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Un caso excepcional" ] ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:8 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 2156 "Ancho" => 3008 "Tamanyo" => 534225 ] ] "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at0005" "detalle" => "Fig. " "rol" => "short" ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">A and B: Abdominal CT 1A: Enlarged gallbladder (asterisk) containing lithiasis (arrow) and free gas in the wall of the gallbladder (circled), indicative of emphysematous cholecystitis. 1B: Pouch of Douglas containing free fluid (asterisk) and lithiasis (arrow), showing bilioperitoneum. C and D: Chest CT. 1C: Upper chest slices; mediastinal collection containing air (asterisk); esophagus (circled); bilateral pleural effusion (arrows). 1D: Thoracoabdominal sections; diaphragmatic domes (arrow); retroperitoneal air (circled) progressing to the chest.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Carmen Sánchez-Matás, Teresa Aldabó-Pallas, Inmaculada Palacios-García, Mercedes Jiménez-Sánchez" "autores" => array:4 [ 0 => array:2 [ "nombre" => "Carmen" "apellidos" => "Sánchez-Matás" ] 1 => array:2 [ "nombre" => "Teresa" "apellidos" => "Aldabó-Pallas" ] 2 => array:2 [ "nombre" => "Inmaculada" "apellidos" => "Palacios-García" ] 3 => array:2 [ "nombre" => "Mercedes" "apellidos" => "Jiménez-Sánchez" ] ] ] ] ] "idiomaDefecto" => "en" "Traduccion" => array:1 [ "es" => array:9 [ "pii" => "S0300289621000612" "doi" => "10.1016/j.arbres.2021.02.004" "estado" => "S300" "subdocumento" => "" "abierto" => array:3 [ "ES" => true "ES2" => true "LATM" => true ] "gratuito" => true "lecturas" => array:1 [ "total" => 0 ] "idiomaDefecto" => "es" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S0300289621000612?idApp=UINPBA00003Z" ] ] "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S1579212921003815?idApp=UINPBA00003Z" "url" => "/15792129/0000005700000012/v3_202201080532/S1579212921003815/v3_202201080532/en/main.assets" ] "itemAnterior" => array:18 [ "pii" => "S157921292100402X" "issn" => "15792129" "doi" => "10.1016/j.arbr.2020.10.017" "estado" => "S300" "fechaPublicacion" => "2021-12-01" "aid" => "2665" "copyright" => "SEPAR" "documento" => "simple-article" "crossmark" => 1 "subdocumento" => "crp" "cita" => "Arch Bronconeumol. 2021;57:776-8" "abierto" => array:3 [ "ES" => false "ES2" => false "LATM" => false ] "gratuito" => false "lecturas" => array:1 [ "total" => 0 ] "en" => array:11 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Scientific Letter</span>" "titulo" => "Sleep Duration and Cutaneous Melanoma Aggressiveness. A Prospective Observational Study in 443 Patients" "tienePdf" => "en" "tieneTextoCompleto" => "en" "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "776" "paginaFinal" => "778" ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Duración del sueño y agresividad del melanoma cutáneo. Un estudio observacional prospectivo con 443 pacientes" ] ] "contieneTextoCompleto" => array:1 [ "en" => true ] "contienePdf" => array:1 [ "en" => true ] "resumenGrafico" => array:2 [ "original" => 0 "multimedia" => array:7 [ "identificador" => "fig0005" "etiqueta" => "Fig. 1" "tipo" => "MULTIMEDIAFIGURA" "mostrarFloat" => true "mostrarDisplay" => false "figura" => array:1 [ 0 => array:4 [ "imagen" => "gr1.jpeg" "Alto" => 1273 "Ancho" => 2508 "Tamanyo" => 204935 ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Relationship between sleep duration and commonly used clinical markers of tumor aggressiveness in cutaneous melanoma. <span class="elsevierStyleItalic">p</span> values refer to sleep duration<span class="elsevierStyleHsp" style=""></span>><span class="elsevierStyleHsp" style=""></span>8<span class="elsevierStyleHsp" style=""></span>h versus control group (sleep duration between 6 and 8<span class="elsevierStyleHsp" style=""></span>h). Results were adjusted for age, sex, apnea-hypopnea index, body mass index, presence of insomnia and intake of hypnotics. SL: Short sleep; LS: Long Sleep.