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

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Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm. / Horger, Marius; Thaiss, Wolfgang M; Ditt, Hendrik; Weisel, Katja; Fritz, Jan; Nikolaou, Konstantin; Liao, Shu; Kloth, Christopher.

In: EUR RADIOL, Vol. 27, No. 7, 07.2017, p. 2969-2977.

Research output: SCORING: Contribution to journal › SCORING: Journal article › Research › peer-review

Harvard

Horger, M, Thaiss, WM, Ditt, H, Weisel, K, Fritz, J, Nikolaou, K, Liao, S & Kloth, C 2017, 'Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm', EUR RADIOL, vol. 27, no. 7, pp. 2969-2977. https://doi.org/10.1007/s00330-016-4642-6

APA

Horger, M., Thaiss, W. M., Ditt, H., Weisel, K., Fritz, J., Nikolaou, K., Liao, S., & Kloth, C. (2017). Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm. EUR RADIOL, 27(7), 2969-2977. https://doi.org/10.1007/s00330-016-4642-6

Vancouver

Horger M, Thaiss WM, Ditt H, Weisel K, Fritz J, Nikolaou K et al. Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm. EUR RADIOL. 2017 Jul;27(7):2969-2977. https://doi.org/10.1007/s00330-016-4642-6

Bibtex

@article{be1d6d884d364980b4887ba7af7adc1d,
title = "Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm",
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.",
keywords = "Adult, Aged, Aged, 80 and over, Algorithms, Female, Humans, Image Interpretation, Computer-Assisted, Male, Middle Aged, Multidetector Computed Tomography, Multiple Myeloma, Neoplasm Staging, Pelvic Bones, ROC Curve, Reproducibility of Results, Retrospective Studies, Software, Subtraction Technique, Whole Body Imaging, Comparative Study, Journal Article",
author = "Marius Horger and Thaiss, {Wolfgang M} and Hendrik Ditt and Katja Weisel and Jan Fritz and Konstantin Nikolaou and Shu Liao and Christopher Kloth",
year = "2017",
month = jul,
doi = "10.1007/s00330-016-4642-6",
language = "English",
volume = "27",
pages = "2969--2977",
journal = "EUR RADIOL",
issn = "0938-7994",
publisher = "Springer",
number = "7",

}

RIS

TY - JOUR

T1 - Improved MDCT monitoring of pelvic myeloma bone disease through the use of a novel longitudinal bone subtraction post-processing algorithm

AU - Horger, Marius

AU - Thaiss, Wolfgang M

AU - Ditt, Hendrik

AU - Weisel, Katja

AU - Fritz, Jan

AU - Nikolaou, Konstantin

AU - Liao, Shu

AU - Kloth, Christopher

PY - 2017/7

Y1 - 2017/7

N2 - 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.

AB - 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.

KW - Adult

KW - Aged

KW - Aged, 80 and over

KW - Algorithms

KW - Female

KW - Humans

KW - Image Interpretation, Computer-Assisted

KW - Male

KW - Middle Aged

KW - Multidetector Computed Tomography

KW - Multiple Myeloma

KW - Neoplasm Staging

KW - Pelvic Bones

KW - ROC Curve

KW - Reproducibility of Results

KW - Retrospective Studies

KW - Software

KW - Subtraction Technique

KW - Whole Body Imaging

KW - Comparative Study

KW - Journal Article

U2 - 10.1007/s00330-016-4642-6

DO - 10.1007/s00330-016-4642-6

M3 - SCORING: Journal article

C2 - 27882427

VL - 27

SP - 2969

EP - 2977

JO - EUR RADIOL

JF - EUR RADIOL

SN - 0938-7994

IS - 7

ER -