Evidence map›Paper›PMID 25473034›Full record

Trial reportScience translational medicine2014

PET/CT imaging correlates with treatment outcome in patients with multidrug-resistant tuberculosis.

Ray Y Chen, Lori E Dodd, Myungsun Lee, Praveen Paripati, Dima A Hammoud, James M Mountz, Doosoo Jeon, Nadeem Zia, Homeira Zahiri, M Teresa Coleman and 15 more

Open access · greenAbstract readClinical Trial, Phase IIRandomized Controlled Trial
In one paragraph

Trial report in Science translational medicine, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 88 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
88citing papers in PubMed, 1 pooled it
10.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

88 citing papers in PubMed, 1 synthesis or guideline pooled it, 155 citations in OpenAlex.

  1. EANM/SNMMI guideline/procedure standard for [European journal of nuclear medicine and molecular imaging · 2025
    Guideline
  2. Trial
  3. Trial
  4. Trial
  5. Trial
  6. Review
  7. bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. European respiratory review : an official journal of the European Respiratory Society · 2025
    Review
  17. Article
  18. PET/CT guided tuberculosis treatment shortening: a randomized trial.medRxiv : the preprint server for health sciences · 2024
    Article
  19. Review
  20. Article

28 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 4 institutions in 2 countries.

Ray Y ChenTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Lori E DoddBiostatistics Research Branch, NIAID, NIH, Bethesda, MD 20892, USA.
Myungsun LeeInternational Tuberculosis Research Center, Changwon 631-710, South Korea.
Praveen ParipatiNET Esolutions Corporation (NETE), NETE-FGI Imaging Team, McLean, VA 22102, USA.
Dima A HammoudDivision of Diagnostic Radiology, Clinical Center, NIH, Bethesda, MD 20892, USA.
James M MountzDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Doosoo JeonNational Masan Hospital, Changwon 631-710, South Korea.
Nadeem ZiaDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Homeira ZahiriDivision of Diagnostic Radiology, Clinical Center, NIH, Bethesda, MD 20892, USA.
M Teresa ColemanDepartment of Radiology, University of Pittsburgh, Pittsburgh, PA 15260, USA.
Matthew W CarrollTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Jong Doo LeeDepartment of Nuclear Medicine, Yonsei University College of Medicine, Seoul 120-752, South Korea.
Yeon Joo JeongDepartment of Diagnostic Radiology, Pusan National University School of Medicine, Busan 609-735, South Korea.
Peter HerscovitchPET Department, Clinical Center, NIH, Bethesda, MD 20892, USA.
Saher LahouarNET Esolutions Corporation (NETE), NETE-FGI Imaging Team, McLean, VA 22102, USA.
Michael TartakovskyOffice of Cyber Infrastructure and Computational Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Alexander RosenthalOffice of Cyber Infrastructure and Computational Biology, NIAID, NIH, Bethesda, MD 20892, USA.
Sandeep SomaiyyaNET Esolutions Corporation (NETE), NETE-FGI Imaging Team, McLean, VA 22102, USA.
Soyoung LeeInternational Tuberculosis Research Center, Changwon 631-710, South Korea.
Lisa C GoldfederTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Ying CaiTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Laura E ViaTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD 20892, USA.
Seung-Kyu ParkNational Masan Hospital, Changwon 631-710, South Korea.
Sang-Nae ChoInternational Tuberculosis Research Center, Changwon 631-710, South Korea. Department of Microbiology and Institute of Immunology and Immunological Disease, Yonsei University College of Medicine, Seoul 120-752, South Korea.
Clifton E BarryTuberculosis Research Section, Laboratory of Clinical Infectious Diseases, National Institute of Allergy and Infectious Diseases (NIAID), National Institutes of Health (NIH), Bethesda, MD 20892, USA. Institute of Infectious Disease and Molecular Medicine, and the Department of Clinical Laboratory Sciences, Faculty of Health Sciences, University of Cape Town, Rondebosch 7701, South Africa. cbarry@niaid.nih.gov.
University of Pittsburgh · USNational Institutes of Health · USNational Institutes of Health Clinical Center · USUniversity of Cape Town · ZA

Funding

International Research in Korea: Clinical Studies of Drug-Resistant TuberculosisZIAAI001067 · NIAID · NATIONAL INSTITUTE OF ALLERGY AND INFECTIOUS DISEASES · PI BARRY, CLIFTON · 2009 to 2017
$6.9M
Intramural NIH HHS ZIA AI001067
6 · The paper itself

Abstract

Definitive clinical trials of new chemotherapies for treating tuberculosis (TB) require following subjects until at least 6 months after treatment discontinuation to assess for durable cure, making these trials expensive and lengthy. Surrogate endpoints relating to treatment failure and relapse are currently limited to sputum microbiology, which has limited sensitivity and specificity. We prospectively assessed radiographic changes using 2-deoxy-2-[(18)F]-fluoro-D-glucose (FDG) positron emission tomography/computed tomography (PET/CT) at 2 and 6 months (CT only) in a cohort of subjects with multidrug-resistant TB, who were treated with second-line TB therapy for 2 years and then followed for an additional 6 months. CT scans were read semiquantitatively by radiologists and were computationally evaluated using custom software to provide volumetric assessment of TB-associated abnormalities. CT scans at 6 months (but not 2 months) assessed by radiologist readers were predictive of outcomes, and changes in computed abnormal volumes were predictive of drug response at both time points. Quantitative changes in FDG uptake 2 months after starting treatment were associated with long-term outcomes. In this cohort, some radiologic markers were more sensitive than conventional sputum microbiology in distinguishing successful from unsuccessful treatment. These results support the potential of imaging scans as possible surrogate endpoints in clinical trials of new TB drug regimens. Larger cohorts confirming these results are needed.

Indexed as

Positron-Emission TomographyTomography, X-Ray ComputedAdultAlgorithmsDouble-Blind MethodFemaleFluorodeoxyglucose F18HumansLungMaleMetronidazoleMultimodal ImagingObserver VariationProspective StudiesRadiographic Image Interpretation, Computer-AssistedROC CurveFluorodeoxyglucose F18Metronidazole

Identifiers

PMID25473034
PMCPMC5567784
OpenAlexW1967594644

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.