Pub Date : 2024-12-01Epub Date: 2024-08-02DOI: 10.1097/RLU.0000000000005355
Oliver Viering, Andreas Rinscheid, Nadine Holzleitner, Alexander Dierks, Malte Kircher, Georgine Wienand, Marianne Patt, Hans-Jürgen Wester, Ralph A Bundschuh, Thomas Günther, Constantin Lapa, Christian H Pfob
Abstract: Cholecystokinin 2 receptor (CCK 2 R) is a promising target for imaging and treatment of medullary thyroid cancer due to its overexpression in over 90% of tumor cells. 68 Ga-DOTA-CCK-66 is a recently introduced PET tracer selective for CCK 2 R, which has shown favorable pharmacokinetics in vivo in preclinical experiments. In order to further investigate safety and suitability of this tracer in the human setting, whole-body distribution and radiation dosimetry were evaluated.
Patients and methods: Six patients with a history of medullary thyroid cancer were injected intravenously with 169 ± 19 MBq of 68 Ga-DOTA-CCK-66. Whole-body PET/CT scans were acquired at 10 minutes, 1 hour, 2 hours, and 4 hours after tracer injection. Time-activity curves per organ were determined, and mean organ-absorbed doses and effective doses were calculated using OLINDA/EXM.
Results: Injection of a standard activity of 150 MBq of 68 Ga-DOTA-CCK-66 results in an effective dose of 4.5 ± 0.9 mSv. The highest absorbed organ doses were observed in the urinary bladder wall (40 mGy) and the stomach (15 mGy), followed by the kidneys (6 mGy), as well as the liver and the spleen (3 mGy each). CCK 2 R-expressing tumor manifestations could be detected in 2 of the 6 patients, including lymph node, bone, and liver metastases.
Conclusions: 68 Ga-DOTA-CCK-66 exhibits a favorable dosimetry. Beyond physiologic receptor expression of the stomach, no other relevant tracer accumulation could be observed, rendering this organ at risk in case of subsequent radioligand therapy using 177 Lu-DOTA-CCK-66.
{"title":"Biodistribution and Radiation Dosimetry for 68 Ga-DOTA-CCK-66, a Novel CCK 2 R-Targeting Compound for Imaging of Medullary Thyroid Cancer.","authors":"Oliver Viering, Andreas Rinscheid, Nadine Holzleitner, Alexander Dierks, Malte Kircher, Georgine Wienand, Marianne Patt, Hans-Jürgen Wester, Ralph A Bundschuh, Thomas Günther, Constantin Lapa, Christian H Pfob","doi":"10.1097/RLU.0000000000005355","DOIUrl":"10.1097/RLU.0000000000005355","url":null,"abstract":"<p><strong>Abstract: </strong>Cholecystokinin 2 receptor (CCK 2 R) is a promising target for imaging and treatment of medullary thyroid cancer due to its overexpression in over 90% of tumor cells. 68 Ga-DOTA-CCK-66 is a recently introduced PET tracer selective for CCK 2 R, which has shown favorable pharmacokinetics in vivo in preclinical experiments. In order to further investigate safety and suitability of this tracer in the human setting, whole-body distribution and radiation dosimetry were evaluated.</p><p><strong>Patients and methods: </strong>Six patients with a history of medullary thyroid cancer were injected intravenously with 169 ± 19 MBq of 68 Ga-DOTA-CCK-66. Whole-body PET/CT scans were acquired at 10 minutes, 1 hour, 2 hours, and 4 hours after tracer injection. Time-activity curves per organ were determined, and mean organ-absorbed doses and effective doses were calculated using OLINDA/EXM.</p><p><strong>Results: </strong>Injection of a standard activity of 150 MBq of 68 Ga-DOTA-CCK-66 results in an effective dose of 4.5 ± 0.9 mSv. The highest absorbed organ doses were observed in the urinary bladder wall (40 mGy) and the stomach (15 mGy), followed by the kidneys (6 mGy), as well as the liver and the spleen (3 mGy each). CCK 2 R-expressing tumor manifestations could be detected in 2 of the 6 patients, including lymph node, bone, and liver metastases.