Literature DB >> 32355842

Semi-quantitative grading and extended semi-quantitative grading for osteoporotic vertebral deformity: a radiographic image database for education and calibration.

Yì Xiáng J Wáng1, Daniele Diacinti2, Wei Yu3, Xiao-Guang Cheng4, Marcello H Nogueira-Barbosa5, Nazmi Che-Nordin1, Giuseppe Guglielmi6, Fernando Ruiz Santiago7.   

Abstract

The Genant's semi-quantitative (GSQ) criteria is currently the most used approach in epidemiology studies and clinical trials for osteoporotic vertebral deformity (OVD) evaluation with radiograph. The qualitative diagnosis with radiological knowledge helps to minimize false positive readings. However, unless there is a face-to-face training with experienced readers, it can be difficult to apply GSQ criteria by only reading the text description of Genant et al. (in 1993), even for a musculoskeletal radiologist. We propose an expanded semi-quantitative (eSQ) OVD classification with the following features: (I) GSQ grade-0.5 is noted as minimal grade (eSQ grade-1) for OVDs with height loss <20%; (II) GSQ mild grade (grade-1) is the same as eSQ mild grade (grade-2); (III) GSQ moderate grade (grade-2) is subdivided into eSQ grade-3 (moderate, >25%-1/3 height loss) and eSQ grade-4 (moderately-severe, >1/3-40% height loss); (IV) GSQ severe grade is subdivided into eSQ grade-5 (severe, >40%-2/3 height loss) and eSQ grade-6 (collapsed, with >2/3 height loss). We advocate to estimate vertebral height loss with adjacent vertebral heights as the reference (rather than using individual vertebra's posterior height as the reference). This article presents radiographs of 36 cases with OVD, together with gradings using GSQ criteria and eSQ criteria. The examples in this article can serve as teaching material or calibration database for readers who will use GSQ criteria or eSQ criteria. Our approach for quantitative measurement is explained graphically. 2020 Annals of Translational Medicine. All rights reserved.

Entities:  

Keywords:  Osteoporosis; grading; osteoporotic vertebral deformity (OVD); osteoporotic vertebral fracture; spine

Year:  2020        PMID: 32355842      PMCID: PMC7186643          DOI: 10.21037/atm.2020.02.23

Source DB:  PubMed          Journal:  Ann Transl Med        ISSN: 2305-5839


The Genant’s semi-quantitative (GSQ) criteria is currently the most used approach in epidemiology studies and clinical trials for osteoporotic vertebral deformity (OVD, also referred to as osteoporotic vertebral fracture in some literatures) evaluation with radiograph (1-3). The qualitative diagnosis with radiological knowledge helps to minimize false positive readings due to vertebral physiological wedging, degenerative wedging, and other congenital anomalies. Also, importantly, radiological evaluation can detect subtle changes that may be clinically important, such as endplate and/or cortex fracture (ECF) (4). However, unless there is a face-to-face training with experienced readers, it can be difficult to apply GSQ criteria by only reading the text description of Genant et al, even for a musculoskeletal radiologist (5-10). There are two main difficulties. The first difficulty is to decide whether a mild OVD exists for a vertebra, or it is only a physiological wedging or degenerative wedging. The second difficulty is the precise grading (8,10). The agreement among readers for OVD GSQ grading can be poor; this point has been well discussed in literature (5-8). These difficulties may not be so an issue for clinical practice; but can cause problems for epidemiological studies or drug trial follow-ups, and particularly for cross-center results comparison. One more point concerns GSQ grade-0.5, which refers to OVDs with less than 20% height loss. However, while GSQ grade-0.5 OVDs are common, it is less reported and discussed in literature. Actually, many GSQ grade-0.5 OVDs might have been assigned as SQ grade-1 in literature. The examples can be seen in both Genant et al.’s 1993 original paper [Figure 2A of Genant et al. (1), mild OVD with less than 20% height loss] and international osteoporosis foundation’s teaching materials (slide 14 at https://www.iofbonehealth.org/what-we-do/training-and-education/educational-slide-its/vertebral-fracture-teaching-program, accessed on December 17, 2019). Based on our experience in epidemiology studies and previous work (10-14), we propose an expanded semi-quantitative (eSQ) OVD classification () with the following features: (I) GSQ grade-0.5 is noted as minimal grade (eSQ grade-1) for OVDs with height loss <20%. Note, the clinical relevance of these OVDs is not necessarily linearly related to the extent of height loss. eSQ grade-1 OVD can be important for some cases seen in clinical practice, particularly when there is associated ECF (4,11,15-19); (II) GSQ mild grade (grade-1) is the same as eSQ mild grade (grade-2); (III) GSQ moderate grade (grade-2) is subdivided into eSQ grade-3 (moderate, >25%–1/3 height loss) and eSQ grade-4 (moderately-severe, >1/3–40% height loss). OVDs with >1/3 height loss are always associated with positive ECF sign radiographically (this is the reason for such a subdivision) (11,12,14). The importance of recognizing ECF has been well discussed (8,11,12,15,16), and how to recognize ECF has also been explained (4,20-23); (IV) GSQ severe grade is subdivided into eSQ grade-5 (severe, >40%–2/3 height loss) and eSQ grade-6 (collapsed, with >2/3 height loss). Such a subdivision is useful in assessing VD progression, e.g., an OVD with 45% height loss progressed to 75% height loss can be noted as a progression from eSQ grade-5 to eSQ grade-6; while such a message cannot be communicated with original GSQ criteria. Note this eSQ grading criteria can also be flexibly modified to suit individual study’s need. For example, the subdivision between 25% and 40% vertebral height loss (>25%–1/3 for eSQ grade-3 and 1/3–40% for eSQ grade-4) can be removed, so that GSQ’s moderate grade will be the same as the eSQ’s moderate grade; or all OVD with >1/3 vertebral height loss (thus always associated with ECF) could be graded as ‘severe’ (10,14). This eSQ is intended primarily for research purpose. For daily practice, a simpler classification would suffice (10).
Table 1

