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Matsuda N, Otsuka H, Kasai R, Otani T, Bollos LACL, Azane S, Kunikane Y, Otomi Y, Ueki Y, Okabe M, Amano M, Tamaki M, Wakino S, Takao S, Harada M. Quantitative evaluation of 67Ga-citrate scintigraphy in the management of nephritis. Sci Rep 2024; 14:16313. [PMID: 39009630 PMCID: PMC11250846 DOI: 10.1038/s41598-024-66823-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2024] [Accepted: 07/04/2024] [Indexed: 07/17/2024] Open
Abstract
In 67Ga-citrate scintigraphy (Ga-S), visual assessment is used by evaluating renal-uptake comparison with liver and spine and is simple and objective. We adopted the standardized uptake value (SUV) for 67Ga-citrate and proposed two quantitative indices, active nephritis volume (ANV) and total nephritis uptake (TNU). This study clarified the utility of new Ga-S-based quantitative indices in nephritis management. Before SUV measurement, the Becquerel calibration factor of 67Ga-citrate was obtained using a phantom experiment. Seventy patients who underwent SPECT/CT imaging were studied. SUV, ANV, and TNU were calculated using a quantitative analysis software for bone SPECT. SUVmean, ANV, and TNU were analyzed using the (1) threshold method (set 40%) and constant-value method for (2) vertebral SUVmax, and (3) vertebral SUVmean. ROC analysis was used to evaluate SUV, ANV, and TNU diagnostic abilities to distinguish nephritis presence and absence as well as interstitial nephritis (IN) and non-IN. The area under the curve (AUC) for nephritis presence or absence had a good value (0.80) for SUVmean (1), ANV (3), and TNU (3). The AUC for differentiation between IN and non-IN groups had a good value (0.80) for SUVmean (1). Thus, the new Ga-S-based quantitative indices were useful to evaluate nephritis and distinguish IN and non-IN.
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Affiliation(s)
- Noritake Matsuda
- Department of Radiology, Tokushima University Hospital, Kuramoto-cho 2-50-1, Tokushima, 770-8503, Japan
| | - Hideki Otsuka
- Department of Medical Imaging/Nuclear Medicine, Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 3-18-15, Tokushima, Tokushima, 770-8503, Japan.
| | - Ryosuke Kasai
- Department of Medical Imaging/Nuclear Medicine, Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 3-18-15, Tokushima, Tokushima, 770-8503, Japan
| | - Tamaki Otani
- Advance Radiation Research, Education and Management Center, Tokushima University, Kuramoto-cho 3-18-15, Tokushima, Tokushima, 770-8503, Japan
| | | | - Shota Azane
- Department of Radiology, Tokushima University Hospital, Kuramoto-cho 2-50-1, Tokushima, 770-8503, Japan
| | - Yamato Kunikane
- Department of Radiology, Tokushima University Hospital, Kuramoto-cho 2-50-1, Tokushima, 770-8503, Japan
| | - Yoichi Otomi
- Department of Radiology and Radiation Oncology, Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 2-50-1, Tokushima, 770-8503, Japan
| | - Yuya Ueki
- Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 3-18-15, Tokushima, Tokushima, 770-8503, Japan
| | - Mana Okabe
- Radiology Service, Shiga University of Medical Science Hospital, Seta Tsukinowacho, Otsu-shi, Shiga, 520-2192, Japan
| | - Masafumi Amano
- Department of Radiology, Tokushima University Hospital, Kuramoto-cho 2-50-1, Tokushima, 770-8503, Japan
| | - Masanori Tamaki
- Department of Nephrology, Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 2-50-1, Tokushima, 770-8503, Japan
| | - Shu Wakino
- Department of Nephrology, Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 2-50-1, Tokushima, 770-8503, Japan
| | - Shoichiro Takao
- Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 3-18-15, Tokushima, Tokushima, 770-8503, Japan
| | - Masafumi Harada
- Tokushima University Graduate School of Biomedical Sciences, Kuramoto-cho 3-18-15, Tokushima, Tokushima, 770-8503, Japan
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Okajima Y, Yanagisawa S, Yamada A, Notake T, Shimizu A, Soejima Y, Fujinaga Y. Predictability of combining Technetium-99m-galactosyl human serum albumin single-photon emission computed tomography/computed tomography and indocyanine green clearance test for posthepatectomy liver failure. Jpn J Radiol 2024:10.1007/s11604-024-01613-4. [PMID: 38913284 DOI: 10.1007/s11604-024-01613-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Accepted: 06/04/2024] [Indexed: 06/25/2024]
Abstract
