Landmark-based auto-contouring of clinical target volumes for radiotherapy of nasopharyngeal cancer.

BACKGROUND: The delineation of clinical target volumes (CTVs) for radiotherapy for nasopharyngeal cancer is complex and varies based on the location and extent of disease. PURPOSE: The current study aimed to develop an auto-contouring solution following one protocol guidelines (NRG-HN001) that can be adjusted to meet other guidelines, such as RTOG-0225 and the 2018 International guidelines. METHODS: The study used 2-channel 3-dimensional U-Net and nnU-Net framework to auto-contour 27 normal structures in the head and neck (H&N) region that are used to define CTVs in the protocol. To define the CTV-Expansion (CTV1 and CTV2) and CTV-Overall (the outer envelope of all the CTV contours), we used adjustable morphological geometric landmarks and mimicked physician interpretation of the protocol rules by partially or fully including select anatomic structures. The results were evaluated quantitatively using the dice similarity coefficient (DSC) and mean surface distance (MSD) and qualitatively by independent reviews by two H&N radiation oncologists. RESULTS: The auto-contouring tool showed high accuracy for nasopharyngeal CTVs. Comparison between auto-contours and clinical contours for 19 patients with cancers of various stages showed a DSC of 0.94 ± 0.02 and MSD of 0.4 ± 0.4 mm for CTV-Expansion and a DSC of 0.83 ± 0.02 and MSD of 2.4 ± 0.5 mm for CTV-Overall. Upon independent review, two H&N physicians found the auto-contours to be usable without edits in 85% and 75% of cases. In 15% of cases, minor edits were required by both physicians. Thus, one physician rated 100% of the auto-contours as usable (use as is, or after minor edits), while the other physician rated 90% as usable. The second physician required major edits in 10% of cases. CONCLUSIONS: The study demonstrates the ability of an auto-contouring tool to reliably delineate nasopharyngeal CTVs based on protocol guidelines. The tool was found to be clinically acceptable by two H&N radiation oncology physicians in at least 90% of the cases.

Double longitudinal myotomy in gender-affirming colovaginoplasty: an innovative surgical technique to prevent and treat neovaginal spasms.

BACKGROUND: Gender-affirming colovaginoplasty (GACv) presents excellent postoperative results. However, neovaginal spasms, reported as painful cramps, can affect the sexual life of patients. AIM: The study sought to describe an innovative surgical technique and evaluate its impact on the prevention and treatment of neovaginal spasms. METHODS: This was a single-center prospective observational study with 2 series of patients: (1) patients who underwent GACv with double myotomy (DM) for spasm prevention (series A), in which longitudinal myotomies were performed across the defunctionalized colon, transecting the taenias, and resecting 2 strips of the intestinal muscle layer of approximately 1- to 2-mm wide and tall, leaving intact colonic tissue between strips; and (2) patients who reported neovaginal spasms in whom intravaginal-DM was performed as treatment surgery (series B), in which the posterior wall of the neovagina was dissected from the rectum and transected by longitudinal myotomies, resecting 2 strips of endoluminal mucosa and submucosal muscle of approximately 1- to 2-mm wide and tall, and the colonic mucosa was subsequently closed. OUTCOMES: Patient-reported outcomes and neovaginal examination were performed following standardized protocols. RESULTS: In series A, 177 patients underwent GACv with the DM technique and were prospectively followed for a median time of 18 months (interquartile range, 13-60 months). No patients reported neovaginal spasms. In series B, 18 patients who reported neovaginal spasms after GACv were treated with intravaginal DM. After a median time of 35 months (interquartile range, 26-45 months), 83% (n = 15 of 18) reported remission of symptoms. CLINICAL IMPLICATIONS: Double longitudinal myotomy performed on the derived portion of the colon in colovaginoplasty is an easy-to-perform and safe technique that may prevent and treat postoperative neovaginal spasms. STRENGTHS AND LIMITATIONS: Our results presented certain limitations, mainly associated with a low prevalence of neovaginal spasms, which, being of personal perception, can be underdiagnosed. To the same extent, the fact that it is a monocentric experience limits the possibility of extrapolating it to other centers. Moreover, a more trained surgical team may be the cause of fewer postoperative complications. On the other hand, the fact of being a reference center for gender-affirming surgery, having our procedures protocolized, and the prospective nature of the study allowed us to obtain a certain homogeneity and granularity of the results. CONCLUSION: DM is a safe procedure and appears to be highly effective for the prevention and treatment of neovaginal spasms after GACv. Routine use of this technique does not increase the operating time or postoperative complications. Multicenter, prospective studies are required to validate our results.

