Texture analysis based on CT images to differentiate atypical pancreatic solid pseudopapillary tumor and pancreatic adenocarcinoma: a preliminary study<italic/> _CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

HUANG Zixing , LI Mou , YU Haopeng , WANG Yu ,  SONG Bin

Department of Radiology, West China Hospital of Sichuan University, Chengdu 610041, P. R. China;

Corresponding author：

SONG Bin, Email: cjr.songbin@vip.163.com

Keywords：

computer tomography image; texture analysis; pancreatic solid pseudopapillary tumor; pancreatic ductal adenocarcinoma

DOI：

10.7507/1007-9424.201809007

Video：

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Objective To access the diagnostic performance of CT texture analysis to differentiate atypical pancreatic solid pseudopapillary tumor (SPT) from pancreatic ductal adenocarcinoma (PDAC). Methods CT images of 26 patients with pathologically proved atypical SPT and 52 patients with PDAC were analyzed. 3D regions of interest (ROIs) on arterial phase (AP) and portal venous phase (PVP) images were drawn by ITK-Snap software. A.K. software (GE company, USA) was used to extract texture features for the discrimination of atypical SPT and PDAC. After removing redundancy (by a correlation analysis through R software), texture features were selected by single-factor and multi-factor logistic regression, and logistic regression model was finally established. Receiver operating characteristic (ROC) analysis was performed to assess the diagnostic performance of single texture feature and logistic model. Results A total of 792 texture features ［396 of AP, 396 of PVP］ from AP and PVP CT images were obtained by A.K. software. Of these, 61 texture features (35 of AP, 26 of PVP) were selected by R software (result of correlation analysis showed that correlation coefficient >0.7). Two texture features, including MinIntensity and Correlation_AllDirection_offset1_SD, were selected to establish logistic model. The sensitivity and specificity of these 2 texture features were 71.15% and 76.92%, 63.46% and 76.92% respectively, the area under curve ( AUC) were 0.740 and 0.754 respectively. The model’s sensitivity and specificity were 73.08% and 80.77% respectively, the AUC value was 0.796. There was no significance among the model, MinIntensity, and Correlation_AllDirection_offset1_SD (P>0.05). Conclusions CT texture analysis of 3D ROI is a quantitative method for differential diagnosis of atypical SPT from PDAC.

Citation： HUANG Zixing, LI Mou, YU Haopeng, WANG Yu, SONG Bin. Texture analysis based on CT images to differentiate atypical pancreatic solid pseudopapillary tumor and pancreatic adenocarcinoma: a preliminary study . CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2018, 25(10): 1249-1253. doi: 10.7507/1007-9424.201809007 Copy