Vertebral height loss criteria for GSQ grading and eSQ grading*

GradingExtent of vertebral height loss
<20%≥20–25%>25–1/3>1/3–40%>40%–2/3>2/3
Genant SQGrade-0.5Grade-1Grade-2Grade-3
Genant SQMildModerateSevere
Extended SQGrade-1Grade-2Grade-3Grade-4Grade-5Grade-6
Extended SQMinimalMildModerateModerately-severeSevereCollapsed

*, vertebrae with normal radiographical morphology is noted as grade-0.

*, vertebrae with normal radiographical morphology is noted as grade-0. A qualitive diagnosis of OVD should be made prior to estimation of the extent vertebral height loss; and for diagnosis of OVD, a lack of morphological consistency with the adjacent vertebrae is the key (1,2,7). On the other hand, strict morphometric measurement can over-diagnose OVD (8). This may be more a problem for the mid-thoracic spine (24). Wedging from remodeling in osteoarthritis should not be confused with wedging due to osteoporotic fracture (25). Wang et al. suggested that OVD at mid-thoracic spine level might have been over-diagnosed in many literature reports, particularly for males (24). In their MrOS (USA) follow-up, Freitas et al. also noted that the proportion of both clinically and radiographically diagnosed VF at mid-thoracic spine level was low (26). Another issue is how to assess vertebral height loss, should the shortest longitudinal axis of the vertebra to be compared with its posterior height, or with the adjacent vertebrae (9)? To compare the height loss of a vertebra with its adjacent vertebrae will be more reasonable, as the ratio of anterior height to posterior height varies among different vertebral levels, being smallest at mid-thoracic level, being equal to one at L2 level, and this ratio can be >1 at lower lumbar vertebrae (27,28). This pattern may also vary among individuals. Additionally, due to the existence of the vertebral posterior ‘lipping’ (‘uncinate process’ in some morphometry literatures), the posterior height measure can cause inconsistencies. The examples in this article emphasize the point that we estimate vertebral height loss with adjacent vertebral heights as the reference (, Supplementary file, ). This will of course cause problem when more than one OVD occur simultaneously in one location. For such cases, vertebral height loss estimation can be made by comparing with other normal appearing vertebrae as well as taking consideration of the posterior vertebral height ().
Figure 1

Estimation of the height loss of a vertebra. If vertebra V2 is qualitatively evaluated to have deformity, while vertebra V1 and vertebra V3 are without deformity, and if a, c, e are of similar height, then the expected d = (b + f) ×0.5. If d is shortened while measured more (higher) than g, then the expected g (for V2 without deformity) can be estimated as (g' + g'') ×0.5, thus the percentage height loss of V2 is 1 − g/[(g' + g'') ×0.5].

Figure S1

Examples of placement of the points used for quantitative measurement [modified from Genant et al. (1)]. Contrasting the 6 points method, we take the longitudinal axis with the most severe height loss for measurement.

Figure S2

Measurement of T8 OVD height loss, the reference was the mean of T7 and T9 (measure twice and take the mean).

Figure S3

Measurement of T10 OVD height loss, the reference was only T11 as both T8 and T9 have OVD as well (measure twice and take the mean).