Radiomics Analyses to Predict Histopathology in Patients with Metastatic Testicular Germ Cell Tumors before Post-Chemotherapy Retroperitoneal Lymph Node Dissection.

BACKGROUND: The identification of histopathology in metastatic non-seminomatous testicular germ cell tumors (TGCT) before post-chemotherapy retroperitoneal lymph node dissection (PC-RPLND) holds significant potential to reduce treatment-related morbidity in young patients, addressing an important survivorship concern. AIM: To explore this possibility, we conducted a study investigating the role of computed tomography (CT) radiomics models that integrate clinical predictors, enabling personalized prediction of histopathology in metastatic non-seminomatous TGCT patients prior to PC-RPLND. In this retrospective study, we included a cohort of 122 patients. METHODS: Using dedicated radiomics software, we segmented the targets and extracted quantitative features from the CT images. Subsequently, we employed feature selection techniques and developed radiomics-based machine learning models to predict histological subtypes. To ensure the robustness of our procedure, we implemented a 5-fold cross-validation approach. When evaluating the models' performance, we measured metrics such as the area under the receiver operating characteristic curve (AUC), sensitivity, specificity, precision, and F-score. RESULT: Our radiomics model based on the Support Vector Machine achieved an optimal average AUC of 0.945. CONCLUSIONS: The presented CT-based radiomics model can potentially serve as a non-invasive tool to predict histopathological outcomes, differentiating among fibrosis/necrosis, teratoma, and viable tumor in metastatic non-seminomatous TGCT before PC-RPLND. It has the potential to be considered a promising tool to mitigate the risk of over- or under-treatment in young patients, although multi-center validation is critical to confirm the clinical utility of the proposed radiomics workflow.

Deep learning-based dose prediction to improve the plan quality of volumetric modulated arc therapy for gynecologic cancers.

BACKGROUND: In recent years, deep-learning models have been used to predict entire three-dimensional dose distributions. However, the usability of dose predictions to improve plan quality should be further investigated. PURPOSE: To develop a deep-learning model to predict high-quality dose distributions for volumetric modulated arc therapy (VMAT) plans for patients with gynecologic cancer and to evaluate their usability in driving plan quality improvements. METHODS: A total of 79 VMAT plans for the female pelvis were used to train (47 plans), validate (16 plans), and test (16 plans) 3D dense dilated U-Net models to predict 3D dose distributions. The models received the normalized CT scan, dose prescription, and target and normal tissue contours as inputs. Three models were used to predict the dose distributions for plans in the test set. A radiation oncologist specializing in the treatment of gynecologic cancers scored the test set predictions using a 5-point scale (5, acceptable as-is; 4, prefer minor edits; 3, minor edits needed; 2, major edits needed; and 1, unacceptable). The clinical plans for which the dose predictions indicated that improvements could be made were reoptimized with constraints extracted from the predictions. RESULTS: The predicted dose distributions in the test set were of comparable quality to the clinical plans. The mean voxel-wise dose difference was -0.14 ± 0.46 Gy. The percentage dose differences in the predicted target metrics of D 1 % ${D}_{1{\mathrm{\% }}}$ and D 98 % ${D}_{98{\mathrm{\% }}}$ were -1.05% ± 0.59% and 0.21% ± 0.28%, respectively. The dose differences in the predicted organ at risk mean and maximum doses were -0.30 ± 1.66 Gy and -0.42 ± 2.07 Gy, respectively. A radiation oncologist deemed all of the predicted dose distributions clinically acceptable; 12 received a score of 5, and four received a score of 4. Replanning of flagged plans (five plans) showed that the original plans could be further optimized to give dose distributions close to the predicted dose distributions. CONCLUSIONS: Deep-learning dose prediction can be used to predict high-quality and clinically acceptable dose distributions for VMAT female pelvis plans, which can then be used to identify plans that can be improved with additional optimization.

A deep learning-based approach for statistical robustness evaluation in proton therapy treatment planning: a feasibility study.

