Annals of Nuclear Medicine最新文献

{"title":"The diagnostic value of whole-body HYNIC-PSMA 11 -Tc [^{99 m}Tc] SPECT/CT scan in early staging of patients with moderate- and high-risk prostate cancer.","authors":"Vahid RoshanRavan, Hamidreza Ghorbani, Salman Soltani, Elham Shabani, Hosein Tanha, Ali Moradi, Kamran Aryana, Hasan Mehrad Majd, Behzad Aminzadeh, Reza Jafaei Daloei, Keyvan Sadri, Mahdi Momen Nejhad, Atena Aghaee","doi":"10.1007/s12149-025-02055-2","DOIUrl":"https://doi.org/10.1007/s12149-025-02055-2","url":null,"abstract":"<p><strong>Objective: </strong>This prospective study aims to compare the diagnostic yield of conventional imaging modalities, including CT scan, bone scan, with ^{99 m}Tc-HYNIC-PSMA-11, in detecting local and distant metastases for initial staging in treatment-naïve, intermediate- to high-risk prostate cancer (PCa) patients. ⁶⁸ Ga-PSMA or 18F-PSMA PET/CT scans are known as the preferred modalities for staging this kind of patients, but there are limited PET/CT facilities in developing countries.</p><p><strong>Materials and methods: </strong>A total of 63 treatment-naïve PCa patients were included in the study for the initial staging. Each patient underwent a chest and abdominopelvic CT scan, bone scan, and ^{99 m}Tc-HYNIC-PSMA-11 imaging. ^{99 m}Tc-HYNIC-PSMA-11 (20-25 mCi) and ^{99 m}TC-MDP (20-25 mCi) were administered intravenously, and imaging was performed 3-4 h post-injection. Nuclear scans included whole-body imaging with SPECT or SPECT/CT phases in two fields (thorax and abdominopelvic), along with imaging of suspicious areas. All images were independently interpreted and analyzed on a patient-based and region-based level.</p><p><strong>Results: </strong>Region-based analysis revealed osseous metastatic regions in 78 (median 0 per patient, range 0-9), 25, and 87 (median 2 per patient, range 0-9) regions in the PSMA-11 scan, CT scan, and bone scan, respectively. CT scan was limited in assessing all nine osseous regions due to its restricted field of view. The positive detection rate for local lymph-node and distant metastases (distant lymphatic, osseous, and visceral) was 18/63 (28.6%) and 23/63 (41.3%) for the PSMA-11 scan, and 20/63 (31.8%) and 27/63 (42.9%) for the CT scan, with no significant difference between the two modalities. Overall, the combined findings of the PSMA-11 scan, CT scan, and bone scan were positive in 31/63 (49.2%), 34/63 (53.9%), and 32/63 (50.8%) patients, respectively. Equivocal findings were reported in 1 PSMA-11 scan, 13 CT scans, and 4 bone scans. When equivocal findings were considered as positive for metastasis, the accuracy, sensitivity, and specificity were 78.2%, 60%, and 96.4% for the PSMA-11 scan; 76.1%, 62.9%, and 89.3% for the CT scan; and 85%, 78.6%, and 91.4% for the bone scan. There was a strong agreement in disease staging and overall findings between the PSMA-11 scan and the combination of CT and bone scans (Ƙ = 0.949 and Ƙ = 0.905, respectively; p < 0.001).</p><p><strong>Conclusion: </strong>The comparable accuracy and high concordance between ^{99 m}Tc-HYNIC-PSMA-11 and conventional CT and bone scans make ^{99 m}Tc-HYNIC-PSMA-11 an effective method for initial staging of intermediate- to high-risk prostate cancer patients.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958024","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Molecular imaging using ¹⁸F-FDG PET/CT and circulating inflammatory and immune indicators to predict pathological response to neoadjuvant camrelizumab plus chemotherapy in resectable stage IIIA-IIIB NSCLC.","authors":"Kaiyue Wang, Xiaohan Wang, Xue Meng, Guodong Zhang, Guoxin Cai","doi":"10.1007/s12149-025-02057-0","DOIUrl":"https://doi.org/10.1007/s12149-025-02057-0","url":null,"abstract":"<p><strong>Objective: </strong>This study aims to predict the pathological response of patients with non-small cell lung cancer (NSCLC) in prospective trials of neoadjuvant camrelizumab combined with chemotherapy by integrating the clinical characteristics, PET-associated parameters, and hematological indicators.</p><p><strong>Methods: </strong>A prospective analysis was conducted among 24 patients undergoing surgery after neoadjuvant camrelizumab plus chemotherapy. ¹⁸F-Fluorodeoxyglucose (FDG) scans were performed before and after neoadjuvant therapy (pre-NAT, post-NAT). Tumor and secondary lymphoid organ metabolic parameters, along with circulating inflammatory and immune indicators, were measured and correlated with pathological response. Receiver operating characteristic (ROC) curve was used to assess biomarkers' predictive accuracy.