One-mSv CT colonography: Effect of different iterative reconstruction algorithms on radiologists’ performance
•Mean effective radiation dose for 120kVp/100kVp with 10mAs CT colonography was 1mSv.•Image noise significantly decreased from FBP to ASIR and MBIR algorithms.•Per-polyp sensitivity of 1mSv CT colonography reconstructed with FBP was not acceptable.•Per-polyp sensitivity of 1mSv CT colonography can b...
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| Veröffentlicht in: | European journal of radiology Jg. 85; H. 3; S. 641 - 648 |
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| Abstract | •Mean effective radiation dose for 120kVp/100kVp with 10mAs CT colonography was 1mSv.•Image noise significantly decreased from FBP to ASIR and MBIR algorithms.•Per-polyp sensitivity of 1mSv CT colonography reconstructed with FBP was not acceptable.•Per-polyp sensitivity of 1mSv CT colonography can be improved with iterative reconstruction algorithms.•1mSv CT colonography with MBIR reconstruction can be useful with acceptable diagnostic performance for clinically significant polyps.
To analyze the effect of different reconstruction algorithms on image noise and radiologists’ performance at ultra-low dose CT colonography (CTC) in human subjects.
This retrospective study had institutional review board approval, with waiver of the need to obtain informed consent. CTC and subsequent colonoscopy were performed at the same day in 28 patients. CTC was scanned at the supine/prone positions using 120/100kVp and fixed 10mAs, and reconstructed using filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based IR (Veo) algorithms. Size-specific dose estimates (SSDE) and effective radiation doses were recorded. Image noise was compared among the three datasets using repeated measures analysis of variance (ANOVA). Per-polyp sensitivity and figure-of-merits were compared among the datasets using the McNemar test and jackknife alternative free-response receiver operating characteristic (JAFROC) analysis, respectively, by one novice and one expert reviewer in CTC.
Mean SSDE and effective radiation dose of CTC were 1.732mGy and 1.002mSv, respectively. Mean image noise at supine/prone position datasets was significantly lowest with Veo (17.2/13.3), followed by ASIR (52.4/38.9) and FBP (69.9/50.8) (P<0.0001). Forty-two polyps in 25 patients were reference polyps. For both readers, per-polyp sensitivity of all 42 polyps was highest with Veo reconstruction (81.0%, 64.3%), followed by ASIR (73.8%, 54.8%) and FBP (57.1%, 50.0%) with statistical significance between Veo and FBP for reader 1 (P=0.002). JAFROC analysis revealed that the figure-of-merit for the detection of polyps was highest with Veo (0.917, 0.786), followed by ASIR (0.881, 0.750) and FBP (0.750, 0.746) with statistical significances between Veo or ASIR and FBP for reader 1 (P<0.05).
One-mSv CTC was not feasible using the standard FBP algorithm. However, diagnostic performance expressed as per-polyp sensitivity and figures-of-merit can be improved with the application of IR algorithms, particularly Veo. |
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| AbstractList | •Mean effective radiation dose for 120kVp/100kVp with 10mAs CT colonography was 1mSv.•Image noise significantly decreased from FBP to ASIR and MBIR algorithms.•Per-polyp sensitivity of 1mSv CT colonography reconstructed with FBP was not acceptable.•Per-polyp sensitivity of 1mSv CT colonography can be improved with iterative reconstruction algorithms.•1mSv CT colonography with MBIR reconstruction can be useful with acceptable diagnostic performance for clinically significant polyps.
To analyze the effect of different reconstruction algorithms on image noise and radiologists’ performance at ultra-low dose CT colonography (CTC) in human subjects.
This retrospective study had institutional review board approval, with waiver of the need to obtain informed consent. CTC and subsequent colonoscopy were performed at the same day in 28 patients. CTC was scanned at the supine/prone positions using 120/100kVp and fixed 10mAs, and reconstructed using filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based IR (Veo) algorithms. Size-specific dose estimates (SSDE) and effective radiation doses were recorded. Image noise was compared among the three datasets using repeated measures analysis of variance (ANOVA). Per-polyp sensitivity and figure-of-merits were compared among the datasets using the McNemar test and jackknife alternative free-response receiver operating characteristic (JAFROC) analysis, respectively, by one novice and one expert reviewer in CTC.
Mean SSDE and effective radiation dose of CTC were 1.732mGy and 1.002mSv, respectively. Mean image noise at supine/prone position datasets was significantly lowest with Veo (17.2/13.3), followed by ASIR (52.4/38.9) and FBP (69.9/50.8) (P<0.0001). Forty-two polyps in 25 patients were reference polyps. For both readers, per-polyp sensitivity of all 42 polyps was highest with Veo reconstruction (81.0%, 64.3%), followed by ASIR (73.8%, 54.8%) and FBP (57.1%, 50.0%) with statistical significance between Veo and FBP for reader 1 (P=0.002). JAFROC analysis revealed that the figure-of-merit for the detection of polyps was highest with Veo (0.917, 0.786), followed by ASIR (0.881, 0.750) and FBP (0.750, 0.746) with statistical significances between Veo or ASIR and FBP for reader 1 (P<0.05).