PURPOSE To evaluate the predictive ability of combining Technetium-99m-galactosyl human serum albumin (99mTc‑GSA) single-photon emission computed tomography (SPECT)/computed tomography (CT) volume and plasma clearance rate of indocyanine green (ICGK) for posthepatectomy liver failure (PHLF). MATERIALS AND METHODS Fifty patients who underwent 99mTc-GSA scintigraphy as a preoperative examination for segmentectomy or more from July 2021 to June 2023 were evaluated prospectively. Patients were divided into two groups according to the presence or absence of posthepatectomy liver failure (PHLF). Total functional liver volume (t-FLV) and remnant FLV (r-FLV) were measured from 99mTc-GSA SPECT/CT image. Future liver remnant ICGK (ICGK-F) was calculated by ICGK and remnant liver volume from CT. Area under the curve (AUC) of ICGK-F, r-FLV, r-FLV/t-FLV, ICGK × r-FLV, ICGK × r-FLV/t-FLV was calculated to evaluate predictive ability of each parameter for PHLF. RESULTS PHLF was occurred in 7 patients. AUC of ICGK × r-FLV was significantly higher than that of ICGK-F (0.99; 95% confidence interval [CI]: 0.96-1 vs 0.82; 95%CI: 0.64-0.96; p = 0.036). There was no significant difference between the AUC of r-FLV, r-FLV/t-FLV, ICGK × r-FLV/t-FLV and that of ICGK-F, respectively. CONCLUSION The combination of 99mTc‑GSA SPECT/CT volume and ICGK can predict PHLF more accurately than ICGK-F.
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Affiliation(s)
- Yukinori Okajima
- Department of Radiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan
| | - Shin Yanagisawa
- Department of Radiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan
| | - Akira Yamada
- Department of Radiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan.
- Medical Data Science Course, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan.
| | - Tsuyoshi Notake
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan
| | - Akira Shimizu
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan
| | - Yuji Soejima
- Division of Gastroenterological, Hepato-Biliary-Pancreatic, Transplantation and Pediatric Surgery, Department of Surgery, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan
| | - Yasunari Fujinaga
- Department of Radiology, Shinshu University School of Medicine, 3-1-1 Asahi, Matsumoto, Nagano, 390-8621, Japan
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Ueki Y, Otsuka H, Otani T, Kasai R, Otomi Y, Ikemitsu D, Azane S, Kunikane Y, Bando T, Matsuda N, Okada Y, Takayama T, Harada M. Combined visual and quantitative assessment of somatostatin receptor scintigraphy for staging and restaging of neuroendocrine tumors. Jpn J Radiol 2024; 42:519-535. [PMID: 38345724 DOI: 10.1007/s11604-024-01529-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2023] [Accepted: 01/03/2024] [Indexed: 04/30/2024]
Abstract
PURPOSE Somatostatin receptor scintigraphy (SRS) using 111In-DTPA-DPhe1-octreotide (pentetreotide) has become an integral part of neuroendocrine neoplasm management. The lack of precise quantification is a disadvantage of SRS. This study aimed to adapt the standardized uptake value (SUV) to SRS, establish the SUV range for physiological uptake in the liver, kidney, and spleen, and elucidate the utility of combined visual and quantitative SRS assessment for staging and restaging of neuroendocrine tumors (NETs). MATERIALS AND METHODS This study included 21 patients with NETs who underwent 111In-pentetreotide SRS. The SUV of physiological and pathological uptake was calculated using bone single-photon emission computed tomography (SPECT) quantitative analysis software (GI-BONE). For visual analysis, the primary and metastatic lesions were scored visually on planar and SPECT images using a five-point scale. We assessed the relationships between the SUVs of the liver, kidney, and spleen in the dual phase, and among quantitative indices, visual score, and pathological lesions classification. RESULTS Sixty-three NEN lesions were evaluated. The mean ± standard deviation maximum SUVs (SUVmax) were liver: 4 h, 2.6 ± 1.0; 24 h, 2.2 ± 1.0; kidney: 4 h, 8.9 ± 1.8; 24 h, 7.0 ± 2.0; and spleen; 4 h, 11.3 ± 4.5; 24 h, 11.5 ± 7.6. Higher SUVmax was significantly associated with higher visual scores on dual-phase SPECT (4 h, p < 0.001; 24 h, p < 0.001) (4 h: scores 3 and 4, p < 0.05; scores 3 and 5: p < 0.01; scores 4 and 5: p < 0.01; 24 h: scores 3 and 4, p = 0.0748; scores 3 and 5: p < 0.01; scores 4 and 5: p < 0.01). CONCLUSION We adapted the SUV to SRS and established the range of SUV for physiological uptake in the liver, kidney, and spleen. Combined visual and quantitative assessment is useful for imaging individual lesions in greater detail, and may serve as a new tumor marker of SRS for staging and restaging of NETs.
