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Article

18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Assessing Treatment Response of Pulmonary Multidrug-Resistant Tuberculosis

1
Department of Nuclear Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea
2
Division of Pulmonary and Critical Care Medicine, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnamgu, Seoul 06351, Korea
3
Department of Radiology, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro, Gangnam-gu, Seoul 06351, Korea
*
Author to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Clin. Med. 2018, 7(12), 559; https://doi.org/10.3390/jcm7120559
Submission received: 13 November 2018 / Revised: 10 December 2018 / Accepted: 14 December 2018 / Published: 17 December 2018
(This article belongs to the Section Pulmonology)

Abstract

:
Background: The purpose of this prospective study was to evaluate the role of 18F-Fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) for assessing treatment response in patients with pulmonary multidrug-resistant tuberculosis (MDR-TB). Methods: The study subjects were four patients diagnosed with pulmonary MDR-TB who underwent MDR-TB treatment and serial 18F-FDG PET/CT at baseline and 6 and 12 months after treatment. The highest lung maximum standardized uptake value (SUVmax), average SUVmean (average of all hypermetabolic parenchymal lesions), total metabolic lung volume (TMLV, sum of metabolic volumes from the hypermetabolic parenchymal lesions), and total lung glycolysis (TLG, sum of lesion glycolysis from the hypermetabolic parenchymal lesions) were determined as representative quantitative PET parameters for each patient. Results: All patients except one had negative sputum culture conversion after one month of treatment and achieved successful treatment outcomes. Baseline TMLV and TLG PET parameters were much higher in the single patient with treatment failure than in the remaining three patients with treatment success. No other PET parameters at baseline or follow-up were associated with the treatment results. Conclusions: Pretreatment volume-based 18F-FDG PET/CT lung parameters were associated with the final therapeutic response in patients with pulmonary MDR-TB. Our preliminary results warrant a larger study.

1. Introduction

Multidrug-resistant tuberculosis (MDR-TB), which is caused by Mycobacterium tuberculosis strains that are resistant to both isoniazid and rifampin, is a large public health threat. The majority of MDR-TB cases have unsatisfactory outcomes; there is a treatment success rate of approximately 60% despite the use of second-line anti-TB drugs for 18–24 months [1,2]. Historically, MDR-TB treatment response is monitored by microbiological examination of sputum-negative culture conversion [3]. However, sputum examinations can be affected by subjective symptoms, difficulty in patient sputum expectoration, monitoring intervals, and microbiology methods [4]. Additionally, the value of sputum examinations for predicting TB relapse is low [5]. Because most MDR-TB patients with therapeutic responses achieve culture conversion within three months after starting treatment, monitoring during the remaining scheduled treatment period using standard clinical or radiological tools is relatively limited [6].
18F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) was originally used to evaluate malignancies. However, this method has been proposed for the diagnosis and monitoring of treatment response of infectious diseases, including TB [7,8]. Sites of active inflammation show intense glucose hypermetabolism, and neutrophils and activated macrophages at infection sites may be responsible for the accumulation of 18F-FDG [9]. For assessment of 18F-FDG uptake, qualitative interpretation by visual inspection and quantitative analysis are used [7]. Standardized uptake value (SUV) is the most commonly used tool for assessing 18F-FDG uptake [7]. Volumetric 18F-FDG uptake measurements such as metabolic volume and lesion glycolysis have been introduced for accurate assessment of 18F-FDG uptake [10]. Metabolic volume is the volume of the lesion with active 18F-FDG uptake, and lesion glycolysis is calculated by multiplying the lesion SUVmean by the metabolic volume, which represents both lesion size and extent of 18F-FDG uptake [10].
Intense glucose hypermetabolism and high 18F-FDG uptake have been observed in patients with TB, and a few previous studies have shown the utility of 18F-FDG PET/CT for determining TB disease activity or evaluating therapeutic response [11,12,13,14]. To date, data are limited on the utility of 18F-FDG PET/CT for assessing treatment response in patients with MDR-TB. All previous studies used qualitative interpretation and SUV measurements, but did not include volumetric 18F-FDG uptake measurements such as metabolic volume and lesion glycolysis. Therefore, the purpose of this prospective preliminary study is to evaluate the role of 18F-FDG PET/CT for assessing treatment response in patients with MDR-TB in the lung.