Figure S4

Measurement of T12 OVD height loss, the reference was the mean of T11 and L1 (measure twice and take the mean).

Figure S5

Measurement of T12 OVD height loss, the reference was the mean of T11 and L1.

Estimation of the height loss of a vertebra. If vertebra V2 is qualitatively evaluated to have deformity, while vertebra V1 and vertebra V3 are without deformity, and if a, c, e are of similar height, then the expected d = (b + f) ×0.5. If d is shortened while measured more (higher) than g, then the expected g (for V2 without deformity) can be estimated as (g' + g'') ×0.5, thus the percentage height loss of V2 is 1 − g/[(g' + g'') ×0.5]. This article presents the lateral spine radiograph of 36 cases with OVD (), one case of thoracic spine osteoarthritis (), and one case with vertebra L3 inferior endplate developmental variant (). The latter two cases could be mistaken as having OVD. All the cases were Chinese females aged more than 55 years old. To avoid potential controversies, ECF is not annotated in these illustrate cases. Though a vertebra with ECF is not necessarily associated with height loss, ECF usually occurs in the vertebrae with various extents of height loss. The higher extent of vertebral height loss, the more likely ECF exists in a vertebra with osteoporotic deformity, so that when the height loss of a vertebral is >1/3, ECF can always be detected radiographically (11,12,14). Osteoporotic vertebral height loss is also highly predictive of future ECF development (11,12)
Figure 2

Vertebra T7 OVD, estimated 25–33% height loss (GSQ grade-2, eSQ grading: moderate).

Figure 3

Vertebra T5 and T11 OVD. T5 measured 22% height loss (GSQ: grade-1, eSQ grading: mild). The reading results was three readers suggesting GSQ grade-0.5 (eSQ grading: minimal) and two readers suggesting GSQ grade-1 (eSQ grading: mild), one reader suggesting normal due to singular vertebra slightly rotated (fontal review confirmation for this case was not available). Vertebra T11 OVD, estimated 25–33% height loss (GSQ grade-2, eSQ grading: moderate).

Figure 4

Vertebrae T11 and L3 OVD. T11 estimated 20–25% height loss (GSQ: grade-1, eSQ grading: mild). Vertebra L3 OVD, estimated 25–33% height loss (GSQ grade-2, eSQ grading: moderate).

Figure 5

Vertebra T12 OVD, estimated 34–40% height loss (GSQ grade-2, eSQ grading: moderately-severe).

Figure 6

Vertebra T12 OVD, estimated >67% height loss (GSQ grade-3, eSQ grading: collapsed).

Figure 7

Vertebra T12 OVD, measured 40% height loss (estimated GSQ grade-2, eSQ grading: moderately-severe; or borderline GSQ grade-2/3, eSQ grading: borderline moderately-severe/severe).

Figure 8

Vertebra T11 and T12 OVD. T11 measured 33% height loss (GSQ: grade-2, eSQ grading: moderately-severe, or borderline moderate/moderately-severe). T12 estimated GSQ grade-1, eSQ grading: mild.

Figure 9

Vertebra L1 OVD, estimated >67% vertebral height loss (arrow, GSQ grade-3 and eSQ grading: collapsed).

Figure 10

Vertebrae T9 and T12 OVD. T9 GSQ: grade-3, eSQ: severe (2 readers voted for eSQ grading: severe and 4 other readers voted for eSQ grading: collapsed), measured 46% height loss. T12 estimated GSQ borderline grade-2/3 and eSQ grading: borderline moderately-severe/severe (3 readers voted for eSQ grading: moderately-severe and 3 other readers voted for eSQ grading: severe; measured 39% height loss). For the possible explanation of the different estimations, please see .

Figure 11

Vertebra T12 OVD, estimated 20–25% height loss (GSQ grade-1, eSQ grading: mild)

Figure 12

Vertebra T8 OVD. For estimation, two readers voted for GSQ grade-1 and eSQ grading: mild; four readers voted for GSQ grade-2 and eSQ grading: moderate. Measurement suggests approximately 22% vertebral height loss (GSQ grade-1, eSQ grading: mild).

Figure 13

Vertebra L2 OVD, with GSQ grade-1 and eSQ grading: mild (4 readers voted for GSQ grade-1, eSQ grading: mild; 2 readers voted for GSQ grade-2 and eSQ grading: moderate). Based on measurement, the consensus was GSQ grade-1 and eSQ grading: mild.

Figure 14

Vertebra T9 and T11 OVD. T9 GSQ grade-0.5 and eSQ grading: minimal (4 reader voted for eSQ grading: minimal; one reader thought it is normal, and while one reader voted for eSQ grading: mild). T9 measured 13% height loss. T11 estimated GSQ grade-3 and eSQ grading: borderline severe/collapsed.

