Review
Oncology
Peter Bankhead
Summary: The potential of quantitative image analysis and artificial intelligence in digital pathology is highlighted. However, the lack of available software and the complexity of existing methods hinder widespread adoption. This review emphasizes the need for collaboration and multidisciplinary approaches in developing new algorithms and calls for greater attention to openness, implementation, and usability. The interaction between digital pathology and the bioimage analysis community is seen as beneficial in terms of data sharing and idea exchange.
JOURNAL OF PATHOLOGY
(2022)
Review
Biology
Massimo Salvi, U. Rajendra Acharya, Filippo Molinari, Kristen M. Meiburger
Summary: Deep learning frameworks have become the main methodology for analyzing medical images, especially in digital pathology. These frameworks can handle various image analysis tasks, such as classification, detection, and segmentation. Recent studies have shown that integrating traditional image processing methods for pre- and post-processing within a deep learning pipeline can improve model performance significantly.
COMPUTERS IN BIOLOGY AND MEDICINE
(2021)
Article
Biochemical Research Methods
Jonathan Tarquino, Sara Arabyarmohammadi, Rafael Enrique Tejada, Anant Madabhushi, Eduardo Romero
Summary: This study introduces an image combined-descriptor to detect blasts and determine their probable lineage. By using an intra-nucleus mosaic pattern (InMop) descriptor and Haralick's statistics, the local structure of cells can be characterized, enabling effective differentiation between leukemic and nonleukemic cells.
Review
Endocrinology & Metabolism
Anna Crescenzi, Zubair Baloch
Summary: The use of immunohistochemistry is crucial in thyroid pathology, going beyond the confirmation of thyroid origin to include molecular profiling and prediction of clinical behavior. It has also influenced the classification scheme of thyroid tumors. Immunostains should be interpreted in conjunction with cytologic and architectural features, and their validation is essential for specimens with limited cellularity.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Review
Engineering, Biomedical
Anna Korzynska, Lukasz Roszkowiak, Jakub Zak, Krzysztof Siemion
Summary: With the advancements in deep learning methods, it is possible that these techniques can effectively assist pathologists in digital pathology. However, the high cost of data annotation remains a major obstacle in the development of computer-aided diagnostic systems for pathology. Various systems for image annotation are reviewed in this paper as a way to simplify the process of obtaining large datasets.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING
(2021)
Article
Engineering, Electrical & Electronic
Selin Aviyente, Alejandro F. Frangi, Erik Meijering, Arrate Munoz-Barrutia, Michael Liebling, Dimitri Van de Ville, Jean-Christophe Olivo-Marin, Jelena Kovacevic, Michael Unser
Summary: The Bio Image and Signal Processing (BISP) Technical Committee (TC) of the IEEE Signal Processing Society (SPS) promotes activities in the field of biomedical image and signal processing. It focuses on areas such as medical and biological imaging, digital pathology, molecular imaging, microscopy, computational imaging, and image analysis. It also includes physiological signal processing, computational biology, and bioinformatics.
IEEE SIGNAL PROCESSING MAGAZINE
(2023)
Review
Pathology
Maryam Ahmed Al Barashdi, Ahlam Ali, Mary Frances McMullin, Ken Mills
Summary: CD45, also known as PTPRC, is a transmembrane glycoprotein expressed on almost all haematopoietic cells and plays a crucial role in regulating T and B cell antigen receptor-mediated activation. Imbalance in protein tyrosine kinase and phosphatase activity from CD45 and other proteins can lead to immunodeficiency, autoimmunity, or malignancy. CD45 functions upstream of a large signalling network which varies between cell types, indicating different effects on these cells. Its involvement in the innate immune system highlights the importance of CD45 in future research.
JOURNAL OF CLINICAL PATHOLOGY
(2021)
Article
Dentistry, Oral Surgery & Medicine
Katsutoshi Kokubun, Kei Nakajima, Kei Yamamoto, Yoshihiko Akashi, Kenichi Matsuzaka
Summary: This study compared oral liquid-based cytology and histological diagnoses, and evaluated factors to consider in the cytological diagnosis of oral squamous cell carcinoma. The results showed that liquid-based cytology is useful in screening oral cancer, but cytological diagnosis of superficial-differentiated oral squamous cell carcinoma is occasionally inconsistent with the histological diagnosis, so histological and cytological examinations should be performed if tumor-like lesions are suspected clinically.