1.	Huang HL, Shih SC, Chang WH, et al. Solid-pseudopapillary tumor of the pancreas: clinical experience and literature review. World J Gastroenterol, 2005, 11(9): 1403-1409.
2.	Reddy S, Cameron JL, Scudiere J, et al. Surgical management of solid-pseudopapillary neoplasms of the pancreas (Franz or Hamoudi tumors): a large single-institutional series. J Am Coll Surg, 2009, 208(5): 950-957.
3.	朱碧云, 陈卉. 医学图像纹理分析的方法及应用. 中国医学装备, 2013, 10(8): 77-81.
4.	Lubner MG, Smith AD, Sandrasegaran K, et al. CT texture analysis: definitions, applications, biologic correlates, and challenges. Radiographics, 2017, 37(5): 1483-1503.
5.	Castellano G, Bonilha L, Li LM, et al. Texture analysis of medical images. Clin Radiol, 2004, 59(12): 1061-1069.
6.	潘立阳. 原发性肝癌相关因素1∶ 2病例对照研究. 大连: 大连医科大学, 2008.
7.	谢欢, 印隆林, 苟文枭, 等. 胰腺实性假乳头状瘤的CT和MRI表现. 中国普外基础与临床杂志, 2016, 23(4): 493-498.
8.	杨世平, 鲁昌立, 黄子星, 等. 胰腺实性假乳头状瘤的CT表现与病理对照(附8例分析). 中国普外基础与临床杂志, 2011, 18(1): 85-88.
9.	陈绍勤, 邹声泉, 李宏, 等. 胰腺实性假乳头状瘤与胰岛细胞瘤的临床病理对比研究. 中国普外基础与临床杂志, 2008, 15(11): 835-839.
10.	陈磊, 曹苇, 赵鑫, 等. 胰腺实性假乳头状瘤诊治分析(附8例报道). 中国普外基础与临床杂志, 2011, 18(7): 764-766.
11.	张益军, 翁永强, 袁祖荣. 胰腺实性假乳头状瘤临床治疗体会. 中国普外基础与临床杂志, 2010, 17(6): 611-612.
12.	李开宇, 徐福军, 徐雷. 胰腺实性假乳头状瘤的诊治进展. 中国普外基础与临床杂志, 2009, 16(5): 418-420.
13.	范俊, 郭肖陵, 李佽, 等. 胰腺实性假乳头状瘤2例报道. 中国普外基础与临床杂志, 2008, 15(5): 385-386.
14.	何贤禄, 张尚福, 卢强, 等. 胰腺实性假乳头状瘤的诊断与治疗. 中国普外基础与临床杂志, 2008, 15(8): 564-565.
15.	郝建朋, 姚俊超, 郭大伟, 等. 胰腺囊性肿瘤19例诊治分析. 中国普外基础与临床杂志, 2013, 20(11): 1295-1297.
16.	王亚军, 李非, 孙家邦, 等. 胰腺囊性肿瘤临床诊治分析. 中国普外基础与临床杂志, 2012, 19(4): 424-428.
17.	吴昕, 张立阳, 廖泉, 等. 胰腺实性假乳头状瘤再手术4例报道. 中国普外基础与临床杂志, 2012, 19(12): 1335-1337.
18.	Lee ES, Lee JM. Imaging diagnosis of pancreatic cancer: a state-of-the-art review. World J Gastroenterol, 2014, 20(24): 7864-7877.
19.	任继亮, 吴颖为, 陶晓峰. 常规MRI纹理分析鉴别诊断眼眶淋巴瘤与炎性假瘤. 中国医学影像技术, 2017, 33(7): 980-984.
20.	Chae HD, Park CM, Park SJ, et al. Computerized texture analysis of persistent part-solid ground-glass nodules: differentiation of preinvasive lesions from invasive pulmonary adenocarcinomas. Radiology, 2014, 273(1): 285-293.
21.	Dennie C, Thornhill R, Sethi-Virmani V, et al. Role of quantitative computed tomography texture analysis in the differentiation of primary lung cancer and granulomatous nodules. Quant Imaging Med Surg, 2016, 6(1): 6-15.
22.	刘露, 吴霜, 伍兵. CT图像纹理分析鉴别肝上皮样血管内皮瘤与结肠癌肝转移瘤的初步研究. 中国普外基础与临床杂志, 2018, 25(4): 483-487.
23.	Ferreira Junior JR, Koenigkam-Santos M, Cipriano FEG, et al. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. Comput Methods Programs Biomed, 2018, 159: 23-30.
24.	Weiss GJ, Ganeshan B, Miles KA, et al. Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic. PLoS One, 2014, 9(7): e100244.
25.	Fu XB, Hao ZQ, He JY, et al. Pathology comparative study on the characteristic CT signs in solid pseudopapillary neoplasm of the pancreas. Exp Ther Med, 2017, 13(6): 3523-3528.
26.	Hackeng WM, Hruban RH, Offerhaus GJ, et al. Surgical and molecular pathology of pancreatic neoplasms. Diagn Pathol, 2016, 11(1): 47.
27.	Esposito I, Konukiewitz B, Schlitter AM, et al. Pathology of pancreatic ductal adenocarcinoma: facts, challenges and future developments. World J Gastroenterol, 2014, 20(38): 13833-13841.

