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Research ArticleClinical Investigations

The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer

Peter S.N. van Rossum, David V. Fried, Lifei Zhang, Wayne L. Hofstetter, Marco van Vulpen, Gert J. Meijer, Laurence E. Court and Steven H. Lin
Journal of Nuclear Medicine May 2016, 57 (5) 691-700; DOI: https://doi.org/10.2967/jnumed.115.163766
Peter S.N. van Rossum
1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
2Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
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David V. Fried
3Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
4The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, Texas; and
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Lifei Zhang
3Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Wayne L. Hofstetter
5Department of Thoracic and Cardiovascular Surgery, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Marco van Vulpen
2Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
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Gert J. Meijer
2Department of Radiation Oncology, University Medical Center Utrecht, Utrecht, The Netherlands
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Laurence E. Court
3Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, Texas
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Steven H. Lin
1Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, Texas
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  • FIGURE 1.
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    FIGURE 1.

    Examples of representative transverse slices of 18F-FDG PET scans before and after chemoradiotherapy in patient with no pathCR (i.e., non-pathCR) and in patient with a pathCR. These patients initially had comparable tumor volume, TLG, and local tumor texture (as expressed by intensity cooccurrence matrix [ICM] entropy metric). However, in the complete responder, ∆ICM entropy metric decreased and posttreatment TLG was markedly lower (underlined), which represent 2 of the important predictors in models 3 and 4. Histograms illustrate 3-dimensional 18F-FDG uptake within volumes of interest.

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    FIGURE 2.

    Receiver-operating-characteristic curve analysis of the 4 models indicating their ability to discriminate between pathCR and non-pathCR patients.

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    FIGURE 3.

    (A–D) Calibration plots of the 4 models demonstrating agreement between predicted probability of pathCR by model and observed incidence.

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    FIGURE 4.

    Decision curves graphically representing net benefit (y-axis) for the 4 models at a range of decision thresholds (i.e., minimum probabilities of pathCR at which one would be willing to change clinical decision making; x-axis). The black and gray solid lines represent making same decision in all patients (i.e., omitting surgery in none or in all of the patients, respectively).

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    TABLE 1

    Clinical Baseline and Treatment-Related Characteristics

    CharacteristicPathCR (n = 59)No pathCR (n = 158)P
    Male sex54 (91.5)148 (93.7)0.558
    Age (y)†58.8 ± 12.360.1 ± 9.90.440
    Body mass index (kg/m2)†29.5 ± 5.329.8 ± 5.20.632
    Hypertension29 (49.2)90 (57.0)0.304
    Cardiac comorbidity14 (23.7)24 (15.2)0.141
    Diabetes mellitus12 (20.3)31 (19.6)0.906
    Chronic obstructive pulmonary disease4 (6.8)8 (5.1)0.739
    Smoking13 (22.0)38 (24.1)0.755
    Karnofsky performance status†86.4 ± 6.985.5 ± 6.60.362
    Tumor location0.324
     Middle third of esophagus2 (3.4)1 (0.6)
     Distal third of esophagus52 (88.1)143 (90.5)
     Gastroesophageal junction5 (8.5)14 (8.9)
    EUS-based tumor length (cm)†5.0 ± 2.45.9 ± 2.70.034*
    Histologic differentiation grade0.055
     Moderate34 (57.6)68 (43.0)
     Poor25 (42.4)90 (57.0)
    Signet ring cell adenocarcinoma5 (8.5)30 (19.0)0.061
    Clinical T stage0.006*
     cT214 (23.7)15 (9.5)
     cT345 (76.3)143 (90.5)
    Clinical N stage0.450
     cN018 (30.5)58 (36.7)
     cN+39 (66.1)98 (62.0)
     Missing2 (3.4)2 (1.3)
    Induction chemotherapy28 (47.5)50 (31.6)0.031*
    Total radiation dose (Gy)0.466
     45.04 (6.8)6 (3.8)
     50.455 (93.2)152 (96.2)
    Radiation treatment modality0.405
     3-dimensional conformal radiation therapy1 (1.7)1 (0.6)
     Intensity-modulated radiotherapy38 (64.4)111 (70.3)
     Proton therapy20 (33.9)46 (29.1)
    Chemotherapy regimen0.940
     Oxaliplatin/5-fluorouracil25 (42.4)64 (40.5)
     Docetaxel/5-fluorouracil25 (42.4)67 (42.4)
     Other9 (15.3)27 (17.1)
    Postchemoradiation endoscopic biopsy0.023*
     No residual cancer55 (93.2)126 (79.7)
     Residual cancer4 (6.8)32 (20.3)
    Days from completion chemoradiotherapy to surgery†61.5 ± 20.458.3 ± 19.30.285
    Year of patient accrual0.072
     2006–200710 (16.9)47 (29.7)
     2008–201026 (44.1)63 (39.9)
     2011–201323 (39.0)48 (30.4)
    • ↵* Significant difference between pathCR group and pathologic noncomplete response group (P < 0.05).

