Article
Immunology
Megan Palmer, Kenneth S. Gunasekera, Marieke M. van der Zalm, Julie Morrison, H. Simon Schaaf, Pierre Goussard, Anneke C. Hesseling, Elisabetta Walters, James A. Seddon
Summary: This article identifies key chest radiograph features that strongly support the diagnosis of confirmed intrathoracic tuberculosis in children.
CLINICAL INFECTIOUS DISEASES
(2022)
Review
Medicine, General & Internal
Anja van't Hoog, Kerri Viney, Olivia Biermann, Bada Yang, Mariska M. G. Leeflang, Miranda W. Langendam
Summary: This study assessed the sensitivity and specificity of symptom questioning and chest radiography (CXR) as screening tools for detecting pulmonary tuberculosis disease. The results showed that symptom questioning had low sensitivity but high specificity, while CXR had high sensitivity but low specificity. These findings are important for designing screening and diagnostic algorithms and implementing tuberculosis screening programs in specific settings.
COCHRANE DATABASE OF SYSTEMATIC REVIEWS
(2022)
Article
Infectious Diseases
Lydia Nakiyingi, John Mark Bwanika, Willy Ssengooba, Frank Mubiru, Damalie Nakanjako, Moses L. Joloba, Harriet Mayanja-Kizza, Yukari C. Manabe
Summary: In high prevalence TB/HIV settings, CXR interpretation can increase the sensitivity of TB diagnosis in HIV-positive smear-negative patients at the expense of specificity.
BMC INFECTIOUS DISEASES
(2021)
Article
Computer Science, Information Systems
Chang Liu, Yong Luo, Yongchao Xu, Bo Du
Summary: Tuberculosis (TB) is a widespread infectious disease, and early diagnosis and treatment are crucial for improving survival rates. In recent years, machine learning, specifically federated learning (FL), has been used for TB diagnosis to protect data privacy across multiple medical centers. This study proposes a personalized federated learning (PFL) method to leverage the unique properties of each medical center and improve the TB diagnosis accuracy.
MULTIMEDIA TOOLS AND APPLICATIONS
(2023)
Review
Chemistry, Analytical
Degaga Wolde Feyisa, Yehualashet Megersa Ayano, Taye Girma Debelee, Friedhelm Schwenker
Summary: Pulmonary tuberculosis (PTB) is a bacterial infection that affects the lung, and its diagnosis often relies on chest radiography. Deep learning (DL) techniques have been proposed to detect and mark areas of tuberculosis infection in chest X-rays, but fully supervised semantic segmentation is challenging due to the need for pixel-level labeled images. Weakly supervised localization techniques are gaining interest in localizing tuberculosis radiographic manifestations in chest X-rays.
Article
Cardiac & Cardiovascular Systems
Caitlin Morgan, Jessica Barrett, Aaron Brown, Charles Coughlan, Sathyavani Subbarao, Aula Abbara, Laurence John, Laura Martin, William Lynn, Georgina Russell, Onn Min Kon
Summary: The study reveals that a significant proportion of patients diagnosed with pTB and ITLN TB had normal chest X-ray appearances. Therefore, it is recommended that CT imaging and respiratory samples be conducted on all suspected cases of pTB and ITLN TB, even if the chest X-ray is normal.
RESPIRATORY MEDICINE
(2021)
Article
Computer Science, Artificial Intelligence
Subhrajit Dey, Rajarshi Roychoudhury, Samir Malakar, Ram Sarkar
Summary: Early detection of Tuberculosis is crucial in reducing mortality rates by preventing its spread to other body parts, and researchers are working on developing a computerized decision support system for efficient diagnosis.
APPLIED SOFT COMPUTING
(2022)
Article
Public, Environmental & Occupational Health
Jingjing Luo, Xia Yu, Lingling Dong, Fengmin Huo, Yifeng Ma, Qian Liang, Yuanyuan Shang, Hairong Huang
Summary: This study aimed to identify the causes of smear-positive-culture-negative (S+/C-) outcomes in tuberculosis patients during treatment. A retrospective study was conducted at Beijing Chest Hospital in China. The results showed that the S+/C- rates were higher in the liquid culture group compared to the solid culture group.