Objective. Robustness evaluation is critical in particle radiotherapy due to its susceptibility to uncertainties. However, the customary method for robustness evaluation only considers a few uncertainty scenarios, which are insufficient to provide a consistent statistical interpretation. We propose an artificial intelligence-based approach that overcomes this limitation by predicting a set of percentile dose values at every voxel and allows for the evaluation of planning objectives at specific confidence levels.Approach. We built and trained a deep learning (DL) model to predict the 5th and 95th percentile dose distributions, which corresponds to the lower and upper bounds of a two-tailed 90% confidence interval (CI), respectively. Predictions were made directly from the nominal dose distribution and planning computed tomography scan. The data used to train and test the model consisted of proton plans from 543 prostate cancer patients. The ground truth percentile values were estimated for each patient using 600 dose recalculations representing randomly sampled uncertainty scenarios. For comparison, we also tested whether a common worst-case scenario (WCS) robustness evaluation (voxel-wise minimum and maximum) corresponding to a 90% CI could reproduce the ground truth 5th and 95th percentile doses.Main results. The percentile dose distributions predicted by DL yielded excellent agreements with the ground truth dose distributions, with mean dose errors below 0.15 Gy and average gamma passing rates (GPR) at 1 mm/1% above 93.9, which were substantially better than the WCS dose distributions (mean dose error above 2.2 Gy and GPR at 1 mm/1% below 54). We observed similar outcomes in a dose-volume histogram error analysis, where the DL predictions generally yielded smaller mean errors and standard deviations than the WCS evaluation doses.Significance. The proposed method produces accurate and fast predictions (∼2.5 s for one percentile dose distribution) for a given confidence level. Thus, the method has the potential to improve robustness evaluation.

Deep Learning-Based Dose Prediction for Automated, Individualized Quality Assurance of Head and Neck Radiation Therapy Plans.

PURPOSE: This study aimed to use deep learning-based dose prediction to assess head and neck (HN) plan quality and identify suboptimal plans. METHODS AND MATERIALS: A total of 245 volumetric modulated arc therapy HN plans were created using RapidPlan knowledge-based planning (KBP). A subset of 112 high-quality plans was selected under the supervision of an HN radiation oncologist. We trained a 3D Dense Dilated U-Net architecture to predict 3-dimensional dose distributions using 3-fold cross-validation on 90 plans. Model inputs included computed tomography images, target prescriptions, and contours for targets and organs at risk (OARs). The model's performance was assessed on the remaining 22 test plans. We then tested the application of the dose prediction model for automated review of plan quality. Dose distributions were predicted on 14 clinical plans. The predicted versus clinical OAR dose metrics were compared to flag OARs with suboptimal normal tissue sparing using a 2 Gy dose difference or 3% dose-volume threshold. OAR flags were compared with manual flags by 3 HN radiation oncologists. RESULTS: The predicted dose distributions were of comparable quality to the KBP plans. The differences between the predicted and KBP-planned D1%,D95%, and D99% across the targets were within -2.53% ± 1.34%, -0.42% ± 1.27%, and -0.12% ± 1.97%, respectively, and the OAR mean and maximum doses were within -0.33 ± 1.40 Gy and -0.96 ± 2.08 Gy, respectively. For the plan quality assessment study, radiation oncologists flagged 47 OARs for possible plan improvement. There was high interphysician variability; 83% of physician-flagged OARs were flagged by only one of 3 physicians. The comparative dose prediction model flagged 63 OARs, including 30 of 47 physician-flagged OARs. CONCLUSIONS: Deep learning can predict high-quality dose distributions, which can be used as comparative dose distributions for automated, individualized assessment of HN plan quality.

Functional, aesthetic, and sensory postoperative complications of female genital gender affirmation surgery: A prospective study.