</p><p><strong>Results: </strong>Major pathological response (MPR) and pathological complete response (pCR) were achieved in 45.8% (11/24) and 33.3% (8/24) of patients. Before treatment, patients who achieved a pCR had significantly greater SUVmax values (p = 0.011) than non-pCR patients. After treatment, the MPR group exhibited significantly lower SUVmax values than the non-MPR group (p = 0.048). The rate of change in the SUVmax (ΔSUVmax%) differed significantly between the pCR and non-pCR groups (p = 0.019) and between the MPR and non-MPR groups (p = 0.013). After NAT, the lymph nodes' SUVmax in the ypN0 group was significantly lower than that in the ypN + group (p = 0.032). ROC analysis indicated that pre-NAT SUVmax and ΔSUVmax% best distinguished pCR and MPR patients, respectively, with AUCs of 0.82 (p = 0.012) and 0.80 (p = 0.014).</p><p><strong>Conclusion: </strong>Pre-NAT SUVmax, and ΔSUVmax% are promising biomarkers for predicting pathological response to neoadjuvant camrelizumab and chemotherapy.</p><p><strong>Clinicaltrials: </strong></p><p><strong>Gov id: </strong>NCT06241807.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-05-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143952847","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Test for shortening the computation time for imaging of appearance time for cerebral blood using H₂¹⁵O and positron emission tomography.","authors":"Takuya Kobata, Takashi Norikane, Mitsumasa Murao, Yuri Manabe, Yuka Yamamoto, Katsuya Mitamura, Tetsuhiro Hatakeyama, Keisuke Miyake, Yoshihiro Nishiyama, Nobuyuki Kudomi","doi":"10.1007/s12149-025-02054-3","DOIUrl":"https://doi.org/10.1007/s12149-025-02054-3","url":null,"abstract":"<p><strong>Objective: </strong>Delayed appearance of blood in the brain may be a pathophysiological indicator of stenosis or occlusion. Image computation for blood appearance generally requires considerable time. Therefore, in this study, we aimed to shorten the computation time using several algorithms and tested their accuracy and precision using examination data and simulations, as well as the computation time.</p><p><strong>Methods: </strong>We retrospectively analyzed the images of patients with suspected cerebrovascular disorders who underwent PET study with ¹⁵O-labeled tracers. The blood appearance time images were computed by fitting a stepwise time-shifted tissue curve and applying a single-tissue compartment model with several modes of fixing or not fixing the washout rate and/or blood volume terms. The appearance times in images for these modes were compared with the time obtained by ROI-based non-linear fitting in several brain regions. The effects of noise and parameter fixation are assessed using a simulation study.</p><p><strong>Results: </strong>The computation time was 28.2 ± 6.2 min, 16.6 ± 3.9 min, and 2.6 ± 1.1 min for modes without fixing, with fixing blood volume, and washout rate, respectively. The mean difference in the appearance time against ROI-based non-linear fitting was less than 1 s with a standard deviation (SD) of approximately 2.5 s for those modes. The images obtained were similar for all three modes. The simulation showed that SD on the estimated appearance times were acceptable, namely < 1.5 s, for these modes.</p><p><strong>Conclusion: </strong>This study suggests the possibility of visualizing appearance time images in the brain with a reasonable computation time of approximately 2.5 min at the minimum and 30 min at the most.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143964945","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Validation study on accuracy of our newly proposed methods for post-therapeutic liver reserve capacity estimation utilizing ^{99 m}Tc-GSA scintigraphy prior to carbon-ion radiotherapy.","authors":"Kana Yamazaki, Tatsuya Higashi, Ryuichi Nishii, Tamasa Terada, Yoichi Mizutani, Yuki Ogura, Mana Akamatsu, Toshitaka Kuroiwa, Hirokazu Makishima, Masaru Wakatsuki, Hitoshi Ishikawa","doi":"10.1007/s12149-025-02048-1","DOIUrl":"https://doi.org/10.1007/s12149-025-02048-1","url":null,"abstract":"<p><strong>Objective: </strong>Carbon-ion radiotherapy (CIRT) is known as a promising treatment for liver tumors. However, no method has been established for estimating post-therapeutic residual liver reserve capacity (pRLRC). We previously introduced the estimation method of pRLRC using ^{99 m}Tc-galactosyl human serum albumin (^{99 m}Tc-GSA) scintigraphy (Yamazaki method). In this study, we developed \"Yamazaki-variant\" method for pRLRC using dose distribution data of CIRT planning. The purpose of this study was to compare pRLRC calculated by Yamazaki method and Yamazaki-variant in CIRT patients for liver tumors, and to provide the clinical advantages in both methods in terms of estimating ability of pRLRC.