FRONTIERS IN PUBLIC HEALTH
(2023)
Review
Microbiology
Michael Nel, Zoe Franckling-Smith, Tanyia Pillay, Savvas Andronikou, Heather J. Zar
Summary: Diagnosing pulmonary tuberculosis in children is challenging due to difficulties in obtaining suitable specimens and limitations of current diagnostic methods. Chest imaging plays a crucial role in diagnosis and treatment response monitoring, but traditional chest radiographs are often nonspecific with high inter- and intra-observer variability. Other diagnostic imaging modalities can provide additional information to support diagnosis.
Review
Radiology, Nuclear Medicine & Medical Imaging
Soon Ho Yoon, Jin Mo Goo, Jae-Joon Yim, Takashi Yoshiyama, JoAnne L. Flynn
Summary: This article critically reviews the CT and PET findings of incipient tuberculosis without X-ray abnormalities, revealing pauci-nodular infiltrations and metabolic uptake in asymptomatic close contacts. These findings challenge the validity of simply dichotomizing cases of tuberculosis based on X-ray abnormalities and suggest the need for advanced imaging tools to stratify contacts on a continuous spectrum. Identifying incipient tuberculosis would provide an opportunity for earlier treatment.
INSIGHTS INTO IMAGING
(2022)
Article
Health Care Sciences & Services
Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael K. Atalay, Terrance Healey, Yong Fan, Wei-Hua Liao, Jianxin Wang, Harrison X. Bai
Summary: The study developed a diagnostic model for the detection and evaluation of COVID-19 pneumonia, integrating it into an automated triage pipeline. By collecting a large number of chest X-rays and related data, the study demonstrated the value of the pipeline through assessing the model's generalizability and comparing it with traditional radiologist interpretation.
NPJ DIGITAL MEDICINE
(2022)
Article
Microbiology
Monica R. Ticlla, Jerry Hella, Hellen Hiza, Mohamed Sasamalo, Francis Mhimbira, Liliana K. Rutaihwa, Sara Droz, Sarah Schaller, Klaus Reither, Markus Hilty, Inaki Comas, Christian Beisel, Christoph D. Schmid, Lukas Fenner, Sebastien Gagneux
Summary: The study found that there is an inverse relationship among Streptococcus, Selenomonas, and Fusobacterium in the airway microbiome of TB patients, with the strength of these relationships correlated with Faith's phylogenetic diversity and the accumulation of transient genera. Low BMI was associated with abnormal CXRs and community diversity and composition, mediated by increased abundance of Selenomonas and Fusobacterium. Additionally, detection of herpesviruses and anelloviruses in sputum microbial assemblage was linked to co-infection with HIV.
FRONTIERS IN MICROBIOLOGY
(2021)
Article
Immunology
Amanda McIvor, Bhavna Gowan Gordhan, Ziyaad Waja, Kennedy Otwombe, Neil A. Martinson, Bavesh Davandra Kana
Summary: The addition of growth factors to the MGIT culture system can reduce the time to culture positivity, especially in HIV-TB co-infected patients with low sputum bacillary loads. This method has shown to enhance detection of M. tuberculosis in specimens that were previously negative under standard conditions.
Article
Computer Science, Information Systems
Milon Biswas, Loveleen Gaur, Fayadh Alenezi, K. C. Santosh, Md. Kawsher Mahbub
Summary: Chest X-ray (CXR) imaging is a low-cost and easy-to-use method for diagnosing/screening pulmonary abnormalities caused by infectious diseases. A lightweight deep neural network (DNN) proposed in the study shows high accuracy in non-healthy versus healthy CXR screening, comparable to current state-of-the-art techniques.
INFORMATION SCIENCES
(2022)
Article
Multidisciplinary Sciences
Carly A. Rodriguez, Sara Lodi, C. Robert Horsburgh, Mathieu Bastard, Cathy Hewison, Helena Huerga, Munira Khan, Palwasha Y. Khan, Uzma Khan, Lawrence Oyewusi, Shrivani Padayachee, Carole D. Mitnick, Molly F. Franke
Summary: Extending the baseline culture interval past treatment initiation may introduce selection bias. The proportion of patients missing a pre-treatment culture and the number of deaths and losses to follow up during the post-treatment allowable interval should be clearly enumerated.
