| Literature DB >> 27723817 |
Ulrika Asenbaum1, Richard Nolz1, Georgios Karanikas1, Julia Furtner1, Ramona Woitek1, Anton Staudenherz1, Daniela Senn1, Markus Raderer2, Michael Weber1, Ingrid Simonitsch-Klupp3, Marius E Mayerhoefer1.
Abstract
The purpose of our study was to determine the value of different hybrid imaging combinations for the detection of focal and diffuse bone marrow infiltration in lymphoma. Patients with histologically proven lymphoma, who underwent both [18F]-FDG-PET/CT and whole-body MRI (including T1- and diffusion-weighted [DWI] sequences) within seven days, and a subsequent bone marrow biopsy, were retrospectively included. Three hybrid imaging combinations were evaluated: (1) [18F]-FDG-PET/CT; (2) [18F]-FDG-PET/T1; and (3) [18F]-FDG-PET/DWI. The presence of focal or diffuse bone marrow infiltration was assessed by two rater teams. Sensitivity, specificity, and accuracy for the detection of overall, focal, and diffuse bone marrow involvement were compared between the three hybrid imaging combinations. Overall, lymphomatous bone marrow involvement was found in 16/60 patients (focal, 8; diffuse, 8). Overall sensitivity, specificity, and accuracy were 81.3%, 95.5%, and 91.7% for [18F]-FDG-PET/CT; 81.3%, 97.7%, and 93.3% for [18F]-FDG-PET/T1; and 81.3%, 95.5%, and 91.7% for [18F]-FDG-PET/DWI. No statistically significant differences between the three imaging combinations were observed, based on overall bone marrow involvement, focal involvement, or diffuse involvement. The sensitivity of all three imaging combinations for detecting diffuse bone marrow involvement was only moderate (62.5% for all three combinations). Although the combination of [18F]-FDG-PET and T1-weighted MRI generally showed the best diagnostic performance for the detection of bone marrow involvement in lymphoma, it was not significantly superior to the two other hybrid imaging combinations. Since the sensitivity of all imaging combinations for the detection of diffuse bone marrow involvement was only moderate, bone marrow biopsy cannot be replaced by imaging as yet.Entities:
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Year: 2016 PMID: 27723817 PMCID: PMC5056699 DOI: 10.1371/journal.pone.0164118
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Distribution of bone marrow involvement between the different lymphoma subtypes.
| N = 60 | Negative | Focal | Diffuse |
|---|---|---|---|
| 17 | 1 | 0 | |
| 13 | 3 | 0 | |
| 4 | 3 | 4 | |
| 3 | 0 | 1 | |
| 5 | 1 | 0 | |
| 1 | 0 | 3 | |
| 1 | 0 | 0 |
HL, Hodgkin lymphoma; DLBCL, diffuse large B cell lymphoma; FL, follicular lymphoma; nMZL, nodal marginal zone lymphoma; MALT, extranodal marginal zone B-cell lymphoma of the mucosa-associated lymphoid tissue; MCL, mantle cell lymphoma; ALCL, anaplastic large cell lymphoma
Fig 1Focal bone marrow involvement.
A 70-year-old female patient with histologically verified DLBCL and a focal bone marrow lesion in the left humerus. There is a perfect match between [18F]-FDG-PET and the fused color-coded PET/CT images (a-c); DWI and the fused color-coded [18F]-FDG-PET/DWI images (d-f); and [18F]-T1-weighted images and fused color-coded PET/T1 images (g-i), with regard to the detection of the focal lesion in the humerus.
Fig 2Diffuse bone marrow involvement.
A 46-year-old male patient with histologically verified MCL, and diffuse bone marrow involvement proven by BMB and histology. There is a perfect match between [18F]-FDG-PET/CT and the fused color-coded PET/CT images (a-c); DWI and the fused color-coded [18F]-FDG-PET/DWI images (d-f); and [18F]-T1-weighted images and fused color-coded PET/T1 images (g-i), with regard to the detection of diffuse bone marrow involvement in the pelvic bones.