</p><p><strong>Methods: </strong>Patients who received CIRT for liver tumors in our hospital and underwent ^{99 m}Tc-GSA scintigraphy before and 3 months after CIRT, and contrast-enhanced liver MRI within 1 month before CIRT were included. A total of 71 patients, 21 additional to the 50 previously reported, were evaluated. The maximal removal rate of ^{99 m}Tc-GSA (GSA-Rmax) was analyzed and the GSA-Rmax of the estimated residual liver (GSA-RL) was calculated using fusion images of MRI and SPECT by Yamazaki method. In Yamazaki-variant, multiple simulations were performed using the dose distribution of the CIRT planning and SPECT fusion images to obtain higher diagnostic accuracy of GSA-RL. Two of these estimates, Validation 1 and Validation 2 by Yamazaki-variant, were used as validation data. GSA-RL and Validation 1 and 2 were compared with GSA-Rmax 3 months after CIRT (post-GSA-Rmax) using linear regression analysis.</p><p><strong>Results: </strong>GSA-RL, Validation 1 and 2 were calculated as 0.448 ± 0.214, 0.413 ± 0.199 and 0.435 ± 0.208 mg/min, respectively. Post-GSA-Rmax was 0.428 ± 0.220 mg/min. The relationship between post-GSA-Rmax and each parameter was y = 0.02 + 0.90x (R² = 0.78) for GSA-RL, y = 0.02 + 0.94x (R² = 0.79) for Estimation 1, y = 0.02 + 0.99x (R² = 0.80) for Estimation 2, respectively (P <.0001). Both Yamazaki method and Yamazaki-variant showed comparable accurate estimation ability for post-GSA-Rmax.</p><p><strong>Conclusions: </strong>The estimation of pRLRC by Yamazaki method and Yamazaki-variant was in good agreement with post-therapeutic liver reserve capacity after CIRT, and there was no difference in the accuracy of the estimation. The usefulness of Yamazaki method, which is simpler and more clinically applicable, was confirmed.</p><p><strong>Trial registration: </strong>This study is registered in UMIN Clinical Trials Registry (UMIN-CTR) as UMIN study ID: UMIN000038328 and UMIN000049770, UMIN000038174.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143951940","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Comparison and cutoff values of two amyloid PET scaling methods: centiloid scale and amyloid-β load.","authors":"Ryo Yamakuni, Mitsunari Abe, Naoyuki Ukon, Hiroshi Matsuda, Harumasa Takano, Nobukatsu Sawamoto, Atsushi Shima, Yuhei Mori, Hirofumi Sekino, Shiro Ishii, Kenji Fukushima, Toshiki Mizuno, Jin Narumoto, Takashi Hanakawa, Hiroshi Ito","doi":"10.1007/s12149-025-02051-6","DOIUrl":"https://doi.org/10.1007/s12149-025-02051-6","url":null,"abstract":"<p><strong>Objective: </strong>To enhance amyloid-β (Aβ) positron emission tomography (PET) diagnostic accuracy and adjust for tracer differences, the amyloid-β load (Aβ_L) and centiloid (CL) scale were developed. However, the correlation and superiority of these indicators remain unclear. This study aimed to elucidate the correlation and determine cutoff values.</p><p><strong>Methods: </strong>Data from 281 consecutive participants (144 males; mean age, 69.6 years) in the Parkinson's and Alzheimer's Disease Dimensional Neuroimaging Initiative study were analyzed. Initial data, including Aβ PET, structural MRI, and Global Clinical Dementia Rating (G-CDR) scores, were reviewed. CL was calculated using the cerebral cortical and striatum Volume of Interest templates (VOI) and whole cerebellum VOI. Aβ_L was calculated using voxel-wise regression with two canonical images representing non-displaceable and specific binding. Visual estimation was performed by five radiologists, with two independently classify as visual-only Aβ-negative or Aβ-positive. The discrepancies were resolved through majority consensus involving a third observer. Additional visual estimation was performed for cases with CL value under 10 but visual-only Aβ-positive, and those over 30 but Aβ-negative, by two nuclear medicine radiologists. The discrepancies were resolved through discussion and classify as final Aβ diagnosis negative or positive.