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[1]ÁÎÒ»·²,ÕÅ ËÉ,Íò±¦Óñ,µÈ.18F-FDG PET/CTÔڷιÂÁ¢ÊµÐÔ½á½ÚÁ¼¶ñÐÔ¼ø±ðÕï¶ÏÖеļÛÖµ·ÖÎö[J].Öлª·Î²¿¼²²¡ÔÓÖ¾,2024,(03):373-378.[doi:10.3877/cma.j.issn.1674-6902.2024.03.006 ]
¡¡Liao Yifan,Zhang Song,Wan Baoyu,et al.Value of 18F-FDG PET/CT in the differential diagnosis of benign and malignant pulmonary solitary solid nodules[J].,2024,(03):373-378.[doi:10.3877/cma.j.issn.1674-6902.2024.03.006 ]
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18F-FDG PET/CTÔڷιÂÁ¢ÊµÐÔ½á½ÚÁ¼¶ñÐÔ¼ø±ðÕï¶ÏÖеļÛÖµ·ÖÎö(PDF)

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ÆÚÊý:
2024Äê03ÆÚ
Ò³Âë:
373-378
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2024-06-25

ÎÄÕÂÐÅÏ¢/Info

Title:
Value of 18F-FDG PET/CT in the differential diagnosis of benign and malignant pulmonary solitary solid nodules
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400037 ÖØÇì,½¾ü(µÚÈý)¾üÒ½´óѧµÚ¶þ¸½ÊôÒ½ÔººËҽѧ¿Æ
Author(s):
Liao Yifan Zhang Song Wan Baoyu Huang Wenjie Li Jiaxu Deng Jie Hu Jie Qin Xianli.
Department of Nuclear Medicine, The Second Affiliated Hospital of Army Medical University, Chongqing, 400037, China
¹Ø¼ü´Ê:
·Î¹ÂÁ¢ÊµÐÔ½á½Ú ¼ø±ðÕï¶Ï 18F-·úÍÑÑõÆÏÌÑÌÇÕýµç×Ó·¢ÉäÐͼÆËã»ú¶Ï²ã
Keywords:
Pulmonary solitary solid nodule Antidiastole 18F-fluorodeoxyglucose positron emission tomography computed tomography
·ÖÀàºÅ:
R563
DOI:
10.3877/cma.j.issn.1674-6902.2024.03.006
ÕªÒª:
Ä¿µÄ ·ÖÎöÁ¼¶ñÐԷιÂÁ¢ÊµÐÔ½á½Ú(pulmonary solitary solid nodule, PSSN)µÄÁÙ´²×ÊÁϼ°18F-·úÍÑÑõÆÏÌÑÌÇÕýµç×Ó·¢ÉäÐͼÆËã»ú¶Ï²ã(18F-fluorodeoxyglucose positron emission tomography/computed tomography, 18F-FDG PET/CT)Ó°ÏñÌØÕ÷²îÒì,ÒÔÌá¸ßPSSNÁ¼¶ñÐÔ¼ø±ðÕï¶ÏµÄÒâÒå¡£·½·¨ Ñ¡Ôñ2015Äê1ÔÂÖÁ2023Äê6ÔÂÎÒÔºÊÕÖÎÐÐ18F-FDG PET/CT¼ì²éµÄPSSN»¼Õß312Àý,²¡Àí½á¹û¶ñÐÔ211ÀýΪ¹Û²ì×é,Á¼ÐÔ101ÀýΪ¶ÔÕÕ×é,¼ÆËã18F-FDG PET/CTÕï¶ÏPSSNÁ¼¶ñÐÔµÄÁéÃô¶È¡¢ÌØÒì¶È¡¢×¼È·ÂÊ¡¢ÑôÐÔÔ¤²âÖµ¡¢ÒõÐÔÔ¤²âÖµ¡£±È½ÏÁ½×éÁÙ´²×ÊÁÏ¡¢Ó°ÏñÑ§ÌØÕ÷²îÒì,½øÐÐPSSNÁ¼¶ñÐÔÏà¹ØÐÔ·ÖÎö¡£È·¶¨SUVmax×î¼ÑÕï¶ÏÁÙ½çÖµ,»æÖÆROCÇúÏßÅжÏÄ£ÐÍÕï¶ÏÒâÒå¡£½á¹û ²ÉÓÃ18F-FDG PET/CTÕï¶ÏPSSN¶ñÐÔÁéÃô¶È80.59%,ÌØÒì¶È73.33%,׼ȷÂÊ78.85%,ÑôÐÔÔ¤²âÖµ90.52%,ÒõÐÔÔ¤²âÖµ54.46%¡£Á½×éÄêÁä¼°18F-FDG PET/CTÓ°ÏñÑ§ÌØÕ÷(½á½Ú×î´ó¾¶¡¢Ã«´ÌÕ÷¡¢·ÖÒ¶Õ÷¡¢ÐØÄ¤Ç£Á¬¡¢¿ÕÅÝÕ÷¡¢Ñª¹Ü¼¯ÊøÕ÷¡¢¿ÕÆøÖ§Æø¹ÜÕ÷¡¢SUVmax)²îÒìÓÐͳ¼ÆÑ§ÒâÒå(P<0.05)¡£Ö¸±êÓëPSSNÁ¼¶ñÐÔÕýÏà¹Ø(P<0.05),Ïà¹ØÏµÊý·Ö±ðΪ0.277¡¢0.301¡¢0.139¡¢0.222¡¢0.265¡¢0.224¡¢0.191¡¢0.133¡¢0.474¡£¶þÔªLogistic»Ø¹é·ÖÎöÏÔʾ,PSSNÁ¼¶ñÐÔÓë¿ÕÅÝÕ÷¡¢Ñª¹Ü¼¯ÊøÕ÷¡¢SUVmax²îÒì¾ßÓÐͳ¼ÆÑ§ÒâÒå(P<0.05)¡£SUVmax=3.3ΪÁÙ½çÖµÕï¶ÏPSSNÁ¼¶ñÐÔÁéÃô¶È86.29%,ÌØÒì¶È56.20%,׼ȷÂÊ73.08%,ÑôÐÔÔ¤²â71.56%,ÒõÐÔÔ¤²â76.24%¡£½áÂÛ PSSN×î¼ÑSUVmaxÕï¶ÏÁÙ½çÖµ3.3¿ÉÌá¸ß18F-FDG PET/CTÕï¶ÏPSSNÁ¼¶ñÐÔµÄÁéÃô¶È¼°ÒõÐÔÔ¤²â¡£½áºÏÁÙ´²×ÊÁϼ°18F-FDG PET/CTÓ°ÏñÌØÕ÷×ۺϷÖÎö¿ÉÌá¸ßPSSNÁ¼¶ñÐÔ¼ø±ðÕï¶ÏµÄÒâÒå¡£