</p>" ] ] ] "autores" => array:1 [ 0 => array:2 [ "autoresLista" => "Jose Daniel Gómez Olivas, Francisco Campos-Rodriguez, Eduardo Nagore, Luis Hernández, Valentin Cabriada, Jorge Abad, Olga Mediano, Esther Pastor, Eusebi Chiner, Manuel Sanchez de la Torre, Irene Cano, Maria Somoza, Alberto Garcia-Ortega, Grace Oscullo, Miguel Angel Martinez-García" "autores" => array:15 [ 0 => array:2 [ "nombre" => "Jose Daniel" "apellidos" => "Gómez Olivas" ] 1 => array:2 [ "nombre" => "Francisco" "apellidos" => "Campos-Rodriguez" ] 2 => array:2 [ "nombre" => "Eduardo" "apellidos" => "Nagore" ] 3 => array:2 [ "nombre" => "Luis" "apellidos" => "Hernández" ] 4 => array:2 [ "nombre" => "Valentin" "apellidos" => "Cabriada" ] 5 => array:2 [ "nombre" => "Jorge" "apellidos" => "Abad" ] 6 => array:2 [ "nombre" => "Olga" "apellidos" => "Mediano" ] 7 => array:2 [ "nombre" => "Esther" "apellidos" => "Pastor" ] 8 => array:2 [ "nombre" => "Eusebi" "apellidos" => "Chiner" ] 9 => array:2 [ "nombre" => "Manuel Sanchez" "apellidos" => "de la Torre" ] 10 => array:2 [ "nombre" => "Irene" "apellidos" => "Cano" ] 11 => array:2 [ "nombre" => "Maria" "apellidos" => "Somoza" ] 12 => array:2 [ "nombre" => "Alberto" "apellidos" => "Garcia-Ortega" ] 13 => array:2 [ "nombre" => "Grace" "apellidos" => "Oscullo" ] 14 => array:2 [ "nombre" => "Miguel Angel" "apellidos" => "Martinez-García" ] ] ] ] ] "idiomaDefecto" => "en" "EPUB" => "https://multimedia.elsevier.es/PublicationsMultimediaV1/item/epub/S157921292100402X?idApp=UINPBA00003Z" "url" => "/15792129/0000005700000012/v3_202201080532/S157921292100402X/v3_202201080532/en/main.assets" ] "en" => array:14 [ "idiomaDefecto" => true "cabecera" => "<span class="elsevierStyleTextfn">Scientific Letter</span>" "titulo" => "Comparing Probe-Based Confocal Laser Endomicroscopy With Histology. Are We Looking at the Same Picture?" "tieneTextoCompleto" => true "saludo" => "Dear Editor," "paginas" => array:1 [ 0 => array:2 [ "paginaInicial" => "778" "paginaFinal" => "780" ] ] "autores" => array:1 [ 0 => array:4 [ "autoresLista" => "Marta Diez-Ferrer, Benjamin Torrejon-Escribano, Nuria Baixeras, Cristian Tebe, Noelia Cubero, Rosa Lopez-Lisbona, Jordi Dorca, Antoni Rosell" "autores" => array:8 [ 0 => array:4 [ "nombre" => "Marta" "apellidos" => "Diez-Ferrer" "email" => array:1 [ 0 => "marta.diez@bellvitgehospital.cat" ] "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">*</span>" "identificador" => "cor0005" ] ] ] 1 => array:3 [ "nombre" => "Benjamin" "apellidos" => "Torrejon-Escribano" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">b</span>" "identificador" => "aff0010" ] ] ] 2 => array:3 [ "nombre" => "Nuria" "apellidos" => "Baixeras" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">c</span>" "identificador" => "aff0015" ] ] ] 3 => array:3 [ "nombre" => "Cristian" "apellidos" => "Tebe" "referencia" => array:2 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">d</span>" "identificador" => "aff0020" ] 1 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">e</span>" "identificador" => "aff0025" ] ] ] 4 => array:3 [ "nombre" => "Noelia" "apellidos" => "Cubero" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 5 => array:3 [ "nombre" => "Rosa" "apellidos" => "Lopez-Lisbona" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 6 => array:3 [ "nombre" => "Jordi" "apellidos" => "Dorca" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">a</span>" "identificador" => "aff0005" ] ] ] 7 => array:3 [ "nombre" => "Antoni" "apellidos" => "Rosell" "referencia" => array:1 [ 0 => array:2 [ "etiqueta" => "<span class="elsevierStyleSup">f</span>" "identificador" => "aff0030" ] ] ] ] "afiliaciones" => array:6 [ 0 => array:3 [ "entidad" => "Department of Respiratory