1. Introduction
Multiple myeloma (MM) is a malignant disease of the bone marrow in which the excessive proliferation of plasma cells occurs. MM constitutes the second most common hematologic neoplasm in the USA and Europe [ 1 ] and accounts for approximately 1% of all new cancer cases worldwide [ 2 ]. MM manifestations differ in the degree and pattern of bone marrow and extramedullary involvement [ 1 , 3 ]. The role of radiology in the assessment of patients with MM includes the detection of vital manifestations and their evaluation under treatment [ 4 ]. While whole-body MRI with diffusion-weighted imaging sequences is considered the reference standard for the diagnosis of diffuse and focal plasma cell infiltration in the bone marrow and the assessment of lesion vitality [ 5 , 6 , 7 ], the detection of osteolytic lesions in the mineralized bone is generally performed based on unenhanced low-dose whole-body CT [ 8 ]. Skeletal manifestations of MM can range from osteopenia to singular or diffuse osteolytic lesions (80–90% of patients) as a result of osteoblast inhibition and increased osteoclast activity [ 9 ].
Bisphosphonates inhibiting osteoclast activity and denosumab, a monoclonal antibody against the receptor activator of nuclear factor-kappa B ligand (RANKL), have been a pillar of bone-targeted therapy for many years [ 10 , 11 ]. However, the simultaneous decrease in osteoblast activity in MM commonly results in the persistence of osteolytic lesions even in patients with hematologic responses after treatment [ 9 ]. Recent therapy regimens employing proteasome inhibitors (e.g., carfilzomib) and immunomodulatory drugs (e.g., lenalidomide) have improved the prognosis of MM patients considerably [ 12 ]. Proteasome inhibitors in particular have been described to positively influence bone turnover due to osteoblastogenesis with the potential to induce the limited remineralization of osteolytic lesions [ 13 , 14 , 15 ]. More recently, the ELOQUENT-2 phase III trial indicated prolonged progression-free survival and a higher frequency of remission in MM patients that received the monoclonal antibody elotuzumab directed against the “signaling lymphocytic activation molecule family member 7” (SLAMF7) in addition to standard induction treatment [ 16 ]. In another recent phase II study, a therapy regimen combining elotuzumab with weekly carfilzomib, lenalidomide, and dexamethasone (E-KRd) was associated with durable hematologic treatment responses [ 17 ]. Despite promising results for overall disease outcome, the frequency and extent of bone remineralization after MM induction therapy has not been thoroughly investigated thus far. Bearing a substantial risk for pathologic fractures and the occurrence of adverse events, such as spinal cord compression or vertebral column instability, persistent focal osteolytic lesions must not be underestimated [ 9 ].
To define a reliable radiologic study endpoint, this investigation aimed to assess bone remineralization quantitatively and qualitatively in sequential whole-body low-dose CT scans of patients treated with six cycles of E-KRd as an induction therapy.
2. Materials and Methods
For this retrospective study, permission was obtained from the local institutional review board. The need for additional written informed consent was waived.
2.1. Study Population
Eligibility criteria for study inclusion comprised the following: age between 18 and 70 years, newly diagnosed multiple myeloma according to the International Myeloma Working Group (IMWG) updated criteria [ 18 ], induction therapy with six cycles of E-KRd within the DSMM XVII interventional phase III trial (ClinicalTrials.gov identifier: NCT03948035 ; therapy regimen summarized in Supplemental Table S1 ), as well as whole-body low-dose CT scans before and after six cycles of E-KRd treatment between September 2018 and February 2021. If not indicated otherwise, patients received either bisphosphonates (4 mg zoledronic acid every 4 weeks) or denosumab (120 mg every 4 weeks) as standard of care. For each patient, therapy response was assessed by standard serological and urine laboratory tests, as well as bone marrow punctures before and after treatment. Response was determined based on the current version of the IMWG consensus criteria [ 19 ].
2.2. Imaging Parameters
Whole-body low-dose CT scans were performed in craniocaudal orientation from the vertex to the proximal tibia metaphysis using a third-generation dual-source CT scanner (Somatom Force, Siemens Healthineers, Erlangen, Germany). Since the color-coded mapping of bone marrow infiltration was not in the scope of this study, both dual-energy (patient weight <90 kg: 90/Sn 150 kVp, patient weight ≥90 kg: 100/Sn 150 kVp) and single-energy examinations (100 or 120 kVp) were included in the analysis. Automatic tube current modulation (Care Dose 4D; Siemens Healthineers) was employed for all CT studies and no intravenous contrast medium was administered. The mean dose-length product and volume CT dose index of examinations were 928.5 ± 616.1 mGy × cm and 6.6 ± 4.4 mGy, respectively. Raw data were reconstructed with 3 mm slice thickness, 3 mm increment, and 512 × 512 matrix using standard-resolution bone, lung and soft tissue kernels.