2. Experimental Section

2.1. Subjects

The subjects were four patients diagnosed with pulmonary MDR-TB from March 2015 to October 2015 at the Samsung Medical Center. Pulmonary MDR-TB was confirmed by sputum culture and drug susceptibility tests in all patients. This prospective study was approved by the Institutional Review Board of our institute (IRB No: 2014-08-113-012), and written informed consent was obtained from all participants.

2.2. 18F-FDG PET/CT

18F-FDG PET/CT images were obtained at the start of the MDR-TB treatment and at 6 and 12 months after second-line MDR-TB treatment. All patients fasted for at least 6 h before PET/CT studies. Their blood glucose level was required to be less than 200 mg/dL. Chest PET and unenhanced CT images were acquired using an integrated PET/CT scanner (Discovery STE, GE Healthcare, Milwaukee, WI, USA). Chest CT images were obtained with shallow breathing using a 16-slice helical CT with 60 to 200 mA adjusted to patient body weight at 120 kVp and a section thickness of 3.3 mm. After CT and 60 min after intravenous injection of 18F-FDG (5.0 MBq/kg), an emission scan was performed from the lower neck to the upper abdomen at 2.5 min per frame intervals in three-dimensional mode. PET images were reconstructed using CT for attenuation correction with an ordered-subsets expectation maximization algorithm (20 subsets, two iterations) and a voxel size of 3.9 × 3.9 × 3.3 mm. SUV was normalized to patient body weight.
Two nuclear physicians unaware of clinical data interpreted all PET/CT findings by consensus. Volume-based assessment by 18F-FDG PET/CT was performed using commercially available medical imaging software (MIM version 6.4, MIM Software Inc., Cleveland, OH, USA). We set the volume of interest over the entire lung to encompass disease involving the whole lung parenchyma, and the software segmented the hypermetabolic parenchymal lesions above the SUV threshold of 2.5 in both lungs. Maximum SUV (SUVmax), average SUV (SUVavg), and metabolic volume of the segmented hypermetabolic parenchymal lesions were measured. Lesion glycolysis of each hypermetabolic parenchymal lesion was acquired as the product of SUVavg and metabolic volume. The highest SUVmax, mean SUVavg (mean of SUVavg from all hypermetabolic parenchymal lesions), total metabolic lung volume (TMLV, sum of metabolic volumes from the hypermetabolic parenchymal lesions), and total lung glycolysis (TLG, sum of lesion glycolysis from the hypermetabolic parenchymal lesions) were determined as representative metabolic PET parameters for each patient.

2.3. MDR-TB Treatment and Clinical Follow-Up

All patients diagnosed with MDR-TB were treated with individualized second-line regimens for 18–24 months, with at least four effective drugs during the 6–8 months of the intensive phase, as per World Health Organization guidelines [15]. If the isolates had additional resistance to fluoroquinolone, linezolid and bedaquiline were added to the treatment regimens. Sputum smear examinations and cultures were performed monthly for the first 6 months and then at 2- to 3-month intervals until the end of treatment. Treatment success was defined as the completion of treatment without evidence of treatment failure and three or more consecutive negative cultures performed at least 30 days apart after the intensive phase [15]. Treatment failure was defined as a lack of conversion by the end of the intensive phase or bacteriological reversion in the continuation phase after the conversion to negative [15].

