| Literature DB >> 35056394 |
Giulia Borghese1, Francesca Coppola2, Diego Raimondo1, Antonio Raffone1,3, Antonio Travaglino4, Barbara Bortolani5, Silvia Lo Monaco2, Laura Cercenelli5, Manuela Maletta1, Arrigo Cattabriga2, Paolo Casadio1, Antonio Mollo6, Rita Golfieri2, Roberto Paradisi1, Emanuela Marcelli5, Renato Seracchioli1.
Abstract
Background and Objective: In recent years, 3D printing has been used to support surgical planning or to guide intraoperative procedures in various surgical specialties. An improvement in surgical planning for recto-sigmoid endometriosis (RSE) excision might reduce the high complication rate related to this challenging surgery. The aim of this study was to build novel presurgical 3D models of RSE nodules from magnetic resonance imaging (MRI) and compare them with intraoperative findings. Materials andEntities:
Keywords: anatomical models; endometriosis; magnetic resonance imaging; minimally invasive surgical procedures; three-dimensional image
Mesh:
Year: 2022 PMID: 35056394 PMCID: PMC8777715 DOI: 10.3390/medicina58010086
Source DB: PubMed Journal: Medicina (Kaunas) ISSN: 1010-660X Impact factor: 2.430
Figure 1Display of the process of obtaining the 3D virtual anatomical model (c) by segmentation of the anatomical regions of interest (b) based on the magnetic resonance imaging (MRI) scan (a), using D2PTM software (3D Systems).
Demographic, preoperative, and surgical data of the enrolled women.
| Baseline Characteristics | |
| Age, mean ± SD a, years | 35 ± 3 |
| BMI, mean ± SD a, kg/m² | 22.3 ± 2.4 |
| Parity ≥ 1, | 0/7 (0.0%) |
| Seek pregnancy, | 2/7 (28.6%) |
| Preoperative estrogen progestin combination therapy, | 2/7 (28.6%) |
| Preoperative progestin therapy, | 4/7 (57.1%) |
| Previous surgery for endometriosis, | 3/7 (42.9%) |
| Preoperative symptoms | |
| Dysmenorrhea | 6/7 (85.7%) |
| Chronic Pelvic Pain | 3/7 (42.9%) |
| Periovulatory pain | 2/7 (28.6%) |
| Dyschezia | 3/7 (42.9%) |
| Hematochezia | 1/7 (14.3%) |
| Constipation | 3/7 (42.9%) |
| Diarrhea | 2/7 (28.6%) |
| Dyspareunia | 3/7 (42.9%) |
| Dysuria | 0/7 (0.0%) |
| MRI c findings | |
| Uterine adenomyosis | 2/7 (28.6%) |
| Endometrioma | 3/7 (42.9%) |
| Bilateral endometrioma | 2/7 (28.6%) |
| Intestinal endometriosis | 7/7 (100.0%) |
| Recto-sigmoidal endometriosis | 7/7 (100.0%) |
| Maximum diameter of posterior endometriosis nodule, mean ± SD, mm | 42.9 ± 17.7 |
| Bowel stenosis | 5/7 (71.4%) |
| Vagina endometriosis, | 2/7 (28.6%) |
| Parametrium endometriosis, | 2/7 (28.6%) |
| Endometriosis of the utero-sacral ligaments, | 5/7 (71.4%) |
| Hydronephrosis | 0/7 (0.0%) |
| Surgical data | |
| Hysterectomy, | 0/7 (0.0%) |
| Monolateral salpingectomy, | 1/7 (14.3%) |
| Bilateral salpingectomy, | 0/7 (0.0%) |
| Ovariectomy, | 0/7 (0.0%) |
| Ovarian cystectomy, | 4/7 (57.1%) |
| Monolateral, | 2/7 (28.6%) |
| Bilateral, | 2/7 (28.6%) |
| Bladder shaving, | 0/7 (0.0%) |
| Cystectomy, | 0/7 (0.0%) |
| Rectal shaving, | 3/7 (42.9%) |
| Anterior discoid bowel resection, | 0/7 (0.0%) |
| Segmental bowel resection, | 4/7 (57.1%) |
| Low bowel resection, | 1/7 (14.2%) |
| Distance anus, mean ± SD, cm | 6.8 ± 3.7 |
| Appendectomy, | 0/7 (0.0%) |
| Monolateral ureterolysis, | 3/7 (42.9%) |
| Bilateral ureterolysis, | 1/7 (14.3%) |
| Ureteral nodule removal, (%) | 0/7 (0.0%) |
| Ureterectomy, | 0/7 (0.0%) |
| Vaginal opening, | 3/7 (42.9%) |
| Surgery duration, mean ± SD, min | 198 ± 51 |
a Standard Deviation; b Number of women; c Magnetic Resonance Imaging.
Figure 2Two-dimensional MRI images (a) and 3D models views (b) of the 7 included women. The 3D anatomic reconstruction of the recto-sigmoid endometriosis (RSE) nodule with the surrounding pelvic organs is presented, demonstrating their spatial relationship, as well as the isolated nodule to show the nodule’s extension (A–G). The cutting plane is shown in cases C, D and E.
Figure 3Display of case D 3D anatomic model including ureteral course (A). An exploded view of the anatomical relationship is presented (B).