2.3. Radiological Assessment of Treatment Response
Whole-body low-dose CT studies before and after E-KRd induction therapy were read in pairs by two independent radiologists with six and nine years of experience in oncologic imaging. Readers were tasked with identifying a maximum of ten representative osteolytic lesions per patient with short-axis diameters ≥5 mm on axial CT slices and quantifying the expanse of each lesion (short-axis x long-axis diameter (mm 2 )). The presence of cortical destruction, pathologic fractures, and rim and trabecular sclerosis was assessed dichotomously (present/absent). “Rim sclerosis” was defined as osteosclerotic alterations limited to the edges of a lesion, whereas “trabecular sclerosis” was recorded if osteosclerosis occurred within a lesion. A “pathologic fracture” was presumed if a fracture line or vertebral height loss was associated with an osteolytic lesion. For visualization purposes, color-coded subtraction maps were prepared with a variational image registration algorithm that combines rigid pre-alignment with non-linear deformable registration (PACS Viewer Application, Fraunhofer Institute for Digital Medicine MEVIS) [ 20 ]. All examinations were reviewed on standard radiological workstations with commercially available PACS software (Merlin, Phönix-PACS, Freiburg im Breisgau, Germany).
2.4. Statistics
Since two radiologists independently assessed five different characteristics for each detected lesion (two-dimensional lesion size measurements and four qualitative features), a patient-level endpoint aggregated over all lesions was required. Being a metric variable, lesion size (reported as mean ± standard deviation) is easily summed up, which is why we decided to employ the four binary variables for validation, expecting that bone remineralization would reduce lesion size particularly in MM manifestations exhibiting rim or trabecular sclerosis. To identify an adequate error model for inter-reader differences in lesion size, a Bland–Altman analysis was performed on the linear, logarithmic, and square root scales. The reader concordance of binary features was described by crosstabulation, and Krippendorff’s α was computed with a 95% confidence interval to analyze inter-reader agreement for dichotomous criteria of response. Lesion sizes were then averaged over the two radiologists and bone remineralization response to treatment per lesion was quantified as a ratio. For a patient-level endpoint, we used the ratio of the sum of lesion sizes after and before treatment. Finally, logistic regression analysis was performed to evaluate whether lesion-level response was associated with the presence of rim or trabecular sclerosis. A flowchart illustrating the study design is presented in Figure 1 .

3. Results
3.1. Patient Characteristics
The study sample consisted of 20 patients (seven women) with a mean age of 58 ± 8 years. The MM subtypes IgG kappa, IgG lambda, IgA kappa, and IgA lambda were recorded in 11, 5, 3, and 1 individuals, respectively. Employing the Revised International Staging System (R-ISS) [ 21 ], 11, 8, and 1 patients were categorized as R-ISS I, II, and III. The median bone marrow infiltration in the study population before commencement of E-KRd induction therapy was 50% (IQR 20–71%). The proportion of plasma cells decreased in all 20 patients after six cycles of treatment (median decrease 48%, IQR 19–66%). At the end of E-KRd induction therapy, the hematologic result was determined as “very good partial response” (VGPR) in 16 patients, “complete response” (CR) in 3 patients, and “stringent complete response” (sCR) in 1 patient. The mean time interval between whole-body low-dose CT scans was 221 ± 26 days. Individual patient characteristics are presented in Table 1 .
Table 1
Study population.
Note. Zoledronic acid 4 mg (intravenous) with drug dose adjustment for renal function at baseline or denosumab 120 mg (subcutaneous) were applied every 4 weeks. * denosumab 60 mg every 6 months (subcutaneous); ** pamidronic acid every 3 months (intravenous). CR—complete response; E-KRd—treatment with elotuzumab, carfilzomib, lenalidomide, and dexamethasone; R-ISS—Revised International Staging System; sCR—stringent complete response; VGPR—very good partial response.