Medicine, Hospital de Bellvitge-IDIBELL-University of Barcelona, Barcelona, Spain" "etiqueta" => "a" "identificador" => "aff0005" ] 1 => array:3 [ "entidad" => "Unit of Advanced Optical Microscopy, Scientific and Technological Centers (CCiTUB) University of Barcelona, L’Hospitalet de Llobregat, Barcelona, Spain" "etiqueta" => "b" "identificador" => "aff0010" ] 2 => array:3 [ "entidad" => "Department of Pathology, Hospital de Bellvitge-IDIBELL-University of Barcelona, Barcelona, Spain" "etiqueta" => "c" "identificador" => "aff0015" ] 3 => array:3 [ "entidad" => "Biostatistics Unit, Bellvitge Biomedical Research Institute (IDIBELL). L’Hospitalet de Llobregat, Barcelona, Spain" "etiqueta" => "d" "identificador" => "aff0020" ] 4 => array:3 [ "entidad" => "Department of Basic Medical Sciences, Universitat Rovira i Virgili, Reus, Tarragona, Spain" "etiqueta" => "e" "identificador" => "aff0025" ] 5 => array:3 [ "entidad" => "Thorax Institute, Hospital Germans Trias i Pujol-IGTP-UAB, Badalona, Barcelona, Spain" "etiqueta" => "f" "identificador" => "aff0030" ] ] "correspondencia" => array:1 [ 0 => array:3 [ "identificador" => "cor0005" "etiqueta" => "⁎" "correspondencia" => "Corresponding author." ] ] ] ] "titulosAlternativos" => array:1 [ "es" => array:1 [ "titulo" => "Comparando endomicroscopía confocal con histología. ¿Estamos mirando la misma imagen?" ] ] "textoCompleto" => "<span class="elsevierStyleSections"><p id="par0005" class="elsevierStylePara elsevierViewall">Probe-based confocal laser endomicroscopy (pCLE) provides real-time vision of respiratory tissues at the cellular level through a flexible bronchoscope. This technique might guide sampling of pulmonary nodules,<a class="elsevierStyleCrossRefs" href="#bib0075"><span class="elsevierStyleSup">1–4</span></a> lymph nodes<a class="elsevierStyleCrossRef" href="#bib0095"><span class="elsevierStyleSup">5</span></a> or pleural biopsies.<a class="elsevierStyleCrossRef" href="#bib0100"><span class="elsevierStyleSup">6</span></a> First studies of the respiratory tract were performed with a 488<span class="elsevierStyleHsp" style=""></span>nm wavelength probe that allows elastin visualization without adding fluorophores in the tissue. Because cells are not visualized, lung cancer pattern descriptions were limited to changes on the stromal component.<a class="elsevierStyleCrossRefs" href="#bib0075"><span class="elsevierStyleSup">1,7–9</span></a> Later studies used fluorophores like methylene blue or fluorescein that could be excited at a 488 or a 660<span class="elsevierStyleHsp" style=""></span>nm wavelength, respectively, to visualize cell nuclei.<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">2,4,10</span></a> In these studies, different imaging patterns were described. In particular, healthy tissue was described as having homogeneous architecture with bright, partially overlapping nuclei. Inflammation was considered when heterogeneous tissue architecture without overlapping nuclei but expanded cytoplasms were observed, and neoplasia was reported as a chaotic distribution of dark cells with heterogeneous nuclei.<a class="elsevierStyleCrossRefs" href="#bib0080"><span class="elsevierStyleSup">2,8,9,11,12</span></a> Although pictures of these patterns were frequently presented together with pictures of histology samples, none of the studies correlated the measurements performed in pCLE images to those of histology samples. In this pilot study, we aimed to explore the feasibility of correlating pCLE and optical microscopy features of normal and pathological airway samples.