Skip to content
Triangle logo TriangleGet started
← Full study record

NCT01507428 · OUTCOME

SUVmax at Baseline Prediction of OS and Optimal Threshold (ECOG-ACRIN)

Positron Emission Tomography and Computed Tomography in Guiding Radiation Therapy for Stage III Non-small Cell Lung Cancer · Source last updated 2026-04-21

Results reported by the registry submitting party. Population, time horizon, units and missing values must be read together.

Measure
MEAN
Unit
SUV
Interval / dispersion
Standard Deviation
Time frame
Baseline to up to 5 years

What was measured

FDG SUVmax as measured at baseline PET imaging will be assessed in its ability to predict Overall Survival (OS) at year 5.

Analysis population: Responders and non-responders are placed in separate rows. Number analyzed represents the denominator for the estimated value sum of rows = Overall Number of Participants Analyzed

Groups in this outcome

Both Arms

Patients undergo chemoradiotherapy as defined for the arm of the study to which they were randomized. 18F-Fluoromisonidazole: Undergo FMISO PET/CT prior to therapy for patients enrolling at institutions participating in the FMISO correlative study

Arm I (Standard Chemoradiotherapy)

Patients undergo standard radiotherapy QD 5 days a week for 30 fractions. Patients also receive paclitaxel IV over 1 hour and carboplatin IV over 30 minutes once weekly for 6 weeks. Patients undergo FMISO-PET imaging at baseline 18F-Fluoromisonidazole: Undergo FMISO PET/CT prior to therapy for patients enrolling at institutions participating in the FMISO correlative study Carboplatin: Given IV External Beam Radiation Therapy: Undergo radiotherapy

Arm II (Experimental Chemoradiotherapy)

Patients undergo an individualized dose of image-guided radiotherapy QD 5 days a week for 30 fractions and undergo 18 F FDG-PET/CT between fractions 18 and 19. Based on the scan results, patients undergo individualized adaptive radiotherapy for the final 9 fractions. Patients also receive paclitaxel and carboplatin as in Arm I. 18F-Fluoromisonidazole: Participants enrolled at institutions participating in the FMISO correlative study undergo FMISO-PET prior to treatment Carboplatin: Given IV Computed Tomography: Undergo FDG PET/CT Computed Tomography: Undergo FMISO PET/CT (Correlative studies) Fludeoxyglucose F-18: Undergo FDG PET/CT Image-Guided Adaptive Radiation Therapy: Undergo individualized adaptive radiotherapy Laboratory Biomarker Analysis: Correlative studies Paclitaxel: Given IV Positron Emission Tomography: Undergo FDG PET/CT Positron Emission Tomography: Undergo FMISO PET/CT (Correlative studies)

Group identifiers and denominators belong to this outcome only. They may differ in another outcome or in safety reporting.

Analysis denominator · Participants

GroupSource count
Both Arms114
Arm I (Standard Chemoradiotherapy)40
Arm II (Experimental Chemoradiotherapy)74

Reported measurements

Alive

Analysis denominator · Participants

GroupSource count
Both Arms40
Arm I (Standard Chemoradiotherapy)15
Arm II (Experimental Chemoradiotherapy)25
Values in SUV · Interval/dispersion: Standard Deviation
GroupValueSpreadLowerUpperComment
Both Arms19.859.36Not reportedNot reportedNot reported
Arm I (Standard Chemoradiotherapy)21.007.34Not reportedNot reportedNot reported
Arm II (Experimental Chemoradiotherapy)19.1610.47Not reportedNot reportedNot reported
Event (death)

Analysis denominator · Participants

GroupSource count
Both Arms74
Arm I (Standard Chemoradiotherapy)25
Arm II (Experimental Chemoradiotherapy)49
Values in SUV · Interval/dispersion: Standard Deviation
GroupValueSpreadLowerUpperComment
Both Arms17.668.89Not reportedNot reportedNot reported
Arm I (Standard Chemoradiotherapy)14.788.14Not reportedNot reportedNot reported
Arm II (Experimental Chemoradiotherapy)19.128.97Not reportedNot reportedNot reported

Source statistical analyses

Group order, estimate direction, methods and comments are retained. No treatment ranking is inferred.

