Добавил:
kiopkiopkiop18@yandex.ru t.me/Prokururor I Вовсе не секретарь, но почту проверяю Опубликованный материал нарушает ваши авторские права? Сообщите нам.
Вуз: Предмет: Файл:

Ординатура / Хирургия / @xirurgi_2025 / @xirurgi_2025 - 566 - файл

.pdf
Скачиваний:
0
Добавлен:
29.08.2026
Размер:
24 Мб
Скачать
8 3D Modeling withCT
https://t.me/medicina_free
pathology, while the use of new reconstruction techniques such as volume rendering can be manipulated to orient the stomach, pro­viding superior images compared to shaded surface display ren­dered images seen in early 3D imaging (CT gastroscopy). Additionally, visualization of lesions in multiple planes with 3D CT adds valuable perspective by enhancing depth perception and improving the characterization of lesion morphology and spatial relationship to adjacent structures [2].
99
Gastric Cancer
CT imaging, in combination with endoscopic ultrasound (EUS), is commonly utilized for the evaluation and staging of gastric can­cers. While adequate stomach distention and the use of negative intraluminal contrast agents have increased the diagnostic accu­racy of CT, detection of gastric cancers with CT varies with the stage of cancer, ranging between 90 and 100% for advanced gas­tric cancer [19]. In contrast, the accuracy of CT in diagnosing early gastric cancers or depressed, endophytic lesions ranges from 20% with portal venous phase CT scan to 88% with arterial phase imaging [19]. Additionally, both EUS and traditional CT scans have been shown to be inaccurate in restaging of gastric cancer after neoadjuvant chemotherapy.
The advantages of 3D CT can further improve the detection of both early and advanced gastric tumors, with a reported diagnos­tic accuracy of 96% and 100%, respectively [20]. In patients with early gastric cancer, studies have demonstrated a signicantly higher detection rate (94%) with 3D CT imaging compared to axial images alone [21]. 3D CT has also demonstrated high accu­racy, sensitivity, and specicity in the staging assessment of locoregional spread, nodal involvement, and distant metastases [2]. In advanced gastric cancer, the use of 3D CT demonstrated superior tumor staging accuracy over axial imaging alone [22]. While EUS has higher accuracy rates of T staging (87%), accurate assessment of N stage is equivalent to 3D CT, which has reported accuracy of 83% and 75% for tumor and nodal staging, respec­tively [20].
100
https://t.me/medicina_free
More recently, tumor volumetric studies have further broad­ened the potential clinical applications of 3D CT in gastric cancer. Tumor volume measurements on CT have demonstrated a strong correlation with pathologic T and N stages for gastric cancer, both in patients who have not received treatment and restaging follow­ing neoadjuvant chemotherapy [23, 24]. The utility of 3D CT volumetry was further investigated in advanced gastric cancer patients who underwent neoadjuvant chemotherapy. The study showed that the percentage volume reduction rate of the primary gastric tumor correlated highly with histopathologic tumor regres­sion and can be used to predict tumor response to neoadjuvant chemotherapy [25].
A. M. Kao and P. D. Colavita
Gastric Lymphoma
In patients with gastric lymphoma, CT scan remains the primary imaging modality for the evaluation and staging. On CT imaging, lymphomas can appear with nonspecic ndings of diffuse gas­tric wall thickening, inltrating lesions, or a polypoid mass. Preservation of gastric distensibility and nodular thickening of the gastric folds are features seen with lymphoma and can help dif­ferentiate them from adenocarcinoma. Other distinguishing fea­tures on CT imaging suggestive of lymphoma include lymphadenopathy below the renal hilum.
Gastrointestinal Stromal Tumors (GISTs)
CT scan is the preferred diagnostic test of choice for GISTs, due to the limited evaluation of submucosal pathology with traditional upper endoscopy. GISTs often appear on CT as exophytic submu­cosal lesions in the gastric body or antrum, however, can also present as an intraluminal mass. GISTs can grow to a large size, with tumors frequently ranging between 3 and 10cm in size, and heterogeneous enhancement can be seen in larger tumors due to tumor necrosis. Similarly, mucosal ulceration can occur resulting in CT ndings of extraluminal air or contrast within the lesion.
