Publications that evaluate CAD4TB


Actual overview of CAD publications as listed at:
http://www.diagnijmegen.nl

Economics publications

"Economic analysis of different throughput scenarios and implementation strategies of computer-aided detection software as a screening and triage test for pulmonary TB".

The recent study in Pakistan (S. Bashir. et al) shows that CAD4TB is the most economical CAD software for offline deployment.

Mainstreaming chest X-ray (CXR) screening with either artificial intelligence (AI) -powered computer aided detection (CAD) or human readers for intensified tuberculosis case finding (ICF) is a promising solution to some of the key limitations of the current ICF strategy in the Philippines, which relies on symptom-based screening as the primary screening tool. Shifting to CXR screening as the primary screening tool and expanding the capacity for ICF can help reduce delayed or missed tuberculosis (TB) case detection due to prolonged turnaround time (TAT).

Clinical publications

An independent, multi-country head-to-head accuracy comparison of automated chest x-ray algorithms for the triage of pulmonary tuberculosis

A head-to-head evaluation of five CAD algorithms for TB triage across seven countries. Multiple CAD algorithms can achieve or exceed the minimum target accuracy for a TB triage test, with improvement when using setting- or population-specific thresholds. CAD4TB had the highest overall accuracy (73.8% specific, 95% CI 72.2-75.4, at 90% sensitivity), although qXR and INSIGHT CXR also achieved the target 70% specificity. Not yet peer reviewed. - Abstract

Diagnostic Accuracy of Computer-Aided Detection During Active Case Finding for Pulmonary Tuberculosis in Africa: A Systematic Review and Meta-analysis

Computer-aided detection (CAD) may be a useful screening tool for tuberculosis (TB). However, there are limited data about its utility in active case finding (ACF) in a community-based setting, and particularly in an HIV-endemic setting where performance may be compromised. - Abstract

Assessment of non-tuberculosis abnormalities on digital chest x-rays with high CAD4TB scores from a tuberculosis prevalence survey in Zambia and South Africa

Comparing different versions of computer-aided detection products when reading chest X-rays for tuberculosis. CAD4TB v7 had a significantly higher AUC than v6, 0.903 (95% CI: 0.897–0.908) compared to 0.823 (0.816–0.830). CAD4TB v7 significantly improved on its predecessor’s specificity, outperforming human radiologists with specificity and meeting WHO TPP values.

Zhi Zhen Qin , Rachael Barrett, Shahriar Ahmed, Mohammad Shahnewaz Sarker, Kishor Paul, Ahammad Shafiq Sikder Adel, Sayera Banu, Jacob Creswell - Abstract - PDF

Portable digital X-ray for TB pre-diagnosis screening in rural communities in Nigeria.

Odume, B., Chukwu, E., Fawole, T., Nwokoye, N., Ogbudebe, C., Chukwuogo, O., Useni, S., Dim, C., Ubochioma, E., Nongo, D., Eneogu, R., Lagundoye Odusote, T., Oyelaran, O., Anyaike, C - Abstract - PDF

New article following up on the WHO’s recommendation on using AI-powered CAD software for TB screening & triage. The study compares CAD4TB ver. 6 and 7, and concludes that CAD4TB 7 significantly outperformed CAD4TB 6, performed better than human readers and met WHO TPP values. Additionally, CAD4TB 7 shows a steep initial increase of Xpert tests saving and suggests greater numbers of Xpert tests to be saved.

Zhi Zhen Qin, Rachael Barrett, Shahriar Ahmed, Mohammad Shahnewaz Sarker, Kishor Paul, Ahammad Shafiq Sikder Adel, Sayera Banu, Jacob Creswell - Abstract - PDF

Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system.

Keelin Murphy, Shifa Salman Habib, Syed Mohammad Asad Zaidi, Saira Khowaja, Aamir Khan, Jaime Melendez, Ernst T. Scholten, Farhan Amad, Steven Schalekamp, Maurits Verhagen, Rick H. H. M. Philipsen, Annet Meijers, Bram van Ginneken - Image and Video Processing (eess.IV); Computer Vision and Pattern Recognition (cs.CV) Abstract - PDF

Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening.

J. Melendez, L. Hogeweg, C.I. Sánchez, R.H.H.M. Philipsen, R.W. Aldridge, A. Hayward, I. Abubakar, B. van Ginneken and A. Story - International Journal of Tuberculosis and Lung Disease 2018;22(5):567-571 Abstract/PDF - DOI - PMID

Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey.