    • ↵† Expressed as mean ± SD.

    • Data are numbers, with percentages in parentheses.

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    TABLE 2

    Univariable Analysis of Subjective and Conventional Quantitative Assessment of 18F-FDG PET for Predicting pathCR

    Univariable analysis
    CharacteristicnOdds ratio95% confidence intervalP
    Subjective assessment 18F-FDG PET0.001*
     Clinical complete response601.0 (ref)
     No clinical complete response1570.300.15–0.59
    Baseline SUVmax (log)2170.630.37–1.070.087
    Baseline SUVmean (log)2170.600.32–1.130.112
    Baseline MTV (log)2170.850.57–1.260.408
    Baseline TLG (log)2170.820.61–1.100.181
    Postchemoradiation SUVmax (log)2170.320.13–0.800.015*
    Postchemoradiation SUVmean (log)2170.640.22–1.890.420
    Postchemoradiation MTV (log)2170.340.21–0.53<0.001*
    Postchemoradiation TLG (log)2170.410.28–0.61<0.001*
    ∆SUVmax (%)2171.000.99–1.010.701
    ∆SUVmean (%)2171.011.00–1.020.146
    ∆MTV(%)2171.000.99–1.000.142
    ∆TLG (%)2171.000.99–1.000.301
    • ↵* Significant difference between pathCR group and pathologic noncomplete response group (P < 0.05).

    • ref = reference; ∆ = relative change between baseline and postchemoradiation 18F-FDG PET scans.

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    TABLE 3

    Finalized Prediction Models for pathCR Using Multivariable Logistic Regression Analysis with Stepwise Backward Elimination

    Model 1Model 2Model 3Model 4
    CharacteristicOdds ratio (95% confidence interval)POdds ratio (95% confidence interval)POdds ratio (95% confidence interval)POdds ratio (95% confidence interval)P
    EUS-based tumor  length (log)0.48 (0.24–0.95)0.034*0.50 (0.24–1.01)0.0540.55 (0.57–1.14)0.1070.46 (0.19–1.11)0.085
    Clinical T stage0.0770.046*0.1850.239
     cT21.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
     cT30.45 (0.19–1.09)0.39 (0.15–0.98)0.53 (0.20–1.36)0.54 (0.19–1.51)
    Induction chemotherapy0.008*0.012*0.022*0.008*
     No1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
     Yes2.44 (1.26–4.74)2.40 (1.21–4.77)2.26 (1.12–4.54)2.80 (1.31–5.98)
    Postchemoradiotherapy  endoscopic biopsy0.035*0.047*0.0570.073
     No residual cancer1.0 (ref)1.0 (ref)1.0 (ref)1.0 (ref)
     Residual cancer0.30 (0.10–0.92)0.32 (0.10–0.98)0.32 (0.10–1.04)0.31 (0.08–1.12)
    Subjective assessment  18F-FDG PETNot entered—0.001*0.043*0.113
     Clinical complete  response1.0 (ref)1.0 (ref)1.0 (ref)
     No clinical complete  response0.30 (0.15–0.59)0.45 (0.21–0.98)0.52 (0.23–1.17)
    Postchemoradiotherapy  TLG (log)Not entered—Not entered—0.57 (0.37–0.88)0.011*0.76 (0.41–1.39)0.370
    Baseline cluster shade  (log)Not entered—Not entered—Not entered—0.19 (0.03–1.03)0.054
    ∆run percentageNot entered—Not entered—Not entered—1.07 (1.02–1.11)0.004*
    ∆ICM entropyNot entered—Not entered—Not entered—0.97 (0.94–0.99)0.044*
    Postchemoradiotherapy  roundness (log)Not entered—Not entered—Not entered—0.10 (0.03–0.42)0.001*
    • Entered variables that were eliminated based on redundancy were year of patient accrual, histologic differentiation grade, and signet ring cell adenocarcinoma (model 1); baseline SUVmax and ∆MTV (model 3); and baseline maximum probability (log), ∆busyness, ∆cumulative histogram, postchemoradiation skewness, and postchemoradiation long-run high-intensity emphasis (log) (model 4).

