Literature DB >> 28681691

Four-dimensional rotational radiographic scanning of the wrist in patients after proximal row carpectomy.

A Peymani1, M Foumani1, J G G Dobbe2, S D Strackee1, G J Streekstra2.   

Abstract

We measured cartilage thickness, contact surface area, volume of the capitate and shape of the capitate during motion in the operated and unaffected wrists of 11 patients with a mean follow-up of 7.3 years after proximal row carpectomy. Radiocapitate cartilage thickness in the operated wrists did not differ significantly from radiolunate cartilage thickness in the unaffected wrists. The radiolunate surface area was significantly less than the radiocapitate surface area. The volume of the capitate was significantly increased in the operated wrists. The shape of the capitate changed significantly in two of three orthogonal directions. The combination of remodelling of the capitate, increase in its surface area and intact cartilage thickness could help to explain the clinical success of proximal row carpectomy.

Entities:  

Keywords:  Wrist; biomechanics; dynamic wrist imaging; proximal row carpectomy

Mesh:

Year:  2017        PMID: 28681691      PMCID: PMC5598872          DOI: 10.1177/1753193417718427

Source DB:  PubMed          Journal:  J Hand Surg Eur Vol        ISSN: 0266-7681


Introduction

Proximal row carpectomy (PRC) is used in the treatment of various post-traumatic and degenerative disorders of the wrist (Inglis and Jones, 1977). In many patients, it provides good long-term results, including maintenance of function and pain relief (Berkhout et al., 2015; Richou et al., 2010). The biomechanics of the wrist after PRC may provide information about the mechanisms whereby these results are attained. Until now they have been studied almost exclusively in static cadaveric models; this has several disadvantages, including the need to artificially load tendons and the disruption of ligaments (Blankenhorn et al., 2007; Hogan et al., 2004; Tang et al., 2009; Zhu et al., 2010). It is also not possible to investigate the changes that occur after soft tissue healing, scar tissue formation, capsular scarring and bone remodelling over time (Debottis et al., 2013; Tang et al., 2009; Zhu et al., 2010). The purpose of our study was to investigate the effects of PRC on wrist joint kinematics in patients.

Methods

Setting and study population

A total of 64 individuals who had undergone a unilateral PRC between 1998 and 2007 were invited to take part in the study. Patients were invited if they had normal non-operated contralateral wrists without any history of trauma or systemic diseases. Eleven patients agreed to participate. The mean post-operative follow-up was 7.3 years (SD 3.4; range 1.9–10.7). The participants underwent computed tomography (CT) and four-dimensional rotational radiographic (4D-RX) scanning (Carelsen et al., 2005) of both wrists. Additionally, to investigate any anatomical differences between the carpal bones of the left and right hand, 12 healthy participants (four men, eight women; mean age of 24, SD 2.4, range 22–31) were studied. These participants had no history of congenital wrist abnormalities or wrist injuries and underwent CT-scans of both wrists. The local medical ethics committee approved this study.

Assessment and measurement of carpal bone kinematics

To record wrist bone positions during motion we used 4D-RX imaging (Carelsen et al., 2005). This method uses a static CT scan to obtain virtual three-dimensional (3D) models of the radius, ulna and carpal bones through segmentation (Figure 1) by the use of a previously described algorithm (Carelsen et al., 2009). Using a regular 3D rotational X-ray system (BV Pulsera, Philips Healthcare, The Netherlands), the static CT scans are combined with dynamic scans made during three motions: flexion-extension motion, radio-ulnar deviation and dart-throwing motion. Finally, virtual bone models are aligned with dynamic scans by registration, thereby quantifying motion patterns of wrist bones in vivo (Foumani et al., 2009, 2013).
Figure 1.

3D reconstruction of the radius, ulna and carpal bones after segmentation.

3D reconstruction of the radius, ulna and carpal bones after segmentation. A motorized hand-shaker device (Carelsen et al., 2009) was used to move the wrist with an imposed range of motion (ROM) set for each patient individually to avoid any pain or discomfort. During each of the three motions the X-ray source was rotated around the wrist to acquire 20 volume reconstructions, each reconstruction corresponding to a unique wrist position. Assessment of 4D-RX imaging data in a previous study demonstrated a precision of 0.02 mm (SD 0.005) for translation and 0.12° (SD 0.07) for rotation (Carelsen et al., 2009).