</p><p><strong>Results: </strong>CL and Aβ_L correlated linearly (CL = Aβ_L × 2.10-9.40, R² = 0.923). In predicting final Aβ diagnosis negative versus positive, both CL (AUC = 0.996) and Aβ_L (AUC = 0.997) were significant, with no significant differences (P = 0.882). The Youden Index was 23.3 for CL and 15.6 for Aβ_L. In predicting cognitively normal participants (G-CDR = 0) from others, both CL (AUC = 0.687) and Aβ_L (AUC = 0.667) were significant, with no significant differences (P = 0.379). The Youden Index was 11.9 for CL and 11.6 for Aβ_L. Using a non-biased Gaussian mixture model, the normal group's mean and SD were -2.5 (SD = 6.5) for CL and 3.7 (SD = 3.0) for Aβ_L, resulting in 95% limits (mean + 2SD) of 10.4 for CL and 9.7 for Aβ_L.</p><p><strong>Conclusions: </strong>This study demonstrated a high correlation and non-inferiority between CL and Aβ_L.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958021","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Multimodal imaging analysis of autosomal recessive Parkinson's disease.","authors":"Başak Soydaş-Turan, Gül Yalçın-Çakmaklı, Eser Lay Ergün, Hacer Dasgin, Kader Karli Oguz, Bulent Elibol, Omer Ugur, Bilge Volkan-Salanci","doi":"10.1007/s12149-025-02053-4","DOIUrl":"https://doi.org/10.1007/s12149-025-02053-4","url":null,"abstract":"<p><strong>Objective: </strong>Pathophysiological backgrounds of idiopathic Parkinson's disease (IPD) and autosomal recessive monogenic Parkinson's disease (AR-PD) have common features that can be assessed through multimodal imaging. In this study, the striatal and myocardial dopaminergic innervation, brain 18F-FDG metabolism, resting-state functional activity of basal ganglia network (BGN) and white-matter (WM) microstructure were evaluated in AR-PD with respect to IPD, to investigate whether AR-PD can be subtyped as \"brain-first\" parkinsonism according to recent etiopathogenetic classification effort.</p><p><strong>Methods: </strong>Forty patients (17 with Parkin, 3 with DJ-1 mutations and 20 with IPD) were included. Striatal dopaminergic innervation was assessed semi-quantitatively by 18F-DOPA PET, and cardiac 18F-DOPA uptake was also evaluated. Brain 18F-FDG PET images were evaluated visually. Resting-state functional MRI and diffusion tensor imaging (DTI) were used to assess the BGN activity and WM microstructural alterations.</p><p><strong>Results: </strong>AR-PD patients showed significantly decreased 18F-DOPA uptake in caudate corpus compared to both IPD and controls, with a more symmetrical striatal dopaminergic denervation. Myocardial 18F-DOPA uptake in AR-PD was similar to controls, while it was significantly reduced in IPD. There was no significant difference in cortical 18F-FDG metabolism and functional activity of BGN between PD groups. The DTI data revealed more extensive WM microstructural damage in AR-PD compared to IPD.</p><p><strong>Conclusions: </strong>AR-PD group showed additional significant decreased 18F-DOPA uptake in caudate corpus and more symmetrical striatal denervation. Additionally, relatively preserved myocardial innervation, cortical metabolic and WM microstructural changes suggest the possibility of \"brain-first\" type progression in AR-PD. Also, 18F-DOPA PET/CT may be a practical tool for evaluating dopaminergic innervation of striatum and heart together, but further evaluation is needed in this area.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143966691","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Can interactive artificial intelligence be used for patient explanations of nuclear medicine examinations in Japanese?","authors":"Norikazu Matsutomo, Mitsuha Fukami, Tomoaki Yamamoto","doi":"10.1007/s12149-025-02047-2","DOIUrl":"https://doi.org/10.1007/s12149-025-02047-2","url":null,"abstract":"<p><strong>Objective: </strong>This study aimed to evaluate the accuracy and validity of patient explanations about nuclear medicine examinations generated in Japanese using ChatGPT- 3.5 and ChatGPT- 4.</p><p><strong>Methods: </strong>ChatGPT was used to generate Japanese language explanations for seven single-photon emission computed tomography examinations (bone scintigraphy, brain perfusion imaging, myocardial perfusion imaging, dopamine transporter scintigraphy [DAT scintigraphy], sentinel lymph node scintigraphy, lung perfusion scintigraphy, and renal function scintigraphy) and ¹⁸F-fluorodeoxyglucose positron emission tomography. Nineteen board-certified nuclear medicine technologists evaluated the accuracy and validity of the responses using a 5-point scale.