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Affiliation(s)
- Yuya Ueki
- Tokushima University Graduate School of Health Sciences, Tokushima, Japan
| | - Hideki Otsuka
- Department of Medical Imaging/Nuclear Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
| | - Tamaki Otani
- Advance Radiation Research, Education and Management Center, Tokushima University, Tokushima, Japan
| | - Ryosuke Kasai
- Department of Medical Imaging/Nuclear Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Yoichi Otomi
- Department of Radiology and Radiation Oncology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Daiki Ikemitsu
- Department of Radiology, Tokushima University Hospital, Tokushima, Japan
| | - Shota Azane
- Department of Radiology, Tokushima University Hospital, Tokushima, Japan
| | - Yamato Kunikane
- Department of Radiology, Tokushima University Hospital, Tokushima, Japan
| | - Takanori Bando
- Department of Radiology, Tokushima University Hospital, Tokushima, Japan
| | - Noritake Matsuda
- Department of Radiology, Tokushima University Hospital, Tokushima, Japan
| | - Yasuyuki Okada
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Tetsuji Takayama
- Department of Gastroenterology and Oncology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
| | - Masafumi Harada
- Department of Radiology and Radiation Oncology, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan
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Slart RHJA, Chen W, Tubben A, Tingen HSA, Davies DR, Grogan M, Wechalekar AD, Kittleson MM, Thomson LEJ, Slomka PJ, Wechalekar K, Chareonthaitawee P. Emerging Role of Scintigraphy Using Bone-Seeking Tracers for Diagnosis of Cardiac Amyloidosis: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2024; 222:e2329347. [PMID: 37315017 DOI: 10.2214/ajr.23.29347] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/16/2023]
Abstract
Amyloidoses are a complex group of clinical diseases that result from progressive organ dysfunction due to extracellular protein misfolding and deposition. The two most common types of cardiac amyloidosis are transthyretin amyloidosis (ATTR) and light-chain (AL) amyloidosis. Diagnosis of ATTR cardiomyopathy (ATTR-CM) is challenging owing to its phenotypic similarity to other more common cardiac conditions, the perceived rarity of the disease, and unfamiliarity with its diagnostic algorithms; endomyocardial biopsy was historically required for diagnosis. However, myocardial scintigraphy using bone-seeking tracers has shown high accuracy for detection of ATTR-CM and has become a key noninvasive diagnostic test for the condition, receiving support from professional society guidelines and transforming prior diagnostic paradigms. This AJR Expert Panel Narrative Review describes the role of myocardial scintigraphy using bone-seeking tracers in the diagnosis of ATTR-CM. The article summarizes available tracers, acquisition techniques, interpretation and reporting considerations, diagnostic pitfalls, and gaps in the current literature. The critical need for monoclonal testing of patients with positive scintigraphy results to differentiate ATTR-CM from AL cardiac amyloidosis is highlighted. Recent updates in guideline recommendations that emphasize the importance of a qualitative visual assessment are also discussed.