J. Melendez, R.H.H.M. Philipsen, P. Chanda-Kapata, V. Sunkutu, N. Kapata and B. van Ginneken - International Journal of Tuberculosis and Lung Disease 2017;21:880-886 Abstract/PDF - DOI - PMID

An automated tuberculosis screening strategy combining X-ray-based computer-aided detection and clinical information.

J. Melendez, C.I. Sanchez, R.H.H.M. Philipsen, P. Maduskar, R. Dawson, G. Theron, K. Dheda and B. van Ginneken - Nature Scientific Reports 2016;6:25265 Abstract/PDF - DOI - PMID

Screening for pulmonary tuberculosis in a Tanzanian prison and computer-aided interpretation of chest X-rays.

A. Steiner, C. Mangu, J. van den Hombergh, H. van Deutekom, B. van Ginneken, P. Clowes, F. Mhimbira, S. Mfinanga, A. Rachow, K. Reither and M. Hoelscher - Public Health Action 2015;5(4):249-254 Abstract/PDF - DOI - PMID

Automated chest-radiography as a triage for Xpert® testing in resource-constrained settings: a prospective study of diagnostic accuracy and costs.

R. Philipsen, C.I. Sánchez, P. Maduskar, J. Melendez, L. Peters-Bax, J. Peter, R. Dawson, G. Theron, K. Dheda and B. van Ginneken - Nature Scientific Reports2015;5 Abstract/PDF - DOI - PMID

Computerized Reading of Chest Radiographs in The Gambia National Tuberculosis Prevalence Survey: Retrospective Comparison with Human Experts.

P. Maduskar, I. Adetifa, J. van den Hombergh, E. Leroy-Terquem, A. Fasan-Odunsi, C.I. Sánchez, U. d'Alessandro and B. van Ginneken - Union World Conference on Lung Health, 2015 Abstract/PDF

Objective Computerized Chest Radiography Screening to Detect Tuberculosis in the Philippines.

R.H. Philipsen, C.I. Sánchez, P. Maduskar, J. Melendez, B. van Ginneken and W. Lew - Union World Conference on Lung Health, 2015 Abstract/PDF

Diagnostic accuracy of computer-aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-saharan Africa.

M. Breuninger, B. van Ginneken, R.H.H.M. Philipsen, F. Mhimbira, J.J. Hella, F. Lwilla, J. van den Hombergh, A. Ross, L. Jugheli, D. Wagner and K. Reither - PLoS One 2014;9:e106381 Abstract/PDF - DOI - PMID

The Sensitivity and Specificity of Using a Computer Aided Diagnosis Program for Automatically Scoring Chest X-Rays of Presumptive TB Patients Compared with Xpert® MTB/RIF in Lusaka Zambia.

M. Muyoyeta, P. Maduskar, M. Moyo, N. Kasese, D. Milimo, R. Spooner, N. Kapata, L. Hogeweg, B. van Ginneken and H. Ayles - PLoS One 2014;9(4):e93757 Abstract/PDF - DOI - PMID

Detection of Chest X-ray abnormalities and tuberculosis using computer-aided detection vs interpretation by radiologists and a clinical officer.

A. Khan, A. Zaidi, R. Philipsen, S. Khowaja, B. van Ginneken, A. Khan and T. Dossul - 45th World Conference on Lung Health, 2014 Abstract/PDF

Computer-aided diagnosis of X-rays in a screening for pulmonary tuberculosis of a prison population in Tanzania.

A. Steiner, F. Mhimbira, J. van den Hombergh, P. Clowes, C. Mangu, B. van Ginneken, M. Hoelscher and K. Reither - 45th World Conference on Lung Health, 2014 Abstract/PDF

Symptomatic screening and computer-aided radiography for active-case finding of tuberculosis: a prediction model for TB case detection.

A. Zaidi, N. Khalid, R. Philipsen, B. van Ginneken, S. Khowaja and A. Khan - 45th World Conference on Lung Health, 2014 Abstract/PDF

Detection of tuberculosis with digital chest radiography: automatic reading versus interpretation by clinical officers.

P. Maduskar, M. Muyoyeta, H. Ayles, L. Hogeweg, L. Peters-Bax and B. van Ginneken - International Journal of Tuberculosis and Lung Disease 2013;17:1613-1620 Abstract/PDF - DOI - PMID

Performance of inexperienced and experienced observers in detection of active tuberculosis on digital chest radiographs with and without the use of computer-aided diagnosis.

B. van Ginneken, L. Hogeweg, P. Maduskar, L. Peters-Bax, R. Dawson, K. Dheda, H. Ayles, J. Melendez and C.I. Sánchez - Annual Meeting of the Radiological Society of North America, 2012 Abstract/PDF

Computer-aided detection of tuberculosis among high risk groups: potential for automated triage.