Abstract:
Objective The clinical data of benign and malignant pulmonary solitary solid nodule(PSSN)and the differences of 18F-FDG PET/CT image characteristics were analyzed to improve the differential diagnosis of benign and malignant PSSN. Methods Data of 312 patients were examined on 18F-FDG PET/CT in our hospital from January 2015 to June 2023. The pathological results showed that 211 patients with malignant were in the observation group and 101 patients with benign were in the control group.The sensitivity, specificity, accuracy, positive predictive value and negative predictive value of 18F-FDG PET/CT in the diagnosis of benign and malignant PSSN were calculated.The clinical data and imaging characteristics of the two groups were compared. The benign and malignant correlation of PSSN was analyzed.The optimal diagnostic critical value of SUVmax was determined, and ROC curve was drawn to judge the diagnostic value of the model. Results 18F-FDG PET/CT was used to diagnose benign and malignant PSSN with 80.59% sensitivity, 73.33% specificity, 78.85% accuracy, 90.52% positive predictive value and 54.46% negative predictive value. There were significant differences in age and 18F-FDG PET/CT imaging features(maximum nodule diameter, burr sign, lobular sign, pleural involvement, vacuole sign, vascular cluster sign, air bronchial sign and SUVmax)between the two groups(P<0.05).The above data were positively correlated with the benign and malignant correlation of PSSN(P<0.05), and the correlation coefficients were 0.277, 0.301, 0.139, 0.222, 0.265, 0.224, 0.191, 0.133, 0.474, respectively. Binary Logistic regression analysis of the above data and PSSN benign and malignant showed that there were statistically significant differences between benign and malignant PSSN and vacuole sign, vascular cluster sign and SUVmax(P<0.05).The critical value of SUVmax=3.3 was 86.29% sensitivity, 56.20% specificity, 73.08% accuracy, 71.56% positive predictive value and 76.24% negative predictive value in the diagnosis of benign and malignant PSSN. Conclusion The optimal SUVmax diagnostic critical value 3.3 of PSSN can improve the sensitivity and negative predictive value of 18F-FDG PET/CT in the diagnosis of benign and malignant PSSN. Combined with clinical data and 18F-FDG PET/CT image features, it can improve the differential diagnosis value of benign and malignant PSSN.

²Î¿¼ÎÄÏ×/References:

1 De Koning H J, Van Der Aalst C M, De Jong P A, et al. Reduced Lung-Cancer Mortality with Volume CT Screening in a Randomized Trial[J]. N Engl J Med, 2020, 382(6): 503-513.