</p><p><strong>Conclusions: </strong>68 Ga-DOTA-CCK-66 exhibits a favorable dosimetry. Beyond physiologic receptor expression of the stomach, no other relevant tracer accumulation could be observed, rendering this organ at risk in case of subsequent radioligand therapy using 177 Lu-DOTA-CCK-66.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141874370","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-10-02DOI: 10.1097/RLU.0000000000005482
Sophie C Kunte, Lena M Unterrainer, Wolfgang G Kunz, Michael Winkelmann, Simon Lindner, Klaus Jurkschat, Carmen Wängler, Björn Wängler, Ralf Schirrmacher, Peter Bartenstein, Claus Belka, Christian Schichor, Nathalie L Albert, Marcus Unterrainer
Abstract: A 64-year-old woman with meningioma presented with left-sided lenticulostriatal ischemia following craniotomy and debulking of a sphenoid wing meningioma. For subsequent radiotherapy planning, an SSTR-targeted PET/CT using the novel ligand 18 F-SiTATE was performed 2.5 months thereafter. The meningioma remnants showed transosseous, intrasellar, and perivascular extension around the internal carotid artery with strong SSTR expression. Moreover, there was focal 18 F-SiTATE uptake in the left caudate and corresponding contrast enhancement due to postischemic blood-brain barrier disruption and reactive SSTR expression. Therefore, increased cortical or subcortical SSTR PET signal may be related to ischemic changes even in the subacute stage after initial stroke.
{"title":"Lenticulostriatal Ischemia Shows Relevant SSTR Expression on PET/CT Imaging Using the Novel SSTR-Targeting Peptide 18 F-SiTATE.","authors":"Sophie C Kunte, Lena M Unterrainer, Wolfgang G Kunz, Michael Winkelmann, Simon Lindner, Klaus Jurkschat, Carmen Wängler, Björn Wängler, Ralf Schirrmacher, Peter Bartenstein, Claus Belka, Christian Schichor, Nathalie L Albert, Marcus Unterrainer","doi":"10.1097/RLU.0000000000005482","DOIUrl":"10.1097/RLU.0000000000005482","url":null,"abstract":"<p><strong>Abstract: </strong>A 64-year-old woman with meningioma presented with left-sided lenticulostriatal ischemia following craniotomy and debulking of a sphenoid wing meningioma. For subsequent radiotherapy planning, an SSTR-targeted PET/CT using the novel ligand 18 F-SiTATE was performed 2.5 months thereafter. The meningioma remnants showed transosseous, intrasellar, and perivascular extension around the internal carotid artery with strong SSTR expression. Moreover, there was focal 18 F-SiTATE uptake in the left caudate and corresponding contrast enhancement due to postischemic blood-brain barrier disruption and reactive SSTR expression. Therefore, increased cortical or subcortical SSTR PET signal may be related to ischemic changes even in the subacute stage after initial stroke.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142361265","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-07-16DOI: 10.1097/RLU.0000000000005386
Noa Shani Shrem, Daniel Levin, Keren Rouvinov, Gal Ben-Arie, Ilya Liberzon, Nir Hod
Abstract: "Burned-out" testicular tumor is a very rare clinical phenomenon, which refers to the presence of a metastatic germ cell tumor with no clinical findings in the testicle due to spontaneous regression of the primary testicular lesion. We present an unusual case of burned-out testicular embryonal germ cell carcinoma presenting as an extensive inferior vena cava tumor thrombus with malignant pulmonary embolism in which FDG PET/CT played a pivotal role in detecting the extent and significance of the disease.