</p><p><strong>Results: </strong>ChatGPT- 4 demonstrated significantly higher accuracy and validity than ChatGPT- 3.5, with 77.9% of responses rated as above average or excellent for accuracy, in comparison to 36.3% for ChatGPT- 3.5. For validity, 73.1% of ChatGPT- 4's responses were rated as above average or excellent, in comparison to 19.6% for ChatGPT- 3.5. ChatGPT- 4 outperformed ChatGPT- 3.5 in all examinations, with notable improvements in bone scintigraphy, lung perfusion scintigraphy, and DAT scintigraphy.</p><p><strong>Conclusion: </strong>These findings suggest that ChatGPT- 4 can be a valuable tool for providing patient explanations of nuclear medicine examinations. However, its application still requires expert supervision, and further research is needed to address potential risks and security concerns.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143966522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Suvmax of the lesion should be considered in the treatment plan for stage I non-small cell lung cancer.","authors":"Gökhan Kocaman, Farrukh Ibrahımov, Yusuf Kahya, Mine Araz, Atilla Halil Elhan, Serkan Enön","doi":"10.1007/s12149-025-02049-0","DOIUrl":"https://doi.org/10.1007/s12149-025-02049-0","url":null,"abstract":"<p><strong>Objectives: </strong>High maximum standardized uptake value (SUVmax) is associated with poorly differentiated tumors and lymph node metastasis. It is still controversial which tumors can be treated with sublobar resection and there are publications stating that SUVmax of the tumor may be important in choosing sublobar resection. Our aim in this study is to examine the prognostic value of tumor SUVmax in stage 1 non-small cell lung cancer and to determine its place in sublobar resection preference.</p><p><strong>Methods: </strong>The study included 314 patients who underwent wedge resection, segmentectomy or lobectomy for pathological stage I NSCLC with tumor size ≤ 3 cm between January 2008 and December 2020. SUVmax of the tumors are dichotomized according to ROC threshold value 5.2 and prognostic factors for recurrence-free and overall survival were analysed.</p><p><strong>Results: </strong>In the multivariate survival analysis, SUVmax (p = 0.012), lymphovascular and/or perineural invasion (p < 0.001) and visceral pleural invasion (p = 0.031) were found to be independent prognostic factors for recurrence-free survival; age (p = 0.027), sex (p = 0.010) and SUVmax (p = 0.036) for overall survival. While there was no difference between lobar or sublobar resection in terms of recurrence-free survival (p = 0.647) in patients with SUVmax ≤ 5.2, lobectomy was found to be advantageous over sublobar resection for recurrence-free survival in patients with SUVmax > 5.2 (76.6% ± 3.9% / 53.4% ± 12.1%, p = 0.006, respectively).</p><p><strong>Conclusions: </strong>High SUVmax (> 5.2) is associated with poor recurrence-free survival and overall survival rates in pathological stage 1 NSCLC patients. In stage 1 patients, sublobar resection should be avoided if the primary tumor has a high SUVmax.</p>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":" ","pages":""},"PeriodicalIF":2.5,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143974781","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Fully automatic categorical analysis of striatal subregions in dopamine transporter SPECT using a convolutional neural network","authors":"Thomas Buddenkotte,&nbsp;Catharina Lange,&nbsp;Susanne Klutmann,&nbsp;Ivayla Apostolova,&nbsp;Ralph Buchert","doi":"10.1007/s12149-025-02038-3","DOIUrl":"10.1007/s12149-025-02038-3","url":null,"abstract":"<div><h3>Objective</h3><p>To provide fully automatic scanner-independent 5-level categorization of the [¹²³I]FP-CIT uptake in striatal subregions in dopamine transporter SPECT.</p><h3>Methods</h3><p>A total of 3500 [¹²³I]FP-CIT SPECT scans from two in house (<i>n</i> = 1740, <i>n</i> = 640) and two external (<i>n</i> = 645, <i>n</i> = 475) datasets were used for this study. A convolutional neural network (CNN) was trained for the categorization of the [¹²³I]FP-CIT uptake in unilateral caudate and putamen in both hemispheres according to 5 levels: normal, borderline, moderate reduction, strong reduction, almost missing. Reference standard labels for the network training were created automatically by fitting a Gaussian mixture model to histograms of the specific [¹²³I]FP-CIT binding ratio, separately for caudate and putamen and separately for each dataset. The CNN was trained on a mixed-scanner subsample (<i>n</i> = 1957) and tested on one independent identically distributed (IID, <i>n</i> = 1068) and one out-of-distribution (OOD, <i>n</i> = 475) test dataset.