</p><p id="par0010" class="elsevierStylePara elsevierViewall">Under general anesthesia and orotracheal intubation with a rigid bronchoscope (Efer-Dumon type, La Ciotat, France) pCLE was performed after applying a drop of 1% MB in nine regions of normal mucosa and in six tumors, as determined with white-light bronchoscopy. The AlveoFlex® probe and a laser scanning unit equipped with 660<span class="elsevierStyleHsp" style=""></span>nm laser wavelength (Cellvizio®, Mauna Kea Technologies, Paris, France) were used. After pCLE image registration, biopsies were taken and histology was studied with optical microscopy following haematoxylin-eosin (H&E) staining. A total of 15 patients were studied. The biopsies revealed normal epithelium in 6 cases, inflammatory infiltrate in 3 cases and thoracic tumors in 6 cases, which included B cell lymphoma, adenocarcinoma, squamous cell carcinoma, small cell lung cancer, and non-small cell lung cancer. The study was approved by the local ethics review board (Clinical Research Ethics Committee of Bellvitge University Hospital – Act 08/13) and written informed consent was obtained from all participants.</p><p id="par0015" class="elsevierStylePara elsevierViewall">One representative image from the pCLE registration was selected and compared to one image of the H&E-stained sample. Nuclei were segmented in all images using ImageJ software (National Institutes of Health, Bethesda, MD, USA).<a class="elsevierStyleCrossRef" href="#bib0135"><span class="elsevierStyleSup">13</span></a> In the pCLE images, we accounted for the number and mean size of nuclei, the relative area occupied by nuclei and the intensity of fluorescence. In the H&E-stained histological sample images, we accounted for the number and mean size of nuclei and the relative area occupied by nuclei. We chose these features because these structures can be identified both in the optical and the pCLE images.</p><p id="par0020" class="elsevierStylePara elsevierViewall">We made two different comparisons. First, we compared the patterns of pCLE alone. A logistic regression model was fitted to predict the probability of pathological tissue (inflammation or malignancy) based on every feature. We observed that changes in these features were associated with variations in the probability of disease. In particular, we observed that the odds of disease increased by a factor of 1.03 (95% CI: 0.99–1.07) for every one unit increase in the mean size of nuclei, by a factor of 1 (95% CI: 1–1) for every one unit increase in the intensity of fluorescence, and by a factor of 1.088 (95% CI: 1.01–1.224) for every one unit increase in the relative area occupied by nuclei. Next, we registered the measurements performed in the optical microscopy and pCLE images (see <a class="elsevierStyleCrossRef" href="#tbl0005">Table 1</a>) and compared their distributions. After a Wilcoxon rank sum exact test we observed that the distributions of the mean size and relative area occupied by nuclei were different in the images of optical compared to pCLE microscopy. Although this small analysis is not adequately powered to achieve statistical significance, our results of the pCLE alone patterns are in line with the previously mentioned studies showing that it is possible to discern between normal and pathological tissue patterns, while the measurements performed in the optical microscopy and pCLE images cannot be correlated to the tissue structures observed in the biopsy specimens.</p><elsevierMultimedia ident="tbl0005"></elsevierMultimedia><p id="par0025" class="elsevierStylePara elsevierViewall">Our pilot study supports the use of pCLE to identify patterns of normal and pathological airway tissue but discourages comparisons between pCLE and histology images. These findings might reflect that the final histology diagnosis is based on a set of information not obtainable from a sequence of nuclei as it is observed in pCLE images. To empower pCLE as a useful tool for diagnosis of lung cancer, future studies should focus on identifying further discriminative features<a class="elsevierStyleCrossRef" href="#bib0140"><span class="elsevierStyleSup">14</span></a> or specific tumor markers. Otherwise, this technique will be limited to the identification of pathological areas for biopsy guidance.