Computation of joint space thickness and articular surface area

Individual articular cartilage layers could not be visualized owing to limitations of CT imaging; however, subchondral bone just below the cartilage layer was clearly definable. Total cartilage thickness could therefore be approximated by determining the distance between opposing subchondral bones. In this study, the joint space thickness was defined as the thickness of articular cartilage between the lunate and radius (unaffected wrists), or between the capitate and radius (operated wrists). For each wrist position, joint space thickness was calculated using a previously specified method (Foumani et al., 2013). To this end, for each point on a bone, the nearest point to the opposite bone was determined using a k-Nearest Neighbors algorithm (Supplementary Video 1). To filter points contributing to the articular surface, two constraints were applied. First, the distance between a point on a bone and a point on an opposite bone should be less than 4 mm. The second constraint was a maximum angle difference of 15° between the normal vector of a point (vector perpendicular to the bone surface) and the normal vector of an opposite point. Thresholds of 4 mm and 15° were chosen pragmatically (Foumani et al., 2013). Joining all these points during motion provided the articular surface area defined as the area on the radius with which the lunate or capitate articulates (Figure 2).
Figure 2.

Articular surface areas of the radius with the lunate (left) and capitate (right). The colour map indicates the shortest distance to the neighbouring bone during the entire motion.

Articular surface areas of the radius with the lunate (left) and capitate (right). The colour map indicates the shortest distance to the neighbouring bone during the entire motion. The minimum distance to the opposite bone during motion was determined for each point, representing a situation where articular cartilage layers were minimal. The mean of these distances for all points in the articular surface area provided the joint space thickness. The mean joint space thickness was calculated by taking the mean of the radius-to-lunate and lunate-to-radius distances (unaffected wrists) or the mean of the radius-to-capitate and capitate-to-radius distances (operated wrists). The joint space thickness and articular surface areas were recalculated for the combination of all three motions (60 wrist positions in all).

Assessment of the volume and shape of the capitate

The volume of the capitate was calculated from its virtual model. To enable shape comparisons, each capitate was described as an ellipsoid with three gravitational axes (Goldstein et al., 2002) of lengths (ranked in order, from largest to smallest) A, B and C (Figure 3).
Figure 3.

The capitate bone represented as an ellipsoid in the healthy (blue) and the operated wrist (red) with axes A, B and C.

The capitate bone represented as an ellipsoid in the healthy (blue) and the operated wrist (red) with axes A, B and C. To determine whether any differences between capitates were due to naturally occurring anatomical differences, we repeated our assessment comparing healthy left and right wrists using CT imaging data from 12 healthy volunteers.

Statistical analysis

All variables followed a normal distribution, confirmed by Shapiro–Wilk tests. Paired samples t-tests were used to investigate the differences between unaffected wrists and operated wrists for joint space thickness, articular surface area, volume and shape parameters (lengths of ellipsoid axes) of the capitate.

Results

The characteristics of the 11 patients in the study are described in Table 1.
Table 1.

Characteristics of the study group.

VariablesProximal row carpectomy patients (n = 11)
Women6
Mean age at surgery, years (SD; range)43 (11; 19–59)
Mean age at follow-up, years (SD; range)50 (10; 30–63)
Indication for surgery
 Kienböck’s disease4
 SNAC2
 SLAC1
 Other4
Mean imposed range of motion, degrees (SD; range)
 Unaffected wrist
  Dart-throwing motion53 (10; 37–73)
  Flexion-extension motion79 (12; 55–93)
  Radio-ulnar deviation49 (10; 34–64)
 Operated wrist
  Dart-throwing motion43 (11; 23–60)
  Flexion-extension motion59 (15; 37–79)
  Radio-ulnar deviation33 (10; 19–44)

SNAC: scaphoid nonunion advanced collapse; SLAC: scapholunate advanced collapse.

Characteristics of the study group. SNAC: scaphoid nonunion advanced collapse; SLAC: scapholunate advanced collapse. The biomechanical comparison between operated and unaffected wrists is presented in Table 2. There were no significant differences in mean joint space thickness between operated and unaffected wrists. However, the articular surface area in operated wrists was significantly larger compared with unaffected wrists. When comparing the area of the articular surface for different motions, the difference was only significant for flexion-extension motion.
Table 2.

Joint space thickness and articular surface area.

VariablesUnaffected wrists (n = 11)Operated wrists (n = 11)p-value
Mean joint space thickness, mm (SD; range)
 Dart-throwing motion1.5 (0.4; 0.8–2.2)1.5 (0.6; 0.8–3.0)0.797
 Flexion-extension motion1.4 (0.3; 1.0–1.9)1.5 (0.5; 1.0–2.4)0.864
 Radio-ulnar deviation1.4 (0.4; 0.8–1.9)1.4 (0.4; 0.9–2.0)0.982
 Combined[a]1.3 (0.3; 0.8–1.9)1.3 (0.5; 0.7–2.4)0.963
Mean articular surface area, cm2 (SD; range)
 Dart-throwing motion1.2 (0.3; 0.7–1.6)1.3 (0.3; 0.8–2.0)0.252
 Flexion-extension motion1.2 (0.3; 0.8–1.7)1.5 (0.3; 1.0–2.0) 0.029
 Radio-ulnar deviation1.3 (0.3; 0.8–1.6)1.2 (0.3; 0.8–1.9)0.724
Combined[b]1.4 (0.3; 0.9–1.8)1.7 (0.4; 1.1–2.3) 0.014

Joint space thickness (mm) combined for all three motions.

