The easiest, practical thesis topic in your setup:
“Diagnostic accuracy of preoperative FDG PET-CT for axillary nodal metastasis in clinically node-negative early breast carcinoma, using sentinel lymph node biopsy histopathology as the reference standard.”
This fits your routine workflow: core biopsy -> PET-CT -> BCS/MRM with SLNB -> final histopathology. It needs no change in treatment, no expensive extra test, and can be done as a prospective observational study or, even more easily, as a retrospective-prospective study using existing records plus new cases.
Why this is a good resident thesis
- High feasibility: PET-CT and SLNB are already being done.
- Clear endpoint: compare PET axillary status with final SLN histopathology.
- Simple data collection: age, tumor size, grade, subtype, PET nodal findings, number of SLNs, SLN positivity, extracapsular extension if available.
- Straightforward statistics: sensitivity, specificity, positive predictive value, negative predictive value, accuracy, and ROC analysis if you use SUVmax.
- Useful local data: PET performance may differ by tumor burden, subtype, size, and reporting protocol in your own patient population.
- You can finish it without needing long follow-up for recurrence or survival.
Suggested protocol
Population
- Newly diagnosed invasive breast carcinoma
- cT1-2, clinically node-negative axilla
- Planned upfront BCS/MRM with SLNB
- Preoperative PET-CT performed as part of routine institutional work-up
Exclude
- Neoadjuvant chemotherapy before SLNB
- Clinically node-positive axilla
- Prior axillary surgery
- Distant metastatic disease
- Missing PET or final pathology report
Primary objective
- To determine the diagnostic accuracy of PET-CT in detecting axillary lymph-node metastasis, with SLNB histopathology as the reference standard.
Secondary objectives
- Correlation of PET-positive axilla with number of involved SLNs.
- Association of PET accuracy with primary tumor size, grade, ER/PR/HER2 subtype, Ki-67, and lymphovascular invasion.
- Evaluation of SUVmax or PET morphologic features, if consistently reported.
- Estimation of occult nodal metastasis among PET-negative patients.
Important methods point: Do not call this a study of “false-negative rate of SLNB” because you will not be doing ALND in every SLNB-negative patient. Your reference standard is final SLNB histology, and you are measuring the diagnostic performance of PET-CT against that standard.
A sample size of roughly 100 to 150 eligible patients is usually realistic for a resident project, but have your biostatistician calculate it based on your expected SLN positivity rate and desired precision.
My ranking of easy topics for you
| Rank | Thesis topic | Difficulty | Comment |
|---|
| 1 | PET-CT versus SLNB histopathology for axillary staging in cN0 early breast cancer | Easy | Best fit if PET is routinely performed |
| 2 | Clinicopathological predictors of positive SLNB in clinically node-negative breast cancer | Very easy | Safest retrospective thesis, but less novel |
| 3 | Audit of BCS: margin positivity, re-excision rate, and predictors of positive margins | Easy | Excellent if pathology and operative records are reliable |
| 4 | Comparison of early arm morbidity after SLNB versus ALND | Moderate | Clinically meaningful, but requires standardized follow-up and lymphedema assessment |
| 5 | Pattern of discordance between PET-CT and final pathological stage in breast carcinoma | Easy-moderate | Broader than axilla, but can become messy unless tightly defined |
Best backup topic if PET reports are inconsistent
“Clinicopathological predictors of sentinel lymph node metastasis in clinically node-negative breast carcinoma: a single-center observational study.”
This is probably the lowest-risk thesis administratively. You can include all patients who underwent upfront SLNB and study tumor size, grade, lymphovascular invasion, histology, multifocality, receptor subtype, Ki-67, and imaging findings. The drawback is that it is a common topic, so add a practical angle such as a local predictive score or comparison with preoperative axillary ultrasound/PET findings.
Topic I would avoid
- MRM versus BCS survival comparison: difficult because of selection bias, differing stages, adjuvant treatment confounding, and long follow-up requirements.
- SLNB versus ALND oncologic outcomes: same problem, plus ALND indications are selective.
- PET-CT effect on survival: requires large numbers and prolonged follow-up.
- SLNB identification rate / false-negative rate: only worthwhile if you have a carefully standardized mapping protocol and enough completion ALNDs for validation.
Clinical relevance
Axillary surgery is used for staging through SLNB and for treatment in selected node-positive disease, while ALND carries more morbidity (Bailey and Love’s
Short Practice of Surgery, p. 957). Current practice is moving toward de-escalation: the 2025 ASCO update states that routine SLNB can be omitted in a very selected low-risk group of postmenopausal women aged 50 years or older with negative axillary ultrasound, small grade 1-2 HR-positive/HER2-negative tumors undergoing breast-conserving therapy. It also advises against ALND for patients with one to two positive sentinel nodes receiving BCS and whole-breast radiotherapy in appropriate settings, as summarized in the
ASCO guideline update. That makes a local study of imaging-pathology concordance timely, but it should remain observational and
must not alter routine patient management solely for the thesis.
My final pick: choose the PET-CT versus SLNB histopathology study if your PET reports consistently document axillary findings. If not, choose predictors of positive SLNB.