2 Ning J, Li C, Yu P, et al. Radiomic analysis will add differential diagnostic value of benign and malignant pulmonary nodules: a hybrid imaging study based on [18F]FDG and [18F]FLT PET/CT[J]. Insights Imaging, 2023, 14(1): 197.
3 Nair A, Bartlett EC, Walsh S, et al. Variable radiological lung nodule evaluation leads to divergent management recommendations[J]. Eur Respir J, 2018, 52(6): 1801359.
4 Lucia F, Louis T, Cousin F, et al. Multicentric development and evaluation of [18F]FDG PET/CT and CT radiomic models to predict regional and/or distant recurrence in early-stage non-small cell lung cancer treated by stereotactic body radiation therapy[J]. Eur J Nucl Med Mol Imag, 2023: doi: 10.1007/s00259-023-06510-y.
5 Atsushi T, Masakazu T, Takahiro I, et al. Automated Classification of Pulmonary Nodules through a Retrospective Analysis of Conventional CT and Two-phase PET Images in Patients Undergoing Biopsy[J]. Asia Oceania journal of nuclear medicine & biology, 2019, 7(1): 29-37.
6 ³Â ÓÂ, Îâ ¿¡, ½ÊÀ´º, µÈ. 18F-FDG PET/CTÁªºÏCTÈýÎ¬ÖØ½¨Ôڷνá½ÚÁ¼¶ñÐÔ¼ø±ðÖеÄÓ¦ÓÃ[J]. ÖйúÐØÐÄѪ¹ÜÍâ¿ÆÁÙ´²ÔÓÖ¾, 2024, 31(3): 357-363.
7 Âí Äþ, ÕÔ Ãú, ÌïÈØÈØ, µÈ. ¶Ô±È»ùÓÚPET/CTµÄ²»Í¬·½·¨¶¨ÐÔÕï¶Ï¹ÂÁ¢ÐԷνá½ÚµÄЧÄÜ[J]. Öйú½éÈëÓ°ÏñÓëÖÎÁÆÑ§, 2020, 17(4): 233-237.
8 ÖÜ Æ½. ̽ÌÖ18F-FDG PET/CTÁªºÏCT±¡²ãɨÃè¶Ô¹ÂÁ¢ÐԷνá½ÚÁ¼¶ñÐÔ¼ø±ðµÄÁÙ´²Ó¦ÓüÛÖµ[D]. ÄÏ»ª´óѧ, 2021, DOI: 10.27234/d.cnki.gnhuu.2020.000296.
9 MacMahon H, Naidich DP, Goo JM, et al. Guidelines for management of incidental pulmonary nodules detected on CT images: From the fleischner society 2017[J]. Radiology, 2017, 284(1): 228-243.
10 ÕÅ ´º, Àî çù, ÂÀ·¢½ð, µÈ. CTÖ§Æø¹ÜÕ÷ÔÚ¼ø±ðÁ¼¶ñÐÔʵÐÔ¹ÂÁ¢ÐԷνá½Ú(¡Ü2 cm)ÖеļÛÖµ[J]. ½¾ü¾üÒ½´óѧѧ±¨, 2022, 44(21): 2206-2210.
11 ºÕÑîÑî, ºîÑÞÑÞ, ¹ù¿­ÑÞ, µÈ. 18F-FDG PET/CTÏÔÏñÁªºÏHRCT¶Ô¹ÂÁ¢ÐԷνá½ÚµÄÓ¦ÓüÛÖµ[J]. ºÓ±±Ò½Ò©, 2021, 43(5): 701-704.
12 ÆáÇÛÁæ, ÅÓ æç, ²Ü Èñ, µÈ. ÎÞÖ¢×´·Î²¿Õæ¾ú¸ÐȾ18F-FDG-PET/CTÏÔÏñÎóÕï1Àý[J]. ´¨±±Ò½Ñ§ÔºÑ§±¨, 2022, 37(1): 122-123.
13 Ma T, Tian W, Zhang J, et al. Multiple pulmonary sclerosing pneumocytomas mimicking lung metastasis on 18F-FDG PET/CT: A rare case[J]. Asian J Surg, 2024, doi: 10.1016/j.asjsur.2024.05.153.
14 Zhan YY, Han Y, Xing Y, et al. Combined PET/CT and Autoantibody Detection in Lung Nodules Diagnosis[J]. Altern Ther Health Med, 2024, AT9525.
