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01-07-2017 | Computed Tomography

Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm

Authors: Marius Horger, Wolfgang M. Thaiss, Hendrik Ditt, Katja Weisel, Jan Fritz, Konstantin Nikolaou, Shu Liao, Christopher Kloth

Published in: European Radiology | Issue 7/2017

Abstract

Purpose

To evaluate the diagnostic performance of a novel CT post-processing software that generates subtraction maps of baseline and follow-up CT examinations in the course of myeloma bone lesions.

Materials and methods

This study included 61 consecutive myeloma patients who underwent repeated whole-body reduced-dose MDCT at our institution between November 2013 and June 2015. CT subtraction maps classified a progressive disease (PD) vs. stable disease (SD)/remission. Bone subtraction maps (BSMs) only and in combination with 1-mm (BSM+) source images were compared with 5-mm axial/MPR scans.

Results

Haematological response categories at follow-up were: complete remission (n = 9), very good partial remission (n = 2), partial remission (n = 17) and SDh (n = 19) vs. PDh (n = 14). Five-millimetre CT scan yielded PD (n = 14) and SD/remission (n = 47) whereas bone subtraction + 1-mm axial scans (BSM+) reading resulted in PD (n = 18) and SD/remission (n = 43). Sensitivity/ specificity/accuracy for 5-mm/1-mm/BSM(alone)/BSM + in "lesion-by-lesion" reading was 89.4 %/98.9 %/98.3 %/ 99.5 %; 69.1 %/96.9 %/72 %/92.1 % and 83.8 %/98.4 %/92.1 %/98.3 %, respectively. The use of BSM+ resulted in a change of response classification in 9.8 % patients (n = 6) from SD to PD.

Conclusion

BSM reading is more accurate for monitoring myeloma compared to axial scans whereas BSM+ yields similar results with 1-mm reading (gold standard) but by significantly reduced reading time.

Key points

• CT evaluation of myeloma bone disease using a longitudinal bone subtraction post-processing algorithm.

• Bone subtraction post-processing algorithm is more accurate for assessment of therapy.

• Bone subtraction allowed improved and more efficient detection of myeloma bone lesions.

• Post-processing tool demonstrating a change in response classification in 9.8 % patients (all showing PD).

• Reading time could be substantially shortened as compared to regular CT assessment.

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Title: Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm
Authors: Marius Horger
Wolfgang M. Thaiss
Hendrik Ditt
Katja Weisel
Jan Fritz
Konstantin Nikolaou
Shu Liao
Christopher Kloth
Publication date: 01-07-2017
Publisher: Springer Berlin Heidelberg
Published in: European Radiology / Issue 7/2017
Print ISSN: 0938-7994
Electronic ISSN: 1432-1084
DOI: https://doi.org/10.1007/s00330-016-4642-6

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm

Abstract

Purpose

Materials and methods

Results

Conclusion

Key points

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Materials and methods

Results

Conclusion

Key points

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