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  1. Article: The Impact of Patient Experience on Loyalty in the Context of Medical-Aesthetic Health Services.

    Brandão, Amélia / Ribeiro, Liliana

    Journal of patient experience

    2023  Volume 10, Page(s) 23743735231160422

    Abstract: The purpose of this study was to determine the antecedents and consequences of patient experience in the context of medical-aesthetic health services. A quantitative study was conducted and data was collected through online surveys. Moreover, data were ... ...

    Abstract The purpose of this study was to determine the antecedents and consequences of patient experience in the context of medical-aesthetic health services. A quantitative study was conducted and data was collected through online surveys. Moreover, data were provided in the field via the administration of questionnaires to patients of medical clinics. The data were analyzed according to structural equation modeling procedures. The results showed that both the relational (communication and involvement) and functional (environment, tangibles, processes, outcomes, competence, monetary cost) dimensions of care have a direct and positive impact on customer experience (CE). This study shows the prevalence of the functional dimension when compared to the relational one, which more strongly influences a patient's CE. Moreover, CE positively impacts perceived quality, overall satisfaction, and loyalty behaviors.
    Language English
    Publishing date 2023-03-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2857285-3
    ISSN 2374-3743 ; 2374-3735
    ISSN (online) 2374-3743
    ISSN 2374-3735
    DOI 10.1177/23743735231160422
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Author Correction: An interpretable machine learning system for colorectal cancer diagnosis from pathology slides.

    Neto, Pedro C / Montezuma, Diana / Oliveira, Sara P / Oliveira, Domingos / Fraga, João / Monteiro, Ana / Monteiro, João / Ribeiro, Liliana / Gonçalves, Sofia / Reinhard, Stefan / Zlobec, Inti / Pinto, Isabel M / Cardoso, Jaime S

    NPJ precision oncology

    2024  Volume 8, Issue 1, Page(s) 83

    Language English
    Publishing date 2024-04-03
    Publishing country England
    Document type Published Erratum
    ISSN 2397-768X
    ISSN 2397-768X
    DOI 10.1038/s41698-024-00581-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: An interpretable machine learning system for colorectal cancer diagnosis from pathology slides.

    Neto, Pedro C / Montezuma, Diana / Oliveira, Sara P / Oliveira, Domingos / Fraga, João / Monteiro, Ana / Monteiro, João / Ribeiro, Liliana / Gonçalves, Sofia / Reinhard, Stefan / Zlobec, Inti / Pinto, Isabel M / Cardoso, Jaime S

    NPJ precision oncology

    2024  Volume 8, Issue 1, Page(s) 56

    Abstract: Considering the profound transformation affecting pathology practice, we aimed to develop a scalable artificial intelligence (AI) system to diagnose colorectal cancer from whole-slide images (WSI). For this, we propose a deep learning (DL) system that ... ...

    Abstract Considering the profound transformation affecting pathology practice, we aimed to develop a scalable artificial intelligence (AI) system to diagnose colorectal cancer from whole-slide images (WSI). For this, we propose a deep learning (DL) system that learns from weak labels, a sampling strategy that reduces the number of training samples by a factor of six without compromising performance, an approach to leverage a small subset of fully annotated samples, and a prototype with explainable predictions, active learning features and parallelisation. Noting some problems in the literature, this study is conducted with one of the largest WSI colorectal samples dataset with approximately 10,500 WSIs. Of these samples, 900 are testing samples. Furthermore, the robustness of the proposed method is assessed with two additional external datasets (TCGA and PAIP) and a dataset of samples collected directly from the proposed prototype. Our proposed method predicts, for the patch-based tiles, a class based on the severity of the dysplasia and uses that information to classify the whole slide. It is trained with an interpretable mixed-supervision scheme to leverage the domain knowledge introduced by pathologists through spatial annotations. The mixed-supervision scheme allowed for an intelligent sampling strategy effectively evaluated in several different scenarios without compromising the performance. On the internal dataset, the method shows an accuracy of 93.44% and a sensitivity between positive (low-grade and high-grade dysplasia) and non-neoplastic samples of 0.996. On the external test samples varied with TCGA being the most challenging dataset with an overall accuracy of 84.91% and a sensitivity of 0.996.
    Language English
    Publishing date 2024-03-05
    Publishing country England
    Document type Journal Article
    ISSN 2397-768X
    ISSN 2397-768X
    DOI 10.1038/s41698-024-00539-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Spontaneous Pulmonary Hematoma as a Complication of Anticoagulant Therapy.

