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, 陳卉. 醫學圖像紋理分析的方法及應用. 中國醫學裝備, 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.	潘立陽. 原發性肝癌相關因素1∶ 2病例對照研究. 大連: 大連醫科大學, 2008.
7.	謝歡, 印隆林, 茍文梟, 等. 胰腺實性假乳頭狀瘤的CT和MRI表現. 中國普外基礎與臨床雜志, 2016, 23(4): 493-498.
8.	楊世平, 魯昌立, 黃子星, 等. 胰腺實性假乳頭狀瘤的CT表現與病理對照(附8例分析). 中國普外基礎與臨床雜志, 2011, 18(1): 85-88.
9.	陳紹勤, 鄒聲泉, 李宏, 等. 胰腺實性假乳頭狀瘤與胰島細胞瘤的臨床病理對比研究. 中國普外基礎與臨床雜志, 2008, 15(11): 835-839.
10.	陳磊, 曹葦, 趙鑫, 等. 胰腺實性假乳頭狀瘤診治分析(附8例報道). 中國普外基礎與臨床雜志, 2011, 18(7): 764-766.
11.	張益軍, 翁永強, 袁祖榮. 胰腺實性假乳頭狀瘤臨床治療體會. 中國普外基礎與臨床雜志, 2010, 17(6): 611-612.
12.	李開宇, 徐福軍, 徐雷. 胰腺實性假乳頭狀瘤的診治進展. 中國普外基礎與臨床雜志, 2009, 16(5): 418-420.
13.	范俊, 郭肖陵, 李佽, 等. 胰腺實性假乳頭狀瘤2例報道. 中國普外基礎與臨床雜志, 2008, 15(5): 385-386.
14.	何賢祿, 張尚福, 盧強, 等. 胰腺實性假乳頭狀瘤的診斷與治療. 中國普外基礎與臨床雜志, 2008, 15(8): 564-565.
15.	郝建朋, 姚俊超, 郭大偉, 等. 胰腺囊性腫瘤19例診治分析. 中國普外基礎與臨床雜志, 2013, 20(11): 1295-1297.
16.	王亞軍, 李非, 孫家邦, 等. 胰腺囊性腫瘤臨床診治分析. 中國普外基礎與臨床雜志, 2012, 19(4): 424-428.
17.	吳昕, 張立陽, 廖泉, 等. 胰腺實性假乳頭狀瘤再手術4例報道. 中國普外基礎與臨床雜志, 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.	任繼亮, 吳穎為, 陶曉峰. 常規MRI紋理分析鑒別診斷眼眶淋巴瘤與炎性假瘤. 中國醫學影像技術, 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.	劉露, 吳霜, 伍兵. CT圖像紋理分析鑒別肝上皮樣血管內皮瘤與結腸癌肝轉移瘤的初步研究. 中國普外基礎與臨床雜志, 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, 陳卉. 醫學圖像紋理分析的方法及應用. 中國醫學裝備, 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. 潘立陽. 原發性肝癌相關因素1∶ 2病例對照研究. 大連: 大連醫科大學, 2008.
7. 謝歡, 印隆林, 茍文梟, 等. 胰腺實性假乳頭狀瘤的CT和MRI表現. 中國普外基礎與臨床雜志, 2016, 23(4): 493-498.
8. 楊世平, 魯昌立, 黃子星, 等. 胰腺實性假乳頭狀瘤的CT表現與病理對照(附8例分析). 中國普外基礎與臨床雜志, 2011, 18(1): 85-88.
9. 陳紹勤, 鄒聲泉, 李宏, 等. 胰腺實性假乳頭狀瘤與胰島細胞瘤的臨床病理對比研究. 中國普外基礎與臨床雜志, 2008, 15(11): 835-839.
10. 陳磊, 曹葦, 趙鑫, 等. 胰腺實性假乳頭狀瘤診治分析(附8例報道). 中國普外基礎與臨床雜志, 2011, 18(7): 764-766.
11. 張益軍, 翁永強, 袁祖榮. 胰腺實性假乳頭狀瘤臨床治療體會. 中國普外基礎與臨床雜志, 2010, 17(6): 611-612.
12. 李開宇, 徐福軍, 徐雷. 胰腺實性假乳頭狀瘤的診治進展. 中國普外基礎與臨床雜志, 2009, 16(5): 418-420.
13. 范俊, 郭肖陵, 李佽, 等. 胰腺實性假乳頭狀瘤2例報道. 中國普外基礎與臨床雜志, 2008, 15(5): 385-386.
14. 何賢祿, 張尚福, 盧強, 等. 胰腺實性假乳頭狀瘤的診斷與治療. 中國普外基礎與臨床雜志, 2008, 15(8): 564-565.
15. 郝建朋, 姚俊超, 郭大偉, 等. 胰腺囊性腫瘤19例診治分析. 中國普外基礎與臨床雜志, 2013, 20(11): 1295-1297.
16. 王亞軍, 李非, 孫家邦, 等. 胰腺囊性腫瘤臨床診治分析. 中國普外基礎與臨床雜志, 2012, 19(4): 424-428.
17. 吳昕, 張立陽, 廖泉, 等. 胰腺實性假乳頭狀瘤再手術4例報道. 中國普外基礎與臨床雜志, 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. 任繼亮, 吳穎為, 陶曉峰. 常規MRI紋理分析鑒別診斷眼眶淋巴瘤與炎性假瘤. 中國醫學影像技術, 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. 劉露, 吳霜, 伍兵. CT圖像紋理分析鑒別肝上皮樣血管內皮瘤與結腸癌肝轉移瘤的初步研究. 中國普外基礎與臨床雜志, 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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