8 3D Modeling withCT
https://t.me/medicina_free
101
Gastrectomy: Preoperative andPostoperative Evaluation
The role of 3D CT in preoperative planning prior to gastric sur­gery has been described in patients with gastric cancer, as well as the bariatric patient population [2628]. Laparoscopic-assisted gastrectomy is less invasive and now widely performed due to benets in recovery time and quality of life; however, disadvan­tages of laparoscopy include the limited view of the entire stom­ach and increased operative time required to identify anatomic vasculature. Several studies evaluating the utility of preoperative 3D CT in laparoscopic gastric cancer surgery describe its efcacy in visualizing pertinent gastric vascular anatomy with 100% sen­sitivity in identifying the left and right gastric arteries [27]. 3D CT also allowed for preoperative assessment of individual variation in vasculature such as a replaced left hepatic artery, which can be unintentionally ligated if misidentied intraoperatively, resulting in postoperative liver dysfunction [26, 27]. In addition to vascular anatomy, 3D CT can be used in gastric cancer surgery to simulate the complex anatomical variations of the splenic hilum and assist with lymph node dissection. Comparative studies of surgical out­comes with and without preoperative 3D CT simulation reveal signicantly reduced operative time and blood loss with 3D CT simulation, while other authors report a larger harvest of splenic hilum (station 10) lymph nodes. Additionally, identication of the caudal pancreatic artery or vein on 3D CT can increase the pres­ervation of these vessels, which may prevent the development of postoperative pancreatic stula [28].
CT is commonly obtained in the postoperative setting in patients who have undergone partial or total gastrectomy. In gas­tric cancer patients, CT plays a role in surveillance and is used to detect the presence of disease recurrence or progression to meta­static spread during the follow-up period. After bariatric surgery, CT imaging can be used to evaluate the anastomosis after gastric bypass and is frequently used to detect complications including bleeding, perforation, or internal hernia [19, 29]. Similarly, 3D CT after Roux-en-Y gastric bypass can be used to derive accurate
102
https://t.me/medicina_free
A. M. Kao and P. D. Colavita
measurements of pouch volume, a key component of weight loss after bariatric surgery [30]. In the acute postoperative setting, 3D CT allows for immediate assessment of the anastomosis and structural integrity of the pouch.
The clinical utility of multidetector CT may also include the prediction of post-surgical weight loss after bariatric surgery, as traditional methods of estimating gastric volume have been vari­able and often inaccurate. Multiple studies of 3D CT volumetry in patients undergoing sleeve gastrectomy describe the feasibility and accuracy of gastric volumetric measurements and have estab­lished their relationship with estimated weight loss [31, 32]. Pawanindra etal. used multidetector CT to calculate the volume of the resected stomach in patients undergoing sleeve gastrectomy and demonstrated a strong correlation with early postoperative weight loss. Similar ndings were reported by Hanssen etal., who used 3D CT to measure the volume of the postoperative gastric remnant 6 months after surgery, showing a strong correlation between remnant gastric volume> 100 mL and poor estimated weight loss [31]. One recent study attempted to minimize the varying degrees of gastric distention seen with heterogeneous CT protocols showed gastric wall volume, rather than gastric luminal volume, was the key indicator of weight loss 1year after sleeve gastrectomy [32].
References
1. Pietrabissa A, Marconi S, Negrello E, etal. An overview on 3D printing for abdominal surgery. Surg Endosc. 2020;34(1):1–13. https://doi.
org/10.1007/s00464- 019- 07155- 5.
2. Duan SY, Zhang DT, Lin QC, Wu YH. Clinical value of CT three­dimensional imaging in diagnosing gastrointestinal tract diseases. World J Gastroenterol. 2006;12(19):2945–8. https://doi.org/10.3748/wjg.v12.
i18.2945.
3. Carrascosa P, Capuñay C, Martín López E, Salis G, Mazzadi S, Carrascosa J.Esophageal stenosis: three-dimensional multidetector CT and virtual endoscopy. Abdom Imaging. 2009;34(1):19–25. https://doi.org/10.1007/
s00261- 008- 9435- 1.