Figure 15

Vertebrae T6 and T12 OVD, both with GSQ grade-2 and eSQ grading: moderate.

Figure 16

Vertebra T8 OVD, estimated GSQ grade-3 and eSQ grading: severe.

Figure 17

Vertebra T12 OVD, estimated GSQ grade-2 and eSQ grading: moderate.

Figure 18

Vertebra T7 OVD, estimated GSQ: grade-2 and eSQ: moderately-severe.

Figure 19

Vertebra T11 OVD, estimated GSQ grade-3 and eSQ grading: severe.

Figure 20

Vertebra T11 OVD, estimated GSQ grade-2 and eSQ grading: moderately-severe.

Figure 21

Vertebra T11 OVD, estimated GSQ grade-2 and eSQ grading: moderate.

Figure 22

Vertebra L1 OVD, estimated GSQ grade-2 and eSQ grading: moderate.

Figure 23

Vertebrae T6, T9, T11 OVD. T6 estimated GSQ grade-2 and eSQ: moderately-severe. T9 estimated GSQ grade-2 and eSQ grading: moderate. T11 estimated GSQ grade-1 and eSQ grading: mild.

Figure 24

T9 OVD, estimated GSQ grade 1 and eSQ grading: mild.

Figure 25

T8 OVD, estimated SQ grade-1 and eSQ grading: mild.

Figure 26

L1 OVD. L1 borderline GSQ grade-1/2 and eSQ grading: mild/moderate (two readers voted for grade-1, while four readers voted for GSQ grade-2 and eSQ grading: moderate). There is an upper endplate Schmorl node.

Figure 27

T8 OVD, estimated SQ grade-2 and eSQ grading: moderate.

Figure 28

T11 OVD, estimated SQ grade-1 and eSQ grading: mild.

Figure 29

Vertebrae T12 and L1 OVD. T12 estimated SQ grade-2 and eSQ grading: moderate. L1 estimated SQ grade-1 and eSQ grading: mild. These vertebrae co-exist with osteoarthritis.

Figure 30

Vertebrae T10, T11, T12, L1, L3 OVD. T10 estimated GSQ grade-2 and eSQ grading: moderate. T11 estimated GSQ grade-1 and eSQ grading: mild. T12 estimated GSQ grade-0.5 and eSQ grading: minimal (2 of the 6 readers voted for GSQ grade-1 and eSQ grading: mild). L1 estimated GSQ grade-3 and eSQ grading: severe. L3 GSQ: grade-2 and eSQ grading: moderate.

Figure 31

T12 OVD, estimated SQ grade-3 and eSQ severe.

Figure 32

Vertebrae T10 and T11 OVD. T10 estimated SQ grade-0.5 and eSQ grading: minimal. T11 estimated SQ grade-1 and eSQ grading: mild.

Figure 33

T7 OVD, estimated SQ grade-1 and eSQ grading: mild.

Figure 34

T8 OVD, estimated SQ grade-0.5 and eSQ grading: minimal.

Figure 35

Vertebrae T11 and T12 OVD. T11 estimated GSQ grade-2 and eSQ grading: moderate. T12 estimated SQ grade-3 and eSQ grading: collapsed.

Figure 36

T11 OVD, estimated SQ grade-1 and eSQ grading: mild.

Figure 37

Vertebrae T5, T8, T9, T10, T12, L1, L2 OVD. T5 estimated GSQ grade-3 and eSQ grading: collapsed (5 readers voted for ‘collapsed’, one reader think it was normal and it was false positive due to lung markings). T8 estimated GSQ grade-3 and eSQ grading: severe. T9 estimated GSQ grade-3 and eSQ grading: severe. T10 estimated GSQ grade-2 and eSQ grading: moderate (for this vertebra, only the regular shape appearing T11 could be used as reference). T12 estimated GSQ grade-2 and eSQ grading: moderately-severe. L1 estimated GSQ grade-2 and eSQ grading: moderately-severe. L2 estimated GSQ grade-0.5 and eSQ grading: minimal (*: the upper endplate depression). Vertebra L3 inferior endplate developmental variant*, whether there is OVD cannot be determined.

Figure 38

T11 and T12 wedging due to osteoarthritis (see reference 25). Both vertebrae show anterior wedging rather than bi-concave middle height-loss. T11/T12 interverbal disc narrowing and T11/T12/T13 osteophytes are noted.

Figure 39

Vertebra L3 inferior endplate developmental variant (possible diagnostic pitfall: endplate fracture).