3. Results

Four patients were included in the study, and three of them were female (Table 1). The age of the study patients ranged from 35 (patient 1) to 61 (patient 4) years. All patients met the definition of MDR-TB, and patients 2 and 3 had MDR-TB with additional resistance to fluoroquinolone. Patients 1 and 2 had positive acid-fast bacilli smear results at diagnosis. Body mass index was highest in patient 4 (25.0 kg/m2) and lowest in patient 2 (15.1 kg/m2). Patient 2 was previously treated for MDR-TB using second line anti-TB drugs for 23 months and underwent pneumonectomy, approximately eight years before study enrollment. Patients 1 and 4 were previously treated for TB lymphadenitis and drug-susceptible pulmonary TB, respectively. Cavitary lung lesions were observed in patients 1–3. Infiltrations suggestive of active pulmonary TB were mainly observed in the upper lobes of patients 2–4, with the involvement of the entire right lung in patient 2. Patient 1 had right lower lobe infiltration. Serum erythrocyte sedimentation rate (ESR) was lowest in patient 4, but there was no notable difference in the baseline characteristics of study patients.
Treatment outcomes for MDR-TB and serial changes of PET/CT parameters are shown in Table 2. All patients were treated with a combination of second-line MDR-TB regimens, such as pyrazinamide, injectable aminoglycosides, fluoroquinolone, prothionamide, cycloserine, para-aminosalicylic acid, or clofazimine. Linezolid and bedaquiline were included in the treatment regimens in patients 2 and 3. Three of the four patients had negative sputum culture conversion after one month of treatment and achieved final treatment success (patients 1, 3, and 4). These three patients showed clinico-radiological improvement, and cavitary lesions in patients 1 and 3 were resolved. The treatment durations of the three patients were 20.1, 21.8, and 19.8 months, respectively. The three successfully treated patients were followed for 17.0, 20.8, and 6.7 months, respectively, after treatment without recurrence. However, patient 2 did not achieve culture conversion despite more than 18.8 months of treatment using five effective second-line MDR-TB drugs. During the study period, ESR levels tended to decrease after 6 months of MDR-TB treatment. However, there was no notable trend of changing of inflammatory markers, except that the baseline ESR level was highest in patient 4 who was successfully treated without recurrence.
The baseline PET/CT scan was examined on the day of starting MDR-TB treatment using a second line anti-TB drug regimen in all study patients. Among baseline PET parameters, both highest SUVmax (range, 4.6–7.8) and mean SUVavg (range, 3.0–4.1) appeared to be similar between patients. On the contrary, wide ranges for both TMLV (4.6–92.3 cm3) and TLG (14.1–307.3 cm3), volume-based PET parameters, were found among the patients. All baseline PET parameters of patients with positive acid-fast bacilli test on the sputum smear (patients 1 and 2) were higher than those of patients with negative acid-fast bacilli tests (patients 3 and 4). Notably, the highest TMLV and TLG parameters were observed in patient 2, who failed culture conversion, compared to the parameters in the three patients with treatment success (Table 2, Figure 1). However, this relationship was not observed at baseline for other SUV-based PET parameters, such as highest SUVmax and mean SUVavg. All quantitative PET parameters, which were obtained at the start of MDR-TB treatment and 6 and 12 months after treatment, decreased from baseline in all four patients. Notably, there were no significant residual hypermetabolic lesions on follow-up PET at 12 months after treatment in patient 2, who failed culture conversion. Consequentially, high baseline TMLV and TLG levels seemed to be associated with treatment failure, and no other PET parameters at baseline or follow-up were associated with treatment failure in our patients.

