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Importance of complementary data to histopathological image analysis of oral leukoplakia and carcinoma using deep neural networks

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Intelligent Medicine 2023年第4期3卷 258-266页

作者： Leandro Muniz de lima Maria Clara Falcão Ribeiro de Assis Júlia Pessini Soares Tânia Regina Grão-Velloso Liliana Aparecida Pimenta de Barros Danielle Resende Camisasca Renato Antonio Krohling Nature-inspired Computing Lab Federal University of Espirito SantoVitoriaBrazil Graduate Program in Computer Science Federal University of Espirito SantoVitoriaBrazil School of dentistry Departamento de Clinica OdontologicaFederal University of Espirito SantoVitoriaBrazil Graduate Program in Clinical dentistry Federal University of Espirito SantoVitoriaBrazil

Background Oral cancer is one of the most common types of cancer in men causing mortality if not *** recent years,computer-aided diagnosis(CAD)using artificial intelligence techniques,in particular,deepneural networks have been investigated and several approaches have been proposed to deal with the automateddetection of various pathologies using digital *** studies indicate that the fusion of images with thepatient’s clinical information is important for the final clinical *** such dataset does not yet exist fororal cancer,as far as the authors are aware,a new dataset was collected consisting of histopathological images,demographic and clinical *** study evaluated the importance of complementary data to histopathologicalimage analysis of oral leukoplakia and carcinoma for *** A new dataset(NDB-UFES)was collected from 2011 to 2021 consisting of histopathological imagesand *** 237 samples were curated and analyzed by oral pathologists generating the gold standardfor ***-of-the-art image fusion architectures and complementary data(Concatenation,MutualAttention,MetaBlock and MetaNet)using the latest deep learning backbones were investigated for 4 distincttasks to identify oral squamous cell carcinoma,leukoplakia with dysplasia and leukoplakia without *** evaluate them using balanced accuracy,precision,recall and area under the roc curve *** Experimental results indicate that the best models present balanced accuracy of 83.24%using images,demographic and clinical information with MetaBlock fusion and ResNetV2 *** represents an improvement in performance of 30.68%(19.54 pp)in the task to differentiate samples diagnosed with oral squamous cellcarcinoma and leukoplakia with or without *** This study indicates that cured demographic and clinical data may positively influence the performance of artificial intelligence models in automated classification of

关键词： Leukoplakia Squamous carcinoma Pathology deep learning Transfer learning

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Usefulness of serum C-reactive protein and calprotectin for the early detection of colorectal anastomotic leakage:A prospective observational study

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World Journal of Gastroenterology 2022年第24期28卷 2758-2774页

作者： Nuno J G Rama Marlene C C Lages Maria Pedro S Guarino Óscar Lourenço Patrícia C Motta lima Diana Parente Cândida S G Silva Ricardo Castro Ana Bento Anabela roc.a Fernando Castro-Pocas João Pimente Colorectal Surgical Division Leiria Hospital CentreLeiria 2410-021Portugal Abel Salazar Biomedical Institute(ICBAS) University of OportoOporto 4099-002Portugal Center for Innovative Care and Health Technology(ciTechCare) Polytechnic of LeiriaLeiria 2410-541Portugal Faculty of Economics CeBERUniversity of CoimbraCoimbra 3000-137Portugal Clinical Pathology Division Leiria Hospital CentreLeiria 2410-541Portugal Surgical Division Oporto Hospital CentreOporto 4099-001Portugal department of Gastroenterology Santo António HospitalPorto Hospital CenterPorto 4099-001Portugal Institute of Biomedical Sciences Abel Salazar University of PortoPorto 4099-001Portugal Faculty of Medicine University of CoimbraCoimbra 3004-531Portugal Surgical Division Montes Claros HospitalCoimbra 3030-320Portugal