| Patient | Age | Sex | Diagnosis | R-ISS | E-KRd Cycles | Bone Therapy (q4w) | Interval between CT Scans (days) | Bone Marrow Infiltration at Baseline (%) | Bone Marrow Infiltration after Treatment (%) | Hematologic Response at End of E-KRd |
| 1 | 52 | m | IgG lambda | II | 6 | Denosumab | 209 | 90 | <10 | VGPR |
| 2 | 61 | m | IgG kappa | I | 6 | Zoledronic acid | 204 | 90 | 3 | VGPR |
| 3 | 54 | m | IgG lambda | II | 6 | Zoledronic acid | 245 | 20 | 0 | VGPR |
| 4 | 69 | f | IgG kappa | I | 6 | Zoledronic acid | 207 | 50 | 0 | VGPR |
| 5 | 58 | m | IgG kappa | II | 6 | Zoledronic acid | 218 | 70 | <10 | VGPR |
| 6 | 59 | f | IgG kappa | I | 6 | Zoledronic acid | 214 | 30 | 0 | VGPR |
| 7 | 48 | m | IgG lambda | I | 6 | Zoledronic acid | 294 | 0 | 0 | VGPR |
| 8 | 58 | f | IgG kappa | I | 6 | Zoledronic acid | 202 | 70 | 0 | VGPR |
| 9 | 57 | m | IgG kappa | I | 6 | Zoledronic acid | 198 | 8 | 0 | CR |
| 10 | 58 | m | IgG kappa | II | 6 | Zoledronic acid | 230 | 70 | 0 | VGPR |
| 11 | 62 | f | IgG kappa | I | 6 | Denosumab * | 204 | 15 | 0 | VGPR |
| 12 | 56 | m | IgA kappa | II | 6 | Zoledronic acid | 205 | 90 | 0 | VGPR |
| 13 | 57 | m | IgG kappa | II | 6 | Zoledronic acid | 280 | 90 | 0 | VGPR |
| 14 | 63 | m | IgG lambda | I | 6 | Zoledronic acid | 209 | 20 | <10 | VGPR |
| 15 | 40 | m | IgA kappa | I | 6 | Zoledronic acid | 229 | 30 | 0 | CR |
| 16 | 58 | f | IgA kappa | I | 6 | Zoledronic acid | 211 | 80 | 10 | VGPR |
| 17 | 69 | m | IgA lambda | I | 6 | Pamidronic ** | 207 | 15 | 0 | CR |
| 18 | 41 | f | IgG kappa | II | 6 | Zoledronic acid | 242 | 45 | 0 | sCR |
| 19 | 68 | m | IgG kappa | III | 6 | Zoledronic acid | 217 | 60 | <10 | VGPR |
| 20 | 66 | f | IgG lambda | II | 6 | Zoledronic acid | 196 | 50 | 5 | VGPR |
3.2. Quantitative Lesion Characterization before and after Induction Therapy
A total of 108 different osteolytic lesions were recorded with readers 1 and 2 describing 103 and 99 lesions, respectively. Ninety-four lesions were assessed by both readers at baseline and follow-up imaging and used for further statistical evaluation. Measurement differences were independent of lesion size on the square root scale, indicating that discrepancies are due to one-dimensional measurement errors with a typical standard deviation of 1.2 mm. In contrast, measurement differences increased parabolically with lesion size on the linear scale ( Figure 2 ). To average out the readers, we calculated averages from each pair of measurements and computed the ratio of “size after treatment” over “size before treatment” for each lesion. The resulting stalactite plots visualize the response of each patient sorted by the mean response of all lesions ( Figure 3 ). Notably, lesion size response did not correlate with the initial lesion size at baseline imaging (Pearson’s r = 0.144; 95% confidence interval 0–0.324; Supplemental Figure S1 ). The histogram of all lesion responses, having a peak near 100% (no response) and a pronounced tail to the left, suggests the presence of both clearly responding and essentially stable lesions ( Supplemental Figure S2 ). Table 2 details lesion size per patient before and after E-KRd induction therapy. On a patient level, the mean overall lesion size reduction was calculated to be 22% (95% confidence interval: 14–31%; p < 0.001). Figure 4 includes an exemplary case of substantial lesion size decrease and trabecular sclerosis.


Table 2
Therapy response based on reader-aggregated lesion size per patient.
Note. Measurement aggregation performed per lesion in each patient over the two readers on the square root scale.
| Patient | Number of Lesions | Sum of Lesion Sizes at Baseline (mm 2 ) | Sum of Lesion Sizes after Treatment (mm 2 ) | Sum of Response Ratios | Mean Response (%) |
| 1 | 6 | 1108 | 818 | 0.74 | −25 |
| 2 | 4 | 912 | 811 | 0.89 | −3 |
| 3 | 9 | 1877 | 1506 | 0.80 | −20 |
| 4 | 5 | 933 | 526 | 0.56 | −37 |
| 5 | 8 | 2238 | 1706 | 0.76 | −25 |
| 6 | 5 | 542 | 530 | 0.98 | +2 |
| 7 | 10 | 1136 | 498 | 0.44 | −58 |
| 8 | 5 | 510 | 496 | 0.97 | −4 |
| 9 | 4 | 621 | 249 | 0.4 | −82 |
| 10 | 4 | 492 | 402 | 0.82 | −38 |
| 11 | 9 | 1320 | 910 | 0.69 | −51 |
| 12 | 3 | 808 | 692 | 0.86 | −15 |
| 13 | 6 | 2040 | 1726 | 0.85 | −15 |
| 14 | 2 | 104 | 56 | 0.54 | −35 |
| 15 | 6 | 640 | 632 | 0.99 | −1 |
| 16 | 4 | 477 | 433 | 0.91 | −24 |
| 17 | 5 | 745 | 710 | 0.95 | −7 |
| 18 | 2 | 212 | 198 | 0.93 | −8 |
| 19 | 5 | 2291 | 1659 | 0.72 | −35 |
| 20 | 6 | 766 | 554 | 0.72 | −36 |

3.3. Qualitative Criteria of Therapy Response