{"title":"Burned-Out Testicular Carcinoma Presenting as Inferior Vena Cava Tumor Thrombus With Pulmonary Tumor Embolism on FDG PET/CT: A Case Report.","authors":"Noa Shani Shrem, Daniel Levin, Keren Rouvinov, Gal Ben-Arie, Ilya Liberzon, Nir Hod","doi":"10.1097/RLU.0000000000005386","DOIUrl":"10.1097/RLU.0000000000005386","url":null,"abstract":"<p><strong>Abstract: </strong>\"Burned-out\" testicular tumor is a very rare clinical phenomenon, which refers to the presence of a metastatic germ cell tumor with no clinical findings in the testicle due to spontaneous regression of the primary testicular lesion. We present an unusual case of burned-out testicular embryonal germ cell carcinoma presenting as an extensive inferior vena cava tumor thrombus with malignant pulmonary embolism in which FDG PET/CT played a pivotal role in detecting the extent and significance of the disease.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141619520","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-08-28DOI: 10.1097/RLU.0000000000005411
Ya-Wen Wang, Yan-Ting Xie, Xiao-Xin Sun
Abstract: A 54-year-old woman with a history of end-stage renal disease was found to have infiltrative cardiomyopathy by echocardiography. 99m Tc-pyrophosphate ( 99m Tc-PYP) scintigraphy was positive with a remarkable myocardial uptake. Gene test found a mutation of AGXT , confirming a final diagnosis of primary hyperoxaluria. Radiotracer uptake was due to high myocardial oxalate deposition. This case illustrates false positivity of the 99m Tc-PYP scan caused by hyperoxaluria-associated cardiomyopathy, which raises awareness for other conditions apart from amyloid cardiomyopathy.
{"title":"Hot Hearts on Bone Scintigraphy Are Not All Amyloidosis: Hyperoxaluria-Associated Cardiomyopathy.","authors":"Ya-Wen Wang, Yan-Ting Xie, Xiao-Xin Sun","doi":"10.1097/RLU.0000000000005411","DOIUrl":"10.1097/RLU.0000000000005411","url":null,"abstract":"<p><strong>Abstract: </strong>A 54-year-old woman with a history of end-stage renal disease was found to have infiltrative cardiomyopathy by echocardiography. 99m Tc-pyrophosphate ( 99m Tc-PYP) scintigraphy was positive with a remarkable myocardial uptake. Gene test found a mutation of AGXT , confirming a final diagnosis of primary hyperoxaluria. Radiotracer uptake was due to high myocardial oxalate deposition. This case illustrates false positivity of the 99m Tc-PYP scan caused by hyperoxaluria-associated cardiomyopathy, which raises awareness for other conditions apart from amyloid cardiomyopathy.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142079435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-09-25DOI: 10.1097/RLU.0000000000005440
Alessa Fischer, Julia M Martínez-Gómez, Joanna Mangana, Reinhard Dummer, Zoran Erlic, Svenja Nölting, Felix Beuschlein, Alexander Maurer, Michael Messerli, Martin W Huellner, Stephan Skawran
Purpose: Hypophysitis occurs in up to 10% of patients treated with immune-checkpoint inhibitors (ICIs). MRI shows no abnormalities of the pituitary gland in one third of patients. A delayed diagnosis increases the risk for life-threatening adrenal crisis, underscoring the need for early detection. This study evaluates the diagnostic accuracy FDG PET/CT in detecting ICI-induced hypophysitis in a cohort of melanoma patients.
Materials and methods: Patients with metastatic melanoma and ICI-induced hypophysitis, who underwent FDG PET/CT 90 days before to 10 days after diagnosis, were compared with an age- and sex-matched control group of patients undergoing ICI treatment without signs of hypophysitis. The ratio of SUV max of the pituitary gland to the SUV mean of the blood pool (target-to-background ratio [TBR]) was calculated. Diagnostic accuracy of the TBR was assessed using area under the receiver operating characteristics curve analysis.
Results: A total of 28 patients was included. The majority of patients with hypophysitis received ipilimumab/nivolumab (64.3%, 9/14). Visual assessment of the TBR distribution demonstrated a positive correlation with decreasing time to diagnosis. To evaluate diagnostic performance, only patients with FDG PET/CT 50 days before to 8 days after diagnosis (11/14) were included. TBR was significantly higher in these compared with the control group (median [interquartile range], 2.78 [2.41] vs 1.59 [0.70], respectively; P = 0.034). A sensitivity of 72.7% and a specificity of 90.9% were achieved at a TBR threshold of 2.41 (area under the receiver operating characteristics curve = 0.769).