BACKGROUND: Female genital gender affirmation surgeries have increased in recent years. Prospective studies with homogeneous standardized techniques and outcomes assessment are scarce in the current literature. This study aims to: 1) report the functional, aesthetic, and sensory postoperative complications (POCs) of primary genital gender confirmation surgeries performed on transgender women and 2) compare functional and aesthetic POCs amongst three vaginoplasty techniques: inverted penile skin, penoscrotal skin graft, and pedicled intestinal flap vaginoplasty. METHODS: All (n = 84) consecutive transfemale individuals who underwent primary genital gender confirmation surgery from January 2015 to December 2016 at IMCLINIC were prospectively followed. Functional, aesthetic, and sensory POCs were registered according to the Clavien-Dindo POC classification. RESULTS: Functional POC rates after vaginoplasty at our centre were 19%, 12%, 13%, and 1% at short (one month), mid-early (three months), mid-late (six months), and long-term (one year) follow-up visits, respectively. None of them were severe complications (grades IV-V), 25% were grade III, and less than 20% were low-grade complications (grades I-II). Overall, aesthetic satisfaction was high (90%). The total number of secondary surgeries needed to satisfy the cosmetic outcome was 20 (aesthetic POC grade IIIb). No differences regarding functional or aesthetic complication rates amongst vaginoplasty techniques were encountered. Twelve months after surgery, 81% of patients had initiated sexual intercourse, and 96% reported clitoral sensitivity. CONCLUSIONS: In our experience, female genital gender affirmation surgery is a feasible, low-complication surgery that offers high satisfaction in the long term. Further multicentric well-designed research is mandatory to improve outcomes.

Global distribution of IRC7 alleles in Saccharomyces cerevisiae populations: a genomic and phenotypic survey within the wine clade.

The adaptation to the different biotic and abiotic factors of wine fermentation has led to the accumulation of numerous genomic hallmarks in Saccharomyces cerevisiae wine strains. IRC7, a gene encoding a cysteine-S-ß-lyase enzyme related volatile thiols production in wines, has two alleles: a full-length allele (IRC7F ) and a mutated one (IRC7S ), harbouring a 38 bp-deletion. Interestingly, IRC7S -encoding a less active enzyme - appears widespread amongst wine populations. Studying the global distribution of the IRC7S allele in different yeast lineages, we confirmed its high prevalence in the Wine clade and demonstrated a minority presence in other domesticated clades (Wine-PDM, Beer and Bread) while it is completely missing in wild clades. Here, we show that IRC7S -homozygous (HS) strains exhibited both fitness and competitive advantages compared with IRC7F -homozygous (HF) strains. There are some pieces of evidence of the direct contribution of the IRC7S allele to the outstanding behaviour of HS strains (i.e., improved response to oxidative stress conditions and higher tolerance to high copper levels); however, we also identified a set of sequence variants with significant co-occurrence patterns with the IRC7S allele, which can be co-contributing to the fitness and competitive advantages of HS strains in wine fermentations.

Labiaplasty with Clitoropexy.

Supplemental Digital Content is available in the text.

Manejo de perforación esofágica tardía, secundario a cirugía de columna cervical anterior / Management of a late esophageal perforation secondary to an anterior cervical spine surgery

Resumen Introducción: La cirugía anterior de columna cervical es un procedimiento de rutina para la fijación de fracturas vertebrales inestables, las indicaciones para estabilización de las vértebras son osteomielitis, tumores espinales y trauma. Objetivo: Informar sobre una de las complicaciones poco frecuentes y potencialmente peligrosas de la fijación de columna cervical por vía anterior. Pacientes y métodos: CASO 1: Paciente del sexo masculino de 41 años de edad que sufrió un accidente automovilístico. La tomografía reportó fractura del arco anterior de C1 y fractura de apófisis espinosa de C5-C6. Fue intervenido quirúrgicamente, y se le colocó osteosíntesis con placa. Un mes después presentó perforación esofágica, por lo que fue reintervenido, se le retiró la osteosíntesis, se le realizó un drenaje y se le colocó sistema VAC. Fue dado de alta por evolucionar adecuadamente. CASO 2: Paciente mujer de 53 años de edad, que inició su padecimiento un mes antes, con dolor cervicodorsal. Se le realizó una resonancia magnética en la que se encontró hernia discal C4-C5, C5-C6; se realizó artroplastia con prótesis en C4-C5. Cinco meses después, presentó migración del implante protésico; fue intervenida para retirar la prótesis, y presentó perforación esofágica. Fue reintervenida, se realizó el lavado de herida quirúrgica y se le colocó sistema VAC. Evolucionó de forma satisfactoria, por lo que egresó por mejoría. Resultados: La perforación cervical posterior a cirugía anterior de columna cervical es una complicación poco frecuente, y es indispensable su reconocimiento y diagnóstico temprano. Conclusiones: La perforación esofágica posterior a la fijación anterior de columna cervical es una complicación muy rara, con una incidencia de 0.25%, cuya mortalidad es elevada de no ser diagnosticada de manera temprana.