Inter-reader reliability was high for the presence of cortical destruction (α = 0.85; 95% confidence interval 0.76–0.93), pathologic fractures (0.92; 0.81–1), rim sclerosis (0.74; 0.64–0.83) and trabecular remineralization (0.81; 0.68–0.91). Therefore, we chose to aggregate the binary features over readers, looking only at lesions concordantly called by both radiologists at both time points ( n = 94; for cross-tabulations see Supplemental Tables S2 and S3 ). At baseline imaging, cortical destruction was ascertained by the two radiologists in 33 osteolytic manifestations (35%), while pathologic fractures were determined in five lesions (5%). Cortical destruction at the time of follow-up was described in 12 lesions (13%), while three new pathologic fractures emerged. On baseline scans, rim sclerosis was found in nine lesions (10%), whereas no trabecular sclerosis was detected. After treatment, the number of MM manifestations exhibiting rim sclerosis increased to 51 (54%), while trabecular remineralization was ascertained by both readers in 29 lesions (31%). The reader-specific qualitative lesion characterization is summarized in Table 3 . Logistic regression analysis revealed that trabecular sclerosis in at least one lesion was strongly associated with a substantial overall patient-level response ( Supplemental Figure S3 ; p ≤ 0.001). Accordingly, among lesions showing a size reduction of more than 20%, trabecular sclerosis was recorded in 53% ( Table 4 ). Extensive bone healing in a previously vital MM manifestation with cortical destruction at baseline is depicted in Figure 5 , whereas Figure 6 shows a patient without bone remineralization despite signs of therapy response after induction therapy.
Table 3
Qualitative osteolytic lesion characterization.
Note. For binary features, the numbers given first indicate relative frequencies (%), while absolute numbers of items are displayed in parentheses. As a measure of inter-reader agreement, Krippendorff’s α is presented with 95% confidence intervals in parentheses.
| Reader Analysis | Lesions Described by Reader 1 ( n = 103) | Lesions Described by Reader 2 ( n = 99) | Lesions Described by Reader 1 and 2 ( n = 94) | Inter-Reader Reliability | |||
| CT Scan | Before Treatment | After Treatment | Before Treatment | After Treatment | Before Treatment | After Treatment | Krippendorff’s α |
| Cortical destruction | 35% (36/103) | 17% (17/103) | 37% (37/99) | 12% (12/99) | 35% (33/94) | 13% (12/94) | 0.85 (0.76–0.93) |
| Pathologic fracture | 6% (6/103) | 9% (9/103) | 5% (5/99) | 8% (8/99) | 5% (5/94) | 9% (8/94) | 0.92 (0.81–1) |
| Rim sclerosis | 14% (14/103) | 72% (74/103) | 9% (9/99) | 56% (55/99) | 10% (9/94) | 54% (51/94) | 0.74 (0.64–0.83) |
| Trabecular sclerosis | 0% (0/103) | 33% (34/103) | 1% (1/99) | 39% (39/99) | 0% (0/94) | 31% (29/94) | 0.81 (0.68–0.91) |
Table 4
Therapy response and trabecular sclerosis. Among lesions displaying a response greater than 20% after E-KRd induction therapy, trabecular sclerosis was ascertained in 53% (24/45). In contrast, only 8% (5/63) of lesions with a treatment response equal to or less than 20% depicted suchlike forms of remineralization.
Note. All 108 lesions described after E-KRd induction therapy were aggregated in this contingency table to calculate the response and trabecular sclerosis ratios. Fisher’s exact test was performed for the assessment of statistical significance (*).
| Lesion Level Response | No Trabecular Sclerosis | Trabecular Sclerosis | Sum | p Value |
| Therapy response ≤20% | 58 (54%) | 5 (5%) | 63 (58%) | |
| Therapy response >20% | 21 (19%) | 24 (22%) | 45 (42%) | |
| Sum | 79 (73%) | 29 (27%) | 108 (100%) | <0.001 * |


4. Discussion
This study retrospectively investigated bone remineralization in patients with newly diagnosed multiple myeloma under a quadruple induction therapy of carfilzomib, lenalidomide, dexamethasone and the anti-SLAMF7 monoclonal antibody elotuzumab. We validated the measurement of osteolytic lesion size as a reliable bone remineralization study endpoint and showed that the presence of trabecular sclerosis is strongly associated with a positive response, suggesting its potential as a radiological marker for treatment efficacy and bone remineralization in MM patients. The absence of correlation between lesion size response and initial lesion size underscores the potential of using E-KRd in treating lesions of varying sizes, potentially improving patient outcomes across the spectrum of disease severity.