Conclusions: Our findings suggest that, in patients undergoing ICI treatment for metastatic melanoma, a pituitary TBR of approximately 2.4 may indicate impending ICI-induced hypophysitis.
{"title":"18 F-FDG PET/CT for Detection of Immunotherapy-Induced Hypophysitis-A Case-Control Study.","authors":"Alessa Fischer, Julia M Martínez-Gómez, Joanna Mangana, Reinhard Dummer, Zoran Erlic, Svenja Nölting, Felix Beuschlein, Alexander Maurer, Michael Messerli, Martin W Huellner, Stephan Skawran","doi":"10.1097/RLU.0000000000005440","DOIUrl":"10.1097/RLU.0000000000005440","url":null,"abstract":"<p><strong>Purpose: </strong>Hypophysitis occurs in up to 10% of patients treated with immune-checkpoint inhibitors (ICIs). MRI shows no abnormalities of the pituitary gland in one third of patients. A delayed diagnosis increases the risk for life-threatening adrenal crisis, underscoring the need for early detection. This study evaluates the diagnostic accuracy FDG PET/CT in detecting ICI-induced hypophysitis in a cohort of melanoma patients.</p><p><strong>Materials and methods: </strong>Patients with metastatic melanoma and ICI-induced hypophysitis, who underwent FDG PET/CT 90 days before to 10 days after diagnosis, were compared with an age- and sex-matched control group of patients undergoing ICI treatment without signs of hypophysitis. The ratio of SUV max of the pituitary gland to the SUV mean of the blood pool (target-to-background ratio [TBR]) was calculated. Diagnostic accuracy of the TBR was assessed using area under the receiver operating characteristics curve analysis.</p><p><strong>Results: </strong>A total of 28 patients was included. The majority of patients with hypophysitis received ipilimumab/nivolumab (64.3%, 9/14). Visual assessment of the TBR distribution demonstrated a positive correlation with decreasing time to diagnosis. To evaluate diagnostic performance, only patients with FDG PET/CT 50 days before to 8 days after diagnosis (11/14) were included. TBR was significantly higher in these compared with the control group (median [interquartile range], 2.78 [2.41] vs 1.59 [0.70], respectively; P = 0.034). A sensitivity of 72.7% and a specificity of 90.9% were achieved at a TBR threshold of 2.41 (area under the receiver operating characteristics curve = 0.769).</p><p><strong>Conclusions: </strong>Our findings suggest that, in patients undergoing ICI treatment for metastatic melanoma, a pituitary TBR of approximately 2.4 may indicate impending ICI-induced hypophysitis.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142342987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-10-18DOI: 10.1097/RLU.0000000000005471
Mohammad Hadi Samadi, Susan Khezri, Faeze Rabani Banou, Mina Bai, Somaye Barashki
Abstract: We present MDP bone scan findings of radiation pneumonitis in a 45-year-old woman with invasive ductal carcinoma of the right breast, classified as stage IIIa, T3N2M0. The patient underwent a modified radical mastectomy, neoadjuvant chemotherapy, and subsequent radiotherapy, receiving the last session 7 months before the bone scan. Whole-body images acquired 3 hours postinjection of 20 mCi (730 MBq) 99m Tc-MDP showed incidentally increased uptake in the right hemithorax, confined to the lung parenchyma of the right lung on SPECT/CT images.
