Literature DB >> 29987388

Opportunistic screening for osteoporosis in abdominal computed tomography for Chinese population.

Yan-Lin Li1, Kin-Hoi Wong2,3, Martin Wai-Ming Law2, Benjamin Xin-Hao Fang2, Vince Wing-Hang Lau2, Vince Varut Vardhanabuti2,4, Victor Kam-Ho Lee2, Andrew Kai-Chun Cheng2, Wai-Yin Ho2, Wendy Wai-Man Lam2.   

Abstract

This study assessed the possibility of diagnosing and excluding osteoporosis with routine abdominal CT scans in a Chinese population who underwent both DXA and CT for unrelated reasons. Statistical correlation was made between the HU measured of the spine on CT and various parameters on DXA. Diagnostic cutoff points in terms of HU were established for the diagnosis (≤ 136 HU) and exclusion (≥ 175 HU) of osteoporosis on sagittal reformatted images. There was excellent positive and negative predictive value for the DXA-defined diagnostic subgroups and were also comparable with previous studies in Caucasian populations. The authors exhort radiologists to report these incidental findings to facilitate early detection and treatment of osteoporosis in unsuspecting patients to prevent fractures and related complications.
PURPOSE: The suspicion for osteoporosis can be raised in diagnostic computed tomography of the abdomen performed for other indications. We derived cutoff thresholds for the attenuation value of the lumbar spinal vertebrae (L1-5) in Hounsfield units (HU) in a Chinese patient population to facilitate implementation of opportunistic screening in radiologists.
METHODS: We included 109 Chinese patients who concomitantly underwent abdominal CT and dual X-ray absorptiometry (DXA) within 6 months between July 2014 and July 2017 at a university hospital in Hong Kong. Images were retrospectively reviewed on sagittal reformats, and region-of-interest (ROI) markers were placed on the anterior portion of each of the L1-L5 vertebra to measure the HU. The mean values of CT HU were then compared with the bone mineral density (BMD) and T-score obtained by DXA. Receiver operator characteristic (ROC) curves were generated to determine diagnostic cutoff thresholds and their sensitivity and specificity values.
RESULTS: The mean CT HU differed significantly (p < 0.01) for the three DXA-defined BMD categories of osteoporosis (97 HU), of osteopenia (135 HU), and of normal individuals (230 HU). There was good correlation between the mean CT HU and BMD and T-score (Pearson coefficient of 0.62 and 0.61, respectively, p < 0.001). The optimal cutoff point for exclusion of osteoporosis or osteopenia was HU ≥ 175 with negative predictive value as 98.9% and with area under curve (AUC) of ROC curve as 0.97. The optimal cutoff point for diagnosis of osteoporosis was HU ≤ 136 with positive predictive value as 81.2% and with AUC of ROC curve as 0.86.
CONCLUSION: This is the first study on osteoporosis diagnosis with routine CT abdominal scans in Chinese population. The cutoff values were comparable with previous studies in Caucasian populations suggesting generalizability. Radiologists should consider routinely reporting these opportunistic findings to facilitate early detection and treatment of osteoporosis to prevent fractures and related complications.

Entities:  

Keywords:  Abdominal CT; Opportunistic screening; Osteoporosis

Mesh:

Year:  2018        PMID: 29987388     DOI: 10.1007/s11657-018-0492-y

Source DB:  PubMed          Journal:  Arch Osteoporos            Impact factor:   2.617


  7 in total

1.  Opportunistic osteoporosis screening using chest CT with artificial intelligence.

Authors:  Jinrong Yang; Man Liao; Yaoling Wang; Leqing Chen; Linfeng He; Yingying Ji; Yao Xiao; Yichen Lu; Wenliang Fan; Zhuang Nie; Ruiyun Wang; Benling Qi; Fan Yang
Journal:  Osteoporos Int       Date:  2022-08-06       Impact factor: 5.071

2.  [Insufficiency fractures of the spine in relation to cancellous bone density : An in vitro study].

Authors:  Guido Schröder; Dirk Flachsmeyer; Claus Maximilian Kullen; Julian Ramin Andresen; Marko Schulze; Laura Hiepe; Hans-Christof Schober; Reimer Andresen
Journal:  Orthopadie (Heidelb)       Date:  2022-05-23

Review 3.  Population-Based Osteoporosis Primary Prevention and Screening for Quality of Care in Osteoporosis, Current Osteoporosis Reports.

Authors:  William D Leslie; Carolyn J Crandall
Journal:  Curr Osteoporos Rep       Date:  2019-12       Impact factor: 5.096

4.  Improved prediction of incident vertebral fractures using opportunistic QCT compared to DXA.

Authors:  Maximilian T Löffler; Alina Jacob; Alexander Valentinitsch; Anna Rienmüller; Claus Zimmer; Yu-Mi Ryang; Thomas Baum; Jan S Kirschke
Journal:  Eur Radiol       Date:  2019-02-21       Impact factor: 5.315

5.  Computed tomography-measured bone mineral density as a surrogate marker of survival after resection of colorectal liver metastases.

Authors:  Shinichi Ikuta; Tsukasa Aihara; Takayoshi Nakajima; Meidai Kasai; Naoki Yamanaka
Journal:  Ann Transl Med       Date:  2021-01

6.  Low paraspinal lean muscle mass is an independent predictor of adjacent vertebral compression fractures after percutaneous kyphoplasty: A propensity score-matched case-control study.

Authors:  Yunzhong Cheng; Honghao Yang; Yong Hai; Yuzeng Liu; Li Guan; Aixing Pan; Yaosheng Zhang
Journal:  Front Surg       Date:  2022-08-11

7.  Prediction of osteoporosis and osteopenia by routine computed tomography of the lumbar spine in different regions of interest.

Authors:  Guangyue Yang; Hansong Wang; Zhufeng Wu; Yinyu Shi; Yongfang Zhao
Journal:  J Orthop Surg Res       Date:  2022-10-15       Impact factor: 2.677

  7 in total

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