4. Discussion

In the present study, the most notable finding was that baseline levels of TMLV and TLG in patient 2, the only patient who failed culture conversion, were remarkably higher than those of the other patients with MDR-TB. Moreover, patients 1 and 2, who initially had positive acid-fast bacilli smear results and reflected higher disease burden, had higher baseline levels of TMLV and TLG than patients 3 and 4, who were negative for acid-fast bacilli. These findings suggest that the pretreatment 18F-FDG PET parameters of volume-based TMLV and TLG may be helpful for evaluating disease activity and assessing MDR-TB treatment outcome.
To date, several studies have attempted to predict therapeutic outcomes of TB using various PET parameters [11,12,13,14]. For example, Stelzmueller et al. had evaluated values of 18F-FDG PET/CT at the initial evaluation and during follow-up in 35 patients with pulmonary or extra-pulmonary TB [13]. In their study, however, they had primarily compared abnormal findings in PET and CT images during the follow-up period. Demura et al. had also shown that post-treatment SUV uptake was remarkably decreased in 14 patients with pulmonary mycobacteria disease, which included eight cases of pulmonary TB and six cases of nontuberculous mycobacterial pulmonary disease [11]. However, they had only identified a trend of decreasing SUV values during monitoring, and no associated parameter with treatment failure was evaluated. Chen et al. have identified that quantitative changes in SUV values after 2 months of treatment were associated with the outcomes of 28 MDR-TB cases, including four patients with treatment failure [16]. However, the trend of decreasing SUV values after 2 months of treatment observed in failed patients was similar in successfully treated patients. Most notably, the aforementioned previous studies had not evaluated volume-based 18F-FDG uptake measurements, such as TMLV and TLG, to assess MDR-TB treatment response. Thus, in these contexts, our data highlight the importance of baseline PET parameters, such as TMLV or TLG, that reflect the metabolism of entire lesions, rather than SUV values or follow-up PET parameters, especially for assessing MDR-TB treatment outcomes.
Another notable finding in our data was that all PET parameters such as SUV, TMLV, and TLG consistently decreased in all MDR-TB patients within 12 months of treatment, even in the patient who failed culture conversion. These results suggest that it may be difficult to assess the treatment response based only on the decreasing PET parameters. A potential explanation for this phenomenon is that 18F-FDG uptake reflects the metabolic activity of secondary inflammatory cells rather than the actual microbial burden of TB. Although the metabolic activity of secondary inflammatory cells may be correlated with the actual microbial burden of TB before treatment, our findings suggest that secondary lung inflammation could be improved in accordance with decreasing bacterial burden after antibiotic therapy, irrespective of complete eradication of the TB bacilli.
There were several limitations in this study. First, the major limitation of our study is the small sample size, including only four patients, which limits the statistical power of our data for a definite conclusion. In addition, only one of four patients failed treatment. Second, the baseline characteristics of the patients might be the confounding factors for our results. However, we could not find and correct the potential confounding effects due to the small number of subjects. Therefore, our preliminary findings should be tested on the larger numbers of MDR-TB patients for generalizability.

5. Conclusions

The present study suggests that pretreatment volume-based 18F-FDG PET/CT lung parameters may be useful for evaluating disease activity and assessing therapeutic response in patients with MDR-TB in the lung. Interim 18F-FDG PET/CT does not seem to be necessary for assessing the final therapeutic response. Our preliminary results warrant further larger-sized studies.

6. Ethics Approval and Consent to Participate

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standards. The Institutional Review Board of Samsung Medical Center is the local ethics committee that reviewed and approved the protocol. Informed consent was obtained from all individual participants included in the study.

Author Contributions

J.Y.C. study design, data collection, analysis, and manuscript preparation. B.W.J. study design, data analysis, and manuscript preparation. S.H.H. data collection and analysis. M.J.C. study design and data collection. W.-J.K. study design, data collection, analysis, and manuscript preparation. All authors read and approved the final manuscript.