L. Hogeweg, A. Story, A. Hayward, R. Aldridge, I. Abubakar, P. Maduskar and B. van Ginneken - Annual Meeting of the Radiological Society of North America, 2011 Abstract/PDF

Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms - ScienceDirect.

Zhi Zhen Qin MSc, Shahriar Ahmed MHE, Mohammad Shahnewaz Sarker BSc, Kishor Paul MPH, Ahammad Shafiq Sikder Adel MPH, Tasneem Naheyan BS, Rachael Barrett BA, Sayera Banu PhD, Jacob Creswell PhD, - Stop TB Partnership, Geneva, Switzerland & International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh, 2021 Abstract/PDF

Computer-aided interpretation of chest radiography reveals the spectrum of tuberculosis in rural South Africa | medRxiv.

Jana Fehr, Stefan Konigorski, Stephen Olivier, Resign Gunda, Ashmika Surujdeen, Dickman Gareta, Theresa Smit, Kathy Baisley, Sashen Moodley, Yumna Moosa, Willem Hanekom, Olivier Koole, Thumbi Ndung’u, Deenan Pillay, Alison D. Grant, Mark J. Siedner, Christoph Lippert, Emily B. Wong, the Vukuzazi Team - This article is a preprint and has not been peer-reviewed. Abstract/PDF

Computer-aided X-ray screening for tuberculosis and HIV testing among adults with cough in Malawi (the PROSPECT study): A randomised trial and cost-effectiveness analysis (plos.org)

Peter MacPherson , Emily L. Webb, Wala Kamchedzera, Elizabeth Joekes, Gugu Mjoli, David G. Lalloo, Titus H. Divala, Augustine T. Choko, Rachael M. Burke, Hendramoorthy Maheswaran, Madhukar Pai, S. Bertel Squire, Marriott Nliwasa, Elizabeth L. Corbett - Published: September 9, 2021 Abstract/PDF

Evaluation of computer aided detection of tuberculosis on chest radiography among people with diabetes in Karachi Pakistan | Scientific Reports (nature.com)

Shifa Salman Habib, Sana Rafiq, Syed Mohammad Asad Zaidi, Rashida Abbas Ferrand, Jacob Creswell, Bram Van Ginneken, Wafa Zehra Jamal, Kiran Sohail Azeemi, Saira Khowaja, Aamir Khan - Published: April 14, 2020 Abstract/PDF

Technical publications

Fast and effective quantification of symmetry in medical images for pathology detection: application to chest radiography.

L. Hogeweg, C.I. Sánchez, P. Maduskar, R.H.H.M. Philipsen and B. van Ginneken - Medical Physics 2017;44(6):2242-2256 Abstract/PDF - DOI - PMID

Automatic detection of pleural effusion in chest radiographs.

P. Maduskar, R.H.M.M. Philipsen, J. Melendez, E. Scholten, D. Chanda, H. Ayles, C.I. Sánchez and B. van Ginneken - Medical Image Analysis 2016;28:22-32 Abstract/PDF - DOI - PMID

On Combining Multiple-Instance Learning and Active Learning for Computer-Aided Detection of Tuberculosis.

J. Melendez, B. van Ginneken, P. Maduskar, R. Philipsen, H. Ayles and C.I. Sánchez - IEEE Transactions on Medical Imaging 2016;35(4):1013-1024 Abstract/PDF - DOI - PMID

Localized energy-based normalization of medical images: application to chest radiography.

R. Philipsen, P. Maduskar, L. Hogeweg, J. Melendez, C.I. Sánchez and B. van Ginneken - IEEE Transactions on Medical Imaging 2015;34:1965-75 Abstract/PDF - DOI - PMID

Automatic detection of tuberculosis in chest radiographs using a combination of textural, focal, and shape abnormality analysis.

L. Hogeweg, C.I. Sánchez, P. Maduskar, R. Philipsen, A. Story, R. Dawson, G. Theron, K. Dheda, L. Peters-Bax and B. van Ginneken - IEEE Transactions on Medical Imaging 2015;34(12):2429-2442 Abstract/PDF - DOI - PMID

A Novel Multiple-Instance Learning-Based Approach to Computer-Aided Detection of Tuberculosis on Chest X-Rays.