  1. ci Lower Limit
    0.4690
    ci Num Sides
    TWO_SIDED
    ci Pct Value
    95
    ci Upper Limit
    0.6962
    group Description
    Accuracy of SUVmax at Baseline to Predict OS at year 5 as measured by the Area under the ROC curve (AUC/c-statistic) and Optimal Threshold separating responders and non-responders as measured by the Youden index
    group Ids
    1. OG000
    non Inferiority Comment
    The AUC/C-statistic is a measure of discrimination
    non Inferiority Type
    OTHER
    param Type
    AUC
    param Value
    0.5826
  2. ci Num Sides
    TWO_SIDED
    group Description
    Maximum Youden index
    group Ids
    1. OG000
    non Inferiority Comment
    Maximum Youden index is the point value corresponding to the optimum threshold for distributional separation.
    non Inferiority Type
    OTHER
    param Type
    Youdin index
    param Value
    0.2162
  3. ci Num Sides
    TWO_SIDED
    group Description
    the optimal SUVmax threshold for discriminating Positive and Negative cases as determined by the value having the maximum Youden index
    group Ids
    1. OG000
    non Inferiority Comment
    SUVmax @ Max(Youden index)
    non Inferiority Type
    OTHER
    param Type
    optimal SUVmax threshold
    param Value
    20.85
  4. ci Lower Limit
    .5668
    ci Num Sides
    TWO_SIDED
    ci Pct Value
    95
    ci Upper Limit
    0.9159
    group Description
    Accuracy of SUVmax at Baseline to Predict OS at year 5 in the Standard Therapy Arm as measured by the Area Under the ROC Curve (AUC/c-statistic) and the Optimal Threshold (cut-point) for separating responders and non-responders as measured by the Youden index
    group Ids
    1. OG001
    non Inferiority Comment
    The AUC/C-statistic is a measure of discrimination between responders and non-responders
    non Inferiority Type
    OTHER
    other Analysis Description
    The optimal threshold for discriminating Positive and Negative cases in the Standard Therapy Arm occurs when baseline SUVmax = 18.27 corresponding to a Youden index (max( sensitivity + specificity-1)) of 0.5333
    param Type
    AUC
    param Value
    0.7413
  5. ci Num Sides
    TWO_SIDED
    group Description
    Maximum Youden index
    group Ids
    1. OG001
    non Inferiority Comment
    Maximum Youden index is the point value corresponding to the optimum threshold for distributional separation
    non Inferiority Type
    OTHER
    param Type
    [Youdin index
    param Value
    0.5333
  6. ci Num Sides
    TWO_SIDED
    group Description
    the optimal SUVmax threshold for discriminating Positive and Negative cases as determined by the value having the maximum Youden index
    group Ids
    1. OG001
    non Inferiority Comment
    SUVmax @ Max(Youden index)
    non Inferiority Type
    OTHER
    param Type
    optimal SUVmax threshold
    param Value
    18.27
  7. ci Lower Limit
    0.3227
    ci Num Sides
    TWO_SIDED
    ci Pct Value
    95
    ci Upper Limit
    0.6218
    group Description
    Accuracy of SUVmax at Baseline to Predict OS at year 5 in the Experimental Chemoradiotherapy Arm as measured by the Area Under the ROC Curve (AUC/c-statistic) and the Optimal Threshold (cut-point) for separating responders and non-responders as measured by the Youden index
    group Ids
    1. OG002
    non Inferiority Comment
    The AUC/C-statistic is a measure of discrimination between responders and non-responders
    non Inferiority Type
    OTHER
    other Analysis Description
    The optimal threshold for discriminating Positive and Negative cases in the Standard Therapy Arm occurs when baseline SUVmax = 20.85 corresponding to a Youden index (max( sensitivity + specificity-1)) of 0.0931
    param Type
    AUC
    param Value
    0.4722
  8. ci Num Sides
    TWO_SIDED
    group Description
    Maximum Youden index
    group Ids
    1. OG002
    non Inferiority Comment
    Maximum Youden index is the point value corresponding to the optimum threshold for distributional separation.
    non Inferiority Type
    OTHER
    param Type
    Youdin index
    param Value
    0.0931
  9. ci Num Sides
    TWO_SIDED
    group Description
    the optimal SUVmax threshold for discriminating Positive and Negative cases as determined by the value having the maximum Youden index