Funding

This study was supported by a Samsung Medical Center grant (OTC1700031). The sponsors had no role in the study design, data collection, analysis, or manuscript preparation.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Davies, P.D.; Yew, W.W.; Ganguly, D.; Davidow, A.L.; Reichman, L.B.; Dheda, K.; Rook, G.A. Smoking and tuberculosis: The epidemiological association and immunopathogenesis. Trans. R. Soc. Trop. Med. Hyg. 2006, 100, 291–298. [Google Scholar] [CrossRef] [PubMed]
  2. Ahuja, S.D.; Ashkin, D.; Avendano, M.; Banerjee, R.; Bauer, M.; Bayona, J.N.; Becerra, M.C.; Benedetti, A.; Burgos, M.; Centis, R.; et al. Multidrug resistant pulmonary tuberculosis treatment regimens and patient outcomes: An individual patient data meta-analysis of 9,153 patients. PLoS Med. 2012, 9, e1001300. [Google Scholar] [CrossRef]
  3. Lange, C.; Abubakar, I.; Alffenaar, J.W.; Bothamley, G.; Caminero, J.A.; Carvalho, A.C.; Chang, K.C.; Codecasa, L.; Correia, A.; Crudu, V.; et al. Management of patients with multidrug-resistant/extensively drug-resistant tuberculosis in Europe: A TBNET consensus statement. Eur. Respir. J. 2014, 44, 23–63. [Google Scholar] [CrossRef] [PubMed]
  4. Mitnick, C.D.; White, R.A.; Lu, C.; Rodriguez, C.A.; Bayona, J.; Becerra, M.C.; Burgos, M.; Centis, R.; Cohen, T.; Cox, H.; et al. Multidrug-resistant tuberculosis treatment failure detection depends on monitoring interval and microbiological method. Eur. Respir. J. 2016, 48, 1160–1170. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  5. Horne, D.J.; Royce, S.E.; Gooze, L.; Narita, M.; Hopewell, P.C.; Nahid, P.; Steingart, K.R. Sputum monitoring during tuberculosis treatment for predicting outcome: Systematic review and meta-analysis. Lancet Infect. Dis. 2010, 10, 387–394. [Google Scholar] [CrossRef]
  6. Holtz, T.H.; Sternberg, M.; Kammerer, S.; Laserson, K.F.; Riekstina, V.; Zarovska, E.; Skripconoka, V.; Wells, C.D.; Leimane, V. Time to sputum culture conversion in multidrug-resistant tuberculosis: Predictors and relationship to treatment outcome. Ann. Intern. Med. 2006, 144, 650–659. [Google Scholar] [CrossRef] [PubMed]
  7. Capitanio, S.; Nordin, A.J.; Noraini, A.R.; Rossetti, C. PET/CT in nononcological lung diseases: Current applications and future perspectives. Eur. Respir. Rev. 2016, 25, 247–258. [Google Scholar] [CrossRef] [PubMed]
  8. Ankrah, A.O.; van der Werf, T.S.; de Vries, E.F.; Dierckx, R.A.; Sathekge, M.M.; Glaudemans, A.W. PET/CT imaging of Mycobacterium tuberculosis infection. Clin. Transl. Imaging 2016, 4, 131–144. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  9. Kubota, R.; Kubota, K.; Yamada, S.; Tada, M.; Ido, T.; Tamahashi, N. Microautoradiographic study for the differentiation of intratumoral macrophages, granulation tissues and cancer cells by the dynamics of fluorine-18-fluorodeoxyglucose uptake. J. Nucl. Med. 1994, 35, 104–112. [Google Scholar] [PubMed]
  10. Ziai, P.; Hayeri, M.R.; Salei, A.; Salavati, A.; Houshmand, S.; Alavi, A.; Teytelboym, O.M. Role of optimal quantification of FDG PET imaging in the clinical practice of radiology. Radiographics 2016, 36, 481–496. [Google Scholar] [CrossRef] [PubMed]
  11. Demura, Y.; Tsuchida, T.; Uesaka, D.; Umeda, Y.; Morikawa, M.; Ameshima, S.; Ishizaki, T.; Fujibayashi, Y.; Okazawa, H. Usefulness of 18F-fluorodeoxyglucose positron emission tomography for diagnosing disease activity and monitoring therapeutic response in patients with pulmonary mycobacteriosis. Eur. J. Nucl. Med. Mol. Imaging 2009, 36, 632–639. [Google Scholar] [CrossRef] [PubMed]