Represented in the IMWG SliM-CRAB criteria for MM defining events, the primary function of radiology in patients with MM lies in the detection of bone marrow manifestations (M = MRI with more than one focal lesion larger than 5 mm) and osteolyses (B = bone disease; one or more osteolytic lesion). For the latter, whole-body low-dose CT is the most established means of diagnosis due to fast image acquisition, ubiquitous availability and excellent diagnostic sensitivity [ 4 ]. Although the main strength of CT imaging lies in the detection of osteolytic lesions [ 5 , 7 ], the process of remineralization under different therapy regimens has only been investigated sporadically for disease monitoring thus far [ 22 , 23 , 24 ].
In the last two decades, the introduction of new therapeutic agents, such as proteasome inhibitors and immunomodulators, has altered the outcome and overall survival rates of MM patients in different stages of disease [ 25 , 26 , 27 ]. Nonetheless, diffuse and focal bone demineralization continues to negatively affect individuals’ quality of life. Particularly, the increased risk for pathologic fractures remains a major driver of morbidity and mortality in MM patients [ 9 ]. In a previous study on bone remineralization in MM, Schulze et al. described sclerosis in only 18% of patients receiving bortezomib treatment; however, lesion size was not investigated by the authors, and no difference was identified between rim and trabecular sclerosis [ 14 ]. While the rate of remineralization was higher in the present study, our results also indicate a high degree of agreement between readers, which is decisive for clinical routine, since different radiologists will most likely be involved in the CT examinations of a single patient over years of treatment [ 14 ]. With 43% sclerosis, the proportion of remineralization in lytic lesions of the pelvis region reported by Mohan et al. was more in line with our findings [ 22 ], despite manifestations being significantly larger than in the present study (average of 4 cm). In a more recent analysis, the same authors even determined a 72% rate of remineralization over various anatomical regions, albeit only evaluating one focal osseous lesion per patient [ 28 ]. Of note, all study samples reported in the literature consist of patients in various stages of disease instead of a homogenous population of patients with newly diagnosed MM. Further limiting comparisons with our results, patients in earlier studies received chemotherapy according to the treatment protocols of various different clinical trials instead of a singular therapy regimen such as E-KRd.
The following limitations must be considered for this study. First, the study did not include a control group receiving an established induction regimen, since the current investigation was performed to assess the general process of bone remineralization in a homogenous group of newly diagnosed MM patients instead of specifically analyzing the therapy effect of E-KRd. However, upcoming prospective studies should use the validated study endpoint to compare the effects of different immunomodulatory agents and also evaluate their combination with exercise therapy concepts. Of note, the latter have already shown encouraging effects in MM and monoclonal gammopathy patients and may be a focal point of future research on bone health [ 29 , 30 ]. Second, the investigated population consisted solely of patients with newly diagnosed MM. While patients with relapsed/refractory MM may display a different extent of bone remineralization under treatment, studies investigating the effect of the human monoclonal antibody daratumumab in such samples have also revealed improved bone turnover [ 31 , 32 ]. Third, while the proportion of lesions developing rim or trabecular sclerosis as a form of therapy response was high in our cohort, the overall number of patients eligible for study inclusion was rather small, since we prioritized homogeneity within the patient sample over a less standardized population. In concordance with the study’s aim, we believe that the standardization of therapy and diagnostics is essential to establish a valid and reliable endpoint for any form of treatment response.
5. Conclusions
The sum of osteolytic lesion sizes on sequential whole-body low-dose CT scans defines a reliable patient-level study endpoint to characterize bone remineralization. Patient-level response was strongly associated with the presence of trabecular sclerosis. As the sum of lesion sizes defines a valid study endpoint to characterize remineralization on a patient level, this endpoint can be used to quantify bone health during different forms of therapy.
Acknowledgments
This publication was supported by the Open Access Publication Fund of the University of Würzburg.
Abbreviations
| E-KRd | elotuzumab, carfilzomib, lenalidomide, and dexamethasone |
| IMWG | International Myeloma Working Group |
| MM | multiple myeloma |
| (s)CR | (stringent) complete response |
| SLAMF-7 | signaling lymphocytic activation molecule family member 7 |
| VGPR | very good partial response |
Supplementary Materials
The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/cancers15154008/s1 ; Figure S1: Correlation of lesion response with baseline size; Figure S2: Mean response histogram; Figure S3: Logistic regression analysis; Table S1: E-KRd induction therapy protocol; Table S2: Reader concordance on bone destruction; Table S3: Reader concordance on bone remineralization.
Click here for additional data file.
Author Contributions
Conceptualization, J.-P.G. and F.J.; data curation, J.-P.G., A.S.K. and F.J.; formal analysis, J.-P.G. and D.H.; funding acquisition, J.-P.G. and F.J.; investigation, J.-P.G., A.S.K., F.T.B., D.H., M.M.S., S.H., T.A.B., H.E., S.K. and F.J.; methodology, J.-P.G., D.H., F.T.B. and F.J.; project administration, T.A.B., H.E. and F.J.; resources, T.A.B., S.H., S.K. and F.J.; supervision, D.H., T.A.B., H.E. and F.J; validation, A.S.K., F.T.B., D.H., M.M.S. and S.H.; visualization, J.-P.G., M.M.S. and S.H.; writing—original draft, J.-P.G. and F.J.; writing—review and editing, A.S.K., F.T.B., D.H., M.M.S., S.H., T.A.B., H.E. and S.K. All authors have read and agreed to the published version of the manuscript.