Articular surface (cm2) combined for all three motions.

Significant differences shown in bold.

Joint space thickness and articular surface area. Joint space thickness (mm) combined for all three motions. Articular surface (cm2) combined for all three motions. Significant differences shown in bold. In Table 3 the differences in volume and shape of the capitate are shown. The volume of the capitate was significantly larger in operated wrists than in unaffected wrists. Shape comparisons displayed significantly longer B and C axes in the capitate after PRC. The volume and shape of the capitate did not differ significantly between the left and right wrists of 12 healthy volunteers.
Table 3.

Volume and shape of the capitate.

VariablesProximal row carpectomy patients
Healthy volunteers
Unaffected wrists (n = 11)Operated wrists (n = 11)p-valueLeft wrists(n = 12)Right wrists(n = 12)p-value
Mean volume, cm3 (SD; range)3.5 (0.8; 1.9–4.7)3.7 (0.9; 2.1–5.0) 0.010 3.2 (0.9; 2.0–4.8)3.2 (0.9; 2.0–4.8)0.828
Mean axis length, mm (SD; range)
 Ellipsoid axis A34.0 (3.0; 27.5–37.0)34.1 (3.2; 27.2–37.5)0.38932.3 (3.2; 27.2–37.2)32.2 (3.0; 27.5–36.9)0.240
 Ellipsoid axis B23.8 (2.4; 19.3–28.0)24.6 (2.5; 20.7–27.9) 0.003 23.9 (2.3; 20.6–27.4)23.8 (2.2; 20.7–27.0)0.721
 Ellipsoid axis C19.0 (1.5; 16.3–21.3)19.7 (1.7; 16.9–22.5) 0.005 18.7 (1.7; 16.6–21.3)18.7 (1.8; 16.3–21.6)0.308

Significant differences shown in bold.

Volume and shape of the capitate. Significant differences shown in bold.

Discussion

In this case-series study it was shown that after PRC the mean joint space thickness stays intact and the articular surface area slightly increases. The capitate undergoes anatomical changes after PRC, its volume and size increasing significantly. A major strength of this study was that features were investigated in patients instead of cadavers, allowing the natural processes of soft tissue healing and capsule scarring to occur (Blankenhorn et al., 2007; Debottis et al., 2013). Another strength was that we investigated the wrist joint parameters in 3D space and in a dynamic setup covering the entire ROM. In contrast, previous studies have measured radiocapitate space in static configurations using two-dimensional imaging (Croog and Stern, 2008; DiDonna et al., 2004; Wall et al., 2013), ignoring changes in orientation and the positions of carpal bones during movement (Carelsen et al., 2005). A limitation of this study was the potential for selection bias. Out of the 64 invited persons, 11 persons agreed to participate. It is possible that patients with good results from surgery might have been more likely to participate. We compared the operated and unaffected wrists in individual patients. It might be suggested that the differences found are due to anatomical differences between the left and right wrists. However, previous research showed no significant differences between the wrists of healthy volunteers and the unaffected wrists of patients (Foumani et al., 2015). We showed that there were no significant anatomical differences in the size and shape of the capitate in each wrist in healthy volunteers, supporting our belief that the differences found in patients are indeed effects of the PRC procedure itself. In this study, we were able to witness the biomechanical effects after PRC on the wrist joint. The cartilage-containing areas of the lunate fossa and capitate remain intact even though a new articular surface has been established. Previous cadaveric studies have investigated biomechanical changes in the radiocapitate joint using low-pressure-sensitive contact film (Hogan et al., 2004; Tang et al., 2009; Zhu et al., 2010). These studies showed a significant increase of contact pressure in the radiocapitate joint. These increased forces could possibly cause capitate remodelling as shown in our study. Two of these cadaveric studies reported a decrease in the contact area of the lunate fossa (Tang et al., 2009; Zhu et al., 2010). In contrast, we found an increased surface area after PRC, which is not surprising as we measured surface area after years of capitate remodelling under the influence of increased contact pressure. Taken together, increased radiocapitate forces could provide a credible explanation for the remodelling and increased surface area of the capitate that were seen several years after surgery, highlighting the adaptive capacity of the wrist after major anatomical changes. The mean follow-up of 7.3 years gives a relatively limited insight into the long-term effects of anatomical changes in the wrist joint, especially since degenerative changes have been documented mainly in studies with a long-term follow-up (Ali et al., 2012; DiDonna et al., 2004; Lumsden et al., 2008). Furthermore, all measurements in this study were done at a single time point. It would be valuable to investigate the changes using repeated measurements over longer periods. In conclusion, the combination of remodelling of the capitate, the corresponding increase in the articular surface area and the unaltered joint space thickness could help to explain the clinical success of PRC.
  18 in total