  12. Coleman, M.T.; Chen, R.Y.; Lee, M.; Lin, P.L.; Dodd, L.E.; Maiello, P.; Via, L.E.; Kim, Y.; Marriner, G.; Dartois, V.; et al. PET/CT imaging reveals a therapeutic response to oxazolidinones in macaques and humans with tuberculosis. Sci. Transl. Med. 2014, 6, 265ra167. [Google Scholar] [CrossRef] [PubMed]
  13. Stelzmueller, I.; Huber, H.; Wunn, R.; Hodolic, M.; Mandl, M.; Lamprecht, B.; Schinko, H.; Fellner, F.; Skanjeti, A.; Giammarile, F.; et al. 18F-FDG PET/CT in the initial assessment and for follow-up in patients with tuberculosis. Clin. Nucl. Med. 2016, 41, e187–e194. [Google Scholar] [CrossRef] [PubMed]
  14. Malherbe, S.T.; Shenai, S.; Ronacher, K.; Loxton, A.G.; Dolganov, G.; Kriel, M.; Van, T.; Chen, R.Y.; Warwick, J.; Via, L.E.; et al. Persisting positron emission tomography lesion activity and Mycobacterium tuberculosis mRNA after tuberculosis cure. Nat. Med. 2016, 22, 1094–1100. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. World Health Organization. Companion Handbook to the WHO Guidelines for the Programmatic Management of Drug-Resistant Tuberculosis; World Health Organization: Geneva, Switzerland, 2014. [Google Scholar]
  16. Chen, R.Y.; Dodd, L.E.; Lee, M.; Paripati, P.; Hammoud, D.A.; Mountz, J.M.; Jeon, D.; Zia, N.; Zahiri, H.; Coleman, M.T.; et al. PET/CT imaging correlates with treatment outcome in patients with multidrug-resistant tuberculosis. Sci. Transl. Med. 2014, 6, 265ra166. [Google Scholar] [CrossRef] [PubMed]
Figure 1. PET/CT images of lungs from two MDR-TB patients. Baseline (left column) and 12 months follow-up (right column) maximum-intensity projection and transverse fusion PET/CT images of patient 2 (A) and patient 4 (B). (A) Images of patient 2 show multiple hypermetabolic lesions in the right lung at baseline that disappeared in follow-up images despite persistent disease. (B) Images of patient 4 show multiple hypermetabolic lesions in the right lung at baseline that improved but were persistent in follow-up images irrespective of negative culture conversion and treatment success. Total metabolic lung volume (92.3 cm3) and total lung glycolysis (307.3 cm3) in patient 2 using a baseline PET/CT were much higher than for patient 4 (4.6 cm3 and 14.1 cm3, respectively).
Figure 1. PET/CT images of lungs from two MDR-TB patients. Baseline (left column) and 12 months follow-up (right column) maximum-intensity projection and transverse fusion PET/CT images of patient 2 (A) and patient 4 (B). (A) Images of patient 2 show multiple hypermetabolic lesions in the right lung at baseline that disappeared in follow-up images despite persistent disease. (B) Images of patient 4 show multiple hypermetabolic lesions in the right lung at baseline that improved but were persistent in follow-up images irrespective of negative culture conversion and treatment success. Total metabolic lung volume (92.3 cm3) and total lung glycolysis (307.3 cm3) in patient 2 using a baseline PET/CT were much higher than for patient 4 (4.6 cm3 and 14.1 cm3, respectively).
Jcm 07 00559 g001aJcm 07 00559 g001b
Table 1. Baseline characteristics of patients at diagnosis of multidrug-resistant tuberculosis (MDR-TB).
Table 1. Baseline characteristics of patients at diagnosis of multidrug-resistant tuberculosis (MDR-TB).