One-mSv CTC was not feasible using the standard FBP algorithm. However, diagnostic performance expressed as per-polyp sensitivity and figures-of-merit can be improved with the application of IR algorithms, particularly Veo. To analyze the effect of different reconstruction algorithms on image noise and radiologists' performance at ultra-low dose CT colonography (CTC) in human subjects. This retrospective study had institutional review board approval, with waiver of the need to obtain informed consent. CTC and subsequent colonoscopy were performed at the same day in 28 patients. CTC was scanned at the supine/prone positions using 120/100kVp and fixed 10mAs, and reconstructed using filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based IR (Veo) algorithms. Size-specific dose estimates (SSDE) and effective radiation doses were recorded. Image noise was compared among the three datasets using repeated measures analysis of variance (ANOVA). Per-polyp sensitivity and figure-of-merits were compared among the datasets using the McNemar test and jackknife alternative free-response receiver operating characteristic (JAFROC) analysis, respectively, by one novice and one expert reviewer in CTC. Mean SSDE and effective radiation dose of CTC were 1.732mGy and 1.002mSv, respectively. Mean image noise at supine/prone position datasets was significantly lowest with Veo (17.2/13.3), followed by ASIR (52.4/38.9) and FBP (69.9/50.8) (P<0.0001). Forty-two polyps in 25 patients were reference polyps. For both readers, per-polyp sensitivity of all 42 polyps was highest with Veo reconstruction (81.0%, 64.3%), followed by ASIR (73.8%, 54.8%) and FBP (57.1%, 50.0%) with statistical significance between Veo and FBP for reader 1 (P=0.002). JAFROC analysis revealed that the figure-of-merit for the detection of polyps was highest with Veo (0.917, 0.786), followed by ASIR (0.881, 0.750) and FBP (0.750, 0.746) with statistical significances between Veo or ASIR and FBP for reader 1 (P<0.05). One-mSv CTC was not feasible using the standard FBP algorithm. However, diagnostic performance expressed as per-polyp sensitivity and figures-of-merit can be improved with the application of IR algorithms, particularly Veo. To analyze the effect of different reconstruction algorithms on image noise and radiologists' performance at ultra-low dose CT colonography (CTC) in human subjects.PURPOSETo analyze the effect of different reconstruction algorithms on image noise and radiologists' performance at ultra-low dose CT colonography (CTC) in human subjects.This retrospective study had institutional review board approval, with waiver of the need to obtain informed consent. CTC and subsequent colonoscopy were performed at the same day in 28 patients. CTC was scanned at the supine/prone positions using 120/100kVp and fixed 10mAs, and reconstructed using filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based IR (Veo) algorithms. Size-specific dose estimates (SSDE) and effective radiation doses were recorded. Image noise was compared among the three datasets using repeated measures analysis of variance (ANOVA). Per-polyp sensitivity and figure-of-merits were compared among the datasets using the McNemar test and jackknife alternative free-response receiver operating characteristic (JAFROC) analysis, respectively, by one novice and one expert reviewer in CTC.MATERIALS AND METHODSThis retrospective study had institutional review board approval, with waiver of the need to obtain informed consent. CTC and subsequent colonoscopy were performed at the same day in 28 patients. CTC was scanned at the supine/prone positions using 120/100kVp and fixed 10mAs, and reconstructed using filtered back projection (FBP), adaptive statistical iterative reconstruction (ASIR), and model-based IR (Veo) algorithms. Size-specific dose estimates (SSDE) and effective radiation doses were recorded. Image noise was compared among the three datasets using repeated measures analysis of variance (ANOVA). Per-polyp sensitivity and figure-of-merits were compared among the datasets using the McNemar test and jackknife alternative free-response receiver operating characteristic (JAFROC) analysis, respectively, by one novice and one expert reviewer in CTC.Mean SSDE and effective radiation dose of CTC were 1.732mGy and 1.002mSv, respectively. Mean image noise at supine/prone position datasets was significantly lowest with Veo (17.2/13.3), followed by ASIR (52.4/38.9) and FBP (69.9/50.8) (P<0.0001). Forty-two polyps in 25 patients were reference polyps. For both readers, per-polyp sensitivity of all 42 polyps was highest with Veo reconstruction (81.0%, 64.3%), followed by ASIR (73.8%, 54.8%) and FBP (57.1%, 50.0%) with statistical significance between Veo and FBP for reader 1 (P=0.002). JAFROC analysis revealed that the figure-of-merit