Article
Microbiology
Charles A. Peloquin, Patrick P. J. Phillips, Carole D. Mitnick, Kathleen Eisenach, Ramonde F. Patientia, Leonid Lecca, Eduardo Gotuzzo, Neel R. Gandhi, Donna Butler, Andreas H. Diacon, Bruno Martel, Juan Santillan, Kathleen Robergeau Hunt, Dante Vargas, Florian von Groote-Bidlingmaier, Carlos Seas, Nancy Dianis, Antonio Moreno-Martinez, Pawandeep Kaur, C. Robert Horsburgh
ANTIMICROBIAL AGENTS AND CHEMOTHERAPY
(2018)
Letter
Immunology
C. Fordham von Reyn, C. Robert Horsburgh
CLINICAL INFECTIOUS DISEASES
(2018)
Review
Public, Environmental & Occupational Health
Y. Ma, C. R. Horsburgh, L. F. White, H. E. Jenkins
EPIDEMIOLOGY AND INFECTION
(2018)
Review
Infectious Diseases
L. A. Saag, M. P. LaValley, N. S. Hochberg, J. P. Cegielski, J. A. Pleskunas, B. P. Linas, C. R. Horsburgh
INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
(2018)
Editorial Material
Infectious Diseases
Sarah McAnaw, Carly A. Rodriguez, Abbe Muller, Carole Mitnick, C. Robert Horsburgh
INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
(2018)
Letter
Infectious Diseases
Lauren A. Saag, C. Robert Horsburgh
INTERNATIONAL JOURNAL OF TUBERCULOSIS AND LUNG DISEASE
(2018)
Article
Immunology
J. Morgan Freiman, Karen R. Jacobson, Winnie R. Muyindike, C. Robert Horsburgh, Jerrold J. Eller, Judith A. Hahn, Benjamin P. Linas
JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES
(2018)
Article
Immunology
Julia K. Rohr, Prudence Ive, Charles Robert Horsburgh, Rebecca Berhanu, Christopher J. Hoffmann, Robin Wood, Andrew Boulle, Janet Giddy, Hans Prozesky, Michael Vinikoor, Mwanza Wa Mwanza, Gilles Wandeler, Mary -Ann Davies, Matthew P. Fox
JAIDS-JOURNAL OF ACQUIRED IMMUNE DEFICIENCY SYNDROMES
(2018)
Article
Immunology
Samantha Leong, Yue Zhao, Noyal M. Joseph, Natasha S. Hochberg, Sonali Sarkar, Jane Pleskunas, David Hom, Subitha Lakshminarayanan, C. Robert Horsburgh, Gautam Roy, Jerrold J. Ellner, W. Evan Johnson, Padmini Salgame
Editorial Material
Critical Care Medicine
Keertan Dheda, Tawanda Gumbo, Christoph Lange, C. Robert Horsburgh, Jennifer Furin
LANCET RESPIRATORY MEDICINE
(2018)
Article
Infectious Diseases
Bronwyn Myers, Tara C. Bouton, Elizabeth J. Ragan, Laura F. White, Helen McIlleron, Danie Theron, Charles D. H. Parry, C. Robert Horsburgh, Robin M. Warren, Karen R. Jacobson
BMC INFECTIOUS DISEASES
(2018)
Review
Immunology
Pranay Sinha, Juliana Davis, Lauren Saag, Christine Wanke, Padmini Salgame, Jackson Mesick, C. Robert Horsburgh, Natasha S. Hochberg
JOURNAL OF INFECTIOUS DISEASES
(2019)
Article
Public, Environmental & Occupational Health
Krishna P. Reddy, Ankur Gupta-Wright, Katherine L. Fielding, Sydney Costantini, Amy Zheng, Elizabeth L. Corbett, Liyang Yu, Joep J. Van Oosterhout, Stephen C. Resch, Douglas P. Wilson, C. Robert Horsburgh, Robin Wood, Melanie Alufandika-Moyo, Jurgens A. Peters, Kenneth A. Freed Berg, Stephen D. Lawn, Rochelle P. Walensky
LANCET GLOBAL HEALTH
(2019)
Article
Respiratory System
K. Mezwa, S. McAnaw, C-Y Chiang, A. Trebucq, C. R. Horsburgh
PUBLIC HEALTH ACTION
(2018)
Article
Immunology
Sabrina A. Assoumou, Abriana Tasillo, Jared A. Leff, Bruce R. Schackman, Mari-Lynn Drainoni, C. Robert Horsburgh, M. Anita Barry, Craig Regis, Arthur Y. Kim, Alison Marshall, Sheel Saxena, Peter C. Smith, Benjamin P. Linas
CLINICAL INFECTIOUS DISEASES
(2018)