    Ribeiro, Liliana / Silva, Joelma / Pinto, Cláudia Sofia

    Archivos de bronconeumologia

    2018  Volume 54, Issue 10, Page(s) 528–529

    MeSH term(s) Anticoagulants/adverse effects ; Hematoma/chemically induced ; Humans ; Lung Diseases/chemically induced ; Male ; Middle Aged ; Warfarin/adverse effects
    Chemical Substances Anticoagulants ; Warfarin (5Q7ZVV76EI)
    Language Spanish
    Publishing date 2018-03-22
    Document type Case Reports ; Letter
    ZDB-ID 733126-5
    ISSN 1579-2129 ; 0300-2896
    ISSN (online) 1579-2129
    ISSN 0300-2896
    DOI 10.1016/j.arbres.2018.02.010
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Angiolymphoid Hyperplasia With Eosinophilia of the Lung.

    Ribeiro, Liliana / Souto, Márcia / Loureiro, Ana

    Archivos de bronconeumologia

    2018  Volume 54, Issue 6, Page(s) 340–342

    MeSH term(s) Adult ; Angiolymphoid Hyperplasia with Eosinophilia/diagnostic imaging ; Angiolymphoid Hyperplasia with Eosinophilia/pathology ; Biopsy, Large-Core Needle ; Diagnosis, Differential ; Female ; Humans ; Multiple Pulmonary Nodules/diagnosis ; Tomography, X-Ray Computed
    Language Spanish
    Publishing date 2018-02-03
    Document type Case Reports ; Journal Article ; Review
    ZDB-ID 733126-5
    ISSN 1579-2129 ; 0300-2896
    ISSN (online) 1579-2129
    ISSN 0300-2896
    DOI 10.1016/j.arbres.2017.12.013
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Digital Pathology Implementation in Private Practice: Specific Challenges and Opportunities.

    Montezuma, Diana / Monteiro, Ana / Fraga, João / Ribeiro, Liliana / Gonçalves, Sofia / Tavares, André / Monteiro, João / Macedo-Pinto, Isabel

    Diagnostics (Basel, Switzerland)

    2022  Volume 12, Issue 2

    Abstract: Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory, addressing the main ... ...

    Abstract Digital pathology (DP) is being deployed in many pathology laboratories, but most reported experiences refer to public health facilities. In this paper, we report our experience in DP transition at a high-volume private laboratory, addressing the main challenges in DP implementation in a private practice setting and how to overcome these issues. We started our implementation in 2020 and we are currently scanning 100% of our histology cases. Pre-existing sample tracking infrastructure facilitated this process. We are currently using two high-capacity scanners (Aperio GT450DX) to digitize all histology slides at 40×. Aperio eSlide Manager WebViewer viewing software is bidirectionally linked with the laboratory information system. Scanning error rate, during the test phase, was 2.1% (errors detected by the scanners) and 3.5% (manual quality control). Pre-scanning phase optimizations and vendor feedback and collaboration were crucial to improve WSI quality and are ongoing processes. Regarding pathologists' validation, we followed the Royal College of Pathologists recommendations for DP implementation (adapted to our practice). Although private sector implementation of DP is not without its challenges, it will ultimately benefit from DP safety and quality-associated features. Furthermore, DP deployment lays the foundation for artificial intelligence tools integration, which will ultimately contribute to improving patient care.
    Language English
    Publishing date 2022-02-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2662336-5
    ISSN 2075-4418
    ISSN 2075-4418
    DOI 10.3390/diagnostics12020529
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: iMIL4PATH: A Semi-Supervised Interpretable Approach for Colorectal Whole-Slide Images.