{"title":"Radiation Pneumonitis With 99m Tc-MDP Uptake in a Patient With Breast Cancer.","authors":"Mohammad Hadi Samadi, Susan Khezri, Faeze Rabani Banou, Mina Bai, Somaye Barashki","doi":"10.1097/RLU.0000000000005471","DOIUrl":"10.1097/RLU.0000000000005471","url":null,"abstract":"<p><strong>Abstract: </strong>We present MDP bone scan findings of radiation pneumonitis in a 45-year-old woman with invasive ductal carcinoma of the right breast, classified as stage IIIa, T3N2M0. The patient underwent a modified radical mastectomy, neoadjuvant chemotherapy, and subsequent radiotherapy, receiving the last session 7 months before the bone scan. Whole-body images acquired 3 hours postinjection of 20 mCi (730 MBq) 99m Tc-MDP showed incidentally increased uptake in the right hemithorax, confined to the lung parenchyma of the right lung on SPECT/CT images.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142544218","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-09-25DOI: 10.1097/RLU.0000000000005412
Mikhail Yadgarov, Levan Berikashvili, Elena Rakova, Yury Likar
Purpose: This study aimed to evaluate the ability of 18 F-FDG PET/CT metabolic parameters to predict the histological response to neoadjuvant chemotherapy in patients with osteosarcoma and Ewing sarcoma.
Patients and methods: This systematic review and network meta-analysis adhered to the PRISMA-NMA and Cochrane guidelines. Electronic databases were searched from January 2008 to January 2024; this search was supplemented by snowballing methods. The risk of bias was evaluated with QUADAS-2, and evidence certainty was assessed using the GRADE approach. The prognostic value of 18 F-FDG PET/CT parameters, including pretreatment and posttreatment SUVs (SUV1, SUV2 and the SUV2/SUV1 ratio), metabolic tumor volume (MTV1, MTV2, ΔMTV), and total lesion glycolysis (TLG1, TLG2, ΔTLG), was examined.
Results: The meta-analysis of 18 studies (714 patients) identified the ΔTLG, ΔMTV, and SUV ratio as superior predictors of histological response. The changes in metabolic activity, as indicated by these parameters, provided a robust indication of treatment effectiveness. Baseline parameters showed limited predictive value compared with posttreatment assessments. The study's robustness was confirmed through meta-regression, which revealed that the predictive value of the SUV2 and SUV ratio was consistent across various cutoff thresholds.
Conclusions: 18 F-FDG PET/CT metabolic parameters, particularly those measuring changes posttherapy, are effective in predicting the histological response in patients with osteosarcoma and Ewing sarcoma. These findings underscore the potential of 18 F-FDG PET/CT in guiding early treatment decisions, thereby enhancing personalized therapeutic approaches.
{"title":"18 F-FDG PET Metabolic Parameters for the Prediction of Histological Response to Induction Chemotherapy in Osteosarcoma and Ewing Sarcoma : A Systematic Review and Network Meta-analysis.","authors":"Mikhail Yadgarov, Levan Berikashvili, Elena Rakova, Yury Likar","doi":"10.1097/RLU.0000000000005412","DOIUrl":"10.1097/RLU.0000000000005412","url":null,"abstract":"<p><strong>Purpose: </strong>This study aimed to evaluate the ability of 18 F-FDG PET/CT metabolic parameters to predict the histological response to neoadjuvant chemotherapy in patients with osteosarcoma and Ewing sarcoma.</p><p><strong>Patients and methods: </strong>This systematic review and network meta-analysis adhered to the PRISMA-NMA and Cochrane guidelines. Electronic databases were searched from January 2008 to January 2024; this search was supplemented by snowballing methods. The risk of bias was evaluated with QUADAS-2, and evidence certainty was assessed using the GRADE approach. The prognostic value of 18 F-FDG PET/CT parameters, including pretreatment and posttreatment SUVs (SUV1, SUV2 and the SUV2/SUV1 ratio), metabolic tumor volume (MTV1, MTV2, ΔMTV), and total lesion glycolysis (TLG1, TLG2, ΔTLG), was examined.