8 3D Modeling withCT
https://t.me/medicina_free
4. Ba-Ssalamah A, Zacherl J, Noebauer-Huhmann IM, et al. Dedicated multi-detector CT of the esophagus: spectrum of diseases. Abdom Imaging. 2009;34(1):3–18. https://doi.org/10.1007/s00261- 007- 9290- 5.
5. Marano L, Ricci A, Savelli V, etal. From digital world to real life: a robotic approach to the esophagogastric junction with a 3D printed model. BMC Surg. 2019;19(1):1–6. https://doi.org/10.1186/s12893- 019-
0621- 6.
6. Ouyang W, Dass C, Zhao H, Kim C, Criner G.Multiplanar MDCT mea­surement of esophageal hiatus surface area: association with hiatal hernia and GERD.Surg Endosc. 2016;30(6):2465–72. https://doi.org/10.1007/
s00464- 015- 4499- 9.
7. Kavic SM, Segan RD, George IM, Turner PL, Roth JS, Park A. Classication of hiatal hernias using dynamic three-dimensional reconstruction. Surg Innov. 2006;13(1):49–52. https://doi.
org/10.1177/155335060601300108.
8. Mastrangelo MJ, Stich J, Hoskins JD, etal. Advancements in immersive virtual reality as a tool for preoperative planning for laparoscopic surgery. Stud Heal Technol Inf. 2002;85:274–9.
9. Kao AM, Ross SW, Otero J, etal. Use of computed tomography volumet­ric measurements to predict operative techniques in paraesophageal her­nia repair. Surg Endosc. 2020;34(4):1785–94. https://doi.org/10.1007/
s00464- 019- 06930- 8.
10. Dasgupta A, Jain P, Sandur S, Dolmatch BL, Geisinger MA, Mehta AC.Airway complications of esophageal self-expandable metallic stent. Gastrointest Endosc. 1998;47(6):4–7.
11. Di Simone MP, Mattioli S, D’Ovidio F, Bassi F.Three-dimensional CT imaging and virtual endoscopy for the placement of self-expandable stents in oesophageal and tracheobronchial neoplastic stenoses. Eur J Cardio-thoracic Surg. 2003;23(1):106–8. https://doi.org/10.1016/S1010-
7940(02)00620- 6.
12. Kim SH, Lee JM, Han JK, etal. Three-dimensional MDCT imaging and CT esophagography for evaluation of esophageal tumors: preliminary study. Eur Radiol. 2006;16(11):2418–26. https://doi.org/10.1007/s00330-
006- 0337- 8.
13. Panebianco V, Grazhdani H, Iafrate F, etal. 3D CT protocol in the assess­ment of the esophageal neoplastic lesions: can it improve TNM staging? Eur Radiol. 2006;16(2):414–21. https://doi.org/10.1007/s00330- 005-
2851- 5.
14. Cai H, Wang R, Li Y, Yang X, Cui Y.Role of 3D reconstruction in the evaluation of patients with lower segment oesophageal cancer. J Thorac Dis. 2018;10(7):3940–7. https://doi.org/10.21037/jtd.2018.06.119.
15. Wada T, Takeuchi H, Kawakubo H, etal. Clinical utility of preoperative evaluation of bronchial arteries by three-dimensional computed tomo­graphic angiography for esophageal cancer surgery. Dis Esophagus. 2013;26:616–22. https://doi.org/10.1111/dote.12012.
103
104
https://t.me/medicina_free
16. Mahalik SK, Sodhi KS, Narasimhan KL, Rao KLN.Role of preoperative 3D CT reconstruction for evaluation of patients with esophageal atresia and tracheoesophageal stula. Pediatr Surg Int. 2012;28(10):961–6.
https://doi.org/10.1007/s00383- 012- 3111- 9.
17. Fitoz S, Atasoy C, Yagmurlu A, Akyar S, Erden A, Dindar H. Three­dimensional CT of congenital esophageal atresia and distal tracheoesoph­ageal stula in neonates: preliminary results. Am J Roentgenol. 2000;175(5):1403–7. https://doi.org/10.2214/ajr.175.5.1751403.