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Affiliation(s)
- Riemer H J A Slart
- Department of Nuclear Medicine & Molecular Imaging, University Medical Center Groningen, Hanzeplein 1, Groningen 9700 RB, The Netherlands
| | - Wengen Chen
- Department of Diagnostic Radiology and Nuclear Medicine, University of Maryland School of Medicine, Baltimore, MD
| | - Alwin Tubben
- Department of Cardiology, University Medical Center Groningen, Groningen, The Netherlands
| | - Hendrea S A Tingen
- Department of Nuclear Medicine & Molecular Imaging, University Medical Center Groningen, Hanzeplein 1, Groningen 9700 RB, The Netherlands
| | - Daniel R Davies
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Martha Grogan
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN
| | - Ashutosh D Wechalekar
- National Amyloidosis Centre, University College London (Royal Free Campus), London, United Kingdom
| | - Michelle M Kittleson
- Department of Cardiology, Smidt Heart Institute, Cedars-Sinai Medical Center, Los Angeles, CA
| | | | - Piotr J Slomka
- Department of Biomedical Sciences, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA
- Department of Medicine, Cedars-Sinai Medical Center, Biomedical Imaging Research Institute, Los Angeles, CA
| | - Kshama Wechalekar
- Department of Nuclear Medicine, Royal Brompton and Harefield Hospitals, Part of the Guy's and St Thomas' Foundation Trust Hospitals, London, United Kingdom
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Ahluwalia N, Roshankar G, Draycott L, Jimenez-Zepeda V, Fine N, Chan D, Han D, Miller RJH. Diagnostic accuracy of bone scintigraphy imaging for transthyretin cardiac amyloidosis: systematic review and meta-analysis. J Nucl Cardiol 2023; 30:2464-2476. [PMID: 37226006 DOI: 10.1007/s12350-023-03297-1] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Accepted: 05/04/2023] [Indexed: 05/26/2023]
Abstract
BACKGROUND Bone scintigraphy imaging is frequently used to investigate patients with suspected transthyretin cardiac amyloidosis (ATTR-CM). However, the reported accuracy for interpretation approaches has changed over time. We performed a systematic review and meta-analysis to determine the diagnostic accuracy of visual planar grading, heart-to-contralateral (HCL) ratio, and quantitative analysis of SPECT imaging and evaluate reasons for shifts in reported accuracy. METHODS We performed a systematic review to identify studies of the diagnostic accuracy of bone scintigraphy for ATTR-CM from 1990 until February 2023 using PUBMED and EMBASE. Studies were reviewed separately by two authors for inclusion and for risk of bias assessment. Summary receiver operating characteristic curves and operating points were determined with hierarchical modeling. RESULTS Out of a total of 428 identified studies, 119 were reviewed in detail and 23 were included in the final analysis. The studies included a total of 3954 patients, with ATTR-CM diagnosed in 1337 (39.6%) patients and prevalence ranging from 21 to 73%. Visual planar grading and quantitative analysis had higher diagnostic accuracy (.99) than HCL ratio (.96). Quantitative analysis of SPECT imaging had the highest specificity (97%) followed by planar visual grade (96%) and HCL ratio (93%). ATTR-CM prevalence accounted for some of the observed between study heterogeneity. CONCLUSIONS Bone scintigraphy imaging is highly accurate for identifying patients with ATTR-CM, with between study heterogeneity in part explained by differences in disease prevalence. We identified small differences in specificity, which may have important clinical implications when applied to low-risk screening populations.
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Affiliation(s)
- Nanki Ahluwalia
- Department of Cardiac Sciences, University of Calgary, GAA08, 3230 Hospital Drive NW, Calgary, AB, T2N 2T9, Canada
| | - Golnaz Roshankar
- Department of Cardiac Sciences, University of Calgary, GAA08, 3230 Hospital Drive NW, Calgary, AB, T2N 2T9, Canada
| | - Logan Draycott
- Department of Cardiac Sciences, University of Calgary, GAA08, 3230 Hospital Drive NW, Calgary, AB, T2N 2T9, Canada
| | | | - Nowell Fine
- Department of Cardiac Sciences, University of Calgary, GAA08, 3230 Hospital Drive NW, Calgary, AB, T2N 2T9, Canada
| | - Denise Chan
- Department of Nuclear Medicine, University of Calgary, Calgary, AB, Canada
| | - Donghee Han
- Departments of Medicine (Division of Artificial Intelligence in Medicine), Imaging and Biomedical Sciences Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Robert J H Miller
- Department of Cardiac Sciences, University of Calgary, GAA08, 3230 Hospital Drive NW, Calgary, AB, T2N 2T9, Canada.
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