1. Huang HL, Shih SC, Chang WH, et al. Solid-pseudopapillary tumor of the pancreas: clinical experience and literature review. World J Gastroenterol, 2005, 11(9): 1403-1409.
2. Reddy S, Cameron JL, Scudiere J, et al. Surgical management of solid-pseudopapillary neoplasms of the pancreas (Franz or Hamoudi tumors): a large single-institutional series. J Am Coll Surg, 2009, 208(5): 950-957.
3. 朱碧云, 陈卉. 医学图像纹理分析的方法及应用. 中国医学装备, 2013, 10(8): 77-81.
4. Lubner MG, Smith AD, Sandrasegaran K, et al. CT texture analysis: definitions, applications, biologic correlates, and challenges. Radiographics, 2017, 37(5): 1483-1503.
5. Castellano G, Bonilha L, Li LM, et al. Texture analysis of medical images. Clin Radiol, 2004, 59(12): 1061-1069.
6. 潘立阳. 原发性肝癌相关因素1∶ 2病例对照研究. 大连: 大连医科大学, 2008.
7. 谢欢, 印隆林, 苟文枭, 等. 胰腺实性假乳头状瘤的CT和MRI表现. 中国普外基础与临床杂志, 2016, 23(4): 493-498.
8. 杨世平, 鲁昌立, 黄子星, 等. 胰腺实性假乳头状瘤的CT表现与病理对照(附8例分析). 中国普外基础与临床杂志, 2011, 18(1): 85-88.
9. 陈绍勤, 邹声泉, 李宏, 等. 胰腺实性假乳头状瘤与胰岛细胞瘤的临床病理对比研究. 中国普外基础与临床杂志, 2008, 15(11): 835-839.
10. 陈磊, 曹苇, 赵鑫, 等. 胰腺实性假乳头状瘤诊治分析(附8例报道). 中国普外基础与临床杂志, 2011, 18(7): 764-766.
11. 张益军, 翁永强, 袁祖荣. 胰腺实性假乳头状瘤临床治疗体会. 中国普外基础与临床杂志, 2010, 17(6): 611-612.
12. 李开宇, 徐福军, 徐雷. 胰腺实性假乳头状瘤的诊治进展. 中国普外基础与临床杂志, 2009, 16(5): 418-420.
13. 范俊, 郭肖陵, 李佽, 等. 胰腺实性假乳头状瘤2例报道. 中国普外基础与临床杂志, 2008, 15(5): 385-386.
14. 何贤禄, 张尚福, 卢强, 等. 胰腺实性假乳头状瘤的诊断与治疗. 中国普外基础与临床杂志, 2008, 15(8): 564-565.
15. 郝建朋, 姚俊超, 郭大伟, 等. 胰腺囊性肿瘤19例诊治分析. 中国普外基础与临床杂志, 2013, 20(11): 1295-1297.
16. 王亚军, 李非, 孙家邦, 等. 胰腺囊性肿瘤临床诊治分析. 中国普外基础与临床杂志, 2012, 19(4): 424-428.
17. 吴昕, 张立阳, 廖泉, 等. 胰腺实性假乳头状瘤再手术4例报道. 中国普外基础与临床杂志, 2012, 19(12): 1335-1337.
18. Lee ES, Lee JM. Imaging diagnosis of pancreatic cancer: a state-of-the-art review. World J Gastroenterol, 2014, 20(24): 7864-7877.
19. 任继亮, 吴颖为, 陶晓峰. 常规MRI纹理分析鉴别诊断眼眶淋巴瘤与炎性假瘤. 中国医学影像技术, 2017, 33(7): 980-984.
20. Chae HD, Park CM, Park SJ, et al. Computerized texture analysis of persistent part-solid ground-glass nodules: differentiation of preinvasive lesions from invasive pulmonary adenocarcinomas. Radiology, 2014, 273(1): 285-293.
21. Dennie C, Thornhill R, Sethi-Virmani V, et al. Role of quantitative computed tomography texture analysis in the differentiation of primary lung cancer and granulomatous nodules. Quant Imaging Med Surg, 2016, 6(1): 6-15.
22. 刘露, 吴霜, 伍兵. CT图像纹理分析鉴别肝上皮样血管内皮瘤与结肠癌肝转移瘤的初步研究. 中国普外基础与临床杂志, 2018, 25(4): 483-487.
23. Ferreira Junior JR, Koenigkam-Santos M, Cipriano FEG, et al. Radiomics-based features for pattern recognition of lung cancer histopathology and metastases. Comput Methods Programs Biomed, 2018, 159: 23-30.
24. Weiss GJ, Ganeshan B, Miles KA, et al. Noninvasive image texture analysis differentiates K-ras mutation from pan-wildtype NSCLC and is prognostic. PLoS One, 2014, 9(7): e100244.
25. Fu XB, Hao ZQ, He JY, et al. Pathology comparative study on the characteristic CT signs in solid pseudopapillary neoplasm of the pancreas. Exp Ther Med, 2017, 13(6): 3523-3528.
26. Hackeng WM, Hruban RH, Offerhaus GJ, et al. Surgical and molecular pathology of pancreatic neoplasms. Diagn Pathol, 2016, 11(1): 47.
27. Esposito I, Konukiewitz B, Schlitter AM, et al. Pathology of pancreatic ductal adenocarcinoma: facts, challenges and future developments. World J Gastroenterol, 2014, 20(38): 13833-13841.

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Texture analysis based on CT images to differentiate atypical pancreatic solid pseudopapillary tumor and pancreatic adenocarcinoma: a preliminary study

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