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. 2023 Aug 10;39:103494. doi: 10.1016/j.nicl.2023.103494

Table 7.

Tractography quality assessment methods used by each article included in the review, with consequent risk of bias assessment.

Article Risk of bias assessment Direct visual assessment Direct visual assessment (ranking score) % crossing fibers reconstructed Surgical evaluation Other evaluation methods Quality measurement methods
He (2021) Low Multiple methods used to assess the anatomical fidelity. Both qualitative and computational quality methods used Other: Comparison of mutual spatial overlap between reconstructions by NOS method.
Jin (2019) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Kammen (2016) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Kamali (2014) Medium Only direct visual assessment of the anatomical fidelity used. Different experimenters performed evaluations superimposed on T1w image. Repeated by 2 experts
Maleki (2012) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Akazawa (2010) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Hofer (2010) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Staempfli (2007) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Manners (2022) Low Multiple methods used to assess the anatomical fidelity. Both qualitative and computational quality methods used Other: measure of the superimposition between crossing and non-crossing fibers using DICE coeff
Puzniak (2021) Low Quantitative computational quality method used to assess the anatomical fidelity Other: RMSE of the Connectome
Ather (2019) Low Quantitative computational quality method used to assess the anatomical fidelity Percentage of crossing fibers reconstructed
J Puzniak (2019) Low Quantitative computational quality method used to assess the anatomical fidelity ID - decussation index
Takemura (2019) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Lecler (2018) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Davies-Thompson (2013) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Miler (2019) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations superimposed to T1w image
Allen (2018) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations superimposed on T1w image
Altıntaş (2017) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Chakravarthi (2021) Low Direct comparison with ground truth anatomy performed. surgical evaluation
Liang (2021) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Ho (2019) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Jacquesson (2019) Low Two methods used to assess the anatomical fidelity comparison with CISS
Wu (2019) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Lin (2018) Medium Only direct visual assessment of the anatomical fidelity used. Different experimenters performed evaluations using 3D models (16 experts)
Ma (2017) Low Two methods used to assess the anatomical fidelity
Zolal (2017) Low Multiple methods used to assess the anatomical fidelity. Both qualitative and computational quality methods used Other: DICE coeff between reconstruction and a T1w segmentation; false positive fibers rate
Yoshino (2016) Medium Only direct visual assessment of the anatomical fidelity used. Different experimenters performed evaluations superimposed on T1w image. Repeated by 3 experts
Haijabadi (2016) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Ge (2015) Low Two methods used to assess the anatomical fidelity
Haijabadi (2015) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
De Blank (2013) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Lober (2012) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Zhang (2012) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Hodaie (2010) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations Comparison to known easily reconstructable structure (anterior commissure)
Salmela (2009) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Tao (2009) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Techavipoo (2009) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations Superimposed on T1w image
Lacerda (2021) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations
Yang (2011) High Only direct visual assessment of the anatomical fidelity used. Same experimenter performed reconstructions and evaluations

Abbreviations: NOS - normalized overlap score; ROE - region of exclusion; RMSE - root mean square error; LiFE – linear fascicle evaluation; CISS – constructive interference in steady-state.