Vertebra T7 OVD, estimated 25–33% height loss (GSQ grade-2, eSQ grading: moderate). Vertebra T5 and T11 OVD. T5 measured 22% height loss (GSQ: grade-1, eSQ grading: mild). The reading results was three readers suggesting GSQ grade-0.5 (eSQ grading: minimal) and two readers suggesting GSQ grade-1 (eSQ grading: mild), one reader suggesting normal due to singular vertebra slightly rotated (fontal review confirmation for this case was not available). Vertebra T11 OVD, estimated 25–33% height loss (GSQ grade-2, eSQ grading: moderate). Vertebrae T11 and L3 OVD. T11 estimated 20–25% height loss (GSQ: grade-1, eSQ grading: mild). Vertebra L3 OVD, estimated 25–33% height loss (GSQ grade-2, eSQ grading: moderate). Vertebra T12 OVD, estimated 34–40% height loss (GSQ grade-2, eSQ grading: moderately-severe). Vertebra T12 OVD, estimated >67% height loss (GSQ grade-3, eSQ grading: collapsed). Vertebra T12 OVD, measured 40% height loss (estimated GSQ grade-2, eSQ grading: moderately-severe; or borderline GSQ grade-2/3, eSQ grading: borderline moderately-severe/severe). Vertebra T11 and T12 OVD. T11 measured 33% height loss (GSQ: grade-2, eSQ grading: moderately-severe, or borderline moderate/moderately-severe). T12 estimated GSQ grade-1, eSQ grading: mild. Vertebra L1 OVD, estimated >67% vertebral height loss (arrow, GSQ grade-3 and eSQ grading: collapsed). Vertebrae T9 and T12 OVD. T9 GSQ: grade-3, eSQ: severe (2 readers voted for eSQ grading: severe and 4 other readers voted for eSQ grading: collapsed), measured 46% height loss. T12 estimated GSQ borderline grade-2/3 and eSQ grading: borderline moderately-severe/severe (3 readers voted for eSQ grading: moderately-severe and 3 other readers voted for eSQ grading: severe; measured 39% height loss). For the possible explanation of the different estimations, please see .
Figure S6

To measure the height loss of T9, the height measured by the yellow line of T9 was compared with the mean height of T8 and T10 (also measured by the yellow line). However, for visual estimation, a tendency could occur that the readers take the heights denoted by red lines to estimate, which could lead to overestimation of the height loss.