</p><p><strong>Results: </strong>The meta-analysis of 18 studies (714 patients) identified the ΔTLG, ΔMTV, and SUV ratio as superior predictors of histological response. The changes in metabolic activity, as indicated by these parameters, provided a robust indication of treatment effectiveness. Baseline parameters showed limited predictive value compared with posttreatment assessments. The study's robustness was confirmed through meta-regression, which revealed that the predictive value of the SUV2 and SUV ratio was consistent across various cutoff thresholds.</p><p><strong>Conclusions: </strong>18 F-FDG PET/CT metabolic parameters, particularly those measuring changes posttherapy, are effective in predicting the histological response in patients with osteosarcoma and Ewing sarcoma. These findings underscore the potential of 18 F-FDG PET/CT in guiding early treatment decisions, thereby enhancing personalized therapeutic approaches.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142342986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-12-01Epub Date: 2024-10-21DOI: 10.1097/RLU.0000000000005526
Mehdi Amini, Yazdan Salimi, Ghasem Hajianfar, Ismini Mainta, Elsa Hervier, Amirhossein Sanaat, Arman Rahmim, Isaac Shiri, Habib Zaidi
<p><strong>Introduction: </strong>We propose a fully automated framework to conduct a region-wise image quality assessment (IQA) on whole-body 18 F-FDG PET scans. This framework (1) can be valuable in daily clinical image acquisition procedures to instantly recognize low-quality scans for potential rescanning and/or image reconstruction, and (2) can make a significant impact in dataset collection for the development of artificial intelligence-driven 18 F-FDG PET analysis models by rejecting low-quality images and those presenting with artifacts, toward building clean datasets.</p><p><strong>Patients and methods: </strong>Two experienced nuclear medicine physicians separately evaluated the quality of 174 18 F-FDG PET images from 87 patients, for each body region, based on a 5-point Likert scale. The body regisons included the following: (1) the head and neck, including the brain, (2) the chest, (3) the chest-abdomen interval (diaphragmatic region), (4) the abdomen, and (5) the pelvis. Intrareader and interreader reproducibility of the quality scores were calculated using 39 randomly selected scans from the dataset. Utilizing a binarized classification, images were dichotomized into low-quality versus high-quality for physician quality scores ≤3 versus >3, respectively. Inputting the 18 F-FDG PET/CT scans, our proposed fully automated framework applies 2 deep learning (DL) models on CT images to perform region identification and whole-body contour extraction (excluding extremities), then classifies PET regions as low and high quality. For classification, 2 mainstream artificial intelligence-driven approaches, including machine learning (ML) from radiomic features and DL, were investigated. All models were trained and evaluated on scores attributed by each physician, and the average of the scores reported. DL and radiomics-ML models were evaluated on the same test dataset. The performance evaluation was carried out on the same test dataset for radiomics-ML and DL models using the area under the curve, accuracy, sensitivity, and specificity and compared using the Delong test with P values <0.05 regarded as statistically significant.</p><p><strong>Results: </strong>In the head and neck, chest, chest-abdomen interval, abdomen, and pelvis regions, the best models achieved area under the curve, accuracy, sensitivity, and specificity of [0.97, 0.95, 0.96, and 0.95], [0.85, 0.82, 0.87, and 0.76], [0.83, 0.76, 0.68, and 0.80], [0.73, 0.72, 0.64, and 0.77], and [0.72, 0.68, 0.70, and 0.67], respectively. In all regions, models revealed highest performance, when developed on the quality scores with higher intrareader reproducibility. Comparison of DL and radiomics-ML models did not show any statistically significant differences, though DL models showed overall improved trends.</p><p><strong>Conclusions: </strong>We developed a fully automated and human-perceptive equivalent model to conduct region-wise IQA over 18 F-FDG PET images. Our analysis emphasizes the
