Subspecialty Second-Opinion in Multiple Myeloma CT: Emphasis on Clinically Significant Lytic Lesions
Abstract
1. Introduction
2. Materials and Methods
2.1. Inclusion Criteria
2.2. Study Design
2.3. Reference Standard
2.4. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- 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. [Google Scholar] [CrossRef] [PubMed]
- Messiou, C.; Hillengass, J.; Delorme, S.; Lecouvet, F.E.; Moulopoulos, L.A.; Collins, D.J.; Blackledge, M.D.; Abildgaard, N.; Østergaard, B.; Schlemmer, H.-P.; et al. Guidelines for acquisition, interpretation, and reporting of whole-body MRI in myeloma: Myeloma response assessment and diagnosis system (MY-RADS). Radiology 2019, 291, 5–13. [Google Scholar] [CrossRef] [PubMed]
- Zamagni, E.; Cavo, M.; Fakhri, B.; Vij, R.; Roodman, D. Bones in Multiple Myeloma: Imaging and Therapy. Am. Soc. Clin. Oncol. Educ. Book 2018, 638–646. [Google Scholar] [CrossRef] [PubMed]
- Rajkumar, S.V. Evolving diagnostic criteria for multiple myeloma. Hematology 2015, 2015, 272–278. [Google Scholar] [CrossRef]
- Rasche, L.; Angtuaco, E.J.; Alpe, T.L.; Gershner, G.H.; McDonald, J.E.; Samant, R.S.; Kumar, S.; Hemert, R.V.; Epstein, J.; Tytarenko, R.; et al. The presence of large focal lesions is a strong independent prognostic factor in multiple myeloma. Blood 2018, 132, 59–66. [Google Scholar] [CrossRef]
- Tagliafico, A.S.; Cea, M.; Rossi, F.; Valdora, F.; Bignotti, B.; Succio, G.; Gualco, S.; Conte, A.; Dominietto, A. Differentiating diffuse from focal pattern on Computed Tomography in multiple myeloma: Added value of a Radiomics approach. Eur. J. Radiol. 2019, 121, 108739. [Google Scholar] [CrossRef]
- Rajkumar, S.V.; Dimopoulos, M.A.; Palumbo, A.; Blade, J.; Merlini, G.; Mateos, M.-V.; Kumar, P.S.; Hillengass, J.; Kastritis, E.; Landgren, O.; et al. International Myeloma Working Group updated criteria for the diagnosis of multiple myeloma. Lancet Oncol. 2014, 15, e538–e548. [Google Scholar] [CrossRef]
- Löfgren, J.; Loft, A.; de Lima, V.A.B.; Østerlind, K.; von Benzon, E.; Højgaard, L. Clinical importance of re-interpretation of PET/CT scanning in patients referred to a tertiary care medical centre. Clin. Physiol. Funct. Imaging 2017, 37, 143–147. [Google Scholar] [CrossRef]
- Hatzoglou, V.; Omuro, A.M.; Haque, S.; Khakoo, Y.; Ganly, I.; Oh, J.H.; Shukla-Dave, A.; Fatovic, R.; Gaal, J.; Holodny, A.I. Second-opinion interpretations of neuroimaging studies by oncologic neuroradiologists can help reduce errors in cancer care. Cancer 2016, 122, 2708–2714. [Google Scholar] [CrossRef]
- Lakhman, Y.; Miccò, M.; Scelzo, C.; Alberto Vargas, H.; Nougaret, S.; Sosa, R.E.; Chi, D.S.; Abu-Rustum, N.R.; Hricak, H.; Sala, E. Second-Opinion Interpretations of Gynecologic Oncologic MRI Examinations by Sub-Specialized Radiologists Influence Patient Care Conclusions-Expert second-opinion review of GynOnc MRI influences patient care. HHS Publ. Access. Eur. Radiol. 2016, 26, 2089–2098. [Google Scholar] [CrossRef] [PubMed]
- Sadat-Khonsari, M.; Papayannis, M.; Schriefer, P.; Kluth, L.; Meyer, C.; Schüttfort, V.; Regier, M.; Rink, M.; Chun, F.; Fisch, M.; et al. Worth a second look: Outcomes of patients with initial finding of regular renal tissue in CT-guided renal tumor biopsies. World J. Urol. 2018, 36, 789–792. [Google Scholar] [CrossRef] [PubMed]
- Chalian, M.; Del Grande, F.; Thakkar, R.S.; Jalali, S.F.; Chhabra, A.; Carrino, J.A. Second-opinion subspecialty consultations in musculoskeletal radiology. Am. J. Roentgenol. 2016, 206, 1217–1221. [Google Scholar] [CrossRef]
- Kobayashi, H.; Abe, Y.; Narita, K.; Kitadate, A.; Takeuchi, M. Prognostic significance of medullary abnormalities of the appendicular skeleton detected by low-dose whole-body multidetector computed tomography in patients with multiple myeloma. Blood 2017, 130, 1763. [Google Scholar]
- Nanni, C.; Versari, A.; Chauvie, S.; Bertone, E.; Bianchi, A.; Rensi, M.; Bellò, M.; Gallamini, A.; Patriarca, F.; Gay, F.; et al. Interpretation criteria for FDG PET/CT in multiple myeloma (IMPeTUs): final results. IMPeTUs (Italian myeloma criteria for PET USe). Eur. J. Nucl. Med. Mol. Imaging 2018, 45, 712–719. [Google Scholar] [CrossRef] [PubMed]