Vertebra T12 OVD, estimated 20–25% height loss (GSQ grade-1, eSQ grading: mild) Vertebra T8 OVD. For estimation, two readers voted for GSQ grade-1 and eSQ grading: mild; four readers voted for GSQ grade-2 and eSQ grading: moderate. Measurement suggests approximately 22% vertebral height loss (GSQ grade-1, eSQ grading: mild). Vertebra L2 OVD, with GSQ grade-1 and eSQ grading: mild (4 readers voted for GSQ grade-1, eSQ grading: mild; 2 readers voted for GSQ grade-2 and eSQ grading: moderate). Based on measurement, the consensus was GSQ grade-1 and eSQ grading: mild. Vertebra T9 and T11 OVD. T9 GSQ grade-0.5 and eSQ grading: minimal (4 reader voted for eSQ grading: minimal; one reader thought it is normal, and while one reader voted for eSQ grading: mild). T9 measured 13% height loss. T11 estimated GSQ grade-3 and eSQ grading: borderline severe/collapsed. Vertebrae T6 and T12 OVD, both with GSQ grade-2 and eSQ grading: moderate. Vertebra T8 OVD, estimated GSQ grade-3 and eSQ grading: severe. Vertebra T12 OVD, estimated GSQ grade-2 and eSQ grading: moderate. Vertebra T7 OVD, estimated GSQ: grade-2 and eSQ: moderately-severe. Vertebra T11 OVD, estimated GSQ grade-3 and eSQ grading: severe. Vertebra T11 OVD, estimated GSQ grade-2 and eSQ grading: moderately-severe. Vertebra T11 OVD, estimated GSQ grade-2 and eSQ grading: moderate. Vertebra L1 OVD, estimated GSQ grade-2 and eSQ grading: moderate. Vertebrae T6, T9, T11 OVD. T6 estimated GSQ grade-2 and eSQ: moderately-severe. T9 estimated GSQ grade-2 and eSQ grading: moderate. T11 estimated GSQ grade-1 and eSQ grading: mild. T9 OVD, estimated GSQ grade 1 and eSQ grading: mild. T8 OVD, estimated SQ grade-1 and eSQ grading: mild. L1 OVD. L1 borderline GSQ grade-1/2 and eSQ grading: mild/moderate (two readers voted for grade-1, while four readers voted for GSQ grade-2 and eSQ grading: moderate). There is an upper endplate Schmorl node. T8 OVD, estimated SQ grade-2 and eSQ grading: moderate. T11 OVD, estimated SQ grade-1 and eSQ grading: mild. Vertebrae T12 and L1 OVD. T12 estimated SQ grade-2 and eSQ grading: moderate. L1 estimated SQ grade-1 and eSQ grading: mild. These vertebrae co-exist with osteoarthritis. Vertebrae T10, T11, T12, L1, L3 OVD. T10 estimated GSQ grade-2 and eSQ grading: moderate. T11 estimated GSQ grade-1 and eSQ grading: mild. T12 estimated GSQ grade-0.5 and eSQ grading: minimal (2 of the 6 readers voted for GSQ grade-1 and eSQ grading: mild). L1 estimated GSQ grade-3 and eSQ grading: severe. L3 GSQ: grade-2 and eSQ grading: moderate. T12 OVD, estimated SQ grade-3 and eSQ severe. Vertebrae T10 and T11 OVD. T10 estimated SQ grade-0.5 and eSQ grading: minimal. T11 estimated SQ grade-1 and eSQ grading: mild. T7 OVD, estimated SQ grade-1 and eSQ grading: mild. T8 OVD, estimated SQ grade-0.5 and eSQ grading: minimal. Vertebrae T11 and T12 OVD. T11 estimated GSQ grade-2 and eSQ grading: moderate. T12 estimated SQ grade-3 and eSQ grading: collapsed. T11 OVD, estimated SQ grade-1 and eSQ grading: mild. Vertebrae T5, T8, T9, T10, T12, L1, L2 OVD. T5 estimated GSQ grade-3 and eSQ grading: collapsed (5 readers voted for ‘collapsed’, one reader think it was normal and it was false positive due to lung markings). T8 estimated GSQ grade-3 and eSQ grading: severe. T9 estimated GSQ grade-3 and eSQ grading: severe. T10 estimated GSQ grade-2 and eSQ grading: moderate (for this vertebra, only the regular shape appearing T11 could be used as reference). T12 estimated GSQ grade-2 and eSQ grading: moderately-severe. L1 estimated GSQ grade-2 and eSQ grading: moderately-severe. L2 estimated GSQ grade-0.5 and eSQ grading: minimal (*: the upper endplate depression). Vertebra L3 inferior endplate developmental variant*, whether there is OVD cannot be determined. T11 and T12 wedging due to osteoarthritis (see reference 25). Both vertebrae show anterior wedging rather than bi-concave middle height-loss. T11/T12 interverbal disc narrowing and T11/T12/T13 osteophytes are noted. Vertebra L3 inferior endplate developmental variant (possible diagnostic pitfall: endplate fracture). This article has several aims. Since original GSQ criteria was primarily explained by text (1), rather than by lots of examples, the examples in this article can serve as teaching material for readers who will use GSQ criteria. The second aim is to explain our eSQ criteria () by examples. Our feeling is that eSQ criteria may be easier to apply than the original SQ criteria in research settings. Though Genant et al. described GSQ grade-0.5 (1), it was rarely used and reported. The introduction of a formal eSQ grade-1 (minimal grade) may solve the problem when a qualitative OVD exists but it does not look like achieving the threshold of ≥20% vertebral height loss. Thus, the reader is not forced to make a ‘Yes’ or ‘No’ choice. Another issue is that, for OVDs at the severe end of GSQ grade-2, it can be ambiguous on should they be assigned to GSQ grade-2 or GSQ grade-3; and introduction of eSQ grade-4 (severely-moderate) may make the assignment more comfortable for the assessors. The examples in this article have been read by experts including three of them trained in the original UCSF group. The development of the illustrations followed Delphi principle (29). There were two readers in Hong Kong (YXJ Wáng, N Che-Nordin) who read the images in consensus and counted as one reader. There were additional five primary readers (D Diacinti, W Yu, XG Cheng, MH Nogueira-Barbosa, F Ruiz Santiago). To achieve consensus, the images were read three rounds. We tried to solve the initial differences by consensus building and assisted by vertebral height measurement for borderline cases. Then one more reader (G Guglielmi) read the images and agreed the final results. Note as described by Genant et al. the gradings were primarily estimated (1-3), and there is no ground truth for the grading. A number of disagreements still remain in the end, and disagreements are also presented in this article. It is quite reasonable that disagreements exist for borderline cases. A general trend was noted that, compared with measured results, visually estimated results tend to overestimate the severity of vertebral height loss. While upper and lower endplates and their rings may show double-lines or triple/multiple-lines, it is possible that readers tend to use the most depressed line to visually estimate; while this can induce over-estimation of vertebral height loss (). Such inflated estimation would still be acceptable as long as the same standard is used for all readers, and the same standard is applied for baseline and follow-up studies. In such a scenario, readers’ performance should be continuously calibrated using an image database, as it has been known that individual reader’s assessment attitude may shift overtime (30). According to our preliminary testing, measurement results with good consistency could be obtained across different readers (YXJ Wáng, D Diacinti, F Ruiz Santiago took part in the testing without face-to-face interaction), though this point needs to be further validated. For the future, it is expected that artificial intelligence enabled techniques may improve the speed and consistency of vertebral height loss measurement. Examples of placement of the points used for quantitative measurement [modified from Genant et al. (1)]. Contrasting the 6 points method, we take the longitudinal axis with the most severe height loss for measurement. Measurement of T8 OVD height loss, the reference was the mean of T7 and T9 (measure twice and take the mean). Measurement of T10 OVD height loss, the reference was only T11 as both T8 and T9 have OVD as well (measure twice and take the mean). Measurement of T12 OVD height loss, the reference was the mean of T11 and L1 (measure twice and take the mean). Measurement of T12 OVD height loss, the reference was the mean of T11 and L1. To measure the height loss of T9, the height measured by the yellow line of T9 was compared with the mean height of T8 and T10 (also measured by the yellow line). However, for visual estimation, a tendency could occur that the readers take the heights denoted by red lines to estimate, which could lead to overestimation of the height loss.
  29 in total