简介:我们提出了一种对全身 18F-FDG PET 扫描进行区域图像质量评估(IQA)的全自动框架。该框架(1)可在日常临床图像采集程序中发挥重要作用,即时识别低质量扫描,以便进行潜在的重新扫描和/或图像重建;(2)通过剔除低质量图像和出现伪影的图像,建立干净的数据集,从而在数据集收集方面对人工智能驱动的 18F-FDG PET 分析模型的开发产生重大影响:两名经验丰富的核医学医生分别对 87 名患者的 174 幅 18F-FDG PET 图像进行了质量评估,每个身体区域的评估均采用 5 点李克特量表。身体区域包括(1) 头颈部,包括大脑;(2) 胸部;(3) 胸腹间隙(膈区);(4) 腹部;(5) 骨盆。使用从数据集中随机抽取的 39 个扫描结果计算了质量评分的读片机内和读片机间重现性。通过二值化分类,医生质量评分≤3分和>3分的图像分别被分为低质量和高质量。输入 18F-FDG PET/CT 扫描图像后,我们提出的全自动框架将 2 个深度学习(DL)模型应用于 CT 图像,执行区域识别和全身轮廓提取(不包括四肢),然后将 PET 区域划分为低质量和高质量。在分类方面,研究了 2 种主流的人工智能驱动方法,包括来自放射学特征的机器学习(ML)和深度学习。所有模型均根据每位医生的评分进行训练和评估,并报告评分的平均值。在同一个测试数据集上对 DL 和放射组学-ML 模型进行了评估。使用曲线下面积、准确性、灵敏度和特异性对放射组学-ML 模型和 DL 模型在同一测试数据集上进行了性能评估,并使用德隆检验比较了 P 值 结果:在头颈部、胸部、胸腹间隙、腹部和骨盆区域,最佳模型的曲线下面积、准确性、灵敏度和特异性分别为 [0.97、0.95、0.96 和 0.95]、[0.85、0.82、0.87 和 0.76]、[0.83、0.76、0.68 和 0.80]、[0.73、0.72、0.64 和 0.77]以及[0.72、0.68、0.70 和 0.67]。在所有区域,根据读片机内部重现性较高的质量分数开发的模型性能最高。DL模型和放射组学-ML模型的比较没有显示出任何统计学上的显著差异,但DL模型显示出整体改善的趋势:我们开发了一种全自动、人类可感知的等效模型,用于对 18F-FDG PET 图像进行区域 IQA。我们的分析强调了在 IQA 研究中为身体区域开发单独模型并根据多位专家的共识进行数据注释的必要性。
{"title":"Fully Automated Region-Specific Human-Perceptive-Equivalent Image Quality Assessment: Application to 18 F-FDG PET Scans.","authors":"Mehdi Amini, Yazdan Salimi, Ghasem Hajianfar, Ismini Mainta, Elsa Hervier, Amirhossein Sanaat, Arman Rahmim, Isaac Shiri, Habib Zaidi","doi":"10.1097/RLU.0000000000005526","DOIUrl":"10.1097/RLU.0000000000005526","url":null,"abstract":"<p><strong>Introduction: </strong>We propose a fully automated framework to conduct a region-wise image quality assessment (IQA) on whole-body 18 F-FDG PET scans. This framework (1) can be valuable in daily clinical image acquisition procedures to instantly recognize low-quality scans for potential rescanning and/or image reconstruction, and (2) can make a significant impact in dataset collection for the development of artificial intelligence-driven 18 F-FDG PET analysis models by rejecting low-quality images and those presenting with artifacts, toward building clean datasets.</p><p><strong>Patients and methods: </strong>Two experienced nuclear medicine physicians separately evaluated the quality of 174 18 F-FDG PET images from 87 patients, for each body region, based on a 5-point Likert scale. The body regisons included the following: (1) the head and neck, including the brain, (2) the chest, (3) the chest-abdomen interval (diaphragmatic region), (4) the abdomen, and (5) the pelvis. Intrareader and interreader reproducibility of the quality scores were calculated using 39 randomly selected scans from the dataset. Utilizing a binarized classification, images were dichotomized into low-quality versus high-quality for physician quality scores ≤3 versus >3, respectively. Inputting the 18 F-FDG PET/CT scans, our proposed fully automated framework applies 2 deep learning (DL) models on CT images to perform region identification and whole-body contour extraction (excluding extremities), then classifies PET regions as low and high quality. For classification, 2 mainstream artificial intelligence-driven approaches, including machine learning (ML) from radiomic features and DL, were investigated. All models were trained and evaluated on scores attributed by each physician, and the average of the scores reported. DL and radiomics-ML models were evaluated on the same test dataset. The performance evaluation was carried out on the same test dataset for radiomics-ML and DL models using the area under the curve, accuracy, sensitivity, and specificity and compared using the Delong test with P values <0.05 regarded as statistically significant.