been improved as expected but similar accuracies to other semi-supervised approach have been obtained using a considerably reduced number of labelled samples. Results have been also compared with other powerful and well-known unsupervised image segmentation techniques, improving significantly their results.

Published
2011

7. From Narrow to Broad Band Design and Selection in Hyperspectral Images

Author

Adolfo Martínez-Usó, Filiberto Pla, José Martínez Sotoca, and Pedro García-Sevilla

Subjects
business.industry, Broad band, Hyperspectral imaging, Pattern recognition, Mutual information, Signal, Image (mathematics), Band selection, Computer vision, Artificial intelligence, business, Relevant information, Selection (genetic algorithm), Mathematics
Abstract

Selecting the most relevant bands from a hyperspectral image would considerably reduce the amount of data without practically losing relevant information. In addition, if some physical and signal criteria of this selection are taken into account, the obtained results grouping consecutive bands would be useful to design new filters for hyperspectral cameras in order to improve the efficiency of these devices. Starting from certain number of pre-selected bands, intervals of spectrally adjacent instances to these initial bands are considered for calculating new broader bands. Results will show how a weighted average on these intervals can keep, or even improve, the performance respecting to a narrower selection, avoiding, at the same time, common drawbacks from the narrow-band acquisition devices.

Published
2008

8. Comparison of Unsupervised Band Selection Methods for Hyperspectral Imaging

Author

Adolfo Martínez-Usó, José Martínez Sotoca, Filiberto Pla, and Pedro García-Sevilla

Subjects
Set (abstract data type), Cover (telecommunications), business.industry, Band selection, Computer science, init, Hyperspectral imaging, Pattern recognition, Artificial intelligence, Pixel classification, business, Field (computer science)
Abstract

Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the methods proposed for band selection. A relevant and recent set of methods have been selected that cover the main tendencies in this field. Moreover, a variant of an existing method is also introduced in this work. The comparison criterion used is based on pixel classification tasks.

Published
2007

9. Unsupervised Image Segmentation Using a Hierarchical Clustering Selection Process

Author

Filiberto Pla, Adolfo Martínez-Usó, and Pedro García-Sevilla

Subjects
Active contour model, Fuzzy clustering, Brown clustering, Computer science, business.industry, Correlation clustering, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Conceptual clustering, Pattern recognition, Image segmentation, Hierarchical clustering, CURE data clustering algorithm, Computer Science::Computer Vision and Pattern Recognition, Canopy clustering algorithm, Unsupervised learning, Artificial intelligence, Hierarchical clustering of networks, Cluster analysis, business
Abstract

In this paper we present an unsupervised algorithm to select the most adequate grouping of regions in an image using a hierarchical clustering scheme. Then, we introduce an optimisation approach for the whole process. The grouping method presented is based on the maximisation of a measure that represents the perceptual decision. The whole strategy takes profit from a hierarchical clustering to find a maximum of the proposed criterion. The algorithm has been used to segment real images as well as multispectral images achieving very accurate results on this task.

Published
2006

10. Automatic Band Selection in Multispectral Images Using Mutual Information-Based Clustering

Author

José Martínez Sotoca, Filiberto Pla, Pedro García-Sevilla, and Adolfo Martínez-Usó

Subjects
Computer science, business.industry, Dimensionality reduction, Multispectral image, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Feature selection, Pattern recognition, Image processing, Mutual information, Hierarchical clustering, Multispectral pattern recognition, ComputingMethodologies_PATTERNRECOGNITION, Computer Science::Computer Vision and Pattern Recognition, Pattern recognition (psychology), Artificial intelligence, business, Cluster analysis
Abstract

Feature selection and dimensionality reduction are crucial research fields in pattern recognition. This work presents the application of a novel technique on dimensionality reduction to deal with multispectral images. A distance based on mutual information is used to construct a hierarchical clustering structure with the multispectral bands. Moreover, a criterion function is used to choose automatically the number of final clusters. Experimental results show that the method provides a very suitable subset of multispectral bands for pixel classification purposes.

Published
2006

11. A Quadtree-Based Unsupervised Segmentation Algorithm for Fruit Visual Inspection

Author

Adolfo Martínez Usó

Subjects
Computer science, Segmentation-based object categorization, business.industry, Multiresolution analysis, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, Scale-space segmentation, Image segmentation, Visual inspection, Quadtree, Unsupervised learning, Computer vision, Segmentation, Artificial intelligence, business, Algorithm
Abstract

Many segmentation techniques are available in the literature and some of them have been widely used in different application problems. Most of these segmentation techniques were motivated by specific application purposes. In this article we present the preliminary results of an unsupervised segmentation algorithm through a multiresolution method using color information for fruit inspection tasks. The use of a Quadtree structure simplifies the combination of a multiresolution approach with the chosen strategy for the segmentation process and speeds up the whole procedure. The algorithm has been tested in fruit images in order to segment the different zones of the fruit surface. Due to the unsupervised nature of the procedure, it can adapt to the huge variability of color and shape of regions in fruit inspection applications.

Published
2003

12. Entamoeba Histolytica: Activation and Release of Membrane Dense Bodies

Author

Isaura Meza, Adolfo Martínez-Palomo, Marcos Rojkind, José Luis Rosales-Encina, Bibiana Chavez, María de Lourdes Muñoz, and Arturo González-Robles

Subjects
Entamoeba histolytica, Cytolysis, Membrane, Human disease, biology, Chemistry, parasitic diseases, Parasite hosting, Tissue invasion, biology.organism_classification, Close contact, Protozoan parasite, Microbiology
Abstract

The protozoan parasite Entamoeba histolytica is the etiological agent of invasive amebiasis, a common human disease in certain developing countries. The requirement of close contact between the parasite and target cells for cytolysis to occur (Ravdin & Guerrant 1981; Martinez-Palomo, 1982) and the isolation of amebic proteins capable of forming aqueous pores upon their insertion into the plasma membrane of target eukaryotic cells (Lynch et al. 1982; Young et al. 1982) suggest that membrane interactions have an important role in the powerful cytolytic activity of pathogenic amebas. Tissue invasion may be facilitated by the collagenolytic and proteolytic activities described in this protozoan (Munoz et al. 1982; Gadasi & Kessler 1983; Keene et al. 1986).

Published
1987

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