Review 1.  Identifying osteoporotic vertebral endplate and cortex fractures.

Authors:  Yì Xiáng J Wáng; Fernando Ruiz Santiago; Min Deng; Marcello H Nogueira-Barbosa
Journal:  Quant Imaging Med Surg       Date:  2017-10

2.  Informed communication with study subjects of radiographically detected osteoporotic vertebral deformity.

Authors:  Yì Xiáng J Wáng; Nazmi Che-Nordin
Journal:  Quant Imaging Med Surg       Date:  2018-09

3.  Degree of vertebral wedging of the dorso-lumbar spine.

Authors:  K N Lauridsen; A De Carvalho; A H Andersen
Journal:  Acta Radiol Diagn (Stockh)       Date:  1984

4.  Comparative Analysis of the Radiology of Osteoporotic Vertebral Fractures in Women and Men: Cross-Sectional and Longitudinal Observations from the Canadian Multicentre Osteoporosis Study (CaMos).

Authors:  Brian C Lentle; Claudie Berger; Linda Probyn; Jacques P Brown; Lisa Langsetmo; Ben Fine; Kevin Lian; Arvind K Shergill; Jacques Trollip; Stuart Jackson; William D Leslie; Jerilynn C Prior; Stephanie M Kaiser; David A Hanley; Jonathan D Adachi; Tanveer Towheed; K Shawn Davison; Angela M Cheung; David Goltzman
Journal:  J Bone Miner Res       Date:  2017-08-07       Impact factor: 6.741

5.  Misdiagnosis of vertebral fractures on local radiographic readings of the multicentre POINT (Prevalence of Osteoporosis in INTernal medicine) study.

Authors:  Daniele Diacinti; Claudio Vitali; Gualberto Gussoni; Daniela Pisani; Luigi Sinigaglia; Gerolamo Bianchi; Ranuccio Nuti; Luigi Gennari; Stefano Pederzoli; Maddalena Grazzini; Antonella Valerio; Antonino Mazzone; Carlo Nozzoli; Mauro Campanini; Carlina V Albanese
Journal:  Bone       Date:  2017-05-13       Impact factor: 4.398

6.  Difficulties in the diagnosis of vertebral fracture in men: agreement between doctors.

Authors:  Jacques Fechtenbaum; Karine Briot; Simon Paternotte; Maurice Audran; Véronique Breuil; Bernard Cortet; Françoise Debiais; Franck Grados; Pascal Guggenbuhl; Michel Laroche; Erick Legrand; Eric Lespessailles; Christian Marcelli; Philippe Orcel; Pawel Szulc; Thierry Thomas; Sami Kolta; Christian Roux
Journal:  Joint Bone Spine       Date:  2014-01-23       Impact factor: 4.929

7.  Comparison of methods for the visual identification of prevalent vertebral fracture in osteoporosis.

Authors:  G Jiang; R Eastell; N A Barrington; L Ferrar
Journal:  Osteoporos Int       Date:  2004-04-08       Impact factor: 4.507

8.  Vertebral fracture assessment using a semiquantitative technique.

Authors:  H K Genant; C Y Wu; C van Kuijk; M C Nevitt
Journal:  J Bone Miner Res       Date:  1993-09       Impact factor: 6.741

9.  Aging of the thoracic spine: distinction between wedging in osteoarthritis and fracture in osteoporosis--a cross-sectional and longitudinal study.