18. Lam WW, Tam PKH, Chan F, Chan K, Cheung W.Esophageal atresia and tracheal stenosis: use of three-dimensional CT and virtual bronchoscopy in neonates, infants, and children. Am J Roentgenol. 2000;174:1009–12.
19. Nagpal P, Prakash A, Pradhan G, etal. MDCT imaging of the stomach: advances and applications. Br J Radiol. 2017;90(1069):20160412. https://
doi.org/10.1259/bjr.20160412.
20. Bhandari S, Shim CS, Kim JH, etal. Usefulness of three-dimensional, multidetector row CT (virtual gastroscopy and multiplanar reconstruc­tion) in the evaluation of gastric cancer: a comparison with conventional endoscopy, EUS, and histopathology. Gastrointest Endosc. 2004;59(6):619–26. https://doi.org/10.1016/S0016- 5107(04)00169- 5.
21. Lee DH, Ko YT. Gastric lesions: evaluation with three-dimensional images using helical CT.Am J Roentgenol. 1997;169:787–9.
22. Lee DH, Ko YT. Advanced gastric carcinoma: the role of three­dimensional and axial imaging by spiral CT. Abdom Imaging. 1999;24(2):111–6. https://doi.org/10.1007/s002619900456.
23. Hallinan JTPD, Venkatesh SK, Peter L, Makmur A, Yong WP, So JBY.CT volumetry for gastric carcinoma: association with TNM stage. Eur Radiol. 2014;24:3105–14. https://doi.org/10.1007/s00330- 014- 3316- 5.
24. Wang ZC, Wang C, Ding Y, Ji Y, Zeng MS, Rao SX.CT volumetry can potentially predict the local stage for gastric cancer after chemotherapy. Diagnostic Interv Radiol. 2017;23(4):257–62. https://doi.org/10.5152/
dir.2017.16517.
25. Lee SM, Kim SH, Lee JM, etal. Usefulness of CT volumetry for primary gastric lesions in predicting pathologic response to neoadjuvant chemo­therapy in advanced gastric cancer. Abdom Imaging. 2009;34(4):430–40.
https://doi.org/10.1007/s00261- 008- 9420- 8.
26. Lee SW, Shinohara H, Matsuki M, etal. Preoperative simulation of vas­cular anatomy by three-dimensional computed tomography imaging in laparoscopic gastric cancer surgery. J Am Coll Surg. 2003;197(6):927–
36. https://doi.org/10.1016/j.jamcollsurg.2003.07.021.
27. Matsuki M, Kani H, Tatsugami F, etal. Preoperative assessment of vascu­lar anatomy around the stomach by 3D imaging using MDCT before laparoscopy-assisted gastrectomy. Am J Roentgenol. 2004;183(1):145–
51. https://doi.org/10.2214/ajr.183.1.1830145.
28. Sunagawa H, Kinoshita T. Three-dimensional computed tomography simulation for laparoscopic lymph node dissection in the treatment of
A. M. Kao and P. D. Colavita
8 3D Modeling withCT
https://t.me/medicina_free
proximal gastric cancer. Transl Gastroenterol Hepatol. 2017;2(54):54.
https://doi.org/10.21037/tgh.2017.04.10.
29. Guniganti P, Bradenham CH, Raptis C, Menias CO, Mellnick VM.CT of gastric emergencies. Radiographics. 2015;35(7):1909–21.
30. Alva S, Eisenberg D, Duffy A, Roberts K, Israel G, Bell R.Virtual three­dimensional computed tomography assessment of the gastric pouch fol­lowing laparoscopic roux-Y gastric bypass. Obes Surg. 2008;18(4):364–6.
https://doi.org/10.1007/s11695- 008- 9438- 6.
31. Hanssen A, Plotnikov S, Acosta G, etal. 3D volumetry and its correlation between postoperative gastric volume and excess weight loss after sleeve gastrectomy. Obes Surg. 2018;28(3):775–80. https://doi.org/10.1007/
s11695- 017- 2927- 8.