15 Áõ ÓÀ, ³Â Åô, ËïÕñ¹ú, µÈ.18F-FDG PET/CT²ÎÊýSUVmaxÔÚ¹ÂÁ¢ÐԷνá½ÚÕï¶ÏÖеÄÓ¦ÓÃ[J]. º£ÄÏҽѧ, 2020, 31(19): 2525-2528.
16 Weir-McCall JR, Harris3 S, Miles KA, et al. Impact of solitary pulmonary nodule size on qualitative and quantitative assessment using 18F-fluorodeoxyglucose PET/CT: the SPUTNIK trial[J]. Eur J Nucl Med Mol Imaging, 2021, 48(5): 1560-1569.
17 Marin A, Murchison JT, Skwarski KM, et al. Can dynamic imaging,using 18F-FDG PET/CT and CT perfusion differentiate between benign and malignant pulmonary nodules?[J]. Radiol Oncol, 2021, 55(3): 259-267.
18 Rafael Paez, Chirayu Shah, Angelina J Cords, et al. 18F-FSPG PET imaging for the evaluation of indeterminate pulmonary nodules[J]. PloS one, 2022, 17(3): e0265427.
19 Zhou LM, Yuan LL, Gao Y, et al. Nucleophosmin 1 overexpression correlates with 18F-FDG PET/CT metabolic parameters and improves diagnostic accuracy in patients with lung adenocarcinoma[J]. Eur J Nucl Med Mol Imag, 2021, 48(3): 904-912.
20 Äß Ã÷.[¡«(18)F]FDG PET/CTÓ°Ïñ×éѧÔÚ·ÇСϸ°û·Î°©¾«×¼Õï¶ÏºÍÔ¤ºóÆÀ¹ÀÖеÄÓ¦ÓÃ[D]. ɽ¶«´óѧ, 2023, DOI: 10.27272/d.cnki.gshdu.2023.000288.
21 Dimitris P, Saima R, Alimuddin Z, et al. Towards more accurate 18F-fluorodeoxyglucose positron emission tomography(18F-FDG PET imaging in Active and Latent Tuberculosis[J]. Int J Infect Dis, 2020, 92S: S85-S90.
22 ÕÅÀû²·, Öì ÀÚ, Öì Ïæ, µÈ. 18F-FDG PET/CT˫ʱÏàÏÔÏñ´úл²ÎÊý¶Ô¹ÂÁ¢ÐԷνá½ÚµÄÕï¶Ï¼ÛÖµ[J]. °©Ö¢, 2020, 39(12): 563-570.
23 Garcia-Velloso JM, Bastarrika G, De-Torres PJ, et al. Assessment of indeterminate pulmonary nodules detected in lung cancer screening: Diagnostic accuracy of FDG PET/CT[J]. Lung Cancer, 2016, 97: 81-86.
24 Buck AK, Halter G, Schirrmeister H, et al. Imaging proliferation in lung tumors with PET: 18F-FLT versus 18F-FDG[J]. J Nucl Med, 2003, 44(9): 1426-1431.
25 Yavuz Sami Salihoglu, Rabiye Uslu Erdemir, Bü
ÿðþ ‰D ra Aydur Püren, et al. Diagnostic performance of machine learning models based on?18F-FDG PET/CT radiomic features in the classification of solitary pulmonary nodules[J]. Mol Imaging Radionucl Ther, 2022, 31(2): 82-88.
26 Ohno Y, Fujisawa Y, Yui M, et al. Solitary pulmonary nodule: Comparison of quantitative capability for differentiation and management among dynamic CE-perfusion MRI at 3 T system, dynamic CE-perfusion ADCT and FDG-PET/CT[J]. Eur J Radiol,2019, 115: 22-30.
27 ÀµÖÇ·å, Ñî ºé, ÂÀÕñº®. 18F-FDG PET/CT¡¢HRCTÁªºÏѪÇåÖ×Áö±êÖ¾ÎïÕï¶Ï¹ÂÁ¢ÐԷνá½ÚµÄ¼ÛÖµ·ÖÎö[J]. Öйúҽѧ´´ÐÂ, 2022, 19(11): 137-140.
28 Li Y, Shi YB, Hu CF. 18F-FDG PET/CT based model for predicting malignancy in pulmonary nodules: a meta-analysis[J]. J Cardiothorac Surg, 2024, 19(1): 148.
29 Zhao HC, Xu QS, Shi YB, et al. Clinical-radiological predictive model in differential diagnosis of small(¡Ü20 mm)solitary pulmonary nodules[J]. BMC Pulm Med, 2021, 21: 281.
30 Li L, Guo C, Wan JL, et al. The use of carcinoembryonic antigen levels to predict lung nodule malignancy: a meta-analysis[J]. Acta Clin Belg, 2022, 77: 227-232.

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