    group Ids
    1. OG002
    non Inferiority Comment
    SUVmax @ Max(Youden index)
    non Inferiority Type
    OTHER
    param Type
    optimal SUVmax threshold
    param Value
    20.85
Complete source fields
analyses
  1. ci Lower Limit
    0.4690
    ci Num Sides
    TWO_SIDED
    ci Pct Value
    95
    ci Upper Limit
    0.6962
    group Description
    Accuracy of SUVmax at Baseline to Predict OS at year 5 as measured by the Area under the ROC curve (AUC/c-statistic) and Optimal Threshold separating responders and non-responders as measured by the Youden index
    group Ids
    1. OG000
    non Inferiority Comment
    The AUC/C-statistic is a measure of discrimination
    non Inferiority Type
    OTHER
    param Type
    AUC
    param Value
    0.5826
  2. ci Num Sides
    TWO_SIDED
    group Description
    Maximum Youden index
    group Ids
    1. OG000
    non Inferiority Comment
    Maximum Youden index is the point value corresponding to the optimum threshold for distributional separation.
    non Inferiority Type
    OTHER
    param Type
    Youdin index
    param Value
    0.2162
  3. ci Num Sides
    TWO_SIDED
    group Description
    the optimal SUVmax threshold for discriminating Positive and Negative cases as determined by the value having the maximum Youden index
    group Ids
    1. OG000
    non Inferiority Comment
    SUVmax @ Max(Youden index)
    non Inferiority Type
    OTHER
    param Type
    optimal SUVmax threshold
    param Value
    20.85
  4. ci Lower Limit
    .5668
    ci Num Sides
    TWO_SIDED
    ci Pct Value
    95
    ci Upper Limit
    0.9159
    group Description
    Accuracy of SUVmax at Baseline to Predict OS at year 5 in the Standard Therapy Arm as measured by the Area Under the ROC Curve (AUC/c-statistic) and the Optimal Threshold (cut-point) for separating responders and non-responders as measured by the Youden index
    group Ids
    1. OG001
    non Inferiority Comment
    The AUC/C-statistic is a measure of discrimination between responders and non-responders
    non Inferiority Type
    OTHER
    other Analysis Description
    The optimal threshold for discriminating Positive and Negative cases in the Standard Therapy Arm occurs when baseline SUVmax = 18.27 corresponding to a Youden index (max( sensitivity + specificity-1)) of 0.5333
    param Type
    AUC
    param Value
    0.7413
  5. ci Num Sides
    TWO_SIDED
    group Description
    Maximum Youden index
    group Ids
    1. OG001
    non Inferiority Comment
    Maximum Youden index is the point value corresponding to the optimum threshold for distributional separation
    non Inferiority Type
    OTHER
    param Type
    [Youdin index
    param Value
    0.5333
  6. ci Num Sides
    TWO_SIDED
    group Description
    the optimal SUVmax threshold for discriminating Positive and Negative cases as determined by the value having the maximum Youden index
    group Ids
    1. OG001
    non Inferiority Comment
    SUVmax @ Max(Youden index)
    non Inferiority Type
    OTHER
    param Type
    optimal SUVmax threshold
    param Value
    18.27
  7. ci Lower Limit
    0.3227
    ci Num Sides
    TWO_SIDED
    ci Pct Value
    95
    ci Upper Limit
    0.6218
    group Description
    Accuracy of SUVmax at Baseline to Predict OS at year 5 in the Experimental Chemoradiotherapy Arm as measured by the Area Under the ROC Curve (AUC/c-statistic) and the Optimal Threshold (cut-point) for separating responders and non-responders as measured by the Youden index
    group Ids
    1. OG002
    non Inferiority Comment
    The AUC/C-statistic is a measure of discrimination between responders and non-responders
    non Inferiority Type
    OTHER
    other Analysis Description
    The optimal threshold for discriminating Positive and Negative cases in the Standard Therapy Arm occurs when baseline SUVmax = 20.85 corresponding to a Youden index (max( sensitivity + specificity-1)) of 0.0931
    param Type
    AUC
    param Value
    0.4722
  8. ci Num Sides
    TWO_SIDED
    group Description
    Maximum Youden index
    group Ids
    1. OG002
    non Inferiority Comment
    Maximum Youden index is the point value corresponding to the optimum threshold for distributional separation.
    non Inferiority Type
    OTHER