    Neto, Pedro C / Oliveira, Sara P / Montezuma, Diana / Fraga, João / Monteiro, Ana / Ribeiro, Liliana / Gonçalves, Sofia / Pinto, Isabel M / Cardoso, Jaime S

    Cancers

    2022  Volume 14, Issue 10

    Abstract: Colorectal cancer (CRC) diagnosis is based on samples obtained from biopsies, assessed in pathology laboratories. Due to population growth and ageing, as well as better screening programs, the CRC incidence rate has been increasing, leading to a higher ... ...

    Abstract Colorectal cancer (CRC) diagnosis is based on samples obtained from biopsies, assessed in pathology laboratories. Due to population growth and ageing, as well as better screening programs, the CRC incidence rate has been increasing, leading to a higher workload for pathologists. In this sense, the application of AI for automatic CRC diagnosis, particularly on whole-slide images (WSI), is of utmost relevance, in order to assist professionals in case triage and case review. In this work, we propose an interpretable semi-supervised approach to detect lesions in colorectal biopsies with high sensitivity, based on multiple-instance learning and feature aggregation methods. The model was developed on an extended version of the recent, publicly available CRC dataset (the CRC+ dataset with 4433 WSI), using 3424 slides for training and 1009 slides for evaluation. The proposed method attained 90.19% classification ACC, 98.8% sensitivity, 85.7% specificity, and a quadratic weighted kappa of 0.888 at slide-based evaluation. Its generalisation capabilities are also studied on two publicly available external datasets.
    Language English
    Publishing date 2022-05-18
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2527080-1
    ISSN 2072-6694
    ISSN 2072-6694
    DOI 10.3390/cancers14102489
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: ASSESSMENT OF RISK FACTORS FOR SURGERY TREATMENT OF CROHN'S DISEASE: A HOSPITAL COHORT.

    Tajra, João Batista Monteiro / Calegaro, José Ulisses / Silva, Silvana Marques E / Silveira, Dannilo Brito / Ribeiro, Liliana Moscoso / Crispim, Stefane Mariano / Emerick, Matheus / Tajra, João Victor Ribeiro

    Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery

    2023  Volume 36, Page(s) e1730

    Abstract: Background: New therapies have revolutionized the treatment of Crohn's disease (CD), but in some countries, the surgery rate has not changed, the frequency of emergency surgery is underestimated, and surgical risk is poorly studied.: Aims: The aim of ...

    Abstract Background: New therapies have revolutionized the treatment of Crohn's disease (CD), but in some countries, the surgery rate has not changed, the frequency of emergency surgery is underestimated, and surgical risk is poorly studied.
    Aims: The aim of this study was to identify risk factors and clinical indications for primary surgery in CD patients at the tertiary hospital.
    Methods: This was a retrospective cohort of a prospectively collected database of 107 patients with CD from 2015 to 2021. The main outcomes were the incidence of surgery treatment, types of procedures performed, surgical recurrence, surgery free time, and risk factors for surgery.
    Results: Surgical intervention was performed in 54.2% of the patients, and most of the procedures were emergency surgeries (68.9%). The elective procedures (31.1%) were performed over 11 years after diagnosis. The main indications for surgery were ileal stricture (34.5%) and anorectal fistulas (20.7%). The most frequent procedure was enterectomy (24.1%). Recurrence surgery was most common in emergency procedures (OR 2.1; 95%CI 1.6-6.6). Montreal phenotype L1 stricture behavior (RR 1.3; 95%CI 1.0-1.8, p=0.04) and perianal disease (RR 1.43; 95%CI 1.2-1.7) increased the risk of emergency surgeries. The multiple linear regression showed age at diagnosis as a risk factor for surgery (p=0.004). The study of surgery free time showed no difference in the Kaplan-Meier curve for Montreal classification (p=0.73).
    Conclusions: The risk factors for operative intervention were strictures in ileal and jejunal diseases, age at diagnosis, perianal disease, and emergency indications.
    MeSH term(s) Humans ; Crohn Disease/surgery ; Crohn Disease/diagnosis ; Constriction, Pathologic/etiology ; Constriction, Pathologic/surgery ; Retrospective Studies ; Risk Factors ; Hospitals
    Language English
    Publishing date 2023-05-12
    Publishing country Brazil
    Document type Journal Article
    ISSN 2317-6326
    ISSN (online) 2317-6326
    DOI 10.1590/0102-672020230002e1730
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A CAD system for automatic dysplasia grading on H&E cervical whole-slide images.