- Stäbler, A.; Baur, A.; Bartl, R.; Munker, R.; Lamerz, R.; Reiser, M.F. Contrast enhancement and quantitative signal analysis in MR imaging of multiple myeloma: Assessment of focal and diffuse growth patterns in marrow correlated with biopsies and survival rates. AJR Am. J. Roentgenol. 1996, 167, 1029–1036. [Google Scholar] [CrossRef] [PubMed]
- Bland, J.M.; Altman, D.G. Statistics notes: Cronbach’s alpha. BMJ 1997, 314, 572. [Google Scholar] [CrossRef]
- Landis, J.R.; Koch, G.G. The Measurement of Observer Agreement for Categorical Data. Biometrics 1977, 159–174. [Google Scholar] [CrossRef]
- Hillengass, J.; Fechtner, K.; Weber, M.-A.; Bäuerle, T.; Ayyaz, S.; Heiss, C.; Ho, A.D. Prognostic Significance of Focal Lesions in Whole-Body Magnetic Resonance Imaging in Patients with Asymptomatic Multiple Myeloma. J. Clin. Oncol. 2010, 28, 1606–1610. [Google Scholar] [CrossRef] [PubMed]
- Hillengass, J.; Moulopoulos, L.A.; Delorme, S.; Koutoulidis, V.; Mosebach, J.; Hielscher, T.; Drake, M.; Rajkumar, S.V.; Oestergaard, V.; Abildgaard, N.; et al. Whole-body computed tomography versus conventional skeletal survey in patients with multiple myeloma: A study of the International Myeloma Working Group. Blood Cancer J. 2017, 7, e599. [Google Scholar] [CrossRef]
- European Society of Radiology (ESR). Summary of the proceedings of the International Summit 2015: General and subspecialty radiology. Insights Imaging 2016, 7, 1–5. [Google Scholar] [CrossRef][Green Version]
- European Society of Radiology (ESR). Medical imaging in personalised medicine: A white paper of the research committee of the European Society of Radiology (ESR). Insights Imaging 2015, 6, 141–155. [Google Scholar] [CrossRef] [PubMed]
Number of Detector Rows | 16 or More up to 128 |
---|---|
Minimum Scan coverage | Skull base to femur |
Tube voltage(kV)/time-current product (mAs) | 120/50–70, adjusted as clinically needed |
Reconstruction convolution kernel | Sharp, high-frequency (bone) and smooth (soft tissue). Middle-frequency kernel for all images are adjusted by the radiologist as deemed necessary |
Iterative reconstruction algorithms | Yes (to reduce image noise and streak artefacts) |
Thickness | ≤5 mm |
Multiplanar Reconstructions (MPRs) | Yes (sagittal, coronal and parallel to long axis of proximal limbs) |
Matrix, Rotation time, table speed, pith index | 128 × 128, 0.5 s, 24 mm per gantry rotation, 0.8 |
Discrepancy Score Category | No. (%) of Examinations |
---|---|
1, no discrepancy. | 46 (65%) |
2, discrepancy in detecting a clinically unimportant abnormality (e.g., a missed case of mild degenerative disease, interpreting a bone infarct as a bone island). | 10 (14%) |
3, discrepancy in interpreting a clinically important abnormality (e.g., interpreting the presence of a lytic lesion >5 mm or the presence of osteonecrosis or vice versa). | 14 (21%) |
Total | 70 (100%) |
Disease Category | Discrepancy Score Category 1 | Discrepancy Score Category 2 | Discrepancy Score Category 3 |
---|---|---|---|
Focal Lesion Detection | 46 | - | 14 |
Diffuse Pattern | 17 | 4 | - |
Osteonecrosis | - | 1 | - |
Number of Focal Lesion | - | 6 | - |
© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Share and Cite
Tagliafico, A.S.; Belgioia, L.; Bonsignore, A.; Rossi, F.; Succio, G.; Bignotti, B.; Dominietto, A. Subspecialty Second-Opinion in Multiple Myeloma CT: Emphasis on Clinically Significant Lytic Lesions. Medicina 2020, 56, 195. https://doi.org/10.3390/medicina56040195
Tagliafico AS, Belgioia L, Bonsignore A, Rossi F, Succio G, Bignotti B, Dominietto A. Subspecialty Second-Opinion in Multiple Myeloma CT: Emphasis on Clinically Significant Lytic Lesions. Medicina. 2020; 56(4):195. https://doi.org/10.3390/medicina56040195
Chicago/Turabian StyleTagliafico, Alberto Stefano, Liliana Belgioia, Alessandro Bonsignore, Federica Rossi, Giulia Succio, Bianca Bignotti, and Alida Dominietto. 2020. "Subspecialty Second-Opinion in Multiple Myeloma CT: Emphasis on Clinically Significant Lytic Lesions" Medicina 56, no. 4: 195. https://doi.org/10.3390/medicina56040195
APA StyleTagliafico, A. S., Belgioia, L., Bonsignore, A., Rossi, F., Succio, G., Bignotti, B., & Dominietto, A. (2020). Subspecialty Second-Opinion in Multiple Myeloma CT: Emphasis on Clinically Significant Lytic Lesions. Medicina, 56(4), 195. https://doi.org/10.3390/medicina56040195