BACKGROUND Colorectal anastomotic leakage(CAL)is one of the most dreaded complications after colorectal surgery,with an incidence that can be as high as 27%.This event is associated with increased morbidity and mortality;therefore,its early diagnosis is crucial to reduce clinical consequences and *** biomarkers have been suggested as laboratory tools for the diagnosis of *** To assess the usefulness of plasma C-reactive protein(CRP)and calprotectin(CLP)as early predictors of *** A prospective monocentric observational study was conducted including patients who underwent colorectal resection with anastomosis,from March 2017 to August *** were divided into three groups:G1–no complications;G2–complications not related to CAL;and G3–*** biomarkers were measured and analyzed in the first 5 postoperative days(PODs),namely white blood cell(WBC)count,eosinophil cell count(ECC),CRP,CLP,and procalcitonin(PCT).Clinical criteria,such as abdominal pain and clinical condition,were also *** correlation between biomarkers and CAL was *** operating characteristic(roc)curve analysis was used to compare the accuracy of these biomarkers as predictors of CAL,and the area under the roc curve(AUroc),specificity,sensitivity,positive predictive value,and negative predictive value(NPV)during this period were *** In total,25 of 396 patients developed CAL(6.3%),and the mean time for this diagnosis was 9.0±6.8 *** operative characteristics,such as surgical approach,blood loss,intraoperative complications,and duration of the procedure,were notably related to the development of *** length of hospital stay was markedly higher in the group that developed CAL compared with the group with complications other than CAL and the group with no complications(median of 21 d vs 13 d and 7 d respectively;Proc of 0.84 on ***

关键词： Anastomotic leakage Colorectal Surgery Biomarkers C-reactive protein Calprotectin

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Thyroid Nodule: Alpha Score 2.0 Classification for FNAB Selection, Multicentric Study in Latin America

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Open Journal of Radiology 2021年第4期11卷 160-174页

作者： Glenn Mena Maria Cristina Chammas Carlos Mario Gonzalez Vasquez Lylian rocío Villagómez Marco Alfredo Muñoz Pico Patricio Alejandro Montalvo Santiago Mena-Bucheli Julio Olmedo Elizabeth Quintero Pedro Henrique de Marqui Moraes Osmar Cassio Saito Hubertino Diaz denise Romero Gabriela Velalcazar Angel Ramón Sosa Fleitas Yamil Oliver Quevedo Ontaneda Victor Ricardo Chara Alpha Imagen Radiología e Intervencionismo Quito Ecuador Hospital das Clínicas Faculdade de Medicina da Universidade de Sã o Paulo S&#227 o Paulo Brasil Hospital Pablo Tobón Uribe Medellin Colombia Hospital del Instituto Ecuatoriano de Seguridad Social Quito Sur Quito Ecuador Hospital San Francisco de Quito Quito Ecuador Hospital Edgardo Rebagliati Martins Lima Perú Hospital Carlos Andrade Marín Quito Ecuador Hospital de Clínicas San José de San Martín Buenos Aires Argentina Hospital Universitario de Los Andes Mérida Venezuela Hospital de la Policía Quito Ecuador Hospital Sisol Tacna Perú

Introduction: To perform a Latin-American multicentric study for the prediction of benign and malignant thyroid nodules using Alpha Score, and to compare it with ACR TIRADS® and Bethesda®. Materials and Methods: A prospective multicentric study in 10 radiological hospitals and institutions of Latin America was performed and 818 thyroid nodules were analyzed by ultrasound and classified by using both ACR TIRADS® and Alpha Score;fine-needle aspiration biopsy was performed when needed and classified with Bethesda. The relationships between predictors were analyzed by using binary logistic regression, statistical significance was defined by a p-value of 0.05, with an error margin of 4% and 95% confidence intervals. Results: Alpha Score 2.0 establishes five types of malignant predictors: microcalcifications, irregular borders, taller-than-wide shape, predominant solid texture and hypoechogenicity;a diameter equal to or greater than 1.5 cm adds an extra point to the final score. Resulting classification divides TNs into 4 categories: benign (1.9%), low suspicion (8.7%), mild suspicion (13.6%) and high suspicion (75.7%) of malignancy probability;sensitivity of 82%, specificity of 74%, the positive predictive value of 94%, the negative predictive value of 51%, the statistical accuracy of 81%, odds ratio of 108.89 and correlation with ACR TIRADS of 0.77 and Bethesda of 0.91. Conclusions: Alpha Score 2.0 has superior diagnostic accuracy and performance compared to the previously published Alpha Score and is able to classify a benign TN in a precise, safe and accurate way, avoiding unnecessary FNABs or determining the necessity of FNAB in cases of moderate to high suspicion of malignancy.

关键词： Thyroid Cancer-Clinical Radiology-Imaging Thyroid Nodule Alpha Score TIRADS® Thyroid Ultrasonography

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