J. Melendez, B. van Ginneken, P. Maduskar, R.H.H.M. Philipsen, K. Reither, M. Breuninger, I.M.O. Adetifa, R. Maane, H. Ayles and C.I. Sánchez - IEEE Transactions on Medical Imaging 2015;34:179-192 Abstract/PDF - DOI - PMID

Cavity contour segmentation in chest radiographs using supervised learning and dynamic programming.

P. Maduskar, L. Hogeweg, P.A. de Jong, L. Peters-Bax, R. Dawson, H. Ayles, C.I. Sánchez and B. van Ginneken - Medical Physics 2014;41:071912-1 - 071912-15 Abstract/PDF - DOI - PMID

Multiple-instance learning for computer-aided detection of tuberculosis.

J. Melendez, C.I. Sánchez, R.H.H.M. Philipsen, P. Maduskar and B. van Ginneken - Medical Imaging, volume 9035 of Proceedings of the SPIE, 2014, page 90351J Abstract/PDF - DOI

Suppression of translucent elongated structures: applications in chest radiography.

L. Hogeweg, C.I. Sánchez and B. van Ginneken - IEEE Transactions on Medical Imaging 2013;32:2099-2113 Abstract/PDF - DOI - PMID

Foreign object detection and removal to improve automated analysis of chest radiographs.

L. Hogeweg, C.I. Sánchez, J. Melendez, P. Maduskar, A. Story, A. Hayward and B. van Ginneken - Medical Physics 2013;40:071901 Abstract/PDF - DOI - PMID

Automated Scoring of Chest Radiographs for Tuberculosis Prevalence Surveys: A Combined Approach.

B. van Ginneken, R.H.H.M. Philipsen, L. Hogeweg, P. Maduskar, J.C. Melendez, C.I. Sánchez, R. Maane, B. dei Alorse, U. d'Alessandro and I.M.O. Adetifa - The Fifth International Workshop on Pulmonary Image Analysis, 2013, pages 9-19 Abstract/PDF

Automated localization of costophrenic recesses and costophrenic angle measurement on frontal chest radiographs.

P. Maduskar, L. Hogeweg, R. Philipsen and B. van Ginneken - Medical Imaging, volume 8670 of Proceedings of the SPIE, 2013, page 867038 Abstract/PDF - DOI

Improved texture analysis for automatic detection of Tuberculosis (TB) on Chest Radiographs with Bone Suppression images.

P. Maduskar, L. Hogeweg, R. Philipsen, S. Schalekamp and B. van Ginneken - Medical Imaging, volume 8670 of Proceedings of the SPIE, 2013, page 86700H Abstract/PDF - DOI

Clavicle segmentation in chest radiographs.

L. Hogeweg, C.I. Sánchez, P.A. de Jong, P. Maduskar and B. van Ginneken - Medical Image Analysis 2012;16:1490 - 1502 Abstract/PDF - DOI - PMID

Fusion of local and global detection systems to detect tuberculosis in chest radiographs.

L. Hogeweg, C. Mol, P.A. de Jong, R. Dawson, H. Ayles and B. van Ginneken - Medical Image Computing and Computer-Assisted Intervention, volume 6363 of Lecture Notes in Computer Science, 2010, pages 650-657 Abstract/PDF - DOI - PMID

Rib suppression in chest radiographs to improve classification of textural abnormalities.

L. Hogeweg, C. Mol, P.A. de Jong and B. van Ginneken - Medical Imaging, volume 7624 of Proceedings of the SPIE, 2010, pages 76240Y1-76240Y6 Abstract/PDF - DOI

Dissimilarity-based classification in the absence of local ground truth: application to the diagnostic interpretation of chest radiographs.

Y. Arzhaeva, D.M.J. Tax and B. van Ginneken - Pattern Recognition 2009;42:1768-1776 Abstract/PDF - DOI

Computer-aided detection of interstitial abnormalities in chest radiographs using a reference standard based on computed tomography.

Y. Arzhaeva, M. Prokop, D.M.J. Tax, P.A. de Jong, C.M. Schaefer-Prokop and B. van Ginneken - Medical Physics 2007;34:4798-4809 Abstract/PDF - DOI - PMID

Segmentation of anatomical structures in chest radiographs using supervised methods: a comparative study on a public database.

B. van Ginneken, M.B. Stegmann and M. Loog - Medical Image Analysis 2006;10:19-40 Abstract/PDF - DOI - PMID

Automatic detection of abnormalities in chest radiographs using local texture analysis.

B. van Ginneken, S. Katsuragawa, B.M. ter Haar Romeny, K. Doi and M.A. Viergever - IEEE Transactions on Medical Imaging 2002;21:139-149 Abstract/PDF - DOI - PMID