Improvement of diagnostic confidence for detection of multiple myeloma involvement of the ribs by a new CT software generating rib unfolded images: Comparison with 5- and 1-mm axial images

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Improvement of diagnostic confidence for detection of multiple myeloma involvement of the ribs by a new CT software generating rib unfolded images: Comparison with 5- and 1-mm axial images. / Homann, Georg; Weisel, Katja; Mustafa, Deedar Farhad; Ditt, Hendrik; Nikolaou, Konstantin; Horger, Marius.

In: SKELETAL RADIOL, Vol. 44, No. 7, 07.2015, p. 971-9.

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@article{fda2267adb8547049f0188eee5283b27,
title = "Improvement of diagnostic confidence for detection of multiple myeloma involvement of the ribs by a new CT software generating rib unfolded images: Comparison with 5- and 1-mm axial images",
abstract = "OBJECTIVE: To investigate the performance of a new CT software generating rib unfolded images for improved detection of rib osteolyses in patients with multiple myeloma.MATERIALS AND METHODS: One hundred sixteen patients who underwent whole-body reduced-dose multidetector computed tomography (WBRD-MDCT) for multiple myeloma diagnosis and during follow-up were retrospectively evaluated. Nonenhanced CT scans with 5- and 1-mm slice thickness were interpreted by two readers with focus on detection of rib involvement (location, number, fracture). Image analysis of {"}unfolded,{"} 1-mm-based CT rib images was subsequently undertaken. We classified the number of lytic bone lesions into 0, 1, 2, <5, <10 and ≥10. For all three data sets the reading time was registered.RESULTS: An approximated sum of 6,727 myeloma-related rib lesions was found. On a patient-based analysis, CT (5 mm), CT (1 mm) and CT (1 mm {"}unfolded rib{"}) yielded a sensitivity, specificity and accuracy of 79.7/94.7/87.1, 88.1/93/90.5 and 98.3/96.5/97.4, respectively. In a lesion-based analysis, the sensitivity, specificity and accuracy of the three evaluations were 69.7/87.2/70.5, 79.8/55.9/78 and 96.5/89.7/96.1. Mean reading time for 5 mm/1 mm axial images and unfolded images was 178.7/215.1/90.8 s, respectively.CONCLUSION: The generation of {"}unfolded rib{"} images improves detection of rib involvement in patients with multiple myeloma and significantly reduces reading time.",
keywords = "Aged, Bone Neoplasms, Female, Humans, Male, Multiple Myeloma, Observer Variation, Radiographic Image Enhancement, Radiographic Image Interpretation, Computer-Assisted, Reproducibility of Results, Ribs, Sensitivity and Specificity, Software, Software Validation, Tomography, X-Ray Computed, Comparative Study, Evaluation Studies, Journal Article, Research Support, Non-U.S. Gov't",
author = "Georg Homann and Katja Weisel and Mustafa, {Deedar Farhad} and Hendrik Ditt and Konstantin Nikolaou and Marius Horger",
year = "2015",
month = jul,
doi = "10.1007/s00256-015-2131-7",
language = "English",
volume = "44",
pages = "971--9",
journal = "SKELETAL RADIOL",
issn = "0364-2348",
publisher = "Springer",
number = "7",

}

RIS

TY - JOUR

T1 - Improvement of diagnostic confidence for detection of multiple myeloma involvement of the ribs by a new CT software generating rib unfolded images: Comparison with 5- and 1-mm axial images

AU - Homann, Georg

AU - Weisel, Katja

AU - Mustafa, Deedar Farhad

AU - Ditt, Hendrik

AU - Nikolaou, Konstantin

AU - Horger, Marius

PY - 2015/7

Y1 - 2015/7

N2 - OBJECTIVE: To investigate the performance of a new CT software generating rib unfolded images for improved detection of rib osteolyses in patients with multiple myeloma.MATERIALS AND METHODS: One hundred sixteen patients who underwent whole-body reduced-dose multidetector computed tomography (WBRD-MDCT) for multiple myeloma diagnosis and during follow-up were retrospectively evaluated. Nonenhanced CT scans with 5- and 1-mm slice thickness were interpreted by two readers with focus on detection of rib involvement (location, number, fracture). Image analysis of "unfolded," 1-mm-based CT rib images was subsequently undertaken. We classified the number of lytic bone lesions into 0, 1, 2, <5, <10 and ≥10. For all three data sets the reading time was registered.RESULTS: An approximated sum of 6,727 myeloma-related rib lesions was found. On a patient-based analysis, CT (5 mm), CT (1 mm) and CT (1 mm "unfolded rib") yielded a sensitivity, specificity and accuracy of 79.7/94.7/87.1, 88.1/93/90.5 and 98.3/96.5/97.4, respectively. In a lesion-based analysis, the sensitivity, specificity and accuracy of the three evaluations were 69.7/87.2/70.5, 79.8/55.9/78 and 96.5/89.7/96.1. Mean reading time for 5 mm/1 mm axial images and unfolded images was 178.7/215.1/90.8 s, respectively.CONCLUSION: The generation of "unfolded rib" images improves detection of rib involvement in patients with multiple myeloma and significantly reduces reading time.

AB - OBJECTIVE: To investigate the performance of a new CT software generating rib unfolded images for improved detection of rib osteolyses in patients with multiple myeloma.MATERIALS AND METHODS: One hundred sixteen patients who underwent whole-body reduced-dose multidetector computed tomography (WBRD-MDCT) for multiple myeloma diagnosis and during follow-up were retrospectively evaluated. Nonenhanced CT scans with 5- and 1-mm slice thickness were interpreted by two readers with focus on detection of rib involvement (location, number, fracture). Image analysis of "unfolded," 1-mm-based CT rib images was subsequently undertaken. We classified the number of lytic bone lesions into 0, 1, 2, <5, <10 and ≥10. For all three data sets the reading time was registered.RESULTS: An approximated sum of 6,727 myeloma-related rib lesions was found. On a patient-based analysis, CT (5 mm), CT (1 mm) and CT (1 mm "unfolded rib") yielded a sensitivity, specificity and accuracy of 79.7/94.7/87.1, 88.1/93/90.5 and 98.3/96.5/97.4, respectively. In a lesion-based analysis, the sensitivity, specificity and accuracy of the three evaluations were 69.7/87.2/70.5, 79.8/55.9/78 and 96.5/89.7/96.1. Mean reading time for 5 mm/1 mm axial images and unfolded images was 178.7/215.1/90.8 s, respectively.CONCLUSION: The generation of "unfolded rib" images improves detection of rib involvement in patients with multiple myeloma and significantly reduces reading time.

KW - Aged

KW - Bone Neoplasms

KW - Female

KW - Humans

KW - Male

KW - Multiple Myeloma

KW - Observer Variation

KW - Radiographic Image Enhancement

KW - Radiographic Image Interpretation, Computer-Assisted

KW - Reproducibility of Results

KW - Ribs

KW - Sensitivity and Specificity

KW - Software

KW - Software Validation

KW - Tomography, X-Ray Computed

KW - Comparative Study

KW - Evaluation Studies

KW - Journal Article

KW - Research Support, Non-U.S. Gov't

U2 - 10.1007/s00256-015-2131-7

DO - 10.1007/s00256-015-2131-7

M3 - SCORING: Journal article

C2 - 25833276

VL - 44

SP - 971

EP - 979

JO - SKELETAL RADIOL

JF - SKELETAL RADIOL

SN - 0364-2348

IS - 7

ER -