Authors:  A Abdel-Hamid Osman; H Bassiouni; R Koutri; J Nijs; P Geusens; J Dequeker
Journal:  Bone       Date:  1994 Jul-Aug       Impact factor: 4.398

10.  How to define an osteoporotic vertebral fracture?

Authors:  Daniele Diacinti; Giuseppe Guglielmi
Journal:  Quant Imaging Med Surg       Date:  2019-09
View more
  9 in total

Review 1.  The role of radiography in the study of spinal disorders.

Authors:  Fernando Ruiz Santiago; Antonio Jesús Láinez Ramos-Bossini; Yì Xiáng J Wáng; Daniel López Zúñiga
Journal:  Quant Imaging Med Surg       Date:  2020-12

Review 2.  'Healthier Chinese spine': an update of osteoporotic fractures in men (MrOS) and in women (MsOS) Hong Kong spine radiograph studies.

Authors:  Yì Xiáng J Wáng; Min Deng; James F Griffith; Anthony W L Kwok; Jason C S Leung; Patti M S Lam; Blanche Wai Man Yu; Ping Chung Leung; Timothy C Y Kwok
Journal:  Quant Imaging Med Surg       Date:  2022-03

3.  Much lower prevalence and severity of radiographic osteoporotic vertebral fracture in elderly Hong Kong Chinese women than in age-matched Rome Caucasian women: a cross-sectional study.

Authors:  Yì Xiáng J Wáng; Davide Diacinti; Jason C S Leung; Antonio Iannacone; Endi Kripa; Timothy C Y Kwok; Daniele Diacinti
Journal:  Arch Osteoporos       Date:  2021-11-16       Impact factor: 2.617

4.  An update of our understanding of radiographic diagnostics for prevalent osteoporotic vertebral fracture in elderly women.

Authors:  Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2022-07

5.  Diagnosis and grading of radiographic osteoporotic vertebral deformity by general radiologists after a brief self-learning period.

Authors:  Yì Xiáng J Wáng; Wei-Hong Liu; Davide Diacinti; Da-Wei Yang; Antonio Iannacone; Xiao-Rong Wang; Endi Kripa; Nazmi Che-Nordin; Daniele Diacinti
Journal:  J Thorac Dis       Date:  2020-09       Impact factor: 2.895

6.  Improving osteoporotic vertebral deformity detection on chest frontal view radiograph by adjusted X-ray beam positioning.

Authors:  Er-Zhu Du; Wei-Hong Liu; Yì Xiáng J Wáng
Journal:  J Orthop Translat       Date:  2021-05-05       Impact factor: 5.191

7.  Finite element analysis of wedge and biconcave deformity in four different height restoration after augmentation of osteoporotic vertebral compression fractures.

Authors:  Xiao-Hua Zuo; Yin-Bing Chen; Peng Xie; Wen-Dong Zhang; Xiang-Yun Xue; Qian-Xi Zhang; Ben Shan; Xiao-Bing Zhang; Hong-Guang Bao; Yan-Na Si
Journal:  J Orthop Surg Res       Date:  2021-02-15       Impact factor: 2.359

8.  A software program for automated compressive vertebral fracture detection on elderly women's lateral chest radiograph: Ofeye 1.0.

Authors:  Ben-Heng Xiao; Michael S Y Zhu; Er-Zhu Du; Wei-Hong Liu; Jian-Bing Ma; Hua Huang; Jing-Shan Gong; Davide Diacinti; Kun Zhang; Bo Gao; Heng Liu; Ri-Feng Jiang; Zhong-You Ji; Xiao-Bao Xiong; Lai-Chang He; Lei Wu; Chuan-Jun Xu; Mei-Mei Du; Xiao-Rong Wang; Li-Mei Chen; Kong-Yang Wu; Liu Yang; Mao-Sheng Xu; Daniele Diacinti; Qi Dou; Timothy Y C Kwok; Yì Xiáng J Wáng
Journal:  Quant Imaging Med Surg       Date:  2022-08

9.  Estimations of bone mineral density defined osteoporosis prevalence and cutpoint T-score for defining osteoporosis among older Chinese population: a framework based on relative fragility fracture risks.

Authors:  Yì Xiáng J Wáng; Ben-Heng Xiao
Journal:  Quant Imaging Med Surg       Date:  2022-09
  9 in total

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