Institutional Review Board Statement
For this retrospective study, permission was obtained from the institutional review board of the University of Würzburg, Germany (20210907 01). All procedures were in accordance with the ethical standards of the institutional and national research committee and with the 1975 Declaration of Helsinki.
Informed Consent Statement
The need for additional written informed consent was waived by the institutional review board of the University of Würzburg, Germany.
Data Availability Statement
The datasets generated and/or analyzed during this study are not publicly available as CT data and DICOM headers contain patient information. Data can be obtained on reasonable request from the corresponding author.
Conflicts of Interest
Three of the authors (J.-P.G., A.S.K., T.A.B.) have received speaker honoraria from Siemens Healthineers outside of the presented work within the last three years. One author (S.H.) is an employee of Fraunhofer MEVIS. The other authors of this manuscript declare no relationships with any companies, whose products or services may be related to the subject matter of this article.
Funding Statement
J.-P.G. received financial support from the Interdisciplinary Center of Clinical Research Würzburg, Germany (grant number Z-3BC/02). The study work was further supported by the German Research Foundation (DFG) grants JU 426/10-1 (F.J., 491715122) and JU 426/11-1 (F.J., 496963451).
Footnotes
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References
1. Röllig C., Knop S., Bornhäuser M. Multiple myeloma. Lancet. 2015;385:2197–2208. doi: 10.1016/S0140-6736(14)60493-1.
2. Cancer Today Website. [(accessed on 27 July 2023)]. Available online: http://gco.iarc.fr/today/home .
3. Kosmala A., Weng A.M., Krauss B., Knop S., Bley T.A., Petritsch B. Dual-energy CT of the bone marrow in multiple myeloma: Diagnostic accuracy for quantitative differentiation of infiltration patterns. Eur. Radiol. 2018;28:5083–5090. doi: 10.1007/s00330-018-5537-5.
4. Moulopoulos L.A., Koutoulidis V., Hillengass J., Zamagni E., Aquerreta J.D., Roche C.L., Lentzsch S., Moreau P., Cavo M., Miguel J.S., et al. Recommendations for acquisition, interpretation and reporting of whole body low dose CT in patients with multiple myeloma and other plasma cell disorders: A report of the IMWG Bone Working Group. Blood Cancer J. 2018;8:95. doi: 10.1038/s41408-018-0124-1.
5. Koutoulidis V., Fontara S., Terpos E., Zagouri F., Matsaridis D., Christoulas D., Panourgias E., Kastritis E., Dimopoulos M.A., Moulopoulos L.A. Quantitative Diffusion-weighted Imaging of the Bone Marrow: An Adjunct Tool for the Diagnosis of a Diffuse MR Imaging Pattern in Patients with Multiple Myeloma. Radiology. 2017;282:484–493. doi: 10.1148/radiol.2016160363.
6. Hillengass J., Usmani S., Rajkumar S.V., Durie B.G.M., Mateos M.-V., Lonial S., Joao C., Anderson K.C., García-Sanz R., Riva E., et al. International myeloma working group consensus recommendations on imaging in monoclonal plasma cell disorders. Lancet Oncol. 2019;20:e302–e312. doi: 10.1016/S1470-2045(19)30309-2.
7. Koutoulidis V., Terpos E., Papanikolaou N., Fontara S., Seimenis I., Gavriatopoulou M., Ntanasis-Stathopoulos I., Bourgioti C., Santinha J., Moreira J.M., et al. Comparison of MRI Features of Fat Fraction and ADC for Early Treatment Response Assessment in Participants with Multiple Myeloma. Radiology. 2022;304:137–144. doi: 10.1148/radiol.211388.
8. Dimopoulos M.A., Hillengass J., Usmani S., Zamagni E., Lentzsch S., Davies F.E., Raje N., Sezer O., Zweegman S., Shah J., et al. Role of Magnetic Resonance Imaging in the Management of Patients with Multiple Myeloma: A Consensus Statement. J. Clin. Oncol. 2015;33:657–664. doi: 10.1200/JCO.2014.57.9961.
9. Terpos E., Zamagni E., Lentzsch S., Drake M.T., García-Sanz R., Abildgaard N., Ntanasis-Stathopoulos I., Schjesvold F., de la Rubia J., Kyriakou C., et al. Treatment of multiple myeloma-related bone dis-ease: Recommendations from the Bone Working Group of the International Myeloma Working Group. Lancet Oncol. 2021;22:e119–e130. doi: 10.1016/S1470-2045(20)30559-3.