Overall performance of the different imaging combinations for the detection of bone marrow involvement in lymphoma.
| N = 60 | Sensitivity | Specificity | PPV | NPV | Accuracy | Interrater κ |
|---|---|---|---|---|---|---|
| 0.69 (0.41–0.88) | 0.91 (0.77–0.97) | 0.73 (0.45–0.91) | 0.89 (0.75–0.96) | 0.85 (0.74–0.92) | 0.67 ( | |
| 0.69 (0.42–0.88) | 0.93 (0.8–0.98) | 0.79 (0.49–0.94) | 0.89 (0.76–0.96) | 0.87 (0.76–0.93) | 0.83 ( | |
| 0.81 (0.54–0.95) | 0.93 (0.8–0.98) | 0.81 (0.54–0.95) | 0.93 (0.80–0.98) | 0.90 (0.80–0.95) | 0.88 ( | |
| 0.81 (0.54–0.95) | 0.96 (0.83–0.99) | 0.87 (0.58–0.98) | 0.93 (0.81–0.98) | 0.92 (0.82–0.96) | - | |
| 0.81 (0.54–0.95) | 0.98 (0.87–1) | 0.93 (0.64–1) | 0.94 (0.81–0.98) | 0.93 (0.84–0.97) | - | |
| 0.81 (0.54–0.95) | 0.96 (0.83–0.99) | 0.87 (0.58–0.98) | 0.93 (0.81–0.98) | 0.92 (0.82–0.96) | - | |
| 0.75 (0.47–0.92) | 1.0 (0.9–1) | 1.0 (0.7–1) | 0.92 (0.79–0.97) | 0.87 (0.76–0.93) | - | |
Values in parentheses represent 95% confidence intervals
PPV, positive predictive value; NPV, negative predictive value
Diffuse bone marrow involvement—diagnostic performance of the different imaging combinations.
| N = 52 | Sensitivity | Specificity | PPV | NPV | Accuracy | Interrater κ |
|---|---|---|---|---|---|---|
| 0.63 (0.26–0.90) | 0.91 (0.77–0.97) | 0.56 (0.23–0.85) | 0.93 (0.80–0.98) | 0.87 (0.75–0.93) | 0.56 ( | |
| 0.50 (0.17–0.83) | 0.93 (0.80–0.98) | 0.57 (0.20–0.88) | 0.91 (0.78–0.97) | 0.87 (0.75–0.93) | 0.74 ( | |
| 0.63 (0.26–0.90) | 0.93 (0.80–0.98) | 0.63 (0.26–0.90) | 0.93 (0.80–0.98) | 0.89 (0.77–0.95) | 0.77 ( | |
| 0.63 (0.26–0.90) | 0.96 (0.83–0.99) | 0.71 (0.30–0.95) | 0.93 (0.81–0.98) | 0.90 (0.79–0.96) | - | |
| 0.63 (0.26–0.90) | 0.98 (0.87–1.0) | 0.83 (0.37–0.99) | 0.94 (0.81–98) | 0.92 (0.82–0.97) | - | |
| 0.63 (0.26–0.90) | 0.96 (0.83–0.99) | 0.71 (0.30–0.95) | 0.93 (0.81–0.98) | 0.90 (0.79–0.96) | - | |
| 1.0 (0.60–1.0) | 1.0 (0.90–1.0) | 1.0 (0.60–1.0) | 1.0 (0.90–1.0) | 1.0 (0.93–1.0) | - | |
Values in parentheses represent 95% confidence intervals
PPV, positive predictive value; NPV, negative predictive value
Focal bone marrow involvement—diagnostic performance of the different imaging combinations.
| N = 52 | Sensitivity | Specificity | PPV | NPV | Accuracy | Interrater κ |
|---|---|---|---|---|---|---|
| 0.75 (0.36–0.96) | 0.91 (0.77–0.97) | 0.60 (0.27–0.86) | 0.95 (0.83–0.99) | 0.89 (0.77–0.95) | 0.76 ( | |
| 0.88 (0.47–0.99) | 0.93 (0.8–0.98) | 0.70 (0.35–0.92) | 0.98 (0.86–1.0) | 0.92 (0.82–0.97) | 0.81 ( | |
| 1.0 (0.60–1.0) | 0.93 (0.8–0.98) | 0.73 (0.39–0.93) | 1.0 (0.89–1.0) | 0.94 (0.84–0.98) | 0.94 ( | |
| 1.0 (0.6–1) | 0.96 (0.83–0.99) | 0.80 (0.44–0.97) | 1.0 (0.9–1.0) | 0.96 (0.87–0.99) | - | |
| 1.0 (0.60–1.0) | 0.98 (0.87–1.0) | 0.89 (0.51–0.99) | 1.0 (0.90–1.0) | 0.98 (0.90–1.0) | - | |
| 1.0 (0.6–1.0) | 0.96 (0.83–0.99) | 0.80 (0.44–0.97) | 1.0 (0.90–1.0) | 0.96 (0.87–0.99) | - | |
| 0.5 (0.17–0.83) | 1.0 (0.90–1.0) | 1.0 (0.40–1.0) | 0.92 (0.79–0.97) | 0.92 (0.82–0.97) | - | |
Values in parentheses represent 95% confidence intervals
PPV, positive predictive value; NPV, negative predictive value