Abstract Introduction: The anterior cervical spine surgery is a routine procedure for the fixation of unstable vertebral fractures; the indications for stabilization of the vertebrae are osteomyelitis, spinal tumors and trauma. Objective: To inform about one of the rare and potentially dangerous complications of the cervical spine fixation by anterior approach. Patients and methods: CASE 1: A 41 year-old male patient who had a car accident. The tomography shows a fracture of the anterior arch of C1 and a spinous process fracture of C5-C6. He underwent surgery, and osteosynthesis with plate fixation was placed. A month later he presented esophageal perforation, and underwent surgery again. Osteosynthesis was removed, drainage was performed and a VAC system was placed. He was discharged by adequate evolution. CASE 2: A 53 year-old female patient, began her condition a month earlier with cervicodorsal pain. A magnetic resonance was performed finding disc herniation C4-C5, C5-C6. An arthroplasty with prosthesis in C4-C5 was performed. Five months later, she presented migration of the prosthetic implant and underwent surgery again to remove the prosthesis, presenting esophageal perforation. The surgical wound was washed and a VAC system was placed with satisfactory evolution. Results: A cervical perforation after an anterior cervical spine surgery is a rare complication; an early diagnosis is crucial.

Aesthetic Refinement in the Creation of the Clitoris, Its Preputial Hood, and Labia Minora in Male-to-Female Transsexual Patients.

BACKGROUND: In male-to-female genital sex reassignment surgery, the clitoris, its prepuce, and the labia minora remain among the most difficult structures to construct. We describe the authors' clitoroplasty and vulvoplasty technique. METHODS: All patients who underwent male-to-female sex reassignment surgery at a single center, between June 2012 and June 2016, were prospectively included. The standard pedicled island neurovascular flap of the glans penis was harvested in a letter M fashion with attached preputial skin. The central triangle of the M was used for the neoclitoris formation. Labia minora and the clitoral prepuce were created with both legs of the M and the preputial skin attached to it. Tactile and erogenous sensitivity was evaluated. RESULTS: Ninety-seven patients were included (mean age, 32 years; range, 17-54 years). All clitoroplasties and vulvoplasties were completed in the same surgical stage as the vaginoplasty. There were no cases of deep or total flap necrosis. Eight patients developed partial and superficial skin necrosis of the flap; one presented an abscess in labia majora, and another patient had urethral hematoma; both required drainage. None of the complications left any sequelae. At 6 months' follow-up all patients maintained tactile and erogenous sensitivity. CONCLUSIONS: The proposed technique represents an aesthetic refinement of the previously described pedicled glans penis flap by allowing the creation of a sensate neoclitoris, its preputial hood, and labia minora with excellent outcomes in the same surgical stage as the sex reassignment.

[Accidental ingestion of dental prostheses; 2 scenarios in the management and outcome. Case reports]. / Ingestión accidental de prótesis dental, 2 panoramas en el manejo y evolución. Reporte de casos.

BACKGROUND: Foreign body ingestion is the second cause of endoscopic emergency in the elderly, and dentures are the most frequent accidently ingested objects. Once in the stomach, their expulsion can be expected in 4 to 6 days. The treatment is wait and see in asymptomatic patients, but preventive endoscopic removal can also be performed. OBJECTIVE: To present 2 scenarios of the outcome and treatment in patients with foreign body ingestion. CASE REPORT: Patient under study due to weight loss, with a denture detected by abdominal x-ray, ingested inadvertently a year ago. A laparotomy was required as extraction by colonoscopy failed, due to excessive inflammation. The second case, of 24-hour onset, was due to the ingestion of a partial denture. As duodenal endoscopy extraction was unsuccessful, the patient was kept under observation. When it did not pass the caecum, it was extracted by colonoscopy, with no further complications and shorter hospital stay. CONCLUSIONS: Follow-up can be by simple abdominal x-ray, with endoscopic management if there is insufficient progress. In one of our cases, the outcome was unfavourable due to time of ingestion, and endoscopic management was not possible, whereas in the second case colonoscopy was performed early with success. Proper diagnostic and timely treatment mark the difference in the progression and outcome of the ingestion of foreign bodies.