    param Type
    Youdin index
    param Value
    0.0931
  9. ci Num Sides
    TWO_SIDED
    group Description
    the optimal SUVmax threshold for discriminating Positive and Negative cases as determined by the value having the maximum Youden index
    group Ids
    1. OG002
    non Inferiority Comment
    SUVmax @ Max(Youden index)
    non Inferiority Type
    OTHER
    param Type
    optimal SUVmax threshold
    param Value
    20.85
classes
  1. categories
    1. measurements
      1. group Id
        OG000
        spread
        9.36
        value
        19.85
      2. group Id
        OG001
        spread
        7.34
        value
        21.00
      3. group Id
        OG002
        spread
        10.47
        value
        19.16
    denoms
    1. counts
      1. group Id
        OG000
        value
        40
      2. group Id
        OG001
        value
        15
      3. group Id
        OG002
        value
        25
      units
      Participants
    title
    Alive
  2. categories
    1. measurements
      1. group Id
        OG000
        spread
        8.89
        value
        17.66
      2. group Id
        OG001
        spread
        8.14
        value
        14.78
      3. group Id
        OG002
        spread
        8.97
        value
        19.12
    denoms
    1. counts
      1. group Id
        OG000
        value
        74
      2. group Id
        OG001
        value
        25
      3. group Id
        OG002
        value
        49
      units
      Participants
    title
    Event (death)
denoms
  1. counts
    1. group Id
      OG000
      value
      114
    2. group Id
      OG001
      value
      40
    3. group Id
      OG002
      value
      74
    units
    Participants
description
FDG SUVmax as measured at baseline PET imaging will be assessed in its ability to predict Overall Survival (OS) at year 5.
dispersion Type
Standard Deviation
groups
  1. description
    Patients undergo chemoradiotherapy as defined for the arm of the study to which they were randomized. 18F-Fluoromisonidazole: Undergo FMISO PET/CT prior to therapy for patients enrolling at institutions participating in the FMISO correlative study
    id
    OG000
    title
    Both Arms
  2. description
    Patients undergo standard radiotherapy QD 5 days a week for 30 fractions. Patients also receive paclitaxel IV over 1 hour and carboplatin IV over 30 minutes once weekly for 6 weeks. Patients undergo FMISO-PET imaging at baseline 18F-Fluoromisonidazole: Undergo FMISO PET/CT prior to therapy for patients enrolling at institutions participating in the FMISO correlative study Carboplatin: Given IV External Beam Radiation Therapy: Undergo radiotherapy
    id
    OG001
    title
    Arm I (Standard Chemoradiotherapy)
  3. description
    Patients undergo an individualized dose of image-guided radiotherapy QD 5 days a week for 30 fractions and undergo 18 F FDG-PET/CT between fractions 18 and 19. Based on the scan results, patients undergo individualized adaptive radiotherapy for the final 9 fractions. Patients also receive paclitaxel and carboplatin as in Arm I. 18F-Fluoromisonidazole: Participants enrolled at institutions participating in the FMISO correlative study undergo FMISO-PET prior to treatment Carboplatin: Given IV Computed Tomography: Undergo FDG PET/CT Computed Tomography: Undergo FMISO PET/CT (Correlative studies) Fludeoxyglucose F-18: Undergo FDG PET/CT Image-Guided Adaptive Radiation Therapy: Undergo individualized adaptive radiotherapy Laboratory Biomarker Analysis: Correlative studies Paclitaxel: Given IV Positron Emission Tomography: Undergo FDG PET/CT Positron Emission Tomography: Undergo FMISO PET/CT (Correlative studies)
    id
    OG002
    title
    Arm II (Experimental Chemoradiotherapy)
param Type
MEAN
population Description
Responders and non-responders are placed in separate rows. Number analyzed represents the denominator for the estimated value sum of rows = Overall Number of Participants Analyzed
reporting Status
POSTED
time Frame
Baseline to up to 5 years
title
SUVmax at Baseline Prediction of OS and Optimal Threshold (ECOG-ACRIN)
type
SECONDARY
unit Of Measure
SUV

Download exact source JSON → · Snapshot ctgov-results-191f4516d4760045304b24a0

Preserved source evidence · Not medical advice