CharacteristicsPatient No.
1234
Age, years35594261
SexFemaleFemaleFemaleMale
AFB smear2+2+--
Body mass index, kg/m220.615.124.125.0
Previous history of TBTB LNMDR-TB-DS-TB
Time from treatment completion of previous TB to inclusion of current study13 years8 years-30 years
Duration of previous TB treatment9 months23 months-NA
Regimens of previous TB treatment1st line anti-TB drugsEMB PZA KM MFX PTO CS PAS-1st line anti-TB drugs
Previous lung surgery-pneumonectomy--
Time from starting MDR-TB treatment to PET/CT scan0 day0 day0 day0 day
Cavity size12 mm 17 mm31 mm-
WBC count, 103/uL4510735057204840
ESR, mm/hr21661488
CRP, mg/dL0.110.080.060.28
Albumin, g/dL4.34.64.34.0
AFB, acid-fast bacilli; MDR, multidrug resistant; TB, tuberculosis; LN, lymphadenitis; DS, drug susceptible; EMB, ethambutol; PZA, pyrazinamide; KM, kanamycin; MFX, moxifloxacin; PTO, prothionamide; CS, cycloserine; PAS, para-aminosalicylic acid; PET/CT, positron emission tomography/computed tomography; WBC, white blood cell; ESR, erythrocyte sedimentation rate; CRP, C-reactive protein; NA, not available.
Table 2. Treatment outcomes for MDR-TB and serial changes of positron emission tomography/computed tomography (PET/CT) parameters.
Table 2. Treatment outcomes for MDR-TB and serial changes of positron emission tomography/computed tomography (PET/CT) parameters.
Patient No.Drug ResistanceTreatment RegimensOutcomePET/CTHighest SUVmaxMean SUVavgTMLV (cm3)TLG (cm3)
1INH, RFP, EMB, PASPZA, KM, MFX, PTO, CSSuccessBaseline7.84.131.4129.8
6 mo4.83.12.06.1
12 mo2.3NANANA
2INH, RFP, FQ, EMB, PASKM, PTO, CS, LZD, BDQ, CFZFailureBaseline6.63.392.3307.3
6 mo3.42.90.41.3
12 moNVNANANA
3INH, RFP, FQ, EMBEMB, KM, PTO, CS, LZD, BDQSuccessBaseline5.43.111.034.3
6 mo4.63.02.05.9
12 mo2.3NANANA
4INH, RFP, EMB, PASPZA, KM, MFX, PTO, CSSuccessBaseline4.63.04.614.1
6 mo5.63.66.322.7
12 mo4.73.33.712.2
Abbreviations: MDR-TB, multidrug-resistant tuberculosis; AFB, acid-fast bacilli; INH, isoniazid; EMB, ethambutol; RFP, rifampin; FQ, fluoroquinolone; PZA, pyrazinamide; KM, kanamycin; MFX, moxifloxacin; PTO, prothionamide; CS, cycloserine; PAS, para-aminosalicylic acid; LZD, linezolid; BDQ, bedaquiline; CFZ, clofazimine; PET/CT, positron emission tomography/computed tomography; SUV, standardized uptake value; TMLV, total metabolic lung volume; TLG, total lung glycolysis; NA, not applicable; NV, non-visualized; mo: month.

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MDPI and ACS Style

Choi, J.Y.; Jhun, B.W.; Hyun, S.H.; Chung, M.J.; Koh, W.-J. 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Assessing Treatment Response of Pulmonary Multidrug-Resistant Tuberculosis. J. Clin. Med. 2018, 7, 559. https://doi.org/10.3390/jcm7120559

AMA Style

Choi JY, Jhun BW, Hyun SH, Chung MJ, Koh W-J. 18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Assessing Treatment Response of Pulmonary Multidrug-Resistant Tuberculosis. Journal of Clinical Medicine. 2018; 7(12):559. https://doi.org/10.3390/jcm7120559

Chicago/Turabian Style

Choi, Joon Young, Byung Woo Jhun, Seung Hyup Hyun, Myung Jin Chung, and Won-Jung Koh. 2018. "18F-Fluorodeoxyglucose Positron Emission Tomography/Computed Tomography for Assessing Treatment Response of Pulmonary Multidrug-Resistant Tuberculosis" Journal of Clinical Medicine 7, no. 12: 559. https://doi.org/10.3390/jcm7120559

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