    Oliveira, Sara P / Montezuma, Diana / Moreira, Ana / Oliveira, Domingos / Neto, Pedro C / Monteiro, Ana / Monteiro, João / Ribeiro, Liliana / Gonçalves, Sofia / Pinto, Isabel M / Cardoso, Jaime S

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 3970

    Abstract: Cervical cancer is the fourth most common female cancer worldwide and the fourth leading cause of cancer-related death in women. Nonetheless, it is also among the most successfully preventable and treatable types of cancer, provided it is early ... ...

    Abstract Cervical cancer is the fourth most common female cancer worldwide and the fourth leading cause of cancer-related death in women. Nonetheless, it is also among the most successfully preventable and treatable types of cancer, provided it is early identified and properly managed. As such, the detection of pre-cancerous lesions is crucial. These lesions are detected in the squamous epithelium of the uterine cervix and are graded as low- or high-grade intraepithelial squamous lesions, known as LSIL and HSIL, respectively. Due to their complex nature, this classification can become very subjective. Therefore, the development of machine learning models, particularly directly on whole-slide images (WSI), can assist pathologists in this task. In this work, we propose a weakly-supervised methodology for grading cervical dysplasia, using different levels of training supervision, in an effort to gather a bigger dataset without the need of having all samples fully annotated. The framework comprises an epithelium segmentation step followed by a dysplasia classifier (non-neoplastic, LSIL, HSIL), making the slide assessment completely automatic, without the need for manual identification of epithelial areas. The proposed classification approach achieved a balanced accuracy of 71.07% and sensitivity of 72.18%, at the slide-level testing on 600 independent samples, which are publicly available upon reasonable request.
    MeSH term(s) Female ; Humans ; Cervix Uteri/diagnostic imaging ; Cervix Uteri/pathology ; Uterine Cervical Dysplasia/pathology ; Uterine Cervical Neoplasms/diagnosis ; Hyperplasia/pathology ; Squamous Intraepithelial Lesions/pathology ; Carcinoma, Squamous Cell/pathology ; Neoplasm Grading
    Language English
    Publishing date 2023-03-09
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-023-30497-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Askin's Tumor. A Rare Diagnosis in an Elderly Patient.

    Ribeiro, Liliana / Apolinário, Dulce / Cunha, Joana / Guimarães, Fernando

    Archivos de bronconeumologia

    2017  Volume 53, Issue 11, Page(s) 642–643

    MeSH term(s) Aged ; Bone Neoplasms/diagnostic imaging ; Bone Neoplasms/pathology ; Humans ; Lung Neoplasms/diagnostic imaging ; Male ; Mediastinal Neoplasms/diagnostic imaging ; Mediastinal Neoplasms/pathology ; Neuroectodermal Tumors, Primitive, Peripheral/diagnostic imaging ; Neuroectodermal Tumors, Primitive, Peripheral/pathology ; Ribs/diagnostic imaging ; Tomography, X-Ray Computed
    Language Spanish
    Publishing date 2017-05-09
    Publishing country Spain
    Document type Case Reports ; Letter
    ZDB-ID 733126-5
    ISSN 1579-2129 ; 0300-2896
    ISSN (online) 1579-2129
    ISSN 0300-2896
    DOI 10.1016/j.arbres.2017.03.024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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