</p><h3>Results</h3><p>The accuracy of the CNN for the 5-level prediction of the [¹²³I]FP-CIT uptake in caudate/putamen was 80.1/78.0% in the IID test dataset and 78.1/76.5% in the OOD test dataset. All 4 regional 5-level predictions were correct in 54.3/52.6% of the cases in the IID/OOD test dataset. A global binary score automatically derived from the regional 5-scores achieved 97.4/96.2% accuracy for automatic classification of the scans as normal or reduced relative to visual expert read as reference standard.</p><h3>Conclusions</h3><p>Automatic scanner-independent 5-level categorization of the [¹²³I]FP-CIT uptake in striatal subregions by a CNN model is feasible with clinically useful accuracy.</p></div>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":"39 6","pages":"618 - 630"},"PeriodicalIF":2.5,"publicationDate":"2025-03-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12149-025-02038-3.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143639371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Pulmonary blood flow quantification in humans from 15O-water PET","authors":"Oona Rainio,&nbsp;Henri Kärpijoki,&nbsp;Juhani Knuuti,&nbsp;Riku Klén","doi":"10.1007/s12149-025-02035-6","DOIUrl":"10.1007/s12149-025-02035-6","url":null,"abstract":"<div><h3>Purpose</h3><p>Dynamic positron emission tomography (PET) imaging has commonly been applied to study blood perfusion in the human brain and heart, but there is a very limited amount of existing research about the suitability of this method for many other organs of interest. Here, we focus on the quantification of pulmonary blood flow (PBF) in human lungs. We evaluate both the potential of the <span>(^{15})</span>O-water PET imaging via compartmental modeling with automatic volume of interest (VOI) selection for PBF quantification and study the possible differences in PBF caused by different patient characteristics such as age or sex.</p><h3>Procedures</h3><p>We systematically fit the one-tissue compartment model to the mean time-activity curves derived from the <span>(^{15})</span>O-water PET data of 103 patients. The machine learning-based segmentation tool TotalSegmentator is utilized to find segmentation masks for different lung lobes and right ventricle of the heart. Additionally, we automatically remove the majority of the air inside the lung lobe VOIs and the areas surrounding subclavian arteries and brachiocephalic veins with the help of binary erosion and dilatation operations. After the model fitting, we evaluate possible differences in the results caused by age, sex, weight, and body mass index (BMI) by performing Mann–Whitney <i>U</i> tests between different patient subgroups and computing Spearman’s correlations coefficients.</p><h3>Results</h3><p>The estimated PBF within all the lung lobes had a mean of1.21±0.825 mL/min/cm<span>(^3)</span> and a median of 1.03 mL/min/cm<span>(^3)</span>, but this value was notably lower in right lower lung lobe and much higher in the upper lung lobes. The PBF was higher in both the female patients and in the patients under 65 years but not statistically significantly so. The individual variation was very high.</p><h3>Conclusions</h3><p>The PBF quantification based on <span>(^{15})</span>O-water PET imaging combined with our automatic VOI selection method is an effective method to produce relatively realistic results. In case of upper lung lobes, the results are likely overestimated if pulmonary vessels are not removed from the VOI. The accurate estimation of the air volume within the lung lobe VOIs is also a non-trivial problem. More research on this topic is warranted to find whether there is a decreasing trend between PBF and age or significant differences between the sexes.</p></div>","PeriodicalId":8007,"journal":{"name":"Annals of Nuclear Medicine","volume":"39 6","pages":"600 - 607"},"PeriodicalIF":2.5,"publicationDate":"2025-03-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s12149-025-02035-6.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633183","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}