32. Lin CH, Hsu Y, Chen CL, etal. Impact of 3D-CT-based gastric wall vol­ume on weight loss after laparoscopic sleeve gastrectomy. Obes Surg. 2020;30:4226. https://doi.org/10.1007/s11695- 020- 04783- y.
105
Role oftheGastric Emptying
https://t.me/medicina_free
Study
MichaelL.Williford andS.ScottDavis Jr.
Role ofaGastric Emptying Study
A gastric emptying study is a noninvasive method of obtaining an objective measure of the rate of gastric emptying. The study can be performed pre- or postoperatively and provides useful infor­mation that will help guide clinical decision-making. A nuclear medicine study to describe gastric emptying was rst reported in 1966 [1]. Over time, the technology has evolved, and the study is currently ordered to evaluate for both delayed and rapid gastric emptying. A joint consensus statement was released in 2008 by the Society of Nuclear Medicine and the American Neurogastroenterology and Motility Society that provides the fol­lowing framework for the performance and interpretation of a gastric emptying study [2].
9
M. L. Williford WakeMed Health and Hospitals, Raleigh, NC, USA
S. S. Davis Jr. (*) Emory Endosurgery Unit, Department of Surgery, Emory University, Atlanta, GA, USA e-mail: sdavisj@emory.edu
© Society of American Gastrointestinal and Endoscopic Surgeons (SAGES) 2023 A. D. Patel et al. (eds.), The SAGES Manual of Physiologic Evaluation of Foregut Diseases,
https://doi.org/10.1007/978-3-031-39199-6_9
107
108
https://t.me/medicina_free
Patients are asked to discontinue medications that could affect gastric motility, including prokinetic agents (e.g., metoclopramide), anticholinergics, and opioids. The patients are then kept without eating for 6h prior to the study. They are asked to eat a meal con­sisting of a low-fat solid (typically Tc-99 radiolabeled egg whites), and this is often accompanied by specic volumes of toast, jam, and water. Radiolabeled solids are most often used if there is a concern for delayed gastric emptying, as emptying of liquids may be pre­served in this condition. The meal must be nished within 10min. A gamma camera is then used to obtain anterior and posterior images of the stomach at the 0-, 1-, 2-, and 4-h time points. It is important to reach the 4-h time point if the results are indetermi­nate, as a patient may have the appearance of normal gastric empty­ing initially, but the results at the later time points may be abnormal.
Delayed gastric emptying is consistent with >90% of the radio­tracer present in the stomach at 1h, >60% at 2h, and >10% at 4h. Rapid gastric emptying is consistent with <70% of the radiotracer present in the stomach at 30min or <30% at 1h [3]. These normal values were determined by analyzing the results of asymptomatic volunteers.
M. L. Williford and S. S. Davis Jr.
Interpretation ofResults
The radiotracer counts will be analyzed and graphed over time. A typical radiologist interpretation includes a calculated half-time (the time at which 50% of the tracer has exited the stomach) and the percentages of the tracer remaining at the 0-, 1-, 2-, and 4-h time points. The following are actual patient vignettes with the associated gastric emptying study images and interpretation based on the above criteria.
Normal Gastric Emptying
Patient 1 is a 36-year-old woman with gastroparesis who origi­nally underwent gastric stimulator placement in 2012. Her ability to tolerate PO intake improved for several years, but in 2019 she
9 Role oftheGastric Emptying Study
https://t.me/medicina_free
Fig. 9.1 Anterior and posterior projections of the radiotracer within the stomach at various time points [4]
109
Fig. 9.2 Amount of radiotracer remaining in the stomach over time
developed recurrent symptoms. Interrogation of her battery revealed the need for replacement. She underwent battery replace­ment in January 2020, and the following images were obtained in March 2020 (Fig.9.1).
The raw percentage empty values in the right upper corner of the image (Fig.9.2) correspond with the 0-, 1-, 2-, and 4-h time points. When compared to the normal values listed above, each of these values remains within the expected range. Therefore, this
Соседние файлы в папке @xirurgi_2025