for the detection of polyps was highest with Veo (0.917, 0.786), followed by ASIR (0.881, 0.750) and FBP (0.750, 0.746) with statistical significances between Veo or ASIR and FBP for reader 1 (P<0.05).RESULTSMean SSDE and effective radiation dose of CTC were 1.732mGy and 1.002mSv, respectively. Mean image noise at supine/prone position datasets was significantly lowest with Veo (17.2/13.3), followed by ASIR (52.4/38.9) and FBP (69.9/50.8) (P<0.0001). Forty-two polyps in 25 patients were reference polyps. For both readers, per-polyp sensitivity of all 42 polyps was highest with Veo reconstruction (81.0%, 64.3%), followed by ASIR (73.8%, 54.8%) and FBP (57.1%, 50.0%) with statistical significance between Veo and FBP for reader 1 (P=0.002). JAFROC analysis revealed that the figure-of-merit for the detection of polyps was highest with Veo (0.917, 0.786), followed by ASIR (0.881, 0.750) and FBP (0.750, 0.746) with statistical significances between Veo or ASIR and FBP for reader 1 (P<0.05).One-mSv CTC was not feasible using the standard FBP algorithm. However, diagnostic performance expressed as per-polyp sensitivity and figures-of-merit can be improved with the application of IR algorithms, particularly Veo.CONCLUSIONOne-mSv CTC was not feasible using the standard FBP algorithm. However, diagnostic performance expressed as per-polyp sensitivity and figures-of-merit can be improved with the application of IR algorithms, particularly Veo. Highlights • Mean effective radiation dose for 120 kVp/100 kVp with 10 mAs CT colonography was 1 mSv. • Image noise significantly decreased from FBP to ASIR and MBIR algorithms. • Per-polyp sensitivity of 1 mSv CT colonography reconstructed with FBP was not acceptable. • Per-polyp sensitivity of 1 mSv CT colonography can be improved with iterative reconstruction algorithms. • 1 mSv CT colonography with MBIR reconstruction can be useful with acceptable diagnostic performance for clinically significant polyps. |
| Author | Yu, Mi Hye Lee, Eun Sun Han, Joon Koo Shin, Cheong-Il Im, Jong Pil Kim, Se Hyung Kim, Sang Gyun |
| Author_xml | – sequence: 1 givenname: Cheong-Il surname: Shin fullname: Shin, Cheong-Il organization: Department of Radiology, Seoul National University Hospital, Republic of Korea – sequence: 2 givenname: Se Hyung surname: Kim fullname: Kim, Se Hyung email: shkim7071@gmail.com organization: Department of Radiology, Seoul National University Hospital, Republic of Korea – sequence: 3 givenname: Jong Pil surname: Im fullname: Im, Jong Pil organization: Department of Radiology, Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Republic of Korea – sequence: 4 givenname: Sang Gyun surname: Kim fullname: Kim, Sang Gyun organization: Department of Radiology, Department of Internal Medicine and Liver Research Institute, Seoul National University College of Medicine, Republic of Korea – sequence: 5 givenname: Mi Hye surname: Yu fullname: Yu, Mi Hye organization: Department of Radiology, KonKuk University Medical Center, Republic of Korea – sequence: 6 givenname: Eun Sun surname: Lee fullname: Lee, Eun Sun organization: Department of Radiology, Chung-Ang University Hospital, Republic of Korea – sequence: 7 givenname: Joon Koo surname: Han fullname: Han, Joon Koo organization: Department of Radiology, Seoul National University Hospital, Republic of Korea |
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| Keywords | Diagnostic performance Iterative reconstruction Low dose CT Colonic polyps Computed tomographic colonoscopy |
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| Snippet | •Mean effective radiation dose for 120kVp/100kVp with 10mAs CT colonography was 1mSv.•Image noise significantly decreased from FBP to ASIR and MBIR... Highlights • Mean effective radiation dose for 120 kVp/100 kVp with 10 mAs CT colonography was 1 mSv. • Image noise significantly decreased from FBP to ASIR... To analyze the effect of different reconstruction algorithms on image noise and radiologists' performance at ultra-low dose CT colonography (CTC) in human... |
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| SubjectTerms | Adult Aged Algorithms Analysis of Variance Clinical Competence - statistics & numerical data Colonic polyps Colonic Polyps - diagnostic imaging Colonography, Computed Tomographic - methods Computed tomographic colonoscopy Diagnostic performance Female Humans Image Processing, Computer-Assisted - methods Iterative reconstruction Low dose CT Male Middle Aged Radiation Dosage Radiographic Image Interpretation, Computer-Assisted - methods Radiology Reproducibility of Results Retrospective Studies ROC Curve Sensitivity and Specificity |
| Title | One-mSv CT colonography: Effect of different iterative reconstruction algorithms on radiologists’ performance |
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