    • ref = reference; ICM = intensity cooccurrence matrix.

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    TABLE 4

    Estimates of Model Performance for 4 Prediction Models

    Discrimination
    Model noModel typeApparent c-indexCorrected c-index*
    1Clinical model0.71 (0.64–0.79)0.67 (0.60–0.75)
    2+ Subjective assessment 18F-FDG PET0.75 (0.68–0.82)0.72 (0.65–0.79)
    3+ Conventional 18F-FDG PET features0.77 (0.70–0.84)0.73 (0.66–0.80)
    4+ Comprehensive 18F-FDG PET features0.82 (0.75–0.88)0.77 (0.70–0.83)
    • ↵* Correction after internal validation for both optimism and bias from predictor selection process.

    • Data in parentheses are 95% confidence intervals.

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    TABLE 5

    Overview of Studies on 18F-FDG PET Texture Analysis in Esophageal Cancer for Treatment Response Assessment

    Study, yearnTumor typeTumor stagesTiming of 18F-FDG PETOutcome associated with tumor texture
    Tixier et al., 2011 (34)*41Adenocarcinoma, squamous cell carcinomaI–IVPrechemoradiotherapyClinical response (according to RECIST)
    Hatt et al. 2013 (29)*50Adenocarcinoma, squamous cell carcinomaI–IVPrechemoradiotherapyClinical response (according to RECIST)
    Tan et al., 2013 (38)†20Adenocarcinoma, squamous cell carcinomaII–IIIPre- and postchemoradiotherapyPathologic response (TRG 1 + 2 vs. 3 + 4)
    Zhang et al., 2014 (39)†20Adenocarcinoma, squamous cell carcinomaII–IIIPre- and postchemoradiotherapyPathologic response (TRG 1 + 2 vs. 3 + 4)
    Current study217AdenocarcinomaII–IIIPre- and postchemoradiotherapypathCR (TRG 1 vs. 2–4)
    • ↵* Significant overlap of study populations.

    • ↵† Complete overlap of study populations.

    • TRG according to Chirieac et al. (2).

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Journal of Nuclear Medicine: 57 (5)
Journal of Nuclear Medicine
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May 1, 2016
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The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer
Peter S.N. van Rossum, David V. Fried, Lifei Zhang, Wayne L. Hofstetter, Marco van Vulpen, Gert J. Meijer, Laurence E. Court, Steven H. Lin
Journal of Nuclear Medicine May 2016, 57 (5) 691-700; DOI: 10.2967/jnumed.115.163766

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The Incremental Value of Subjective and Quantitative Assessment of 18F-FDG PET for the Prediction of Pathologic Complete Response to Preoperative Chemoradiotherapy in Esophageal Cancer
Peter S.N. van Rossum, David V. Fried, Lifei Zhang, Wayne L. Hofstetter, Marco van Vulpen, Gert J. Meijer, Laurence E. Court, Steven H. Lin
Journal of Nuclear Medicine May 2016, 57 (5) 691-700; DOI: 10.2967/jnumed.115.163766
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