</p><span id="sec0005" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0005">Authors’ Contributions</span><p id="par0030" class="elsevierStylePara elsevierViewall">M.D-F, B.T. and A.R. generated the hypothesis; M.D-F., B.T. and N.B. designed the study; M.D-F., B.T, N.B, N.C, R.L., J.D and A.R contributed to data acquisition. C.T. performed the statistical analysis, and M.D-F. wrote the manuscript. All members of the study critically reviewed the submitted article for important intellectual content, provided final approval of the version to be published, and agreed to be accountable for all aspects of the work and to ensure that any questions related to the accuracy or integrity of any part of the work will be appropriately investigated and resolved.</p></span><span id="sec0010" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0010">Funding</span><p id="par0035" class="elsevierStylePara elsevierViewall">This work was supported by grants from <span class="elsevierStyleGrantSponsor" id="gs1">Fundació La Marató de TV3</span>, <span class="elsevierStyleGrantSponsor" id="gs2">SEPAR 2018</span>, <span class="elsevierStyleGrantSponsor" id="gs3">FUCAP-Albert Agustí and SOCAP</span>.</p></span><span id="sec0015" class="elsevierStyleSection elsevierViewall"><span class="elsevierStyleSectionTitle" id="sect0015">Conflict of Interest</span><p id="par0040" class="elsevierStylePara elsevierViewall">All authors of this manuscript report that no potential conflicts of interest exist with any companies/organizations whose products or services may be discussed in this article.</p></span></span>" "textoCompletoSecciones" => array:1 [ "secciones" => array:4 [ 0 => array:2 [ "identificador" => "sec0005" "titulo" => "Authors’ Contributions" ] 1 => array:2 [ "identificador" => "sec0010" "titulo" => "Funding" ] 2 => array:2 [ "identificador" => "sec0015" "titulo" => "Conflict of Interest" ] 3 => array:1 [ "titulo" => "References" ] ] ] "pdfFichero" => "main.pdf" "tienePdf" => true "multimedia" => array:1 [ 0 => array:8 [ "identificador" => "tbl0005" "etiqueta" => "Table 1" "tipo" => "MULTIMEDIATABLA" "mostrarFloat" => true "mostrarDisplay" => false "detalles" => array:1 [ 0 => array:3 [ "identificador" => "at1" "detalle" => "Table " "rol" => "short" ] ] "tabla" => array:2 [ "leyenda" => "<p id="spar0010" class="elsevierStyleSimplePara elsevierViewall">Pathological refers to inflammation or malignancy.</p><p id="spar0015" class="elsevierStyleSimplePara elsevierViewall">H&E: haematoxylin–eosin, SD: standard deviation.</p>" "tablatextoimagen" => array:1 [ 0 => array:2 [ "tabla" => array:1 [ 0 => """ <table border="0" frame="\n \t\t\t\t\tvoid\n \t\t\t\t" class=""><thead title="thead"><tr title="table-row"><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"> \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Final Diagnosis \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Optical Microscopy (H&E Stain, 40× Magnification) \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black">Probe-based Confocal Laser Endomicrosocopy \t\t\t\t\t\t\n \t\t\t\t\t\t</th><th class="td" title="\n \t\t\t\t\ttable-head\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t" scope="col" style="border-bottom: 2px solid black"><span class="elsevierStyleItalic">P</span>-Value \t\t\t\t\t\t\n \t\t\t\t\t\t</th></tr></thead><tbody title="tbody"><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Number of nucleiMean (SD)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Normal (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">28.8 (5.78) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">35.3 (4.13) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.1025 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Pathological (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">33.8 (16.