10. Raje N., Terpos E., Willenbacher W., Shimizu K., García-Sanz R., Durie B., Legieć W., Krejčí M., Laribi K., Zhu L., et al. Denosumab versus zoledronic acid in bone disease treatment of newly diagnosed multiple myeloma: An international, double-blind, double-dummy, randomised, controlled, phase 3 study. Lancet Oncol. 2018;19:370–381. doi: 10.1016/S1470-2045(18)30072-X.
11. Morgan G.J., Child J.A., Gregory W.M., Szubert A.J., Cocks K., Bell S.E., Navarro-Coy N., Drayson M.T., Owen R.G., Feyler S., et al. Effects of zoledronic acid versus clodronic acid on skeletal morbidity in pa-tients with newly diagnosed multiple myeloma (MRC Myeloma IX): Secondary outcomes from a ran-domised controlled trial. Lancet Oncol. 2011;12:743–752. doi: 10.1016/S1470-2045(11)70157-7.
12. Cavo M., Tacchetti P., Patriarca F., Petrucci M.T., Pantani L., Galli M., Di Raimondo F., Crippa C., Zamagni E., Palumbo A., et al. Bortezomib with thalidomide plus dexamethasone compared with thalidomide plus dexamethasone as induction therapy before, and consolidation therapy after, double autologous stem-cell transplantation in newly diagnosed multiple myeloma: A randomised phase 3 study. Lancet. 2010;376:2075–2085. doi: 10.1016/S0140-6736(10)61424-9.
13. Terpos E., Heath D.J., Rahemtulla A., Zervas K., Chantry A., Anagnostopoulos A., Pouli A., Katodritou E., Verrou E., Vervessou E.C., et al. Bortezomib reduces serum dickkopf-1 and receptor activator of nuclear factor-kappaB ligand concentrations and normalises indices of bone remodelling in patients with relapsed multiple myeloma. Br. J. Haematol. 2006;135:688–692. doi: 10.1111/j.1365-2141.2006.06356.x.
14. Schulze M., Weisel K., Grandjean C., Oehrlein K., Zago M., Spira D., Horger M. Increasing Bone Sclerosis During Bortezomib Therapy in Multiple Myeloma Patients: Results of a Reduced-Dose Whole-Body MDCT Study. Am. J. Roentgenol. 2014;202:170–179. doi: 10.2214/AJR.12.10367.
15. Green A.C., Lath D., Hudson K., Walkley B., Down J.M., Owen R., Evans H.R., Paton-Hough J., Reilly G.C., Lawson M.A., et al. TGFβ Inhibition Stimulates Collagen Maturation to Enhance Bone Repair and Fracture Resistance in a Murine Myeloma Model. J. Bone Miner. Res. 2019;34:2311–2326. doi: 10.1002/jbmr.3859.
16. Dimopoulos M.A., Lonial S., White D., Moreau P., Weisel K., San-Miguel J., Shpilberg O., Grosicki S., Špička I., Walter-Croneck A., et al. Elotuzumab, lenalidomide, and dexamethasone in RRMM: Final overall survival results from the phase 3 randomized ELOQUENT-2 study. Blood Cancer J. 2020;10:91. doi: 10.1038/s41408-020-00357-4.
17. Derman B.A., Kansagra A., Zonder J., Stefka A.T., Grinblatt D.L., Anderson L.D.J., Gurbuxani S., Narula S., Rayani S., Major A., et al. Elotuzumab and Weekly Carfilzomib, Lenalidomide, and Dexame-thasone in Patients with Newly Diagnosed Multiple Myeloma without Transplant Intent: A Phase 2 Measurable Residual Disease-Adapted Study. JAMA Oncol. 2022;8:1278–1286. doi: 10.1001/jamaoncol.2022.2424.
18. Rajkumar S.V., Dimopoulos M.A., Palumbo A., Blade J., Merlini G., Mateos M.-V., Kumar S., Hillengass J., Kastritis E., Richardson P., et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014;15:e538–e548. doi: 10.1016/S1470-2045(14)70442-5.
19. Kumar S., Paiva B., Anderson K.C., Durie B., Landgren O., Moreau P., Munshi N., Lonial S., Bladé J., Mateos M.-V., et al. International Myeloma Working Group consensus criteria for response and minimal residual disease assessment in multiple myeloma. Lancet Oncol. 2016;17:e328–e346. doi: 10.1016/S1470-2045(16)30206-6.
20. Sieren M.M., Brenne F., Hering A., Kienapfel H., Gebauer N., Oechtering T.H., Fürschke A., Wegner F., Stahlberg E., Heldmann S., et al. Rapid study assessment in follow-up whole-body computed tomography in patients with multiple myeloma using a dedicated bone subtraction software. Eur. Radiol. 2020;30:3198–3209. doi: 10.1007/s00330-019-06631-9.