</p><p><strong>Results: </strong>In the head and neck, chest, chest-abdomen interval, abdomen, and pelvis regions, the best models achieved area under the curve, accuracy, sensitivity, and specificity of [0.97, 0.95, 0.96, and 0.95], [0.85, 0.82, 0.87, and 0.76], [0.83, 0.76, 0.68, and 0.80], [0.73, 0.72, 0.64, and 0.77], and [0.72, 0.68, 0.70, and 0.67], respectively. In all regions, models revealed highest performance, when developed on the quality scores with higher intrareader reproducibility. Comparison of DL and radiomics-ML models did not show any statistically significant differences, though DL models showed overall improved trends.</p><p><strong>Conclusions: </strong>We developed a fully automated and human-perceptive equivalent model to conduct region-wise IQA over 18 F-FDG PET images. Our analysis emphasizes the","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142521233","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract: Invasive lobular breast cancer (ILBC) is characterized with low tracer uptake on 18 F-FDG PET images. ILBC metastasis to gastrointestinal tract is a rare clinic scenario. We present a case of ILBC who presented with gastric metastasis and diagnosed with 68 Ga-FAPI-46 PET/CT and 18 F-FDG PET/CT images.
{"title":"Rare Gastric Metastasis of Lobular Type Breast Cancer Detected With 68 Ga-FAPI-46 PET/CT.","authors":"Elife Akgun, Omer Faruk Şahin, Mehmetcan Baloglu, Goksel Alcin, Enver Yarikkaya, Esra Arslan","doi":"10.1097/RLU.0000000000005542","DOIUrl":"10.1097/RLU.0000000000005542","url":null,"abstract":"<p><strong>Abstract: </strong>Invasive lobular breast cancer (ILBC) is characterized with low tracer uptake on 18 F-FDG PET images. ILBC metastasis to gastrointestinal tract is a rare clinic scenario. We present a case of ILBC who presented with gastric metastasis and diagnosed with 68 Ga-FAPI-46 PET/CT and 18 F-FDG PET/CT images.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142544219","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract: A 34-year-old woman underwent 18 F-FDG PET/CT scan following a diagnosis of an invasive mole. Although CT indicated multiple lung metastases, FDG uptakes were not evident. In contrast, FDG uptakes were observed in the pelvic lesion including the left ovary, suggestive of ovarian metastasis. MRI disclosed a ring-shaped enhancement typical of a corpus luteum. This corpus luteum was supposed to be maintained by the elevated human chorionic gonadotropin excreted from the invasive mole. This case underlines the importance of careful interpretation of 18 F-FDG PET/CT in the evaluation of invasive moles, highlighting potential false positive in corpus luteum.
{"title":"Diagnostic Challenges in Invasive Mole With 18 F-FDG PET/CT.","authors":"Akihiko Minami, Ryusuke Nakamoto, Takuto Shimamura, Yurika Kitano, Yuji Nakamoto","doi":"10.1097/RLU.0000000000005378","DOIUrl":"10.1097/RLU.0000000000005378","url":null,"abstract":"<p><strong>Abstract: </strong>A 34-year-old woman underwent 18 F-FDG PET/CT scan following a diagnosis of an invasive mole. Although CT indicated multiple lung metastases, FDG uptakes were not evident. In contrast, FDG uptakes were observed in the pelvic lesion including the left ovary, suggestive of ovarian metastasis. MRI disclosed a ring-shaped enhancement typical of a corpus luteum. This corpus luteum was supposed to be maintained by the elevated human chorionic gonadotropin excreted from the invasive mole. This case underlines the importance of careful interpretation of 18 F-FDG PET/CT in the evaluation of invasive moles, highlighting potential false positive in corpus luteum.</p>","PeriodicalId":10692,"journal":{"name":"Clinical Nuclear Medicine","volume":null,"pages":null},"PeriodicalIF":9.6,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141751283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}