1.  Changes in radiocarpal loading characteristics after proximal row carpectomy.

Authors:  Christopher J Hogan; Patricia L McKay; Gregory G Degnan
Journal:  J Hand Surg Am       Date:  2004-11       Impact factor: 2.230

2.  Detection of in vivo dynamic 3-D motion patterns in the wrist joint.

Authors:  Bart Carelsen; Remmet Jonges; Simon D Strackee; Mario Maas; Patricia van Kemenade; Cornelis A Grimbergen; Marcel van Herk; Geert J Streekstra
Journal:  IEEE Trans Biomed Eng       Date:  2008-12-09       Impact factor: 4.538

3.  Comparison of the "contact biomechanics" of the intact and proximal row carpectomy wrist.

Authors:  Peter Tang; Jean Gauvin; Muturi Muriuki; Jamie H Pfaeffle; Joseph E Imbriglia; Robert J Goitz
Journal:  J Hand Surg Am       Date:  2009-04       Impact factor: 2.230

4.  Proximal-row carpectomy for diseases of the proximal row.

Authors:  A E Inglis; E C Jones
Journal:  J Bone Joint Surg Am       Date:  1977-06       Impact factor: 5.284

5.  In-vivo dynamic and static three-dimensional joint space distance maps for assessment of cartilage thickness in the radiocarpal joint.

Authors:  M Foumani; S D Strackee; M van de Giessen; R Jonges; L Blankevoort; G J Streekstra
Journal:  Clin Biomech (Bristol, Avon)       Date:  2012-12-04       Impact factor: 2.063

6.  4-corner arthrodesis and proximal row carpectomy: a biomechanical comparison of wrist motion and tendon forces.

Authors:  Daniel P Debottis; Frederick W Werner; Levi G Sutton; Brian J Harley
Journal:  J Hand Surg Am       Date:  2013-03-23       Impact factor: 2.230

7.  Proximal row carpectomy: minimum 20-year follow-up.

Authors:  Lindley B Wall; Michael L Didonna; Thomas R Kiefhaber; Peter J Stern
Journal:  J Hand Surg Am       Date:  2013-06-25       Impact factor: 2.230

8.  Four-Corner Arthrodesis Versus Proximal Row Carpectomy: A Retrospective Study With a Mean Follow-Up of 17 Years.

Authors:  Merel J L Berkhout; Yara Bachour; Kang He Zheng; Margriet G Mullender; Simon D Strackee; Marco J P F Ritt
Journal:  J Hand Surg Am       Date:  2015-02-18       Impact factor: 2.230

9.  Proximal row carpectomy for advanced Kienböck's disease: average 10-year follow-up.

Authors:  Alexander S Croog; Peter J Stern
Journal:  J Hand Surg Am       Date:  2008-09       Impact factor: 2.230

10.  Treatment of advanced-stage Kienböck's disease with proximal row carpectomy: an average 15-year follow-up.

Authors:  Boyd C Lumsden; Addison Stone; William D Engber
Journal:  J Hand Surg Am       Date:  2008-04       Impact factor: 2.230

View more
  3 in total

1.  Scapholunate instability: improved detection with semi-automated kinematic CT analysis during stress maneuvers.

Authors:  Waled Abou Arab; Aymeric Rauch; Mohammad B Chawki; Francois Dap; Gilles Dautel; Alain Blum; Pedro Augusto Gondim Teixeira
Journal:  Eur Radiol       Date:  2018-04-30       Impact factor: 5.315

2.  Quantitative three-dimensional assessment of Madelung deformity.

Authors:  Abbas Peymani; Johannes G G Dobbe; Geert J Streekstra; Henry R McCarroll; Simon D Strackee
Journal:  J Hand Surg Eur Vol       Date:  2019-09-24

3.  The dynamic rotation axis of ulnohumeral joint during active flexion-extension: an in vivo 4-dimensional computed tomography analysis.

Authors:  Hua Liu; Erica Kholinne; Yucheng Sun; Tingting Liu; Jun Tan
Journal:  BMC Musculoskelet Disord       Date:  2022-02-16       Impact factor: 2.362

  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.