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">27.8 (16.6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t">.8946 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Mean size of nuclei (μm<span class="elsevierStyleSup">2</span>)Median [Q1;Q3]</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Normal (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">103 [90.8;129] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">36.5 [31.7;40.9] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Pathological (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">127 [114;155] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">29.5 [27.9;59.0] \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " rowspan="2" align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Relative area occupied by nuclei (μm<span class="elsevierStyleSup">2</span>)Mean (SD)</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Normal (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>6) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">60.6 (18.2) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">26.5 (10.8) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr><tr title="table-row"><td class="td-with-role" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t ; entry_with_role_rowhead " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">Pathological (<span class="elsevierStyleItalic">n</span><span class="elsevierStyleHsp" style=""></span>=<span class="elsevierStyleHsp" style=""></span>9) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">80.1 (13.4) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="left" valign="\n \t\t\t\t\ttop\n \t\t\t\t">38.9 (14.3) \t\t\t\t\t\t\n \t\t\t\t</td><td class="td" title="\n \t\t\t\t\ttable-entry\n \t\t\t\t " align="char" valign="\n \t\t\t\t\ttop\n \t\t\t\t"><.05 \t\t\t\t\t\t\n \t\t\t\t</td></tr></tbody></table> """ ] "imagenFichero" => array:1 [ 0 => "xTab2798307.png" ] ] ] ] "descripcion" => array:1 [ "en" => "<p id="spar0005" class="elsevierStyleSimplePara elsevierViewall">Measurements Performed in the Histological Samples (Optical Microscopy) and pCLE Images.</p>" ] ] ] "bibliografia" => array:2 [ "titulo" => "References" "seccion" => array:1 [ 0 => array:2 [ "identificador" => "bibs0015" "bibliografiaReferencia" => array:14 [ 0 => array:3 [ "identificador" => "bib0075" "etiqueta" => "1" "referencia" => array:1 [ 0 => array:2 [ "contribucion" => array:1 [ 0 => array:2 [ "titulo" => "Comparison of in vivo probe-based confocal laser endomicroscopy with histopathology in lung cancer: a move toward optical biopsy" "autores" => array:1 [ 0 => array:2 [ "etal" => false "autores" => array:6 [ 0 => "A.S. 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Year/Month | Html | Total | |
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2024 November | 10 | 4 | 14 |
2024 October | 46 | 28 | 74 |
2024 September | 54 | 18 | 72 |
2024 August | 99 | 30 | 129 |
2024 July | 110 | 25 | 135 |
2024 June | 69 | 23 | 92 |
2024 May | 67 | 21 | 88 |
2024 April | 40 | 27 | 67 |
2024 March | 53 | 16 | 69 |
2024 February | 37 | 24 | 61 |
2024 January | 46 | 30 | 76 |
2023 December | 21 | 18 | 39 |
2023 November | 36 | 20 | 56 |
2023 October | 59 | 43 | 102 |
2023 September | 29 | 31 | 60 |
2023 August | 34 | 29 | 63 |
2023 July | 41 | 19 | 60 |
2023 June | 42 | 13 | 55 |
2023 May | 26 | 25 | 51 |
2023 April | 30 | 32 | 62 |
2023 March | 36 | 17 | 53 |
2023 February | 29 | 20 | 49 |
2023 January | 25 | 26 | 51 |
2022 December | 48 | 31 | 79 |
2022 November | 40 | 26 | 66 |
2022 October | 51 | 37 | 88 |
2022 September | 23 | 32 | 55 |
2022 August | 29 | 44 | 73 |
2022 July | 28 | 46 | 74 |
2022 June | 30 | 43 | 73 |
2022 May | 23 | 31 | 54 |
2022 April | 30 | 28 | 58 |
2022 March | 35 | 48 | 83 |
2022 February | 25 | 28 | 53 |
2022 January | 74 | 53 | 127 |