Review
Veterinary Sciences
Liza Bau-Gaudreault, Tara Arndt, Anne Provencher, Cory F. Brayton
Summary: Clinical pathology testing is a distinct specialty in investigative or biomedical research, as well as in preclinical toxicity and safety assessments for laboratory animals, requiring a thorough understanding of species-specific variables. This review aims to be a useful resource for researchers, veterinary specialists, toxicologists, and clinical or anatomic pathologists.
Editorial Material
Medicine, General & Internal
Leticia Jacome Pereira, Sara Mohrbacher, Precil Diego Miranda de Menezes Neves, Flavia Fernandes Silva Zacchi, Ivan Ucella Dantas Medeiros, Victor Augusto Hamamoto Sato, Erico Souza Oliveira, Leonardo Victor Barbosa Pereira, Americo Lourenco Cuvello-Neto, Otavio Baiocchi, Pedro Renato Chocair
Summary: Primary Effusion Lymphoma (PEL) is a rare and aggressive subtype of B-cell lymphoma, accounting for less than 1% of cases. It is characterized by its unique clinical presentation in body cavities such as the pleural space, pericardium, and peritoneum. PEL mainly affects immunocompromised individuals and those in Mediterranean regions and areas with a high prevalence of human herpesvirus 8 (HHV-8). We present a case of an 83-year-old immunocompetent male with symptoms of coughing, fever, and progressive dyspnea for 3 days. Imaging and subsequent investigations confirmed a diagnosis of PEL involving the pleura.
Review
Biochemical Research Methods
Eleni Aloupogianni, Masahiro Ishikawa, Naoki Kobayashi, Takashi Obi
Summary: Skin cancer is a prevalent cancer worldwide. Hyper/multispectral imaging (HMSI) provides a noninvasive method for evaluating skin tissue. This study systematically reviews the recent trends in HMSI-based classification and segmentation of skin lesions, highlighting the variations in frameworks and methodologies.
JOURNAL OF BIOMEDICAL OPTICS
(2022)
Article
Biochemical Research Methods
Eleni Aloupogianni, Takaya Ichimura, Mei Hamada, Masahiro Ishikawa, Takuo Murakami, Atsushi Sasaki, Koichiro Nakamura, Naoki Kobayashi, Takashi Obi
Summary: This study proposes a framework for tumor segmentation of pigmented skin lesions based on hyperspectral imaging (HSI). Pixel-wise processing and simultaneous use of spatio-spectral features are shown to improve segmentation performance and produce more comprehensive tumor masks. A three-dimensional Xception-based network achieves good performance in tumor border detection, but has difficulty detecting margins in some cases of basal cell carcinoma.
JOURNAL OF BIOMEDICAL OPTICS
(2022)
Article
Medicine, General & Internal
Jane L. Snowdon, Dilhan Weeraratne, Hu Huang, David Brotman, Shang Xue, Van C. Willis, Young Kyung Lee, Kibum Jeon, Dae Young Zang, Hyo Jung Kim, Ho Young Kim, Boram Han, Miyoung Kim
Summary: This study evaluated the performance of artificial intelligence-based Watson for Genomics in hematologic malignancies, finding it to provide useful information in diagnosis, prognosis, and treatment. Variant interpretation using WfG correlated well with manually curated expert opinions and provided unique insights into targeted drugs and clinical trials.
Article
Environmental Sciences
Sabreen E. Fadl, Zizy I. Elbialy, Walied Abdo, Adel Hassan Saad, Mohamed Aboubakr, Ahmed Abdeen, Mohamed Morsi Elkamshishi, Abdallah S. Salah, Amany El-Mleeh, Rafa Almeer, Lotfi Aleya, Mohamed M. Abdel-Daim, Agnieszka Najda, Ehab Yahya Abdelhiee
Summary: This study investigated the ameliorative effects of Spirulina and Saccharomyces cerevisiae on fipronil toxicity in Nile tilapia fish. The results showed that fipronil had negative effects on growth performance, hematological and biochemical parameters, as well as genotoxicity in Nile tilapia. However, these negative effects were mitigated by dietary supplementation of Spirulina and Saccharomyces.
ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY
(2022)
Review
Chemistry, Analytical
Sarah M. Ayyad, Mohamed Shehata, Ahmed Shalaby, Mohamed Abou El-Ghar, Mohammed Ghazal, Moumen El-Melegy, Nahla B. Abdel-Hamid, Labib M. Labib, H. Arafat Ali, Ayman El-Baz
Summary: Early diagnosis and treatment of prostate cancer are crucial to stop the growth and spread of cancer cells. Artificial intelligence and computer-aided diagnosis systems can accelerate the analysis of histopathological images. However, there is a lack of comprehensive surveys focusing on prostate cancer using histopathology images.
Letter
Hematology
Laura Bigorra, Iciar Larriba, Ricardo Gutierrez-Gallego
BRITISH JOURNAL OF HAEMATOLOGY
(2019)
Article
Hematology
A. Merino, L. Puigvi, L. Boldu, S. Alferez, J. Rodellar
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2018)
Article
Hematology
J. Rodellar, S. Alferez, A. Acevedo, A. Molina, A. Merino
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2018)
Article
Engineering, Mechanical
Magda Ruiz, Luis E. Mujica, Santiago Alferez, Leonardo Acho, Christian Tutiven, Yolanda Vidal, Jose Rodellar, Francesc Pozo
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
(2018)
Article
Computer Science, Interdisciplinary Applications
Santiago Alferez, Anna Merino, Andrea Acevedo, Laura Puigvi, Jose Rodellar
MEDICAL & BIOLOGICAL ENGINEERING & COMPUTING
(2019)
Article
Pathology
Laura Puigvi, Anna Merino, Santiago Alferez, Laura Boldu, Andrea Acevedo, Jose Rodellar
AMERICAN JOURNAL OF CLINICAL PATHOLOGY
(2019)
Article
Pathology
Laura Bigorra, Iciar Larriba, Ricardo Gutierrez-Gallego
JOURNAL OF CLINICAL PATHOLOGY
(2019)
Article
Pathology
Laura Boldu, Anna Merino, Santiago Alferez, Angel Molina, Andrea Acevedo, Jose Rodellar
JOURNAL OF CLINICAL PATHOLOGY
(2019)
Article
Computer Science, Interdisciplinary Applications
Andrea Acevedo, Santiago Alferez, Anna Merino, Laura Puigvi, Jose Rodellar
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2019)
Article
Biotechnology & Applied Microbiology
Jose Rodellar, Kevin Barrera, Santiago Alferez, Laura Boldu, Javier Laguna, Angel Molina, Anna Merino
Summary: Laboratory medicine plays a crucial role in the detection and management of COVID-19 infection. This article introduces a convolutional neural network system that can automatically recognize reactive lymphocytes specific to COVID-19 infection. Experimental results show excellent performance metrics, providing a potential tool for assisting clinical pathologists with objective early prognosis.
BIOENGINEERING-BASEL
(2022)
Meeting Abstract
Hematology
Angel Molina, Clara Pladevall, Santiago Alferez, Jose Rodellar, Anna Merino
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2018)
Meeting Abstract
Hematology
Laura Puigvi, Anna Merino, Carmen Gonzalez, Maria Elena Redin, Santiago Alferez, Laura Boldu, Andrea Acevedo, Jose Rodellar
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2018)
Meeting Abstract
Hematology
Andrea Acevedo, Anna Merino, Santiago Alferez, Laura Puigvi, Laura Boldu, Jose Rodellar
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2018)
Meeting Abstract
Hematology
Santiago Alferez, Anna Merino, Laura Puigvi, Laura Boldu, Andrea Acevedo, Jose Rodellar
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2018)
Meeting Abstract
Hematology
Laura Boldu, Santiago Alferez, Laura Puigvi, Andrea Acevedo, Jose Rodellar, Anna Merino
INTERNATIONAL JOURNAL OF LABORATORY HEMATOLOGY
(2018)