21. Palumbo A., Avet-Loiseau H., Oliva S., Lokhorst H.M., Goldschmidt H., Rosinol L., Richardson P., Caltagirone S., Lahuerta J.J., Facon T., et al. Revised International Staging System for Multiple Myeloma: A Report from International Myeloma Working Group. J. Clin. Oncol. 2015;33:2863–2869. doi: 10.1200/JCO.2015.61.2267.
22. Mohan M., Samant R.S., Yoon D., Buros A.F., Branca A., Montgomery C.O., Nicholas R., Suva L.J., Morello R., Thanendrarajan S., et al. Extensive Remineralization of Large Pelvic Lytic Lesions Following Total Therapy Treatment in Patients with Multiple Myeloma. J. Bone Miner. Res. 2017;32:1261–1266. doi: 10.1002/jbmr.3111.
23. Takasu M., Tani C., Kaichi Y., Sakoda Y., Kiguchi M., Date S., Kuroda Y., Sakai A., Awai K. A lon-gitudinal computed tomography study of lenalidomide and bortezomib treatment for multiple myeloma: Trabecular microarchitecture and biomechanics assessed using multidetector computed tomography. Clin. Lymphoma Myeloma Leuk. 2014;14:485–492. doi: 10.1016/j.clml.2014.07.009.
24. Terpos E., Christoulas D., Kokkoris P., Anargyrou K., Gavriatopoulou M., Migkou M., Tsionos K., Dimopoulos M.A. Increased bone mineral density in a subset of patients with relapsed multiple myeloma who received the combination of bortezomib, dexamethasone and zoledronic acid. Ann. Oncol. 2010;21:1561–1562. doi: 10.1093/annonc/mdq259.
25. Du J.S., Yen C.H., Hsu C.M., Hsiao H.H. Management of Myeloma Bone Lesions. Int. J. Mol. Sci. 2021;22:3389. doi: 10.3390/ijms22073389.
26. Terpos E., Ntanasis-Stathopoulos I., Katodritou E., Kyrtsonis M.C., Douka V., Spanoudakis E., Papatheo-dorou A., Eleutherakis-Papaiakovou E., Kanellias N., Gavriatopoulou M., et al. Carfilzomib Im-proves Bone Metabolism in Patients with Advanced Relapsed/Refractory Multiple Myeloma: Results of the CarMMa Study. Cancers. 2021;13:1257. doi: 10.3390/cancers13061257.
27. Terpos E., Kastritis E., Ntanasis-Stathopoulos I., Christoulas D., Papatheodorou A., Eleuthera-kis-Papaiakovou E., Kanellias N., Fotiou D., Ziogas D.C., Migkou M., et al. Consolidation therapy with the combination of bortezomib and lenalidomide (VR) without dexamethasone in multiple mye-loma patients after transplant: Effects on survival and bone outcomes in the absence of bisphosphonates. Am. J. Hematol. 2019;94:400–407. doi: 10.1002/ajh.25392.
28. Mohan M., Kumar M., Samant R., Van Hemert R.J., Tian E., Desai S., van Rhee F., Thanendrarajan S., Schinke C., Suva L.J., et al. Bone remineralization of lytic lesions in multiple myeloma—The Ar-kansas experience. Bone. 2021;146:115876. doi: 10.1016/j.bone.2021.115876.
29. Seefried L., Genest F., Strömsdörfer J., Engelmann B., Lapa C., Jakob F., Baumann F.T., Sperlich B., Jundt F. Impact of whole-body vibration exercise on physical performance and bone turnover in patients with monoclonal gammopathy of undetermined significance. J. Bone Oncol. 2020;25:100323. doi: 10.1016/j.jbo.2020.100323.
30. Wefelnberg M.M., Niels T., Holtick U., Jundt F., Scheid C., Baumann F.T. Clinical exercise therapy program with multiple myeloma patients: Impacts on feasibility, adherence and efficacy. Support. Care Cancer. 2022;30:9615–9623. doi: 10.1007/s00520-022-07369-9.
31. Costa F., Toscani D., Chillemi A., Quarona V., Bolzoni M., Marchica V., Vescovini R., Mancini C., Martella E., Campanini N., et al. Expression of CD38 in myeloma bone niche: A rational basis for the use of anti-CD38 immunotherapy to inhibit osteoclast formation. Oncotarget. 2017;8:56598–56611. doi: 10.18632/oncotarget.17896.
32. Terpos E., Ntanasis-Stathopoulos I., Kastritis E., Hatjiharissi E., Katodritou E., Eleutherakis-Papaiakovou E., Verrou E., Gavriatopoulou M., Leonidakis A., Manousou K., et al. Daratumumab Improves Bone Turnover in Relapsed/Refractory Multiple Myeloma; Phase 2 Study “REBUILD”. Cancers. 2022;14:2768. doi: 10.3390/cancers14112768.
Associated Data
Supplementary Materials
Click here for additional data file.
Data Availability Statement
The datasets generated and/or analyzed during this study are not publicly available as CT data and DICOM headers contain patient information. Data can be obtained on reasonable request from the corresponding author.